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		<title>生物实验室糗事20120517</title>
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" 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			我在实验室做实验的时候不被老鼠咬了一口，正想问老师会不会得鼠疫，没想到老师紧张地问我：“咱实验老鼠吃的是中草药，喝的是蒸馏水，你没啥病吧？”
有木有这么倒霉的孩子啊~~~~~~~~~~~~~~~~
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			话说本人就读于某医科大学…大一解剖课…中午不想回宿舍就买了个凉皮去实验室等上课
…以上背景……………哥革葛个……………
教室六张桌子…每张桌上一具干尸…褐色那种（参考牛肉干）。姐就在旁边吃凉皮…然后一个不小心…一条凉皮掉在那位叔叔还是爷爷的JJ上了…当时教室没别人…姐就淡定的拿起来扔掉………………后来老师来上课…路过我那桌…突然停下…闻啊闻…然后自言自语的说…福尔马林又没配足么…怎么这么酸…额……我只能沉默… 
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			由于是假期，实验室的同学大都没回来 今天蒸馏水送到了，只有一偏瘦男生和一女生在 水桶有八个是50斤或60斤的，另有一个是100斤的 提了几个五六十斤的桶，这男生是气喘吁吁，然后两人抬100斤的桶，甚是艰难，半天未成功。正要放弃，却见此男生一人将桶抱起 女生大为惊讶，问这男生怎么会突然这么有劲？ 男生回答说，刚才我一琢磨，以后娶个媳妇也得这么重吧 
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			背景：本人研究僧，有一JP导师，科研没的说，但是嗜好寻找（注意不是遇到）他人小辫，然后狠批。实验室规定：严禁我们往实验室带同学（话说实验室也只有破电脑）
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一日，一直长发飘飘的师兄来了个板寸，精神涣然一新。导师进门，看到一陌生板寸，于是小宇宙作祟，悄悄走到师兄身后，等着师兄回头，期待对其进行实验室规章教育。然而，天不随人愿，师兄淡定的注视电脑n久，木有回头的迹象。时间宝贵，导师于是选择主动出击，严肃的说：“同学你是谁，谁带你来我们实验室的？”师兄回头，一脸茫然，“老师，我是xx啊！”我们实在忍不住了，于是爆笑。可这不是gc ，导师不认为我们是笑他的幽默,于是怒道“笑什么，觉得老师傻是吧！！”于是我们耳边又回响起那句久违的话“再笑，再笑不让你毕业！！” 
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<p>找生物整理自糗事百科！</p>
]]></content:encoded>
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		<title>生物实验室糗事20120516</title>
		<link>http://www.91bio.com/biological-laboratory-embarrassments-20120516/</link>
		<comments>http://www.91bio.com/biological-laboratory-embarrassments-20120516/#comments</comments>
		<pubDate>Wed, 16 May 2012 11:26:08 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室糗事]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646172</guid>
		<description><![CDATA[找生物整理自糗事百科！]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="546" src="http://img.qiushibaike.com/system/pictures/983460/medium/20110528104341684.jpg" alt="" width="500" height="330" /></p>

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			我们实验室有个小妹试验中需要用到小白鼠，于是买了几只养在大实验室。小妹不敢摸小白鼠，所以经常让我给它换窝。因为以前没养过，养的过程中会出现问题。此为背景。
*****～～～～～～～～～*****
某天，小妹又让我帮忙给小白鼠换窝了。换过之后，我看到小白鼠屁股后面拖着一块粉色的肿块。 就问那是什么？小妹说以前也没见过，不知道。我说不会是生病了，屁股都肿那么高。于是翻了几个小白鼠都是，小妹慌了。拉着我去见老师。我们跟老师说小白鼠的屁股肿了，老师问特征，我们进行了描述，老师听的各种着急，实验室的另外一个小学妹听的很有兴趣。老师急了，说去看看。 小妹拉出小白鼠的笼子，指着粉色的肿块说，就是这，好几个都是。另一个小学妹也深长脑袋疑惑的去看。老师笑了，说那是小白鼠的睾丸。我和小学妹瞬间黑线！各自隐晦的笑着跑开了。 
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			师兄在实验室养了一缸小金鱼。各种各样的，很漂亮。不过不知道是不是照顾的方法不对，小鱼没过多久就一条一条的死去。最后还剩两条苦命鸳鸯的时候，我们也已经没有心情天天开心的喂金鱼，关心他们了。 今天上午，师兄趴在鱼缸前一动不动，我说你干嘛呢？他说鱼少了一条，找半天了不见了。我说：难道，难道被剩下那天吃了？师兄感叹一下，唉，两口子也靠不住啊。这时候，正在拖地的师姐忽然大叫一声：师兄，快看！ 我们顺着师姐指的方向看去，失踪的那天鱼静静的躺在地板上，已经近似鱼干了。 关键是，小鱼是什么时候跳出来的，它为什么想不开，我们都已经不知道了。 小师弟幽幽的来了句：一定是鱼缸里那口子长的实在太丑了！ 我们一起望过去：人才啊！ 
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			传说某导师超级抠门。有一日来实验室，核对使用的溶剂，发现少了10毫升甲醇（我艹！少了这么点也能发现？？？）然后就发脾气了，说学生浪费，不知道节省blablabla，最后追问这10毫升甲醇到底去哪了？有一师姐火了，咆哮道：我喝了！！！ 
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			晚上打水时听一姐妹打电话,白天有人在实验室逗鼠仔，被鼠妈咬了，还是咬的脸,GC来了,母鼠当时门牙抠进肉里,整只挂在那可怜孩纸的脸上</p>
<p>。。。那是牙还是钉书机啊。。。 
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<p>找生物整理自糗事百科！</p>
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		<title>推荐TEDtoChina网站资源</title>
		<link>http://www.91bio.com/the-recommended-tedtochina-web-resources/</link>
		<comments>http://www.91bio.com/the-recommended-tedtochina-web-resources/#comments</comments>
		<pubDate>Tue, 15 May 2012 00:48:53 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[TED]]></category>
		<category><![CDATA[在线资源]]></category>
		<category><![CDATA[实用资源]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646167</guid>
		<description><![CDATA[关于TEDtoChina项目 TED是一个会议的名称，它是英文technology, entertainment, design三个单词的首字母缩写。TED是社会各界精英交流的盛会，它鼓励各种创新思想的展示、碰撞。TED创始于1984年，现在由Chris Anderson创立的非营利机构种子基金会主办。TEDtoChina项目是一个非盈利的公益协作项目，由Tony Yet和Oliver Ding两位TED粉丝联合创立。该项目的使命是传播TED资讯，实践TED精神，推动TED中文社区的发展。 ==== TEDtoChina项目的愿景是：“演绎TED理念，服务本地创新”。 ==== 我们希望通过传播和演绎TED思想，鼓励和支持中国本地的社会创新，将国际尖端思想融入中国社会创新的进程。 ==== TEDtoChina 是什么？ ==== 是一个网站，但不是TED.com下属网站 是一个媒介，把TED连接到中国 是一个窗口，在这里你可以发现整个世界 是一个聚点，可以找到有共同志趣的TED粉丝 是一个社区，每个人都可以参与 是一个部落，也许你也能成为其中一员 ==== TEDtoChina项目的使命 ==== 传播TED资讯，实践TED精神，推动TED中文社区发展。 ==== TEDtoChina项目为实现其愿景和使命的具体行动计划 ==== 1. 进行TED演讲的翻译、推介和传播； 2. 对TED大奖进行推介并鼓励和支持本地类似项目； 3. 通过支持各地的TEDx活动来推动TED中文社区的发展。 ==== T2C 历史回顾 ==== 2006年，Tony开始知道有podcast这样东西。同年夏季，他在iTunes的podcast频道上发现了TED。于是下载观看，感觉甚为震撼！尤其记得当时看David Pogue钢琴伴奏的MS之歌更是爽。 2007年，Tony发现原来TED的世界竟然如此之大，从物理、生物、人文、地理、历史、时尚、设计、娱乐到技术，几乎无所不包。这一年从TED那里学到的不亚于从书本上学到的。 2008年，Tony开始写博客，开始做TED的翻译，开始关注互联网社区，还有是开始了TEDtoChina 2009年，开始欢迎志愿者加入；组织第一次TEDx；报道TED大会；TEDIndia；TEDtoChina周年纪念；TEDtoChina上海团队 2010年，开始有媒体关注（1、2、3）；TEDx遍地开花；专栏上线；TEDtoChina城市沙龙；获Ars Electronica数字社区荣誉奖；TEDtoChina两周年；重新思考TEDtoChina的未来。]]></description>
			<content:encoded><![CDATA[<p><img class="img-border aligncenter" src="http://img.ikeepu.com/img/20/10/78/634576536904375000.jpg" alt="" /></p>
<p>关于TEDtoChina项目<br />
TED是一个会议的名称，它是英文technology, entertainment, design三个单词的首字母缩写。TED是社会各界精英交流的盛会，它鼓励各种创新思想的展示、碰撞。TED创始于1984年，现在由Chris Anderson创立的非营利机构种子基金会主办。TEDtoChina项目是一个非盈利的公益协作项目，由<a href="http://www.tonyyet.com/">Tony Yet</a>和<a href="http://www.oliverding.com/">Oliver Ding</a>两位TED粉丝联合创立。该项目的使命是传播TED资讯，实践TED精神，推动TED中文社区的发展。</p>
<blockquote><p><strong>==== TEDtoChina项目的愿景是：“演绎TED理念，服务本地创新”。 ====</strong><br />
我们希望通过传播和演绎TED思想，鼓励和支持中国本地的社会创新，将国际尖端思想融入中国社会创新的进程。</p>
<p><strong>==== TEDtoChina 是什么？ ====</strong></p>
<p>是一个网站，但不是TED.com下属网站<br />
是一个媒介，把TED连接到中国<br />
是一个窗口，在这里你可以发现整个世界</p>
<p>是一个聚点，可以找到有共同志趣的TED粉丝<br />
是一个社区，每个人都可以参与<br />
是一个部落，也许你也能成为其中一员</p>
<p><strong>==== TEDtoChina项目的使命 ====</strong><br />
传播TED资讯，实践TED精神，推动TED中文社区发展。</p>
<p><strong>==== TEDtoChina项目为实现其愿景和使命的具体行动计划 ====</strong><br />
1. 进行TED演讲的翻译、推介和传播；<br />
2. 对TED大奖进行推介并鼓励和支持本地类似项目；<br />
3. 通过支持各地的TEDx活动来推动TED中文社区的发展。</p>
<p><strong>==== T2C 历史回顾 ====</strong></p>
<p>2006年，Tony开始知道有podcast这样东西。同年夏季，他在iTunes的podcast频道上发现了TED。于是下载观看，感觉甚为震撼！尤其记得当时看David Pogue钢琴伴奏的MS之歌更是爽。</p>
<p>2007年，Tony发现原来TED的世界竟然如此之大，从物理、生物、人文、地理、历史、时尚、设计、娱乐到技术，几乎无所不包。这一年从TED那里学到的不亚于从书本上学到的。</p>
<p>2008年，Tony开始写博客，开始做TED的翻译，开始关注互联网社区，还有是开始了TEDtoChina</p>
<p>2009年，开始欢迎志愿者加入；组织第一次TEDx；报道TED大会；TEDIndia；TEDtoChina周年纪念；TEDtoChina上海团队</p>
<p>2010年，开始有媒体关注（1、2、3）；TEDx遍地开花；专栏上线；TEDtoChina城市沙龙；获Ars Electronica数字社区荣誉奖；TEDtoChina两周年；重新思考TEDtoChina的未来。</p></blockquote>
<p style="text-align: center;"><a href='http://www.tedtochina.com/' target='_blank' class='big-button bigblue'><span>网站地址</span></a><div class="clear"></div></p>
]]></content:encoded>
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		<title>Millipore蛋白研究工具超市资料库</title>
		<link>http://www.91bio.com/millipore-protein-research-tools-supermarket-database/</link>
		<comments>http://www.91bio.com/millipore-protein-research-tools-supermarket-database/#comments</comments>
		<pubDate>Wed, 09 May 2012 05:53:22 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[millipore]]></category>
		<category><![CDATA[蛋白]]></category>
		<category><![CDATA[资料下载]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646164</guid>
		<description><![CDATA[PRO MART是millipore公司为蛋白研究建立的蛋白研究工具超市网站，其资料库内有非常丰富的有关蛋白研究的资料，如Western Blot技术、蛋白基本操作技术、蛋白功能研究、蛋白质组研究、信号通路蛋白研究、重组蛋白表达等电子资料，均为PDF格式供下载使用。 此外还有一个特色“膜法学院”栏目，摘录如下： 第一季：膜法学堂 第一季Merck Millipore Western膜法学堂将主要关注于蛋白质样品制备、转印、免疫检测和实验设计，Merck Millipore Western技术专家提供的具体课程安排如下： 1.    蛋白样品制备（1）保持数据的稳定性与可重现性：保证目标蛋白组分的一致性 2.    蛋白样品制备（2）保持数据的稳定性与可重现性：核酸污染的解决办法 3.    Western膜法学堂客座讲师：默克密理博快乐“膜术师”介绍 4.    蛋白样品制备（3）特殊细胞组分的蛋白样品制备（上） 5.    蛋白样品制备（4）特殊细胞组分的蛋白样品制备（下） 6.    蛋白样品制备（5）体液样本中高丰度蛋白的去除——提高biomarker蛋白检测效果的有效方法 7.    蛋白样品制备（6）当目标蛋白含量非常低时怎么办（上） 8.    蛋白样品制备（6）当目标蛋白含量非常低时怎么办（下） 9.    蛋白转印（1）如何选择正确的转印膜 10.  免疫检测（1）如何提高免疫检测信噪比——获得优质WB和ELISA数据的有效方法(上) 11.  免疫检测（2）如何提高免疫检测信噪比——获得优质WB和ELISA数据的有效方法（下） 12.  实验设计（1）蛋白磷酸化检测 此外，“膜”术师获奖者将不定期地给大家带来特别的Western经验分享。点击以上链接，查看Western膜法学堂的课程内容。 膜法学堂学业证书 有兴趣的老师和同学可以关注默克密理博中国博客，或者报名入班（点击此处），即可获得最新课程更新的邮件以及各种技术手册。此外，Western“膜法”学堂提供学业资格考试I，通过者（正确率60%以上）将获得合格证书（参考上图），优异者（正确率85%以上）不仅获得优秀学员证书，还能获赠精美小礼品一份。]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://img.ikeepu.com/img/10/39/28/634721679455885983.jpg" alt="" /></p>
<p>PRO MART是millipore公司为蛋白研究建立的蛋白研究工具超市网站，其资料库内有非常丰富的有关蛋白研究的资料，如Western Blot技术、蛋白基本操作技术、蛋白功能研究、蛋白质组研究、信号通路蛋白研究、重组蛋白表达等电子资料，均为PDF格式供下载使用。</p>
<p>此外还有一个特色“膜法学院”栏目，摘录如下：</p>
<h1>第一季：膜法学堂</h1>
<p align="center"><img src="http://www.merckmilliporechina.com/promart/images/WB1-1.gif" alt="" /></p>
<p>第一季Merck Millipore Western膜法学堂将主要关注于蛋白质样品制备、转印、免疫检测和实验设计，Merck Millipore Western技术专家提供的具体课程安排如下：</p>
<p>1.    <a href="http://blog.merckmilliporechina.com/entry/wb2.html" target="_blank">蛋白样品制备（1）保持数据的稳定性与可重现性：保证目标蛋白组分的一致性</a><br />
2.    <a href="http://blog.merckmilliporechina.com/entry/wb3.html" target="_blank">蛋白样品制备（2）保持数据的稳定性与可重现性：核酸污染的解决办法</a><br />
3.    <a href="http://blog.merckmilliporechina.com/entry/wb4.html" target="_blank">Western膜法学堂客座讲师：默克密理博快乐“膜术师”介绍</a><br />
4.    <a href="http://blog.merckmilliporechina.com/entry/wb5.html" target="_blank">蛋白样品制备（3）特殊细胞组分的蛋白样品制备（上）</a><br />
5.    <a href="http://blog.merckmilliporechina.com/entry/wb6.html" target="_blank">蛋白样品制备（4）特殊细胞组分的蛋白样品制备（下）</a><br />
6.    <a href="http://blog.merckmilliporechina.com/entry/wb7.html" target="_blank">蛋白样品制备（5）体液样本中高丰度蛋白的去除——提高biomarker蛋白检测效果的有效方法</a><br />
7.    <a href="http://blog.merckmilliporechina.com/entry/wb8.html" target="_blank">蛋白样品制备（6）当目标蛋白含量非常低时怎么办（上）</a><br />
8.    <a href="http://blog.merckmilliporechina.com/entry/wb9.html" target="_blank">蛋白样品制备（6）当目标蛋白含量非常低时怎么办（下）</a><br />
9.    <a href="http://blog.merckmilliporechina.com/entry/wb13.html" target="_blank">蛋白转印（1）如何选择正确的转印膜</a><br />
10.  <a href="http://blog.merckmilliporechina.com/entry/wb14.html" target="_blank">免疫检测（1）如何提高免疫检测信噪比——获得优质WB和ELISA数据的有效方法(上)</a><br />
11.  <a href="http://blog.merckmilliporechina.com/entry/wb12.html" target="_blank">免疫检测（2）如何提高免疫检测信噪比——获得优质WB和ELISA数据的有效方法（下）</a><br />
12.  <a href="http://blog.merckmilliporechina.com/entry/wb15.html" target="_blank">实验设计（1）蛋白磷酸化检测</a></p>
<p>此外，“膜”术师获奖者将不定期地给大家带来特别的Western经验分享。点击以上链接，查看<a href="http://blog.merckmilliporechina.com/entry/wb1.html" target="_blank">Western膜法学堂</a>的课程内容。</p>
<p align="center"><img src="http://www.merckmilliporechina.com/promart/images/WB1-2.gif" alt="" /><br />
膜法学堂学业证书</p>
<p>有兴趣的老师和同学可以关注<a href="http://blog.merckmilliporechina.com/entry/wb1.html" target="_blank">默克密理博中国博客</a>，或者报名入班（<a href="https://millipore.wufoo.com/forms/western-ee/" target="_blank">点击此处</a>），即可获得最新课程更新的邮件以及各种技术手册。此外，Western“膜法”学堂提供<a href="https://millipore.wufoo.com/forms/western-eee/" target="_blank">学业资格考试I</a>，通过者（正确率60%以上）将获得合格证书（参考上图），优异者（正确率85%以上）不仅获得优秀学员证书，还能获赠精美小礼品一份。</p>
]]></content:encoded>
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		<title>小技巧之如何选择无菌室专业无尘布</title>
		<link>http://www.91bio.com/tips-how-to-choose-the-sterile-room-professional-clean-cloth/</link>
		<comments>http://www.91bio.com/tips-how-to-choose-the-sterile-room-professional-clean-cloth/#comments</comments>
		<pubDate>Tue, 08 May 2012 06:27:47 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[无尘布]]></category>
		<category><![CDATA[生物技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646158</guid>
		<description><![CDATA[在制药企业内的GMP生产厂房或者实验室内，其清洁卫生需要使用专用的无尘布（擦拭布），如何选用合乎规范的无尘布？选择无尘布的要点有什么？找生物根据网络资源整理如下： 布种选择： 1.码重:同种布料码重是否相同 2.纱的种类及品质:超细纤维最高级、棉布次之、Polyester较差 3.柔软度:越柔软越佳 4.抗磨损度:越强越不掉纱屑 5.布面组织结构显微镜放大图片至少100倍 才可看清布表面组织 封边方式： 1.激光切割:最佳,且技术最高 2.超音波或压边:次之 3.冷裁、热裁:较差 品质检测：是否具认证单位检验报告? 1.离子含量:需低于参考值请参考S.G.S报告 2.吸水性:越高越好 3.擦拭性:越强越好 4.落尘量:越低越好 认证单位：是否具公信力之认证单位? 如(SGS) 产品等级：Class1~1,000价格不同 包装方式： 1.数量:每包或每箱数量 2.散装:价格较叠装低 3.叠装:价格较散装高 4.无尘双层真空包装:Class1~100需有双层包装 清洗方式： 1.是否在Class10以上之无尘室清洗? 2是否以18MegaΩ超纯水清洗?(以无杂质不导电超纯水才可将无尘布确实洗净) 尺寸：是否可提供各种不同尺寸产品? 用对尺寸才可节省成本,不必迁就厂商尺寸 交货期：是否能如期交货? 不须等船期,自行备用足够存货会增加成本 综合以上各项考量才是选购擦拭布之正确途径,对于您生产良品率的提升才有显著帮助。]]></description>
			<content:encoded><![CDATA[<p><img height="186" border="0" width="186" alt="产品图片" src="http://www.dgwsi.com/UploadFile/%E6%97%A0%E5%B0%98%E6%93%A6%E6%8B%AD%E5%B8%83.jpg"/></p>
<p>在制药企业内的GMP生产厂房或者实验室内，其清洁卫生需要使用专用的无尘布（擦拭布），如何选用合乎规范的无尘布？选择无尘布的要点有什么？找生物根据网络资源整理如下：</p>
<p>布种选择：<br />
1.码重:同种布料码重是否相同<br />
2.纱的种类及品质:超细纤维最高级、棉布次之、Polyester较差 <br />
3.柔软度:越柔软越佳<br />
4.抗磨损度:越强越不掉纱屑<br />
5.布面组织结构显微镜放大图片至少100倍 才可看清布表面组织<br />
封边方式：<br />
1.激光切割:最佳,且技术最高<br />
2.超音波或压边:次之<br />
3.冷裁、热裁:较差<br />
品质检测：是否具认证单位检验报告?<br />
1.离子含量:需低于参考值请参考S.G.S报告<br />
2.吸水性:越高越好<br />
3.擦拭性:越强越好<br />
4.落尘量:越低越好<br />
认证单位：是否具公信力之认证单位? 如(SGS)<br />
产品等级：Class1~1,000价格不同<br />
包装方式：<br />
1.数量:每包或每箱数量<br />
2.散装:价格较叠装低<br />
3.叠装:价格较散装高<br />
4.无尘双层真空包装:Class1~100需有双层包装<br />
清洗方式：<br />
1.是否在Class10以上之无尘室清洗?<br />
2是否以18MegaΩ超纯水清洗?(以无杂质不导电超纯水才可将无尘布确实洗净)<br />
尺寸：是否可提供各种不同尺寸产品?<br />
用对尺寸才可节省成本,不必迁就厂商尺寸<br />
交货期：是否能如期交货?<br />
不须等船期,自行备用足够存货会增加成本<br />
综合以上各项考量才是选购擦拭布之正确途径,对于您生产良品率的提升才有显著帮助。</p>
]]></content:encoded>
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		<item>
		<title>数据分析软件Origin Pro 破解版</title>
		<link>http://www.91bio.com/data-analysis-software-origin-pro-cracked-version/</link>
		<comments>http://www.91bio.com/data-analysis-software-origin-pro-cracked-version/#comments</comments>
		<pubDate>Mon, 07 May 2012 23:31:56 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[origin]]></category>
		<category><![CDATA[生物统计]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646144</guid>
		<description><![CDATA[Origin软件是OriginLab公司研发出的专业绘图和数据分析软件来 提供研究人员、工程师和科学人员使用。Origin的设计是以容易使用但却多功能且功能强大来满足广大的客户群的需求。Origin整合了C语言的程序计 式功能可供用户自行开发客制化的绘图和分析工具。物理,化学,生物,地理,天文,医学等多科学应用! 下载：]]></description>
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" alt="" width="520" height="322" /></p>
<p>Origin软件是OriginLab公司研发出的专业绘图和数据分析软件来 提供研究人员、工程师和科学人员使用。Origin的设计是以容易使用但却多功能且功能强大来满足广大的客户群的需求。Origin整合了C语言的程序计 式功能可供用户自行开发客制化的绘图和分析工具。物理,化学,生物,地理,天文,医学等多科学应用!</p>
<p><strong>下载：</strong></p>
<a href='http://dl.dbank.com/c02qj1ksfb' target='_blank' class='small-button smallblue'><span>8.0破解版华为网盘下载</span></a><div class="clear"></div>
<a href='http://dl.dbank.com/c0wqcv5mku' target='_blank' class='small-button smallblue'><span>8.0绿色版华为网盘下载</span></a><div class="clear"></div>
<a href='http://115.com/file/anwndtf1#' target='_blank' class='small-button smallblue'><span>OriginV8.6(32Bit)破解版</span></a><div class="clear"></div>
<a href='http://115.com/file/cl3tm0mm#' target='_blank' class='small-button smallblue'><span>8.5绿色版</span></a><div class="clear"></div>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/data-analysis-software-origin-pro-cracked-version/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>生物也搞DIY，您的创意够不？</title>
		<link>http://www.91bio.com/the-bio-also-engage-in-diy-your-creativity-is-not-enough/</link>
		<comments>http://www.91bio.com/the-bio-also-engage-in-diy-your-creativity-is-not-enough/#comments</comments>
		<pubDate>Mon, 07 May 2012 07:55:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[DIY]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646151</guid>
		<description><![CDATA[&#160; 自己动手：26岁的卡瑟尔·加维（Cathal Garvey)，在他母亲的备用卧室中建立了一个生物实验室。 卡瑟尔·加维家在爱尔兰柯克郡（County Cork, Ireland）有一栋住宅。在其中的一间备用卧室里，他重复做着的工作给生物技术时代带来了曙光。他培养细菌，加入DNA，观察情况。 “细菌转化曾经是一件大事，一个新方法，”他说。“如今，你可以借助泻盐和非处方泻药来完成。 加维现年26岁，两年前从一个大型癌症实验室的博士项目中退学。然而，他并未放弃科学研究，反而单枪匹马干了起来。他花了4000美元在父母的房子 里搭起了实验室。作为“自己动手”生物学运动的一员，加维从业余电脑早期经历中得到了灵感，当时就是车库里的技工们催生了苹果和其他PC行业公司。现在的 观念是，任何人&#8212;不只是拥有大笔预算的学术实验室或大型企业&#8211;都应该能够进行生物技术方面的工作。 加维在博士在读期间尝试了他的第一个“家中实验”：从购自黄柏鱼贩的鱿鱼中提取淡蓝色发光细菌。这是一个初级实验，但他说，他立刻意识到他需要做出选择：“我是该完成学业，好在名字后加上几个字母呢，还是该抓住时机，做一些该做的事情？” 他说，他的目标是证明，生物研究也可以以开源的方式进行，而且只需很少的经费。他使用回收罐代替烧杯。消毒器是用高压锅和加热板组装的。他把土豆煮成淀粉糊来做细菌培养。“在大学里，你会被训练到认为这些都太贵太困难，无法自己完成，”他说。 DIY生物学是设计上更宽广的趋势的一部分，这种趋势有时也被称为制造者文化：人们正在使用3-D印刷服务，或便宜的定制电子电路来开发小工具、产品，或车辆的原型。现在，业余爱好者都能把火箭送入太空，还有什么能阻止他们在厨房对生命形态进行基因改造？ 几个DIY的生物学家已经开始制作廉价的设备，让更多的人可以参与。辅助因子（CoFactor）是加州的一家公司，现在出售一款名为 OpenPCR的DNA复制机，价格为599美元。而加维也在通过3-D印刷公司Shapeways来出售他设计的一个塑料试管架。当连接到一个家用钻头 上时，这个50美元的架子就变成了一台快速旋转的离心机。在旧金山附近，现在有一个名为“生物求知”（BioCurious）的实验室 ，占地2400平方英尺，社区成员可以在这里测试他们的分子生物学技术水平。 哈佛医学院的遗传学教授乔治·丘奇（George Church），是推动生物学DIY运动的先驱。他认为这种趋势不能被忽视的原因之一是，合成和解码DNA分子的成本下降速度是计算能力成本下降速度的五倍。这使得这一趋势“非常值得关注”。 一些有可能成为车库里的生物学家的人们已经碰到了障碍。西雅图的一个DIY生物团队于9月在酒吧聚会后，决定关闭，因为它缺乏明确的目标。其他没有资金和活动场地的本地团队也遭遇了类似的命运。 &#160; 拼装仪器： 卡瑟尔·加维用咖啡罐和加热枪自己拼装了一个热循环仪，耗资不到80美元。它被用来复制DNA分子。许多商用热循环仪价格超过1000美元。 来源：迪尔德丽·布伦南/卡瑟尔·加维 &#160; 不是所有人都像丘奇团队一样被生物DIY运动所鼓舞。“我有点怀疑这一切最终要如何收场，”戴克兰·索登（Declan Soden）说。他是柯克癌症研究中心（Cork Cancer Research Centre）的生物学家，加维曾在他的实验室学习。索登的实验室每年的预算是300万美元，他说：“如果你正试图利用分子生物学手段开发癌症疗法，所需 的时间、精力和资源的数量是相当可观的，监管约束也紧得多。我觉得这不是DIY爱好者们能负担的起的”。 另一个担心之处是，这些爱好者们会将细菌冲入家中的下水道，甚至造出危险的细菌。索登认为加维是一个“非常非常聪明”的学生，但是过于急躁，难以在一个大型的学术实验室工作。“我的担心是，你的所作所为正在改变细菌，并可能对公众造成风险，”他说。 即便如此，一些未来学家认为，平民生物学有朝一日会对工业生物技术构成威胁，就像开源软件对商业产品形成挑战一样。2007年，弗里曼·戴森 （Freeman Dyson）预测，生物技术界的领导权终将从孟山都（Monsanto）这样的大公司转移到厨房实验室中，变得“小而家庭化，而不是大而集中”。 Autodesk公司，是把这种DIY的趋势视作商业机会的公司之一。这家软件制造商主要向工程师和建筑师销售高效的设计软件。它最近已开始赞助高 校基因工程比赛，并且正在开发软件，用于帮助生物学家重新组合细菌的基因，以生产燃料或药物。Autodesk公司的首席技术官杰夫​​·科瓦尔斯基 （Jeff Kowalski）说，“我们这代人期望改造世界，并期望物质世界有所回应”。“生物学将成为其中的一部分。虽然我也认为人类还没有完全掌握其中的科学道 理，但它正在迅速商业化。” 在支付了325美元的牌照费后，加维于去年七月获得了爱尔兰环境保护局（Ireland&#8217;s Environmental Protection Agency）的批准，可以在他母亲家里培养转基因微生物。他的实验室评价为“1级”，因此他只能使用对公众或环境仅构成“微不足道”风险的细菌。 加维目前的目标是开发一套适合业余生物学家对细菌进行基因修改的系统。大学实验室里常用的大肠杆菌用起来不是那么容易。它气味难闻、需要昂贵的培养 基，并且名声很差，因为这种细菌会造成毒性的胃部感染。因此，加维正试图使用一种常见的土壤细菌，枯草芽孢杆菌（B. subtilis），作为一个开源生物学的标准。“枯草芽孢杆菌的名声还是白纸一张，”他说。 加维用电脑设计了一个含3200个DNA字符的环状DNA分子，花了1300美元让一家得克萨斯州的合同实验室合成并邮寄给他。这是一个叫做“质 粒”的微型染色体，枯草芽孢杆菌能够吸收这种分子。当要使细菌获得新特性时（例如荧光，或人行道上的雨水气味），只需将所需DNA拼接到质粒上即可。 加维给他构建的分子起名为“独立生物技术骨架1.0”，他计划将其出售给其他的生物黑客们。他也承认，“现在我们有了一些工具，最难的问题是，用它 做什么”。对他自己来说，他想把草进行重设计来制造柴油燃料&#8212;就是那种可以种在外面，任其生长的东西。他说：“我的梦想，是设计生命，进行各种尝试， 并且失败没有任何代价。” 原文链接：http://www.mittrchinese.com/single.php?p=176070]]></description>
			<content:encoded><![CDATA[<p>&nbsp;</p>
<div><a href="http://www.mittrchinese.com/newsUploadImg/2012/02/13297995591904.jpg"><img title="deirdre_x616" src="http://www.mittrchinese.com/newsUploadImg/2012/02/13297995591904.jpg" alt="" width="616" height="409" /></a></p>
<div>自己动手：26岁的卡瑟尔·加维（Cathal Garvey)，在他母亲的备用卧室中建立了一个生物实验室。 <strong></strong></div>
</div>
<p>卡瑟尔·加维家在爱尔兰柯克郡（County Cork, Ireland）有一栋住宅。在其中的一间备用卧室里，他重复做着的工作给生物技术时代带来了曙光。他培养细菌，加入DNA，观察情况。</p>
<p>“细菌转化曾经是一件大事，一个新方法，”他说。“如今，你可以借助泻盐和非处方泻药来完成。</p>
<p>加维现年26岁，两年前从一个大型癌症实验室的博士项目中退学。然而，他并未放弃科学研究，反而单枪匹马干了起来。他花了4000美元在父母的房子 里搭起了实验室。作为“自己动手”生物学运动的一员，加维从业余电脑早期经历中得到了灵感，当时就是车库里的技工们催生了苹果和其他PC行业公司。现在的 观念是，任何人&#8212;不只是拥有大笔预算的学术实验室或大型企业&#8211;都应该能够进行生物技术方面的工作。</p>
<p>加维在博士在读期间尝试了他的第一个“家中实验”：从购自黄柏鱼贩的鱿鱼中提取淡蓝色发光细菌。这是一个初级实验，但他说，他立刻意识到他需要做出选择：“我是该完成学业，好在名字后加上几个字母呢，还是该抓住时机，做一些该做的事情？”</p>
<p>他说，他的目标是证明，生物研究也可以以开源的方式进行，而且只需很少的经费。他使用回收罐代替烧杯。消毒器是用高压锅和加热板组装的。他把土豆煮成淀粉糊来做细菌培养。“在大学里，你会被训练到认为这些都太贵太困难，无法自己完成，”他说。</p>
<p>DIY生物学是设计上更宽广的趋势的一部分，这种趋势有时也被称为制造者文化：人们正在使用3-D印刷服务，或便宜的定制电子电路来开发小工具、产品，或车辆的原型。现在，业余爱好者都能把火箭送入太空，还有什么能阻止他们在厨房对生命形态进行基因改造？</p>
<p>几个DIY的生物学家已经开始制作廉价的设备，让更多的人可以参与。辅助因子（CoFactor）是加州的一家公司，现在出售一款名为 OpenPCR的DNA复制机，价格为599美元。而加维也在通过3-D印刷公司Shapeways来出售他设计的一个塑料试管架。当连接到一个家用钻头 上时，这个50美元的架子就变成了一台快速旋转的离心机。在旧金山附近，现在有一个名为“生物求知”（BioCurious）的实验室 ，占地2400平方英尺，社区成员可以在这里测试他们的分子生物学技术水平。</p>
<p>哈佛医学院的遗传学教授乔治·丘奇（George Church），是推动生物学DIY运动的先驱。他认为这种趋势不能被忽视的原因之一是，合成和解码DNA分子的成本下降速度是计算能力成本下降速度的五倍。这使得这一趋势“非常值得关注”。</p>
<p>一些有可能成为车库里的生物学家的人们已经碰到了障碍。西雅图的一个DIY生物团队于9月在酒吧聚会后，决定关闭，因为它缺乏明确的目标。其他没有资金和活动场地的本地团队也遭遇了类似的命运。</p>
<p>&nbsp;</p>
<div><a href="http://www.mittrchinese.com/newsUploadImg/2012/02/13297996271315.jpg"><img title="deirdre_coffee_annotated_x616" src="http://www.mittrchinese.com/newsUploadImg/2012/02/13297996271315.jpg" alt="" width="616" height="409" /></a></p>
<div>拼装仪器： 卡瑟尔·加维用咖啡罐和加热枪自己拼装了一个热循环仪，耗资不到80美元。它被用来复制DNA分子。许多商用热循环仪价格超过1000美元。<br />
<strong>来源：</strong>迪尔德丽·布伦南/卡瑟尔·加维</div>
</div>
<p>&nbsp;</p>
<p>不是所有人都像丘奇团队一样被生物DIY运动所鼓舞。“我有点怀疑这一切最终要如何收场，”戴克兰·索登（Declan Soden）说。他是柯克癌症研究中心（Cork Cancer Research Centre）的生物学家，加维曾在他的实验室学习。索登的实验室每年的预算是300万美元，他说：“如果你正试图利用分子生物学手段开发癌症疗法，所需 的时间、精力和资源的数量是相当可观的，监管约束也紧得多。我觉得这不是DIY爱好者们能负担的起的”。</p>
<p>另一个担心之处是，这些爱好者们会将细菌冲入家中的下水道，甚至造出危险的细菌。索登认为加维是一个“非常非常聪明”的学生，但是过于急躁，难以在一个大型的学术实验室工作。“我的担心是，你的所作所为正在改变细菌，并可能对公众造成风险，”他说。</p>
<p>即便如此，一些未来学家认为，平民生物学有朝一日会对工业生物技术构成威胁，就像开源软件对商业产品形成挑战一样。2007年，弗里曼·戴森 （Freeman Dyson）预测，生物技术界的领导权终将从孟山都（Monsanto）这样的大公司转移到厨房实验室中，变得“小而家庭化，而不是大而集中”。</p>
<p>Autodesk公司，是把这种DIY的趋势视作商业机会的公司之一。这家软件制造商主要向工程师和建筑师销售高效的设计软件。它最近已开始赞助高 校基因工程比赛，并且正在开发软件，用于帮助生物学家重新组合细菌的基因，以生产燃料或药物。Autodesk公司的首席技术官杰夫​​·科瓦尔斯基 （Jeff Kowalski）说，“我们这代人期望改造世界，并期望物质世界有所回应”。“生物学将成为其中的一部分。虽然我也认为人类还没有完全掌握其中的科学道 理，但它正在迅速商业化。”</p>
<p>在支付了325美元的牌照费后，加维于去年七月获得了爱尔兰环境保护局（Ireland&#8217;s Environmental Protection Agency）的批准，可以在他母亲家里培养转基因微生物。他的实验室评价为“1级”，因此他只能使用对公众或环境仅构成“微不足道”风险的细菌。</p>
<p>加维目前的目标是开发一套适合业余生物学家对细菌进行基因修改的系统。大学实验室里常用的大肠杆菌用起来不是那么容易。它气味难闻、需要昂贵的培养 基，并且名声很差，因为这种细菌会造成毒性的胃部感染。因此，加维正试图使用一种常见的土壤细菌，枯草芽孢杆菌（B. subtilis），作为一个开源生物学的标准。“枯草芽孢杆菌的名声还是白纸一张，”他说。</p>
<p>加维用电脑设计了一个含3200个DNA字符的环状DNA分子，花了1300美元让一家得克萨斯州的合同实验室合成并邮寄给他。这是一个叫做“质 粒”的微型染色体，枯草芽孢杆菌能够吸收这种分子。当要使细菌获得新特性时（例如荧光，或人行道上的雨水气味），只需将所需DNA拼接到质粒上即可。</p>
<p>加维给他构建的分子起名为“独立生物技术骨架1.0”，他计划将其出售给其他的生物黑客们。他也承认，“现在我们有了一些工具，最难的问题是，用它 做什么”。对他自己来说，他想把草进行重设计来制造柴油燃料&#8212;就是那种可以种在外面，任其生长的东西。他说：“我的梦想，是设计生命，进行各种尝试， 并且失败没有任何代价。”</p>
<p>原文链接：http://www.mittrchinese.com/single.php?p=176070</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/the-bio-also-engage-in-diy-your-creativity-is-not-enough/feed/</wfw:commentRss>
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		</item>
		<item>
		<title>序列分析软件DNAstar破解版</title>
		<link>http://www.91bio.com/sequence-analysis-software-dnastar-cracked-version/</link>
		<comments>http://www.91bio.com/sequence-analysis-software-dnastar-cracked-version/#comments</comments>
		<pubDate>Sun, 06 May 2012 23:24:54 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[DNAStar]]></category>
		<category><![CDATA[序列分析]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646140</guid>
		<description><![CDATA[综合性序列分析软件，由7个子程序组成，囊括分子生物学领域大多数内容。 SeqBuilder &#8211; 可视化和序列编辑 SeqMan Pro &#8211; 序列集结和SNP发现 MegAlign &#8211; 序列组合 PrimerSelect &#8211; oligo primer 设计 Protean &#8211; 蛋白质结构分析和预测 GeneQuest &#8211; 基因查找 EditSeq &#8211; 导入特殊文件工具 下载：]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.91bio.com/wp-content/uploads/2012/05/1287965_1323581032_589.jpg"><img class="aligncenter size-full wp-image-646142" title="1287965_1323581032_589" src="http://www.91bio.com/wp-content/uploads/2012/05/1287965_1323581032_589.jpg" alt="" width="653" height="468" /></a></p>
<p>综合性序列分析软件，由7个子程序组成，囊括分子生物学领域大多数内容。</p>
<p>SeqBuilder &#8211; 可视化和序列编辑<br />
SeqMan Pro &#8211; 序列集结和SNP发现<br />
MegAlign &#8211; 序列组合<br />
PrimerSelect &#8211; oligo primer 设计<br />
Protean &#8211; 蛋白质结构分析和预测<br />
GeneQuest &#8211; 基因查找<br />
EditSeq &#8211; 导入特殊文件工具</p>
<p><strong>下载：</strong></p>
<a href='http://www.lmbe.seu.edu.cn/SARS/virus_research/dnastar.rar' target='_blank' class='small-button smallblue'><span>软件下载</span></a><div class="clear"></div>
<a href='http://www.lmbe.seu.edu.cn/SARS/virus_research/DNAstar_manual.pdf' target='_blank' class='small-button smallblue'><span>中文教程</span></a><div class="clear"></div>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>引物设计软件NoePrimer</title>
		<link>http://www.91bio.com/primer-design-software-noeprimer/</link>
		<comments>http://www.91bio.com/primer-design-software-noeprimer/#comments</comments>
		<pubDate>Sun, 06 May 2012 05:12:08 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[引物设计]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646138</guid>
		<description><![CDATA[NoePrimer独特的引物设计软件，为引物设计提供了简单的，直观的图形化的模版和引物序列展示，可以进行常规PCR引物，杂交探针，测序引物以及多重PCR引物的设计NoePrimer是独特的引物设计软件，它可以把繁杂的引物设计过程简单化，满足您复杂而专业的设计需要。 NoePrimer的与众不同之处在于:界面清晰、方便友好且拥有丰富的序列信息。易学易用。只需要简单的按几个按钮或自动搜索就可以设计您需要的引物。 下载： &#160; &#160; &#160;]]></description>
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" alt="" /></p>
<p>NoePrimer独特的引物设计软件，为引物设计提供了简单的，直观的图形化的模版和引物序列展示，可以进行常规PCR引物，杂交探针，测序引物以及多重PCR引物的设计NoePrimer是独特的引物设计软件，它可以把繁杂的引物设计过程简单化，满足您复杂而专业的设计需要。</p>
<p>NoePrimer的与众不同之处在于:界面清晰、方便友好且拥有丰富的序列信息。易学易用。只需要简单的按几个按钮或自动搜索就可以设计您需要的引物。</p>
<p><strong>下载：</strong></p>
<a href='http://www.kuaipan.cn/file/id_2321489953030204.html' target='_blank' class='small-button smallred'><span>网盘快速下载</span></a><div class="clear"></div>
<a href='http://www.noegen.com/en/download.php?cid=18' target='_blank' class='small-button smallblue'><span>下载地址1</span></a><div class="clear"></div>
<a href='http://www.seekbio.com/DownloadShow.asp?id=2145' target='_blank' class='small-button smallblue'><span>下载地址2</span></a><div class="clear"></div>
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<p>&nbsp;</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/primer-design-software-noeprimer/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《蛋白质质谱与序列分析软件》(GPMAW v8.0)</title>
		<link>http://www.91bio.com/protein-mass-spectrometry-and-sequence-analysis-software-gpmaw-v8-0/</link>
		<comments>http://www.91bio.com/protein-mass-spectrometry-and-sequence-analysis-software-gpmaw-v8-0/#comments</comments>
		<pubDate>Sat, 05 May 2012 23:21:23 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[生物软件]]></category>
		<category><![CDATA[蛋白质]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646135</guid>
		<description><![CDATA[简介： GPMAW是General Protein/Mass Analysis for Windows的缩写，蛋白质质谱与序列分析软件。主要用于蛋白与多肽的质谱分析，也具有其他蛋白序列分析功能，如比对、二级结构分析等等。 下载： ed2k: [蛋白质质谱与序列分析软件].TLF-SOFT-GPMAW.v8.0-iDKiSO.iso ed2k: [蛋白质质谱与序列分析软件].TLF-SOFT-GPMAW.v8.0-iDKiSO.nfo]]></description>
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" alt="" width="552" height="312" /></p>
<p><strong>简介：</strong></p>
<p>GPMAW是General Protein/Mass Analysis for Windows的缩写，蛋白质质谱与序列分析软件。主要用于蛋白与多肽的质谱分析，也具有其他蛋白序列分析功能，如比对、二级结构分析等等。</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E8%9B%8B%E7%99%BD%E8%B4%A8%E8%B4%A8%E8%B0%B1%E4%B8%8E%E5%BA%8F%E5%88%97%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6%5D.TLF-SOFT-GPMAW.v8.0-iDKiSO.iso|497616896|2b40c7efc94c9148bb038f81ba79eeda|h=yxa7csfxg6r6tgnjd7c67upxwgqoqnmz|/">[蛋白质质谱与序列分析软件].TLF-SOFT-GPMAW.v8.0-iDKiSO.iso</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E8%9B%8B%E7%99%BD%E8%B4%A8%E8%B4%A8%E8%B0%B1%E4%B8%8E%E5%BA%8F%E5%88%97%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6%5D.TLF-SOFT-GPMAW.v8.0-iDKiSO.nfo|1476|a54317d9f7108421a24df04c601d5e42|h=yyqtoh5zdxu23uumv3t2thzp3kscmnfh|/">[蛋白质质谱与序列分析软件].TLF-SOFT-GPMAW.v8.0-iDKiSO.nfo</a></span><br />
</p></p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/protein-mass-spectrometry-and-sequence-analysis-software-gpmaw-v8-0/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《流式细胞分析软件 FlowJo》(FlowJo)v7.6.x</title>
		<link>http://www.91bio.com/flow-cytometry-analysis-software-flowjo-flowjo-v7-6-x/</link>
		<comments>http://www.91bio.com/flow-cytometry-analysis-software-flowjo-flowjo-v7-6-x/#comments</comments>
		<pubDate>Fri, 04 May 2012 23:18:58 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[生物软件]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646133</guid>
		<description><![CDATA[说明： 这个资源是完美破解，其他的资源能运行但是不能分析自己的数据。 这个资源可以分析自己的数据，破解完全。 下载： ed2k: [流式细胞分析软件.FlowJo].Flowjo.7.6.1.Min.exe ed2k: [流式细胞分析软件.FlowJo].Flowjo.7.6.2.exe]]></description>
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" alt="" /></p>
<p><strong>说明：</strong><br />
这个资源是完美破解，其他的资源能运行但是不能分析自己的数据。<br />
这个资源可以分析自己的数据，破解完全。</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E6%B5%81%E5%BC%8F%E7%BB%86%E8%83%9E%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6.FlowJo%5D.Flowjo.7.6.1.Min.exe|52994027|169e6ec577b504b6bdd17e3c5231f62a|h=ozxhhwnjnet7dzw3ibygckr34rjix5yd|/">[流式细胞分析软件.FlowJo].Flowjo.7.6.1.Min.exe</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E6%B5%81%E5%BC%8F%E7%BB%86%E8%83%9E%E5%88%86%E6%9E%90%E8%BD%AF%E4%BB%B6.FlowJo%5D.Flowjo.7.6.2.exe|72203747|a74a2bdc5228f082c606482fc6526a5d|h=ez3otpymwvwm2afv3my6mrfv3srwk4p7|/">[流式细胞分析软件.FlowJo].Flowjo.7.6.2.exe</a></span><br />
</p></p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/flow-cytometry-analysis-software-flowjo-flowjo-v7-6-x/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>生物实验室趣闻20120504</title>
		<link>http://www.91bio.com/biological-laboratory-anecdotes-20120504/</link>
		<comments>http://www.91bio.com/biological-laboratory-anecdotes-20120504/#comments</comments>
		<pubDate>Fri, 04 May 2012 05:50:41 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>
		<category><![CDATA[生物趣闻]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646147</guid>
		<description><![CDATA[1  俺是学高分子滴，明天要交论文，想写生物医用方面的，于是就想查查定义，什么是生物医用高分子？&#8212;&#8212;&#8212;暴强回复是“硅胶！” 2  这天，几个平时比较熟的学妹和我讨论起他们要做的动物解剖实验，好吧我承认当时我脑子短路了，随口冒出一句：你们这次做鸡，下次做兔子…… 一说完立马觉得气氛僵了啊，都不知该怎么解释了，其实我只是想说你们今天解剖鸡…… 邪恶的学长你伤不起啊 3  一天我们生物老师给我们讲种群，她说：“种群是指可以自由交配并繁育的同种个体的集群，那你们说我们教室的同学是不是一个种群？”童鞋都很和谐的回答：“不是。”“为什么不是？”只听见后排一个阴暗的角落传来“因为不能自由交配…” 4  生物老师说为什么会来大姨妈，说卵子遇不到精子郁闷的直吐。 5 本人医学生，平时上生物实验课要用到显微镜。玩过的人都知道，做切片的时候，标本要染色了才能看的到。闲暇之际，一同学拔了另外一个同学的一根头发，放在显微镜下看，那同学恨恨地问他为什么不用自己的头发，那同学直接回了一句，“你的头发染了色，我的没染。”然后实验室里一阵爆笑。 6 生物课时老师跟我们讲他上大学时和同学去山上玩，抓了只黄鼠狼，很高兴啊（他以前就是生物专业），拿回去解剖，很激动，结果把臭气囊剪破了。。。。他们3天吃不下饭。。。。。老师回忆时表情相当扭曲，仿佛还沉浸在那股气体中。。。]]></description>
			<content:encoded><![CDATA[<p>1  俺是学高分子滴，明天要交论文，想写生物医用方面的，于是就想查查定义，什么是生物医用高分子？&#8212;&#8212;&#8212;暴强回复是“硅胶！”</p>
<p>2  这天，几个平时比较熟的学妹和我讨论起他们要做的动物解剖实验，好吧我承认当时我脑子短路了，随口冒出一句：你们这次做鸡，下次做兔子……<br />
一说完立马觉得气氛僵了啊，都不知该怎么解释了，其实我只是想说你们今天解剖鸡……<br />
邪恶的学长你伤不起啊</p>
<p>3  一天我们生物老师给我们讲种群，她说：“种群是指可以自由交配并繁育的同种个体的集群，那你们说我们教室的同学是不是一个种群？”童鞋都很和谐的回答：“不是。”“为什么不是？”只听见后排一个阴暗的角落传来“因为不能自由交配…”</p>
<p>4  生物老师说为什么会来大姨妈，说卵子遇不到精子郁闷的直吐。</p>
<p>5 本人医学生，平时上生物实验课要用到显微镜。玩过的人都知道，做切片的时候，标本要染色了才能看的到。闲暇之际，一同学拔了另外一个同学的一根头发，放在显微镜下看，那同学恨恨地问他为什么不用自己的头发，那同学直接回了一句，“你的头发染了色，我的没染。”然后实验室里一阵爆笑。</p>
<p>6 生物课时老师跟我们讲他上大学时和同学去山上玩，抓了只黄鼠狼，很高兴啊（他以前就是生物专业），拿回去解剖，很激动，结果把臭气囊剪破了。。。。他们3天吃不下饭。。。。。老师回忆时表情相当扭曲，仿佛还沉浸在那股气体中。。。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/biological-laboratory-anecdotes-20120504/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《生物化学分析工具》(Geneious Pro)</title>
		<link>http://www.91bio.com/biochemical-analysis-tools-geneious-pro/</link>
		<comments>http://www.91bio.com/biochemical-analysis-tools-geneious-pro/#comments</comments>
		<pubDate>Fri, 04 May 2012 01:14:49 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[Geneious Pro]]></category>
		<category><![CDATA[生物化学]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646130</guid>
		<description><![CDATA[Geneious 为所有分子的生物学家和的生物化学家而设计，分析复杂DNA及蛋白等生物资料的一个应用软件。 Geneious是一个功能全面的生物信息学分析工具，适用于分子生物学和生物化学等领域。它使用方便，可以用来对基因序列或蛋白质的三维结构信息进行分析，是分析复杂生物资料的最佳选择。 Geneious pro是基因组学和蛋白组学综合研究工具软件，该软件为分子生物学研究人员提供了蛋白、基因序列分析、显示、文献检索、序列比对、进化树分析、ORFs查找、引物设计等多种分析功能。且针对科研单位和学术部门有一个较为优惠的价格。 Geneious 是一个综合，跨平台的生物资讯软体,包括操纵，发现，分享，并探讨生物数据，例如脱氧核糖核酸或蛋白质序列，phylogenies，三维结构信息，自动 更新出版文献等，它的功能包括序列比对和phylogenetic分析，contig assembly，primers和restriction analysis，使用NCBI和EMBL, BLAST,蛋白质结构，自动化NCBI Pubmed搜索，和更多。它甚至包括API因此您可以创造您的生物资讯插件。 序列分析: * 共有序列，DNA与Protein转换和补充complement * 双序列与多重序列分析选择，包括Progressive 双序列并列分析及 alignment of nucleotide translation * 进化树建设与UPGMA，与NJ with bootstrapping 和 consensus trees * 方便用户插件MrBayes bayesian 贝氏分析 * 打印trees,演化分析研究 * Find motifs, open reading frames (ORFs) and 更多&#8230; 序列可视化: * 可定制的图形浏览器和序列编辑器，alignments和annotations说明 * 互动phylogenetic进化树查与快速选择源序列alignment * 图形的更新，实时其中包括序列标识，色谱痕迹和蛋白质性质 * 三维蛋白质结构观察 * Fast, [...]]]></description>
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" alt="" width="421" height="237" /></p>
<p>Geneious 为所有分子的生物学家和的生物化学家而设计，分析复杂DNA及蛋白等生物资料的一个应用软件。<br />
Geneious是一个功能全面的生物信息学分析工具，适用于分子生物学和生物化学等领域。它使用方便，可以用来对基因序列或蛋白质的三维结构信息进行分析，是分析复杂生物资料的最佳选择。<br />
Geneious pro是基因组学和蛋白组学综合研究工具软件，该软件为分子生物学研究人员提供了蛋白、基因序列分析、显示、文献检索、序列比对、进化树分析、ORFs查找、引物设计等多种分析功能。且针对科研单位和学术部门有一个较为优惠的价格。<br />
Geneious 是一个综合，跨平台的生物资讯软体,包括操纵，发现，分享，并探讨生物数据，例如脱氧核糖核酸或蛋白质序列，phylogenies，三维结构信息，自动 更新出版文献等，它的功能包括序列比对和phylogenetic分析，contig assembly，primers和restriction analysis，使用NCBI和EMBL, BLAST,蛋白质结构，自动化NCBI Pubmed搜索，和更多。它甚至包括API因此您可以创造您的生物资讯插件。</p>
<p>序列分析:</p>
<p>* 共有序列，DNA与Protein转换和补充complement<br />
* 双序列与多重序列分析选择，包括Progressive 双序列并列分析及 alignment of nucleotide translation<br />
* 进化树建设与UPGMA，与NJ with bootstrapping 和 consensus trees<br />
* 方便用户插件MrBayes bayesian 贝氏分析<br />
* 打印trees,演化分析研究<br />
* Find motifs, open reading frames (ORFs) and 更多&#8230;</p>
<p>序列可视化:</p>
<p>* 可定制的图形浏览器和序列编辑器，alignments和annotations说明<br />
* 互动phylogenetic进化树查与快速选择源序列alignment<br />
* 图形的更新，实时其中包括序列标识，色谱痕迹和蛋白质性质<br />
* 三维蛋白质结构观察<br />
* Fast, interactive dot plots and 更多&#8230;</p>
<p>实验室序列分析</p>
<p>* 自动整理Contig assembly，装配，色谱编辑<br />
* 限制酶<br />
* 设计引物与含糊和错配<br />
* Test individual primers or search a set of primers for the best matches 更多&#8230;</p>
<p>组织序列和出版文献数据库</p>
<p>* 在一处地方存储和组织您所有的科研材料，<br />
* 根据序列相似性搜索和排序，基本和先进的全文检索数据<br />
* 广泛的文件输入与输出，包括Endnote，Nexus，Newick,fasta，PDF,ABI,更多!！<br />
* 为序列sequences, alignments and trees加入您自己的定制的注释，更多&#8230;</p>
<p>下载蛋白质序列和基因序列:</p>
<p>* 从NCBI （包括基因，基因组，核苷酸，单核苷酸多态性，结构和蛋白质)拖放序列<br />
* 与Pfam数据库紧密结合<br />
* 保持您的NCBI和EMBL下载自动更新<br />
* NCBI BLAST序列<br />
* 公共数据下载迅速过滤，更多&#8230;</p>
<p>生物资讯教学</p>
<p>* 利用Geneious创造互动教程与直接联繫的材料<br />
* 只需一个按键就可以使用所有的生物资讯工具<br />
* 学生能回答问题，做分析，然后使用collaboration提交其结果更多&#8230;</p>
<p>PubMed搜索:</p>
<p>* 自动检索新近发表文章，可以根据您的兴趣自动给新发表文章分类<br />
* 存储的摘要和书目信息<br />
* Quick links to find original articles and citation record online. 更多&#8230;</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.4.Incl.Keymaker.And.Patch-iNViSiBLE.zip|34024156|01a96dfbcabcb318cbf8e93abf70af08|h=r256cgqgycl2ltj4romyurrslbouh2z7|/">[生物化学分析工具].Geneious.Pro.v4.8.4.Incl.Keymaker.And.Patch-iNViSiBLE.zip</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.4.Linux.x64.Incl.Keymaker.And.Patch-iNViSiBLE.zip|36552462|1e2f3ee17190e015c9f255dd22fc461d|h=3fagstcahlpetpla3cymm4widgi2ed4l|/">[生物化学分析工具].Geneious.Pro.v4.8.4.Linux.x64.Incl.Keymaker.And.Patch-iNViSiBLE.zip</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.4.x64.Incl.Keymaker.And.Patch-iNViSiBLE.zip|34828319|5eed63ad82fa0d7c598ed8a64e14ecde|h=stehmsynatux7z4zbja3bimxmx7qp2s4|/">[生物化学分析工具].Geneious.Pro.v4.8.4.x64.Incl.Keymaker.And.Patch-iNViSiBLE.zip</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.5.Incl.Keymaker.And.Patch-iNViSiBLE.rar|34337483|b649b4439f5b487c32c71929ffa95d7e|h=ukilrvw6wme6gpqix4ycpanv6dlbnuhf|/">[生物化学分析工具].Geneious.Pro.v4.8.5.Incl.Keymaker.And.Patch-iNViSiBLE.rar</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.5.x64.Incl.Keymaker.And.Patch-iNViSiBLE.rar|35237983|17c4f99fe20b213e79e38d44a4b5ebc2|h=7pzrayruknzwkoezguqi5kjd5cnxlwag|/">[生物化学分析工具].Geneious.Pro.v4.8.5.x64.Incl.Keymaker.And.Patch-iNViSiBLE.rar</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.5.Linux.Incl.Keymaker.And.Patch-iNViSiBLE.rar|38042584|747cae9f228ed001887eac30d713fd5c|h=4qmdmtp7j3z3sxgzqmiqlrdrjlrradke|/">[生物化学分析工具].Geneious.Pro.v4.8.5.Linux.Incl.Keymaker.And.Patch-iNViSiBLE.rar</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.5.Linux.x64.Incl.Keymaker.And.Patch-iNViSiBLE.rar|36987684|28fc919f844ed32c6fc3be8ffc68f04c|h=7sfvst3wia6k6fhma35q5dgu6mufkzzn|/">[生物化学分析工具].Geneious.Pro.v4.8.5.Linux.x64.Incl.Keymaker.And.Patch-iNViSiBLE.rar</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E5%88%86%E6%9E%90%E5%B7%A5%E5%85%B7%5D.Geneious.Pro.v4.8.5.MacOSX.Incl.Keymaker.And.Patch-iNViSiBLE.rar|38240690|50238d6d7c2e71751759fa88431448c0|h=ahqn2fme4se7kqyzf35zd5cnp6t6v5aq|/">[生物化学分析工具].Geneious.Pro.v4.8.5.MacOSX.Incl.Keymaker.And.Patch-iNViSiBLE.rar</a></span><br />
</p></p>
<div class='et-box et-warning'>
					<div class='et-box-content'>以上下载地址含有多操作系统，请认清后下载，下载速度或资源不稳定，请耐心等待！</div></div>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/biochemical-analysis-tools-geneious-pro/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《InsightII 生物分子模拟软件》</title>
		<link>http://www.91bio.com/the-insightii-biological-molecular-modeling-software/</link>
		<comments>http://www.91bio.com/the-insightii-biological-molecular-modeling-software/#comments</comments>
		<pubDate>Thu, 03 May 2012 01:05:40 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[分子模拟]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646126</guid>
		<description><![CDATA[简介： 最权威的生物分子模拟软件。帮助研究人员了解生物大分子的结构和功能。在蛋白质结构功能关系、生物大分子模拟与计算、基于靶点结构的药物设计、抗体设计、生物大分子核磁共振等领域有着广泛的应用。 Accelrys公司的InsightII三维图形环境软件包，集成了从生物分子结构功能研究到基于靶点药物设计的全套工具，是生物学家从事理论研究和 具体实验方案设计的助手。InsightII针对生命科学应用，提供生物分子及有机小分子建模和显示工具，功能分析工具，结构改造工具，动力学模拟工具 等，帮助研究人员在实验前全面了解生物分子的结构与功能，从而有针对性的设计实验方案，提高实验效率，降低科研成本。InsightII在揭示蛋白质结构 功能关系、生物分子结构模拟与动力学计算、基于靶点药物设计、抗体设计、酶工程、生物分子间的相互作用（包括蛋白质与蛋白质、蛋白质与肽、蛋白质与核酸、 蛋白质与有机小分子）、生物分子核磁共振、功能基因组以及蛋白质组等方面有着广泛的应用。 下载： ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR.nfo ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.bin ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.cue ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.bin ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.cue ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.bin ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.cue ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.bin ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.cue ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.bin ed2k: [InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.cue 使用教程：]]></description>
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alt="" width="365" height="251" /></p>
<p><strong>简介：</strong></p>
<p>最权威的生物分子模拟软件。帮助研究人员了解生物大分子的结构和功能。在蛋白质结构功能关系、生物大分子模拟与计算、基于靶点结构的药物设计、抗体设计、生物大分子核磁共振等领域有着广泛的应用。<br />
Accelrys公司的InsightII三维图形环境软件包，集成了从生物分子结构功能研究到基于靶点药物设计的全套工具，是生物学家从事理论研究和 具体实验方案设计的助手。InsightII针对生命科学应用，提供生物分子及有机小分子建模和显示工具，功能分析工具，结构改造工具，动力学模拟工具 等，帮助研究人员在实验前全面了解生物分子的结构与功能，从而有针对性的设计实验方案，提高实验效率，降低科研成本。InsightII在揭示蛋白质结构 功能关系、生物分子结构模拟与动力学计算、基于靶点药物设计、抗体设计、酶工程、生物分子间的相互作用（包括蛋白质与蛋白质、蛋白质与肽、蛋白质与核酸、 蛋白质与有机小分子）、生物分子核磁共振、功能基因组以及蛋白质组等方面有着广泛的应用。</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR.nfo|1344|a7382700bbb219a89eb8b1383c669f3e|h=imfivjlwc6lpdptpri3b6e7xhx2dzwah|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR.nfo</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.bin|788430384|3df821379a99e1b5b2727303a2e9b653|h=e2c7shjwqsn4czudfyjrv6d5bk2yxzmu|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.bin</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.cue|134|f8eae63842824a38f6eee273a2347ca8|h=d6zd4cbxqbdhb6ztvhnrzewp3xf3j5p4|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD1.cue</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.bin|185140032|8261f5b1f1b70712485c381c032add00|h=tkwtckw4vkl2pxjo2pslq5dvln2s245y|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.bin</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.cue|134|08599ddc1b39d1a04d84e874a53d51c0|h=2j5yqmevfyf5jyajhhampnj4ppnl4je4|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD2.cue</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.bin|76821024|7a0f3f7f5362294b49bfae90fbb241cb|h=7m2p575pr6wj5rx7elb7v2utuyxmixim|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.bin</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.cue|134|dcd4a56bd4678102f30c978edbba7061|h=46i37u4zsx75ybomhys2ckluvskcom6j|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD3.cue</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.bin|784130928|89b01c048e08136351a365c9024f6152|h=cgymx2zq63ddtmxrs3xcfvdmhld66hu3|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.bin</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.cue|134|a656d0a5d4f63bb7620d0e886d151a61|h=7y7ewu3apadow25vz7g2moyubwu3amfe|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD4.cue</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.bin|456125712|c094973dc73714facfc16049559c883d|h=ssknwo6u536f5omd27ofsvewxqilyc7k|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.bin</a></span><br />
<span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5BInsightII.%E7%94%9F%E7%89%A9%E5%88%86%E5%AD%90%E6%A8%A1%E6%8B%9F%E8%BD%AF%E4%BB%B6%5D.ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.cue|134|0b3cbbff7838fe4abc55b13c9236059b|h=sfjzw7jbqlqcmac2pf7y4ax34oc5agvi|/">[InsightII.生物分子模拟软件].ACCELRYS.INSIGHT.II.2005.LINUX.READ.NFO-QUASAR-CD5.cue</a></span><br />
</p></p>
<p><strong>使用教程：</strong></p>
<a href='http://ishare.iask.sina.com.cn/f/19478316.html' target='_blank' class='small-button smallblue'><span>使用教程下载</span></a><div class="clear"></div>
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		</item>
		<item>
		<title>《漫画分子生物学》[PDF]</title>
		<link>http://www.91bio.com/comic-molecular-biology-pdf/</link>
		<comments>http://www.91bio.com/comic-molecular-biology-pdf/#comments</comments>
		<pubDate>Thu, 03 May 2012 00:42:07 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[分子生物学]]></category>
		<category><![CDATA[生物书籍]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646109</guid>
		<description><![CDATA[简介： 你所了解的细胞、蛋白质和DNA是什么样子的呢？在这个微小的世界里却埋藏着生物体所有的秘密。《漫画分子生物学》是世界上最简单的分子生物学教科书，它通过漫画式的情景说明，让你边看故事边学知识，每读完一篇就能理解一个概念，每篇末还附有文字说明，只要阅读一下这些有趣的漫画故事，你将能在最短的时间内成为分子生物学方面的达人！ 有趣的故事情节、时尚的漫画人物造型、细致的内容讲解定能给你留下深刻的印象，让你看过忘不了。通过这种轻松的阅读学习，读者可以很容易地掌握分子生物学的常识。 下载： ed2k: [漫画分子生物学].（日）武村政春.著.扫描版.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/1d2626a027a67e25a838ddb2e148350090453(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>简介：</strong><br />
你所了解的细胞、蛋白质和DNA是什么样子的呢？在这个微小的世界里却埋藏着生物体所有的秘密。《漫画分子生物学》是世界上最简单的分子生物学教科书，它通过漫画式的情景说明，让你边看故事边学知识，每读完一篇就能理解一个概念，每篇末还附有文字说明，只要阅读一下这些有趣的漫画故事，你将能在最短的时间内成为分子生物学方面的达人！<br />
有趣的故事情节、时尚的漫画人物造型、细致的内容讲解定能给你留下深刻的印象，让你看过忘不了。通过这种轻松的阅读学习，读者可以很容易地掌握分子生物学的常识。</p>
<p>下载：</p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E6%BC%AB%E7%94%BB%E5%88%86%E5%AD%90%E7%94%9F%E7%89%A9%E5%AD%A6%5D.%EF%BC%88%E6%97%A5%EF%BC%89%E6%AD%A6%E6%9D%91%E6%94%BF%E6%98%A5.%E8%91%97.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|45830988|8a2caf8c1fd47714699a73c8e1432d4d|h=2zbu5hztf5eahqxjug4wbrucz57xf24x|/">[漫画分子生物学].（日）武村政春.著.扫描版.pdf</a></span><br />
</p></p>
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		</item>
		<item>
		<title>《生命科学导论》（第二版）[PDF]</title>
		<link>http://www.91bio.com/introduction-to-life-sciences-second-edition-pdf/</link>
		<comments>http://www.91bio.com/introduction-to-life-sciences-second-edition-pdf/#comments</comments>
		<pubDate>Thu, 03 May 2012 00:36:20 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[生命科学导论]]></category>
		<category><![CDATA[生物书籍]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646105</guid>
		<description><![CDATA[简介： 本书是普通高等教育“十一五”国家级规划教材，是1999年出版的《生命科学导论》(公共课)的第2版，供全国各类高校开设“生命科学导论”类公共课或通识课使用。教材一方面紧紧把握生命科学半个世纪来发展的主脉 ——从分子水平理解生命，向读者介绍生物体的分子组成和新陈代谢，生物遗传和生物信息转导的机制；另一方面，力求回归生命科学研究的初衷—— 理解生命，珍惜生命，探索生物技术的广泛应用，寻求生态环境的和谐发展。 下载： ed2k: [生命科学导论（第二版）].张惟杰.扫描版.pdf 相关书籍购买：]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/4eb300e955d5093ddd919e1be20c544026827(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>简介：</strong></p>
<p>本书是普通高等教育“十一五”国家级规划教材，是1999年出版的《生命科学导论》(公共课)的第2版，供全国各类高校开设“生命科学导论”类公共课或通识课使用。教材一方面紧紧把握生命科学半个世纪来发展的主脉 ——从分子水平理解生命，向读者介绍生物体的分子组成和新陈代谢，生物遗传和生物信息转导的机制；另一方面，力求回归生命科学研究的初衷—— 理解生命，珍惜生命，探索生物技术的广泛应用，寻求生态环境的和谐发展。</p>
<p>下载：</p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E5%91%BD%E7%A7%91%E5%AD%A6%E5%AF%BC%E8%AE%BA%EF%BC%88%E7%AC%AC%E4%BA%8C%E7%89%88%EF%BC%89%5D.%E5%BC%A0%E6%83%9F%E6%9D%B0.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|265895212|b487f1f170a0deb29bf17588063d713c|h=bz4rqbymnw6ej7agvw4ylklbvgmza3ei|/">[生命科学导论（第二版）].张惟杰.扫描版.pdf</a></span><br />
</p></p>
<p>相关书籍购买：<br />
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		</item>
		<item>
		<title>《肿瘤分子细胞生物学》[PDF]</title>
		<link>http://www.91bio.com/journal-of-molecular-cell-biology-pdf/</link>
		<comments>http://www.91bio.com/journal-of-molecular-cell-biology-pdf/#comments</comments>
		<pubDate>Wed, 02 May 2012 00:32:41 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[细胞生物学]]></category>
		<category><![CDATA[肿瘤]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646103</guid>
		<description><![CDATA[介绍： 本书是在第一版的基础上由编者精心修订而成。全书共分二十章，分别介绍了肿瘤的起源与演进、细胞分化与肿瘤、肿瘤生长的细胞生物学、肿瘤的侵袭与转移、血管生成与肿瘤、肿瘤的超微结构、肿瘤标记物、端粒和端粒酶与肿瘤、细胞凋亡与肿瘤、化学致癌因素及其致癌机制、物理性致癌因素及其致癌机制、病毒致癌因素及其致癌机制、免疫与肿瘤、激素与肿瘤、遗传与肿瘤、微卫星DNA与肿瘤、肿瘤基因及其调控机制、细胞周期与肿瘤、细胞信号转导与肿瘤和转基因动物技术及其在肿瘤研究中的应用等。内容丰富，取材新颖，反映了当前肿瘤基础理论研究的新成就、新进展。本书由教育部评选推荐作为研究生肿瘤基础理论教材，也可供病理学工作者、临床医师和医学生阅读参考。 下载： ed2k: [肿瘤分子细胞生物学].陈意生.史景泉.扫描版.pdf 相关书籍购买：]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/d1207dc63af8c5399be92ab66278684063012(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>介绍：</strong></p>
<p>本书是在第一版的基础上由编者精心修订而成。全书共分二十章，分别介绍了肿瘤的起源与演进、细胞分化与肿瘤、肿瘤生长的细胞生物学、肿瘤的侵袭与转移、血管生成与肿瘤、肿瘤的超微结构、肿瘤标记物、端粒和端粒酶与肿瘤、细胞凋亡与肿瘤、化学致癌因素及其致癌机制、物理性致癌因素及其致癌机制、病毒致癌因素及其致癌机制、免疫与肿瘤、激素与肿瘤、遗传与肿瘤、微卫星DNA与肿瘤、肿瘤基因及其调控机制、细胞周期与肿瘤、细胞信号转导与肿瘤和转基因动物技术及其在肿瘤研究中的应用等。内容丰富，取材新颖，反映了当前肿瘤基础理论研究的新成就、新进展。本书由教育部评选推荐作为研究生肿瘤基础理论教材，也可供病理学工作者、临床医师和医学生阅读参考。</p>
<p>下载：</p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E8%82%BF%E7%98%A4%E5%88%86%E5%AD%90%E7%BB%86%E8%83%9E%E7%94%9F%E7%89%A9%E5%AD%A6%5D.%E9%99%88%E6%84%8F%E7%94%9F.%E5%8F%B2%E6%99%AF%E6%B3%89.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|14656371|8ff98964985c97476d9da38e3af6d498|h=alvjqfrbgdj3tzajlb6dp5ge2i2xghzc|/">[肿瘤分子细胞生物学].陈意生.史景泉.扫描版.pdf</a></span><br />
</p></p>
<p>相关书籍购买：<br />
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		<title>《细胞生物学荧光技术原理和应用》[PDF]</title>
		<link>http://www.91bio.com/fluorescence-cell-biology-principles-and-applications-pdf/</link>
		<comments>http://www.91bio.com/fluorescence-cell-biology-principles-and-applications-pdf/#comments</comments>
		<pubDate>Tue, 01 May 2012 09:25:20 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[细胞生物学]]></category>
		<category><![CDATA[荧光技术]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646099</guid>
		<description><![CDATA[介绍： 随着生命科学研究的快速发展，生物荧光技术在细胞免疫学、微生物学、分子生物学、分子遗传学、神经分子生物学、病理学、肿瘤学、临床检验学、医学、植物学等方面的应用越来越广泛；制备各种荧光生物样品的方法越来越多；用于荧光检测的仪器种类不断增加，而且也越来越先进。荧光技术已经成为生命科学研究的重要手段之一。 本书共分三部分：第一部分介绍荧光的基本知识、发展史、荧光探针、活体荧光材料——绿色荧光蛋白(GFP)及最新型荧光材料——量子点；第二部分介绍荧光技术在生命科学中的应用及荧光生物样品的制备方法；第三部分介绍了中国科学技术大学生命科学学院现已拥有的生物荧光显微镜、激光共聚焦显微镜、细胞遗传工作站、活细胞荧光工作站、流式细胞仪、荧光定量PCR仪等荧光检测仪器的基本原理、操作步骤及注意事项。本书彩页中的大部分照片是使用我院拥有的上述各种荧光检测仪器获得的。 下载： ed2k: [细胞生物学荧光技术原理和应用].刘爱平.扫描版.pdf 请购买正版纸质书籍]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/cf9b0449539684e2fa0cadd2ea9daa9a424301(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>介绍：</strong></p>
<p>随着生命科学研究的快速发展，生物荧光技术在细胞免疫学、微生物学、分子生物学、分子遗传学、神经分子生物学、病理学、肿瘤学、临床检验学、医学、植物学等方面的应用越来越广泛；制备各种荧光生物样品的方法越来越多；用于荧光检测的仪器种类不断增加，而且也越来越先进。荧光技术已经成为生命科学研究的重要手段之一。</p>
<p>本书共分三部分：第一部分介绍荧光的基本知识、发展史、荧光探针、活体荧光材料——绿色荧光蛋白(GFP)及最新型荧光材料——量子点；第二部分介绍荧光技术在生命科学中的应用及荧光生物样品的制备方法；第三部分介绍了中国科学技术大学生命科学学院现已拥有的生物荧光显微镜、激光共聚焦显微镜、细胞遗传工作站、活细胞荧光工作站、流式细胞仪、荧光定量PCR仪等荧光检测仪器的基本原理、操作步骤及注意事项。本书彩页中的大部分照片是使用我院拥有的上述各种荧光检测仪器获得的。</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%BB%86%E8%83%9E%E7%94%9F%E7%89%A9%E5%AD%A6%E8%8D%A7%E5%85%89%E6%8A%80%E6%9C%AF%E5%8E%9F%E7%90%86%E5%92%8C%E5%BA%94%E7%94%A8%5D.%E5%88%98%E7%88%B1%E5%B9%B3.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|28407770|7884d4f781ed4fdbc519cb3ebd148496|h=oweyfcpyalugi7guncjvkzcbknyfuupk|/">[细胞生物学荧光技术原理和应用].刘爱平.扫描版.pdf</a></span><br />
</p></p>
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		<title>高教版翟中和《细胞生物学》[PDF]</title>
		<link>http://www.91bio.com/higher-education-edition-zhai-the-cell-biology-pdf/</link>
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		<pubDate>Tue, 01 May 2012 00:18:05 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[介绍： 本书是教育部“高等教育面向21世纪教学内容和课程体系改革计划”项目研究成果。由中国科学院院士、北京大学翟中和教授，四川大学王喜忠教授，北京大学丁明孝教授主编。是教育部推荐的“面向21世纪课程教材”，同时也是“九五”国家级重点教材。 本书保持了翟中和主编、1995年出版的《细胞生物学》简明、实用、内容新的优点，在内容上、体系上均有很大创新。以细胞的超微结构及功能为主线，以细胞的分子生物学为视点，并加重了细胞重大生命活动的内容，既系统地阐述了细胞生物学的基本概念、基础理论和基本技能，又反映了学科前沿，把经典内容和前沿知识有机地结合在一起。每章后都有提要、思考题和参考文献。 本书可供综合大学、农学院校、林学院校、医学院校的本科生、研究生使用，也可供有关科研工作人员参考。 下载 ed2k: 细胞生物学.pdf 相关书籍购买]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/f0d3c68a88e96cbac4301896a43013bb32535(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>介绍：</strong><br />
本书是教育部“高等教育面向21世纪教学内容和课程体系改革计划”项目研究成果。由中国科学院院士、北京大学翟中和教授，四川大学王喜忠教授，北京大学丁明孝教授主编。是教育部推荐的“面向21世纪课程教材”，同时也是“九五”国家级重点教材。<br />
本书保持了翟中和主编、1995年出版的《细胞生物学》简明、实用、内容新的优点，在内容上、体系上均有很大创新。以细胞的超微结构及功能为主线，以细胞的分子生物学为视点，并加重了细胞重大生命活动的内容，既系统地阐述了细胞生物学的基本概念、基础理论和基本技能，又反映了学科前沿，把经典内容和前沿知识有机地结合在一起。每章后都有提要、思考题和参考文献。<br />
本书可供综合大学、农学院校、林学院校、医学院校的本科生、研究生使用，也可供有关科研工作人员参考。</p>
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		<title>《生物化学与分子生物学高级教程》[PDF]</title>
		<link>http://www.91bio.com/biochemistry-and-molecular-biology-advanced-tutorial-pdf/</link>
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		<pubDate>Mon, 30 Apr 2012 13:29:03 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[简介： 本书是根据研究生与七年制医学生课程教学要求而编写的。全书主要分为两部分。第一部分讲述生物化学与分子生物学基础理论，包括生物大分子的结构和功能、基因表达调控、生物膜、信息传递、代谢调节、生物氧化等章节；第二部分叙述相关医用生物化学内容，如血液、神经生化、肿瘤等。考虑到细胞对生命现象的重要意义和生命科学研究技术的发展，增加了细胞分化和生物技术等内容。 下载： ed2k: [生物化学与分子生物学高级教程].周虹.扫描版.pdf 相关书籍购买：]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/d22a4fc71a5c35306b6114198e029f7f94154(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>简介：</strong></p>
<p>本书是根据研究生与七年制医学生课程教学要求而编写的。全书主要分为两部分。第一部分讲述生物化学与分子生物学基础理论，包括生物大分子的结构和功能、基因表达调控、生物膜、信息传递、代谢调节、生物氧化等章节；第二部分叙述相关医用生物化学内容，如血液、神经生化、肿瘤等。考虑到细胞对生命现象的重要意义和生命科学研究技术的发展，增加了细胞分化和生物技术等内容。</p>
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		<title>《细胞实验指南》（上、下册）D.L斯佩克特[PDF]</title>
		<link>http://www.91bio.com/cell-laboratory-manual-volume-dl-spector-pdf/</link>
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		<pubDate>Sun, 29 Apr 2012 23:52:17 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[简介 本书由美国冷泉港实验室邀请125位专家共同研讨和撰稿，是一部最新、最权威的综合性的细胞实验技术操作指南。汇总了被细胞生物学家们证明行之有效的众多的技术和方法，它们由三大主体组成：细胞的培养及其生物化学分析、光学显微镜及细胞结构和基因及其产物的亚细胞定位。本书内容丰富，包括从无脊椎动物到脊椎动物细胞的基本培养方法，细胞器的分离及生化分析，光学显微镜及电子显微镜水平的蛋白质定位，最近发展的共聚焦、去卷曲、多光子显微镜技术，活细胞的蛋白质动力学研究以及一系列进行蛋白质和大分子复合物显微镜研究的最先进技术方法，单拷贝基因及其转录产物的定位和原位杂交等，实为每个进行细胞和组织生物学研究的实验室乃至任何生命科学实验室所不可少的。 本书与备受称赞的冷泉港实验室出版社的《分子克隆实验指南》和《抗体技术实验指南》具有同样的特点，对即使具有多年工作经验的研究者也极其有用。本书可供在不同领域从事生命科学研究的人员参考。 下载 ed2k: 细胞实验指南上.pdf ed2k: 细胞实验指南下.pdf 相关书籍购买]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://www.golden-book.com/ProductImage/051201-051230/9787030075987.jpg" alt="" /></p>
<p><strong>简介</strong><br />
本书由美国冷泉港实验室邀请125位专家共同研讨和撰稿，是一部最新、最权威的综合性的细胞实验技术操作指南。汇总了被细胞生物学家们证明行之有效的众多的技术和方法，它们由三大主体组成：细胞的培养及其生物化学分析、光学显微镜及细胞结构和基因及其产物的亚细胞定位。本书内容丰富，包括从无脊椎动物到脊椎动物细胞的基本培养方法，细胞器的分离及生化分析，光学显微镜及电子显微镜水平的蛋白质定位，最近发展的共聚焦、去卷曲、多光子显微镜技术，活细胞的蛋白质动力学研究以及一系列进行蛋白质和大分子复合物显微镜研究的最先进技术方法，单拷贝基因及其转录产物的定位和原位杂交等，实为每个进行细胞和组织生物学研究的实验室乃至任何生命科学实验室所不可少的。<br />
本书与备受称赞的冷泉港实验室出版社的《分子克隆实验指南》和《抗体技术实验指南》具有同样的特点，对即使具有多年工作经验的研究者也极其有用。本书可供在不同领域从事生命科学研究的人员参考。</p>
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		<title>《生物化学与分子生物学实验技术》[PDF]</title>
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		<pubDate>Sun, 29 Apr 2012 13:02:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[简介 本书是教育部“高等教育面向21世纪教学内容和课程体系改革计划”的研究成果，是“面向21世纪课程教材”。 本书共分四部分，第一、二部分系统地介绍了生物化学与分子生物学基础理论；第三部分设计了17个生物化学及分子生物学实验；第四部分附列了实验须知，生物化学与分子生物学常用试剂的配制及参数。可供医学院校本科生、研究生以及从事生物化学与分子生物学工作的医务人员使用。 下载 ed2k: 生物化学与分子生物学实验技术.pdf 相关书籍下载]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-7.verycd.com/1f54a6687262aa1df4e89df3a6894a9a39179(600x)/thumb.jpg" alt="IPB Image" /></p>
<p><strong>简介</strong><br />
本书是教育部“高等教育面向21世纪教学内容和课程体系改革计划”的研究成果，是“面向21世纪课程教材”。<br />
本书共分四部分，第一、二部分系统地介绍了生物化学与分子生物学基础理论；第三部分设计了17个生物化学及分子生物学实验；第四部分附列了实验须知，生物化学与分子生物学常用试剂的配制及参数。可供医学院校本科生、研究生以及从事生物化学与分子生物学工作的医务人员使用。</p>
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		<title>小技巧之分离病毒颗粒</title>
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		<pubDate>Sun, 29 Apr 2012 00:45:48 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[实验技巧]]></category>
		<category><![CDATA[病毒]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646075</guid>
		<description><![CDATA[中国科学院广州生物医药与健康研究院的林锦梅介绍了一种分离病毒颗粒的生物实验技巧。 背景：基因治疗现今取得了显著的进步，基因治疗中腺病毒载体的发展必需借助于两种技术，第一种是在来自所用病毒构建和扩增步骤的样品中定量测定病毒 颗粒的高选择性高敏感性的快速方法，这一点对病毒原种生产方法的优化特别重要；第二种是纯化病毒颗粒的易于推广至工业规模的简单、可靠、可重复的方法。本 研究涉及一种对病毒颗粒进行纯化的新方法。具体在于样品预处理，让病毒释放完全，减少水解蛋白酶的污染。提高病毒回收率和纯度。 方法改进：根据病毒来源选择不同萃取方法，机械或化学溶胞而制得体积小，容易操作；但是化学 溶胞又引入新的物料，增加后续分离纯化工作量。而等到细胞自溶自动释放病毒颗粒，在上清收集，一个是时间性，另外一个是体积大需估计柱载量的限度对纯化成 本的影响。传统的机械溶胞是采用通过3～6个连续的解冻循环（-70℃乙醇干冰。37℃水溶）从核中释放病毒，如此获得的病毒释放不完全，而且重复性差。 综上所述根据情况考虑对纯化路线进行改进。超声细胞破碎使用温和，减少步骤，在室温下能快速处理样品，机械溶胞需要摸索合适强度减少蛋白酶的释放。从数据 分析，病毒峰超声1分钟比较适合。腺病毒是一个脆弱东西，超声时间过长对影响很大，另外也增加水解蛋白酶的释放。超声时间过短，核酸类物质不能完全打断， 容易与目标蛋白结合成复合物改变电荷，使重复性差。 结果：超声溶胞从实际工作需要出发，快速，微量，费用低廉，技术要求不高，操作安全。实现费用与效益双赢。实现用一般常规实验能够完成的测定，不必使用贵重精密仪器。检验员经 训练能较好掌握某种测定方法，实验时间缩短。“简单易学”在一定程度上意味着能保证检验质量。 ps：关于病毒颗粒 &#160;]]></description>
			<content:encoded><![CDATA[<div id="blog_text">
<p>中国科学院广州生物医药与健康研究院的林锦梅介绍了一种分离病毒颗粒的生物实验技巧。</p>
<p>背景：基因治疗现今取得了显著的进步，基因治疗中腺病毒载体的发展必需借助于两种技术，第一种是在来自所用病毒构建和扩增步骤的样品中定量测定病毒 颗粒的高选择性高敏感性的快速方法，这一点对病毒原种生产方法的优化特别重要；第二种是纯化病毒颗粒的易于推广至工业规模的简单、可靠、可重复的方法。本 研究涉及一种对病毒颗粒进行纯化的新方法。具体在于样品预处理，让病毒释放完全，减少水解蛋白酶的污染。提高病毒回收率和纯度。</p>
<p>方法改进：根据病毒来源选择不同萃取方法，机械或化学溶胞而制得体积小，容易操作；但是化学 溶胞又引入新的物料，增加后续分离纯化工作量。而等到细胞自溶自动释放病毒颗粒，在上清收集，一个是时间性，另外一个是体积大需估计柱载量的限度对纯化成 本的影响。传统的机械溶胞是采用通过3～6个连续的解冻循环（-70℃乙醇干冰。37℃水溶）从核中释放病毒，如此获得的病毒释放不完全，而且重复性差。 综上所述根据情况考虑对纯化路线进行改进。超声细胞破碎使用温和，减少步骤，在室温下能快速处理样品，机械溶胞需要摸索合适强度减少蛋白酶的释放。从数据 分析，病毒峰超声1分钟比较适合。腺病毒是一个脆弱东西，超声时间过长对影响很大，另外也增加水解蛋白酶的释放。超声时间过短，核酸类物质不能完全打断， 容易与目标蛋白结合成复合物改变电荷，使重复性差。</p>
<p>结果：超声溶胞从实际工作需要出发，快速，微量，费用低廉，技术要求不高，操作安全。实现费用与效益双赢。实现用一般常规实验能够完成的测定，不必使用贵重精密仪器。检验员经 训练能较好掌握某种测定方法，实验时间缩短。“简单易学”在一定程度上意味着能保证检验质量。</p>
<p>ps：关于病毒颗粒</p>
<div class='et-box et-info'>
					<div class='et-box-content'><strong>病毒颗粒</strong>(<strong>Virion</strong>)为在细胞外发现的完整的病毒粒，能以结晶形式存在，并感染活细胞，由含遗传物质的核状小体和衣壳组成。</div></div>
<p>&nbsp;</p>
</div>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《细胞和分子免疫学》原版(molecular and cellular Immunology)</title>
		<link>http://www.91bio.com/cellular-and-molecular-immunology-original-molecular-and-cellular-immunology/</link>
		<comments>http://www.91bio.com/cellular-and-molecular-immunology-original-molecular-and-cellular-immunology/#comments</comments>
		<pubDate>Sat, 28 Apr 2012 13:17:17 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免疫学]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646095</guid>
		<description><![CDATA[The new edition of this text continues the tradition of delivering an accessible, engaging, and current introduction to this essential subject. It describes the principles of basic and applied immunology in a concise, straightforward manner, while incorporating a wealth of current information. Over 330 new, full-color illustrations help readers grasp important information quickly and easily. [...]]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://image-1.verycd.com/4fd463d7cdeff211460a85b988007da935254(600x)/thumb.jpg" alt="IPB Image" /></p>
<p>The new edition of this text continues the tradition of delivering an accessible, engaging, and current introduction to this essential subject. It describes the principles of basic and applied immunology in a concise, straightforward manner, while incorporating a wealth of current information. Over 330 new, full-color illustrations help readers grasp important information quickly and easily.</p>
<p><strong>下载</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%BB%86%E8%83%9E%E5%92%8C%E5%88%86%E5%AD%90%E5%85%8D%E7%96%AB%E5%AD%A6%E8%8B%B1%E6%96%87%E7%89%88%5D.immunology.book.rar|186751998|4180ccb3bc9b04dddb38b32b31652bde|h=4ypni6npflvkcnsnxllmlg6a35a5mhag|/">[细胞和分子免疫学英文版].immunology.book.rar</a></span><br />
</p></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>小技巧之查找质粒图谱</title>
		<link>http://www.91bio.com/tips-to-the-find-the-plasmid-map/</link>
		<comments>http://www.91bio.com/tips-to-the-find-the-plasmid-map/#comments</comments>
		<pubDate>Sat, 28 Apr 2012 00:44:56 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[实验技巧]]></category>
		<category><![CDATA[生物实验]]></category>
		<category><![CDATA[质粒]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646072</guid>
		<description><![CDATA[方法一：安装软件Vector NT 做 分子实验，经常和不同的质粒打交道，了解各种质粒的图谱信息是必需的，invitrogen公司的这款软件绝对是分子生物学虫子们的福音，功能强大、界面 美观，使用起来很人性化。后面的很多方法都是基于在这款软件的使用之上，因此个人觉得要想对质粒图谱了解更直观，安装这款软件是非常必要的。而且，一旦安 装了这款软件，你就发现这款软件的软件包里面会包括invitrogen公司的所有质粒图谱信息和其他比较常见和经典的质粒图谱。这里就不一一细说，各位 虫子可以自己体验下。（这款软件的下载和使用说明书站内很多） 方法二：查找质粒图谱的网站： 这个之前有人求助质粒图谱时，我在回应求助帖里面公布过几个我经常用的网址，估计不是专题，很多人没看到，现在在此重新总结下 1.Vector Database 地址：https://www.lablife.org/g?a=vdb 这个网站很页面很人性化，直入主题，也是我经常用到一个网站，比如同样这个帖子求pRS类质粒图谱（注意，是一类质粒图谱，没关系，照样能找到），直接在搜索框输入pRS，可以看到，之类质粒一共有三十多个。 找到自己需要的质粒名称，点击进入，就可以看到质粒图谱了 拿第一个质粒pRS413举例，如上图，质粒图谱是不是很难看，对，我也觉得很难看，没关系，看见view sequence了吗？点击进入，我们就得到该质粒图谱的序列了。 如 何得到比较好看的质粒图谱呢，看到GeneBank了吗？对，熟悉vector的虫子们肯定知道该如何做了，对，点击进入，如下图，复制所有的代码部分， 新建txt文件，粘贴上代码后，将文件扩展名由txt更改为gb格式，导入vector，你就可以在vector里面看到质粒图谱了。 因为这个网站我经常用，并且和NCBI网站的运用方式一样，以及和Vector软件的配合使用，因此讲解比较啰嗦。 2.Vector DB 网址：http://genome-www.stanford.edu/vectordb/vector.html 这个网站我也用得比较多，总结和分类都比较完整。基本包括了所有表达系统的质粒信息。 不过唯一有一点不爽的就是，这个网站竟然没有搜索栏啊，太不人性化了。那如何在那么多质粒信息中查找到我们所需要的质粒的信息呢？没关系，我们有网页字符查找功能，见红色标记部分。 方法是：网页工具栏 编辑——–在此页上查找，然后输入你的质粒名称，就可以了。比如：我们输入pRS，是不是就和搜索栏一样出现有用信息了？ 点 击我们需要的质粒进入下以页面，以质粒pRS303为例，如下图。有用信息除了对该质粒进行的一些描述性语言外，最重要的要算是红色标记部分 了，sequence link进入是该质粒的序列。NCBI link，点击直接进入了NCBI，如何在NCBI中得到质粒图谱，下面将进行详细解释。 3．NCBI 网址：http://www.ncbi.nlm.nih.gov/ 真不好意思，这么重要的网站，留到这时候才介绍，NCBI功能很广泛，其他功能我就不介绍了，重点介绍如何用NCBI查找质粒图谱信息。如下图，search下拉框中选中Nucleotide，搜索栏输入质粒名称，拿pRS303举例： search后，得到搜索结果，如下图，点击右边的send to，选中file，genebank等选项，点击Create File选项，得到一个gb格式的文件，导入vector软件中，就得到了我们需要的质粒图谱了。 4．其他查找质粒图谱的网站： 寒梅砺剑阁（不是很全） http://yoou.bokee.com/5757561.html bioask http://www.bioask.cn/html/857.html AddGene（西瓜版主提供，真的是个非常不错的网址） http://www.addgene.org 这两个网站其实也很不错的，使用方法都是大同小异，就不特别介绍了，希望就放收藏夹就可以了。 方法三：一些重要试剂公司网页 其实也是一些网站，因为这些网站除了得到质粒图谱等信息，还可以得到关于质粒使用方面的信息，因此单独拿出来做一个分类。做分子的虫子都知道，现在很多质粒，特别是应用比较广泛的质粒都一些公司商业化的质粒，基本是由一个质粒你就会联想到一个公司的名字。 比如简单的，克隆载体pMD18-T，TaKaRa，有木有；pGM-T，天根，有木有； 一 些表达载体，使用最广泛的，pET系列，Novagen公司（默克）的；有双MCS的Duet系列载体，Novagen的；毕赤酵母表达质粒 pPIC3.5k，pPIC9k，pPICZA，pPICZaA等等，都是invitrogen的；另外一些pYES酿酒酵母表达系统，也是 invitrogen的，因此知道常见的质粒是哪个公司的，去他们公司网站上肯定可以找到该质粒的相关信息。 比如：这个虫子求pGM-T载体序列，见帖子http://emuch.net/bbs/viewthread.php?tid=3081308，如下图，他们公司主页有吧。 另外：invitrogen公司：http://zh.invitrogen.com/site/cn/zh/home.html [...]]]></description>
			<content:encoded><![CDATA[<div>
<p>方法一：安装软件Vector NT</p>
<p>做 分子实验，经常和不同的质粒打交道，了解各种质粒的图谱信息是必需的，invitrogen公司的这款软件绝对是分子生物学虫子们的福音，功能强大、界面 美观，使用起来很人性化。后面的很多方法都是基于在这款软件的使用之上，因此个人觉得要想对质粒图谱了解更直观，安装这款软件是非常必要的。而且，一旦安 装了这款软件，你就发现这款软件的软件包里面会包括invitrogen公司的所有质粒图谱信息和其他比较常见和经典的质粒图谱。这里就不一一细说，各位 虫子可以自己体验下。（这款软件的下载和使用说明书站内很多）</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033721z3K.jpg" alt="" /></p>
<p>方法二：查找质粒图谱的网站：</p>
<p>这个之前有人求助质粒图谱时，我在回应求助帖里面公布过几个我经常用的网址，估计不是专题，很多人没看到，现在在此重新总结下<br />
1.Vector Database<br />
地址：https://www.lablife.org/g?a=vdb<br />
这个网站很页面很人性化，直入主题，也是我经常用到一个网站，比如同样这个帖子求pRS类质粒图谱（注意，是一类质粒图谱，没关系，照样能找到），直接在搜索框输入pRS，可以看到，之类质粒一共有三十多个。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033722TXe.jpg" alt="" width="896" /></p>
<p>找到自己需要的质粒名称，点击进入，就可以看到质粒图谱了</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033723Hb9.jpg" alt="" /></p>
<p>拿第一个质粒pRS413举例，如上图，质粒图谱是不是很难看，对，我也觉得很难看，没关系，看见view sequence了吗？点击进入，我们就得到该质粒图谱的序列了。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033724UJK.jpg" alt="" /></p>
<p>如 何得到比较好看的质粒图谱呢，看到GeneBank了吗？对，熟悉vector的虫子们肯定知道该如何做了，对，点击进入，如下图，复制所有的代码部分， 新建txt文件，粘贴上代码后，将文件扩展名由txt更改为gb格式，导入vector，你就可以在vector里面看到质粒图谱了。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033725jiv.jpg" alt="" /></p>
<p>因为这个网站我经常用，并且和NCBI网站的运用方式一样，以及和Vector软件的配合使用，因此讲解比较啰嗦。<br />
2.Vector DB<br />
网址：<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fgenome-www.stanford.edu%2Fvectordb%2Fvector.html" target="_blank">http://genome-www.stanford.edu/vectordb/vector.html</a><br />
这个网站我也用得比较多，总结和分类都比较完整。基本包括了所有表达系统的质粒信息。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033726uhH.jpg" alt="" /></p>
<p>不过唯一有一点不爽的就是，这个网站竟然没有搜索栏啊，太不人性化了。那如何在那么多质粒信息中查找到我们所需要的质粒的信息呢？没关系，我们有网页字符查找功能，见红色标记部分。<br />
方法是：网页工具栏 编辑——–在此页上查找，然后输入你的质粒名称，就可以了。比如：我们输入pRS，是不是就和搜索栏一样出现有用信息了？</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033727LvF.jpg" alt="" /></p>
<p>点 击我们需要的质粒进入下以页面，以质粒pRS303为例，如下图。有用信息除了对该质粒进行的一些描述性语言外，最重要的要算是红色标记部分 了，sequence link进入是该质粒的序列。NCBI link，点击直接进入了NCBI，如何在NCBI中得到质粒图谱，下面将进行详细解释。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033728qa0.jpg" alt="" /></p>
<p>3．NCBI<br />
网址：<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.ncbi.nlm.nih.gov%2F" target="_blank">http://www.ncbi.nlm.nih.gov/</a><br />
真不好意思，这么重要的网站，留到这时候才介绍，NCBI功能很广泛，其他功能我就不介绍了，重点介绍如何用NCBI查找质粒图谱信息。如下图，search下拉框中选中Nucleotide，搜索栏输入质粒名称，拿pRS303举例：</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033729mLV.jpg" alt="" /></p>
<p>search后，得到搜索结果，如下图，点击右边的send to，选中file，genebank等选项，点击Create File选项，得到一个gb格式的文件，导入vector软件中，就得到了我们需要的质粒图谱了。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033730NgB.jpg" alt="" width="896" /></p>
<p>4．其他查找质粒图谱的网站：</p>
<p>寒梅砺剑阁（不是很全）<br />
<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fyoou.bokee.com%2F5757561.html" target="_blank">http://yoou.bokee.com/5757561.html</a><br />
bioask<br />
<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.bioask.cn%2Fhtml%2F857.html" target="_blank">http://www.bioask.cn/html/857.html</a><br />
AddGene（西瓜版主提供，真的是个非常不错的网址）<br />
<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.addgene.org" target="_blank">http://www.addgene.org</a><br />
这两个网站其实也很不错的，使用方法都是大同小异，就不特别介绍了，希望就放收藏夹就可以了。</p>
<p>方法三：一些重要试剂公司网页</p>
<p>其实也是一些网站，因为这些网站除了得到质粒图谱等信息，还可以得到关于质粒使用方面的信息，因此单独拿出来做一个分类。做分子的虫子都知道，现在很多质粒，特别是应用比较广泛的质粒都一些公司商业化的质粒，基本是由一个质粒你就会联想到一个公司的名字。<br />
比如简单的，克隆载体pMD18-T，TaKaRa，有木有；pGM-T，天根，有木有；<br />
一 些表达载体，使用最广泛的，pET系列，Novagen公司（默克）的；有双MCS的Duet系列载体，Novagen的；毕赤酵母表达质粒 pPIC3.5k，pPIC9k，pPICZA，pPICZaA等等，都是invitrogen的；另外一些pYES酿酒酵母表达系统，也是 invitrogen的，因此知道常见的质粒是哪个公司的，去他们公司网站上肯定可以找到该质粒的相关信息。<br />
比如：这个虫子求pGM-T载体序列，见帖子<a href="http://emuch.net/bbs/viewthread.php?tid=3081308" target="_blank">http://emuch.net/bbs/viewthread.php?tid=3081308</a>，如下图，他们公司主页有吧。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033731oJw.jpg" alt="" /></p>
<p>另外：invitrogen公司：<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fzh.invitrogen.com%2Fsite%2Fcn%2Fzh%2Fhome.html" target="_blank">http://zh.invitrogen.com/site/cn/zh/home.html</a><br />
Novagen公司：<a href="http://emuch.net/bbs/url.php?s=http%3A%2F%2Fwww.merckbiosciences.com%2Fg.asp%3Ff%3DNVG%2FpETtable.html" target="_blank">http://www.merckbiosciences.com/g.asp?f=NVG/pETtable.html<br />
在他们公司主页搜索栏直接搜索质粒名称，得到质粒序列，图谱什么的都不成问题，而且可以下到表达系统操作手册，原核表达看完pET表达系统操作手册，真核系统看完毕赤酵母表达系统，一些表达方面的的知识你就是半个专家了，扯远了。。。。。。</a></p>
<p>方法四：如何查找经过改造过的质粒的质粒图谱</p>
<p>有些质粒是经过改造的，所以通过上述方法不能查询到相应信息。这时，可以在google scholar中输入质粒名称，可以直观地看哪些学者在何文章中使用了该质粒，从而可了解到质粒的来源；或者籍此向作者咨询或索取。</p>
<p>另外介绍下如何通过文献查找经过改造的质粒的图谱信息，<br />
Kuhlman, T. E. and E. C. Cox (2010). “☆Site-specific chromosomal integration of large synthetic constructs.” Nucleic Acids Res 38(6): e92.<br />
这篇文献，介绍了一种大肠杆菌染色体整合的方法，文中介绍了三个质粒，是由作者自己改造了，如何查找到这三个质粒图谱了呢？<br />
首先在PubMed中搜索到该文献，如下图。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033732ELc.jpg" alt="" width="896" /></p>
<p>很 多人，找到文献，仅仅将文献下载下来就OK了，其实还有很多有用的信息，比如文章的supplementary，还有如上图右边的标记部 分，Nucleotide，protein都是一些很重要的信息。点击右边的Nucleotide，进入如下页面，看，文中涉及到的六个质粒序列全都有， 点击进入，按照方法二中，NCBI下载质粒图谱的方法就可以得到这几个质粒的图谱，当然，前提是该文章的作者已将将载体信息上传了NCBI。</p>
<p><img src="http://web.91bio.com/wp-content/uploads/auto_save_image/2012/04/033733tDm.jpg" alt="" /></p>
<p><a href="http://www.wumii.com/widget/relatedItems.htm"><img src="http://static.wumii.com/images/pixel.png" alt="无觅相关文章插件，快速提升流量" /></a></p>
</div>
<p>&nbsp;</p>
<p><em><br />
转自小木虫，找生物简单编辑，感谢原作者</em><em>susizheng！</em></p>
]]></content:encoded>
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		</item>
		<item>
		<title>安卓app生物应用之icell</title>
		<link>http://www.91bio.com/andrews-app-biological-applications-icell/</link>
		<comments>http://www.91bio.com/andrews-app-biological-applications-icell/#comments</comments>
		<pubDate>Fri, 27 Apr 2012 07:40:21 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646062</guid>
		<description><![CDATA[简介 iCell是一个免费的教育应用程序，供观察学习细胞内部3D构造。涵盖三种细胞种类：动物细胞、植物细胞和微生物，通过图像学习细胞内的各种构造结构，供生物学、生物化学、基因学等方面的师生使用。 可以滑动或点击图像的不同位置，放大/缩小查看细胞内不同部分结构，显示名称及功能，更多更能期待您去探索。 应用截图]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/icell.png"><img src="http://www.91bio.com/wp-content/uploads/2012/04/icell.png" alt="" title="icell" width="705" height="345" class="aligncenter size-full wp-image-646069" /></a><br />
<strong>简介</strong></p>
<p>iCell是一个免费的教育应用程序，供观察学习细胞内部3D构造。涵盖三种细胞种类：动物细胞、植物细胞和微生物，通过图像学习细胞内的各种构造结构，供生物学、生物化学、基因学等方面的师生使用。</p>
<p>可以滑动或点击图像的不同位置，放大/缩小查看细胞内不同部分结构，显示名称及功能，更多更能期待您去探索。</p>
<p><strong>应用截图</strong></p>
<p><img src=”data:image/png;base64,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&#215;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&#215;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” 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&#215;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&#215;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” 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&#215;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” alt=”" /></p>
<p><strong>下载地址：</strong></p>
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]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/andrews-app-biological-applications-icell/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>《牛津英语词典生物化学与分子生物学》[PDF]</title>
		<link>http://www.91bio.com/the-oxford-english-dictionary-of-biochemistry-and-molecular-biology-oxford-dictionary-of-biochemistry-and-molecular-biology-pdf/</link>
		<comments>http://www.91bio.com/the-oxford-english-dictionary-of-biochemistry-and-molecular-biology-oxford-dictionary-of-biochemistry-and-molecular-biology-pdf/#comments</comments>
		<pubDate>Thu, 26 Apr 2012 07:56:25 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[简介 牛津英语词典生物化学与分子生物学提供了全面调查当前生物化学与分子生物学. .近几年,生物化学与分子生物学的语言已扩大到极大程度,一些科学家可望熟悉它的各个方面. 这是由于基因工程和历届&#8211;组学项目提供全面介绍基因、产品功能基因、细胞进程. 在此同时,街道似乎越来越受到来自其他方面的生化文学. 热门字典已全面检讨和更新,包括许多重要的新概念和新词. 参赛作品简短而翔实,提供了最新信息的问题进行了广泛、从选定的定义包括生物信息、生物物理、细胞生物学、化学、遗传学、免疫学、数学、微生物学、药理 学、系统生物学、和毒理学. 主要作品有超过21,000,其中详细的过程和生化物质所涉及分子生物学的方法和概念界定,给生化符号和缩写的定义. 它指出,从陷阱往往无所适从. 它的确切解释句法生化名词,如希腊字母等格式,当因特网搜索所失. 除了说明与辞典900化学结构. 牛津英语词典生物化学与分子生物学作为一个宝贵的参考生化学和分子生物学领域寻找自己的信息外,而对于那些欲重温基本原则. 下载 ed2k: [牛津英语词典生物化学与分子生物学].Oxford.Dictionary.of.Biochemistry.and.Molecular.Biology.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://www.rrting.com/English/Files/2010-5/21/2010052108533559068.jpg" alt="Oxford Dictionary of Biochemistry and Molecular Biology" /></p>
<p><strong>简介</strong></p>
<p>牛津英语词典生物化学与分子生物学提供了全面调查当前生物化学与分子生物学. .近几年,生物化学与分子生物学的语言已扩大到极大程度,一些科学家可望熟悉它的各个方面. 这是由于基因工程和历届&#8211;组学项目提供全面介绍基因、产品功能基因、细胞进程. 在此同时,街道似乎越来越受到来自其他方面的生化文学. 热门字典已全面检讨和更新,包括许多重要的新概念和新词. 参赛作品简短而翔实,提供了最新信息的问题进行了广泛、从选定的定义包括生物信息、生物物理、细胞生物学、化学、遗传学、免疫学、数学、微生物学、药理 学、系统生物学、和毒理学. 主要作品有超过21,000,其中详细的过程和生化物质所涉及分子生物学的方法和概念界定,给生化符号和缩写的定义. 它指出,从陷阱往往无所适从. 它的确切解释句法生化名词,如希腊字母等格式,当因特网搜索所失. 除了说明与辞典900化学结构.<br />
牛津英语词典生物化学与分子生物学作为一个宝贵的参考生化学和分子生物学领域寻找自己的信息外,而对于那些欲重温基本原则.</p>
<p><strong>下载</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%89%9B%E6%B4%A5%E8%8B%B1%E8%AF%AD%E8%AF%8D%E5%85%B8%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%E4%B8%8E%E5%88%86%E5%AD%90%E7%94%9F%E7%89%A9%E5%AD%A6%5D.Oxford.Dictionary.of.Biochemistry.and.Molecular.Biology.pdf|98659325|22d0e46e40fa494d46df8096c5ceed9c|h=6i4a5hxhpltxorlclw7623vmq2pbmzj7|/">[牛津英语词典生物化学与分子生物学].Oxford.Dictionary.of.Biochemistry.and.Molecular.Biology.pdf</a></span><br />
</p></p>
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		<title>最酷的12种动物zt</title>
		<link>http://www.91bio.com/the-coolest-12-kinds-of-animals-zt/</link>
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		<pubDate>Thu, 26 Apr 2012 06:14:26 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

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		<description><![CDATA[据英国《新科学家》杂志报道，经过生物学家们的一致投票，依据生物体生命演变、生存本领、传宗接代的若干指标，评选出“最酷的12种动物”，黄腹三 趾蜥蜴、沙漠长耳蝠、洞螈等动物皆榜上有名，有些新发现的物种，现在还只有原文的学名，没有中文名呢！所以，当你看到以下内容中那些长长的英文字母时，千 万不要奇怪。 1.黄腹三趾蜥蜴 　　这种澳大利亚爬行动物可谓是动物进化的异类。 在这个物种当中，有的选择“卵生”，有的选择“胎生”。虽然它们可以异种交配，但显然是同一个物种。 2.Symbion pandora 　　每当科学家发现一个新物种，往往都会激动不已，更何况是一个全新的动物门类呢？！Symbion pandora不仅是新的动物，而且还是一种新的动物种类。 3.东方大黄蜂 　　人类仍在努力发挥太阳能的作用，大黄蜂显然走到了我们前面。 东方大黄蜂（Oriental hornet）在白天非常活跃，而且温度越高越活跃。为什么呢？研究人员最终揭开了这个谜团，原因是这种大黄蜂能利用太阳能。你看，东方大黄蜂腹部独特的黄色条纹实际上是一组微小突起，那个小突起能够收集阳光转化成电能。 4.骨蝇 　　科学家原本认为骨蝇（bone skipper）早在160年前便已灭绝，但这种苍蝇却“死而复生”，重现地球，在西班牙被人发现。它曾被认为是由人类消灭的第一种苍蝇，发现结果却表明，人类做不到那一点。 5.沙漠长耳蝠 　　蝎子是一种致命的动物，但是，在沙漠长耳蝠面前，却只能沦为后者的美餐。 一只沙漠长耳蝠从几米的高处扑向一只蝎子，试图咬住它的头部。作为报复，蝎子直接将螫刺扎向蝙蝠面部。蝙蝠会做出怎样的反应？令人意想不到的 是，它竟然直接展开攻击，咬死蝎子，带回洞里美餐一顿，即便是它自己已被可怕的巴勒斯坦黄蝎子的螫刺蜇了一下。因为人如果被黄蝎子蜇一下，就会一命呜呼； 然而，长耳沙漠蝙蝠却安然无恙！于是它赢得了世界上生命力最顽强蝙蝠的头衔，的确是实至名归。 6.洞螈 　　这是一种具有半透明皮肤的盲蝾螈，终生地栖息在地下水形成的暗洞内，没有眼睛，没有皮肤色素沉着，时常将鼻孔伸出水面呼吸空气。 洞螈曾被认为是龙的幼体，为人类寻找长生不老之法提供了重要线索：它们的寿命可能超过百年，这恐怕是因为其代谢机制不同寻常。 7.大鸨 　　大鸨或许是现在地球上会飞的动物中最重的。雄性通常重达10至16公斤，有些甚至达到21公斤。相比之下，雌性的重量一般不超过5公斤。这是体型差异最大的鸟类，在一定程度上反映了一个道理：雌性更喜欢矮矮胖胖的雄性。 8.Spinoloricus x 　　这种生物表面看上去或许没有什么独到之处，但它确实是迄今发现的最值得注意的生物之一：已知第一种可以在完全没有氧气的情况下生存和繁殖的复杂 动物。大量单细胞生物没有氧气也能快乐生活，但Spinoloricus x是一种结构复杂的动物，身上有数百万个细胞。它寄生于地中海深处的沉淀物，而那里充斥着盐和硫化氢气体。 9.Cacoxenus indagator寄生蝇 　　当你躲藏在黑暗中，食物已经吃光了，必须逃出去时，只能用头猛烈地撞击石头墙，甚至不清楚方向是否正确。这可能听上去就像是来自《电锯惊魂 23》中的场景，但这确实是寄生蝇Cacoxenus indagator开始成年生活的必由之路。在人类面临挣扎的相同状况下，对Cacoxenus indagator来说，或许是小菜一碟。 10.Syringammina fragilissima 　　1882年夏末，一艘名为“海神”号（Triton）的船只航行在苏格兰以北冰冷的海面上，从海中打捞出来一种新有机体―――单细胞没有外壳的有孔虫（xenophyophores）的第一个标本。 “海神”号发现的这个物种Syringammina fragilissima其实十分罕见。大多数单细胞生物只能用显微镜才能看到，但Syringammina往往可以长到10厘米宽，有时甚至20厘米。 它周身长着一种称为介壳的硬壳结构，这是单细胞生物生成的最大物体。 11.薄荷虾 　　这种外观鲜艳的甲壳纲动物遵循不同寻常的生活方式，需要极端的技巧：它是一种雄蕊先熟的雌雄同体。也就是说，薄荷虾出生时是雄性，一旦眼前的交配选择极少，它会变成具有雄性和雌性性器官的雌雄同体。 12.Mummichog鱼 　　有个笑话说，如果世界被核战争所毁灭，唯一的幸存者是螳螂和基思理查兹（出生于英国的摇滚传奇人物），但Mummichog鱼也会与它们展开激烈竞争。这种鱼类可以轻松应对各种各样的极端环境。 Mummichog鱼可以在令几乎所有生物死亡的污染水平下生存。不仅如此，Mummichog还是第一种被送上太空的鱼类。这说明，它是一种可以应对太空环境的鱼。 本文来源：http://tech.gmw.cn/2012-04/26/content_4042629_12.htm]]></description>
			<content:encoded><![CDATA[<p>据英国《新科学家》杂志报道，经过生物学家们的一致投票，依据生物体生命演变、生存本领、传宗接代的若干指标，评选出“最酷的12种动物”，黄腹三 趾蜥蜴、沙漠长耳蝠、洞螈等动物皆榜上有名，有些新发现的物种，现在还只有原文的学名，没有中文名呢！所以，当你看到以下内容中那些长长的英文字母时，千 万不要奇怪。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_2.htm" target="_self"><img id="3583116" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e3c.jpg" alt="" border="0" /></a></p>
<p align="center">1.黄腹三趾蜥蜴</p>
<p>　　这种澳大利亚爬行动物可谓是动物进化的异类。</p>
<p>在这个物种当中，有的选择“卵生”，有的选择“胎生”。虽然它们可以异种交配，但显然是同一个物种。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_3.htm" target="_self"><img id="3583117" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e3d.jpg" alt="" border="0" /></a></p>
<p align="center">2.Symbion pandora</p>
<p>　　每当科学家发现一个新物种，往往都会激动不已，更何况是一个全新的动物门类呢？！Symbion pandora不仅是新的动物，而且还是一种新的动物种类。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_4.htm" target="_self"><img id="3583118" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e3e.jpg" alt="" border="0" /></a></p>
<p align="center">3.东方大黄蜂</p>
<p>　　人类仍在努力发挥太阳能的作用，大黄蜂显然走到了我们前面。</p>
<p>东方大黄蜂（Oriental hornet）在白天非常活跃，而且温度越高越活跃。为什么呢？研究人员最终揭开了这个谜团，原因是这种大黄蜂能利用太阳能。你看，东方大黄蜂腹部独特的黄色条纹实际上是一组微小突起，那个小突起能够收集阳光转化成电能。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_5.htm" target="_self"><img id="3583119" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e3f.jpg" alt="" border="0" /></a></p>
<p align="center">4.骨蝇</p>
<p>　　科学家原本认为骨蝇（bone skipper）早在160年前便已灭绝，但这种苍蝇却“死而复生”，重现地球，在西班牙被人发现。它曾被认为是由人类消灭的第一种苍蝇，发现结果却表明，人类做不到那一点。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_6.htm" target="_self"><img id="3583120" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e40.jpg" alt="" border="0" /></a></p>
<p align="center">5.沙漠长耳蝠</p>
<p>　　蝎子是一种致命的动物，但是，在沙漠长耳蝠面前，却只能沦为后者的美餐。</p>
<p>一只沙漠长耳蝠从几米的高处扑向一只蝎子，试图咬住它的头部。作为报复，蝎子直接将螫刺扎向蝙蝠面部。蝙蝠会做出怎样的反应？令人意想不到的 是，它竟然直接展开攻击，咬死蝎子，带回洞里美餐一顿，即便是它自己已被可怕的巴勒斯坦黄蝎子的螫刺蜇了一下。因为人如果被黄蝎子蜇一下，就会一命呜呼； 然而，长耳沙漠蝙蝠却安然无恙！于是它赢得了世界上生命力最顽强蝙蝠的头衔，的确是实至名归。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_7.htm" target="_self"><img id="3583121" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e41.jpg" alt="" border="0" /></a></p>
<p align="center">6.洞螈</p>
<p>　　这是一种具有半透明皮肤的盲蝾螈，终生地栖息在地下水形成的暗洞内，没有眼睛，没有皮肤色素沉着，时常将鼻孔伸出水面呼吸空气。</p>
<p>洞螈曾被认为是龙的幼体，为人类寻找长生不老之法提供了重要线索：它们的寿命可能超过百年，这恐怕是因为其代谢机制不同寻常。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_8.htm" target="_self"><img id="3583122" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e42.jpg" alt="" border="0" /></a></p>
<p align="center">7.大鸨</p>
<p>　　大鸨或许是现在地球上会飞的动物中最重的。雄性通常重达10至16公斤，有些甚至达到21公斤。相比之下，雌性的重量一般不超过5公斤。这是体型差异最大的鸟类，在一定程度上反映了一个道理：雌性更喜欢矮矮胖胖的雄性。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_9.htm" target="_self"><img id="3583123" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e43.jpg" alt="" border="0" /></a></p>
<p align="center">8.Spinoloricus x</p>
<p>　　这种生物表面看上去或许没有什么独到之处，但它确实是迄今发现的最值得注意的生物之一：已知第一种可以在完全没有氧气的情况下生存和繁殖的复杂 动物。大量单细胞生物没有氧气也能快乐生活，但Spinoloricus x是一种结构复杂的动物，身上有数百万个细胞。它寄生于地中海深处的沉淀物，而那里充斥着盐和硫化氢气体。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_10.htm" target="_self"><img id="3583124" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e44.jpg" alt="" border="0" /></a></p>
<p align="center">9.Cacoxenus indagator寄生蝇</p>
<p>　　当你躲藏在黑暗中，食物已经吃光了，必须逃出去时，只能用头猛烈地撞击石头墙，甚至不清楚方向是否正确。这可能听上去就像是来自《电锯惊魂 23》中的场景，但这确实是寄生蝇Cacoxenus indagator开始成年生活的必由之路。在人类面临挣扎的相同状况下，对Cacoxenus indagator来说，或许是小菜一碟。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_11.htm" target="_self"><img id="3583125" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e45.jpg" alt="" border="0" /></a></p>
<p align="center">10.Syringammina fragilissima</p>
<p>　　1882年夏末，一艘名为“海神”号（Triton）的船只航行在苏格兰以北冰冷的海面上，从海中打捞出来一种新有机体―――单细胞没有外壳的有孔虫（xenophyophores）的第一个标本。</p>
<p>“海神”号发现的这个物种Syringammina fragilissima其实十分罕见。大多数单细胞生物只能用显微镜才能看到，但Syringammina往往可以长到10厘米宽，有时甚至20厘米。 它周身长着一种称为介壳的硬壳结构，这是单细胞生物生成的最大物体。</p>
<p align="center"><a href="http://tech.gmw.cn/2012-04/26/content_4042629_12.htm" target="_self"><img id="3583126" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e46.jpg" alt="" border="0" /></a></p>
<p align="center">11.薄荷虾</p>
<p>　　这种外观鲜艳的甲壳纲动物遵循不同寻常的生活方式，需要极端的技巧：它是一种雄蕊先熟的雌雄同体。也就是说，薄荷虾出生时是雄性，一旦眼前的交配选择极少，它会变成具有雄性和雌性性器官的雌雄同体。</p>
<p align="center"><a title="" href="http://tech.gmw.cn/2012-04/26/content_4042207.htm" target="_blank"><img id="3583127" title="盘点最酷的12种动物：骨蝇“死而复生”" src="http://imgtech.gmw.cn/attachement/jpg/site2/20120426/f04da22ddf331103035e47.jpg" alt="" /></a></p>
<p align="center">12.Mummichog鱼</p>
<p>　　有个笑话说，如果世界被核战争所毁灭，唯一的幸存者是螳螂和基思理查兹（出生于英国的摇滚传奇人物），但Mummichog鱼也会与它们展开激烈竞争。这种鱼类可以轻松应对各种各样的极端环境。</p>
<p>Mummichog鱼可以在令几乎所有生物死亡的污染水平下生存。不仅如此，Mummichog还是第一种被送上太空的鱼类。这说明，它是一种可以应对太空环境的鱼。</p>
<p>本文来源：http://tech.gmw.cn/2012-04/26/content_4042629_12.htm</p>
]]></content:encoded>
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		<title>《蛋白质技术手册》[PDF]</title>
		<link>http://www.91bio.com/protein-technology-manual-pdf/</link>
		<comments>http://www.91bio.com/protein-technology-manual-pdf/#comments</comments>
		<pubDate>Thu, 26 Apr 2012 00:55:01 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[操作手册]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[蛋白质]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646043</guid>
		<description><![CDATA[简介 本书是一本蛋白质研究实验方法的工具书。内容包括蛋白质分离纯化、蛋白质浓度测定、蛋白质溶液的浓缩、凝胶电泳、等电聚焦电 泳、双向电泳、毛细管电泳、免疫印迹、层析技术、蛋白质晶体培养和蛋白质一级结构测定等。本书介绍了这些方法的基本原理，重点在于每种方法的操作过程和经 验总结，指出成败的关键、可能出现的问题及解决的方法。书后附有蛋白质研究的各种常用数据表。 下载 ed2k: 蛋白质技术手册.pdf 书籍购买 不过比较遗憾的这本书在市场上及网上难以购买到了！在淘宝上尚有几家在卖，不过不知道质量怎么样，有兴趣的可以去看看 蛋白质技术手册/汪家政，范明 【H1正版】蛋白质技术手册 其他相关书籍购买]]></description>
			<content:encoded><![CDATA[<p style="text-align: center;"><img class="aligncenter" title="蛋白质技术手册" src="http://image-7.verycd.com/377a917c7488b8cc5d518bc70eac6bfc39533%28600x%29/thumb.jpg" alt="" width="317" height="462" /></p>
<p><strong>简介</strong><br />
本书是一本蛋白质研究实验方法的工具书。内容包括蛋白质分离纯化、蛋白质浓度测定、蛋白质溶液的浓缩、凝胶电泳、等电聚焦电 泳、双向电泳、毛细管电泳、免疫印迹、层析技术、蛋白质晶体培养和蛋白质一级结构测定等。本书介绍了这些方法的基本原理，重点在于每种方法的操作过程和经 验总结，指出成败的关键、可能出现的问题及解决的方法。书后附有蛋白质研究的各种常用数据表。<br />
<strong>下载</strong><br />
<div class='et-box et-bio'>
					<div class='et-box-content'>网盘下载：<a href="http://ishare.iask.sina.com.cn/f/11769167.html?w=MTYxODczODg4NQ%3D%3D" target="_blank">蛋白质技术手册.pdf</a></div></div></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%E8%9B%8B%E7%99%BD%E8%B4%A8%E6%8A%80%E6%9C%AF%E6%89%8B%E5%86%8C.pdf|6232463|2b5b75bb8acd45f029c6c06f2ec023f4|h=heojlejzhfxswua56igjtqghs6ogzrbz|/">蛋白质技术手册.pdf</a></span><br />
</p><br />
<strong>书籍购买</strong><br />
<strong>不过比较遗憾的这本书在市场上及网上难以购买到了！在淘宝上尚有几家在卖，不过不知道质量怎么样，有兴趣的可以去看看</strong><br />
<a href="http://s.click.taobao.com/t_8?e=7HZ6jHSTbIQxbgRrmPcWK2SMIBJeIATfuA0bzi7nuwqhew%3D%3D&amp;p=mm_23627617_0_0">蛋白质技术手册/汪家政，范明</a><br />
<a href="http://s.click.taobao.com/t_8?e=7HZ6jHSTbIWfp%2FO4WWPJzX%2BXpP5d4USkMvgXJd%2BhSv0Ewg%3D%3D&amp;p=mm_23627617_0_0">【H1正版】蛋白质技术手册</a><br />
<strong>其他相关书籍购买</strong><br />
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		<title>《漫画生物化学》[PDF]</title>
		<link>http://www.91bio.com/comic-biochemistry-pdf/</link>
		<comments>http://www.91bio.com/comic-biochemistry-pdf/#comments</comments>
		<pubDate>Wed, 25 Apr 2012 06:52:53 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[有趣]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[生物化学]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646041</guid>
		<description><![CDATA[推荐： 快快跟随漫画中的可爱人物，加入到精彩有趣的故事情节中来吧。 生物化学并不像你想象的那样难以接近，我们的身体中每天就都在上演着生物化学的戏码！ 原来我们每天所吃的食物是经过了这样的过程才给我们提供了精力…… 我们为什么要呼吸，为什么说这样的减肥方式是错误的…… 血型又是什么东西，普通大米和糯米到底有什么不同…… 读完这本有趣的漫画书，你会发现不仅仅收获了知识，而且明白了健康的重要性和保持健康的方法。收获多多，尽在《漫画生物化学》…… 内容简介： 你对自己身体中所发生的各种化学反应了解吗？有没有想到过美丽和健康的密码就藏在自己的身体当中呢？就让这本 《漫画生物化学》揭开我们身体内部的秘密吧！这本世界上最简单的生物化学教科书通过漫画式的情景说明，让你边看故事边学知识，每读完一篇就能理解一个概 念，每篇末还附有文字说明，只要阅读一下这些有趣的漫画故事，你将能在最短的时间内成为生物化学方面的达人！ 有趣的故事情节、时尚的漫画人物造型、细致的内容讲解定能给你留下深刻的印象，让你看过忘不了。通过这种轻松的阅读学习，读者可以掌握生物化学的常识。本书也可以作为广大青少年的生物化学知识读本。 下载： ed2k: [漫画生物化学].（日）武村政春　著.扫描版.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="shengwuhuaxue" src="http://image-7.verycd.com/dbb3e4581baa5b2104bd4ddcfb854048103676%28600x%29/thumb.jpg" alt="" width="600" height="824" /></p>
<p><strong>推荐：</strong><br />
快快跟随漫画中的可爱人物，加入到精彩有趣的故事情节中来吧。<br />
生物化学并不像你想象的那样难以接近，我们的身体中每天就都在上演着生物化学的戏码！<br />
原来我们每天所吃的食物是经过了这样的过程才给我们提供了精力……<br />
我们为什么要呼吸，为什么说这样的减肥方式是错误的……<br />
血型又是什么东西，普通大米和糯米到底有什么不同……<br />
读完这本有趣的漫画书，你会发现不仅仅收获了知识，而且明白了健康的重要性和保持健康的方法。收获多多，尽在《漫画生物化学》……</p>
<p><strong></strong><strong>内容简介：</strong><br />
你对自己身体中所发生的各种化学反应了解吗？有没有想到过美丽和健康的密码就藏在自己的身体当中呢？就让这本 《漫画生物化学》揭开我们身体内部的秘密吧！这本世界上最简单的生物化学教科书通过漫画式的情景说明，让你边看故事边学知识，每读完一篇就能理解一个概 念，每篇末还附有文字说明，只要阅读一下这些有趣的漫画故事，你将能在最短的时间内成为生物化学方面的达人！<br />
有趣的故事情节、时尚的漫画人物造型、细致的内容讲解定能给你留下深刻的印象，让你看过忘不了。通过这种轻松的阅读学习，读者可以掌握生物化学的常识。本书也可以作为广大青少年的生物化学知识读本。</p>
<p><strong>下载：</strong></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E6%BC%AB%E7%94%BB%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6%5D.%EF%BC%88%E6%97%A5%EF%BC%89%E6%AD%A6%E6%9D%91%E6%94%BF%E6%98%A5%E3%80%80%E8%91%97.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|41588924|259c64858c23e01b23872fda231411b1|h=oblx3y4jkdxfhhpmw7bp46nnosrfci2d|/">[漫画生物化学].（日）武村政春　著.扫描版.pdf</a></span><br />
</p></p>
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		<item>
		<title>引物设计软件Primer Premier 6.0</title>
		<link>http://www.91bio.com/primer-design-software-primer-is-the-premier-6-0/</link>
		<comments>http://www.91bio.com/primer-design-software-primer-is-the-premier-6-0/#comments</comments>
		<pubDate>Wed, 25 Apr 2012 05:40:49 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[primer]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[引物设计]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646036</guid>
		<description><![CDATA[Primer Premier是大名顶顶的引物设计软件，用来帮助研究人员设计最适合引物的应用软件利用它的高级引物搜索引物数据库巢式引物设计引物编辑和分析等功能可以设计出有高效扩增能力的理想引物也可以设计出用于扩增长达50kb以上的PCR产物的引物序列，由加拿大的Premier公司开发的专业用于PCR或测序引物以及杂交探针的设计，评估的软件，和Plasmid Premier2.02一起是该公司推出的最新的软件产品。其主要界面同样也是分为序列编辑窗口（Genetank），引物设计窗口（Primer Design），酶切分析窗口（Restriction Sites）和纹基分析窗口（Motif）。 说明: 解密方法一、在Win.ini中把vspace=DU改为vspace=PU便可以使用全部功能（没试过）。 解密方法二、下载特别文件。 使用方法：安装好软件后，首次进入软件界面，会有一个窗口，点窗体右侧的“Active Product”弹出注册界面，可以看到机器码；运行注册机，在注册机左侧输入机器码，点生成可得到注册码；输入注册码，OK！ 下载地址1：为官方软件下载，demo版13M；地址2为修订版，2.97M。两个所不同的是：官方版第一次运行有一个注册步骤，也就是填一些Eamil和名字等等的问题；而第二个是去掉了注册步骤。 注册机在两个版的软件上都注册成功！注意看我截下来的软件图片：注册成功后已不再有“Active Product”一项。 附：Primer Premier 6破解方法 安装Primer Premier 6，（比如你放到D盘）解压crack，看里面有一个crack的txt文件，打开，按照上面的说明来操作： 1.把crack这整个压缩包剪切到 这个目录下： D:\Program Files\Primer Premier 6.0\http\Dwww.premierbiosoft.com\P80\DMIUpdater\DMPP\DM600 2.然后从电脑的“开始”中找到运行，或直接按“windows+R”，输入cmd，打开dos系统 3.输入d: 回车 4.然后输入（鼠标右键粘贴） cd D:\Program Files\Primer Premier 6.0\http\Dwww.premierbiosoft.com\P80\DMIUpdater\DMPP\DM600 回车 5.再输入“java -jar patcher.jar”回车 下载 破解文件下载：CR_Primer Premier 6.]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.bio-soft.net/pcr/primer.JPG" alt="primer" /><br />
Primer Premier是大名顶顶的引物设计软件，用来帮助研究人员设计最适合引物的应用软件利用它的高级引物搜索引物数据库巢式引物设计引物编辑和分析等功能可以设计出有高效扩增能力的理想引物也可以设计出用于扩增长达50kb以上的PCR产物的引物序列，由加拿大的Premier公司开发的专业用于PCR或测序引物以及杂交探针的设计，评估的软件，和Plasmid Premier2.02一起是该公司推出的最新的软件产品。其主要界面同样也是分为序列编辑窗口（Genetank），引物设计窗口（Primer Design），酶切分析窗口（Restriction Sites）和纹基分析窗口（Motif）。<br />
<strong>说明:</strong><br />
解密方法一、在Win.ini中把vspace=DU改为vspace=PU便可以使用全部功能（没试过）。<br />
解密方法二、下载特别文件。<br />
使用方法：安装好软件后，首次进入软件界面，会有一个窗口，点窗体右侧的“Active Product”弹出注册界面，可以看到机器码；运行注册机，在注册机左侧输入机器码，点生成可得到注册码；输入注册码，OK！<br />
下载地址1：为官方软件下载，demo版13M；地址2为修订版，2.97M。两个所不同的是：官方版第一次运行有一个注册步骤，也就是填一些Eamil和名字等等的问题；而第二个是去掉了注册步骤。<br />
注册机在两个版的软件上都注册成功！注意看我截下来的软件图片：注册成功后已不再有“Active Product”一项。<br />
<strong>附：Primer Premier 6破解方法</strong><br />
安装Primer Premier 6，（比如你放到D盘）解压crack，看里面有一个crack的txt文件，打开，按照上面的说明来操作：<br />
1.把crack这整个压缩包剪切到 这个目录下：<br />
D:\Program Files\Primer Premier 6.0\http\Dwww.premierbiosoft.com\P80\DMIUpdater\DMPP\DM600<br />
2.然后从电脑的“开始”中找到运行，或直接按“windows+R”，输入cmd，打开dos系统<br />
3.输入d: 回车<br />
4.然后输入（鼠标右键粘贴）<br />
cd D:\Program Files\Primer Premier 6.0\http\Dwww.premierbiosoft.com\P80\DMIUpdater\DMPP\DM600 回车<br />
5.再输入“java -jar patcher.jar”回车<br />
<strong>下载<br />
<a href='http://www.onlinedown.net/soft/51547.htm' target='_blank' class='icon-button download-icon'><span class='et-icon'><span>站外下载</span></span></a><div class="clear"></div> </strong></p>
<p><strong><a href="http://www.91bio.com/wp-content/uploads/2012/04/CR_Primer-Premier-6..rar">破解文件下载：CR_Primer Premier 6.</a></strong></p>
]]></content:encoded>
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		<title>全美经典-分子和细胞生物学PDF</title>
		<link>http://www.91bio.com/the-nations-classic-molecular-and-cell-biology-pdf/</link>
		<comments>http://www.91bio.com/the-nations-classic-molecular-and-cell-biology-pdf/#comments</comments>
		<pubDate>Wed, 25 Apr 2012 01:14:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[生物书籍]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=646028</guid>
		<description><![CDATA[简介 本书是“全美经典学习指导系列”之一。自1953年DNA的双螺旋结构提出以来，生物学在分子水平上飞速发展。如今，这方面的教材往往包罗万象，但如此之 多的内容，对初学者而言是非常困难的。本书对分子和细胞生物学领域进行了简明的概括，为初学者进入高级分子生物学课程提供了必要的准备。本书以启发性问题 的方式介绍基本内容，以对具体问题给出的答案介绍每个概念。本书力图提出重要的并令人感兴趣的问题，以及提供一些基本合理的答案。在这些令人感兴趣的问题 之后是各种类型的复习题，这些复习题可用于自我测试，以此来评估对本书掌握的程度；也可使学生对这种形式的考试有所准备。 本书主要供生命科学相关专业的本科二年级及更高年级的学生学习参考，也适用于相关专业的研究生和科研人员参考使用，同时也有助于对分子和细胞生物学感兴趣但是缺少专业基础知识的人了解这一学科。 相关书籍购买]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="细胞分子" src="http://www.chemdown.cn/uploadfile/2010/0825/20100825011225547.jpg" alt="" width="356" height="516" /></p>
<p><strong>简介</strong></p>
<p>本书是“全美经典学习指导系列”之一。自1953年DNA的双螺旋结构提出以来，生物学在分子水平上飞速发展。如今，这方面的教材往往包罗万象，但如此之 多的内容，对初学者而言是非常困难的。本书对分子和细胞生物学领域进行了简明的概括，为初学者进入高级分子生物学课程提供了必要的准备。本书以启发性问题 的方式介绍基本内容，以对具体问题给出的答案介绍每个概念。本书力图提出重要的并令人感兴趣的问题，以及提供一些基本合理的答案。在这些令人感兴趣的问题 之后是各种类型的复习题，这些复习题可用于自我测试，以此来评估对本书掌握的程度；也可使学生对这种形式的考试有所准备。<br />
本书主要供生命科学相关专业的本科二年级及更高年级的学生学习参考，也适用于相关专业的研究生和科研人员参考使用，同时也有助于对分子和细胞生物学感兴趣但是缺少专业基础知识的人了解这一学科。</p>
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		<title>Antiviral Methods and Protocols</title>
		<link>http://www.91bio.com/antiviral-methods-and-protocols/</link>
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		<pubDate>Wed, 25 Apr 2012 01:03:24 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[抗病毒方法及操作手册 Experienced scientists describe-in an easily-followed format-their state-of-the-art techniques for evaluating antiviral compounds. The assays described include systems for investigating drugs used against herpesviruses, hepatitis viruses, human immunodeficiency viruses, human papillomaviruses, and influenza viruses. These well-tested methods range from cellular assays to some of the most up-to-date molecular approaches for identifying compounds that are active [...]]]></description>
			<content:encoded><![CDATA[<p><img src="http://img03.taobaocdn.com/bao/uploaded/i3/T1QD0ZXjBiXXbRgDwS_010243.jpg_310x310.jpg" alt="Antiviral Methods and Protocols" /><br />
<strong>抗病毒方法及操作手册</strong><br />
Experienced scientists describe-in an easily-followed format-their state-of-the-art techniques for evaluating antiviral compounds. The assays described include systems for investigating drugs used against herpesviruses, hepatitis viruses, human immunodeficiency viruses, human papillomaviruses, and influenza viruses. These well-tested methods range from cellular assays to some of the most up-to-date molecular approaches for identifying compounds that are active against viral enzymes and the development of viral resistance against drugs currently in use. Timely and comprehensive, Antiviral Methods and Protocols offers today&#8217;s researchers in academia, clinical departments, and the pharmaceutical industry the powerful, reproducible, and novel methods needed to evaluate compounds effective against both acute and chronic infections.</p>
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		<title>DNAMAN7.0 破解全功能版下载</title>
		<link>http://www.91bio.com/dnaman7-0-crack-the-full-version-download/</link>
		<comments>http://www.91bio.com/dnaman7-0-crack-the-full-version-download/#comments</comments>
		<pubDate>Tue, 24 Apr 2012 08:09:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[电脑软件]]></category>
		<category><![CDATA[DNA]]></category>
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		<guid isPermaLink="false">http://www.91bio.com/?p=646021</guid>
		<description><![CDATA[『功能简介』 DNAMAN 是美国 Lynnon Biosoft 公司开发的高度集成化的分子生物学综合应用软件，可以用于多序列比对、PCR 引物设计、限制性酶切分析、质粒绘图、蛋白质分析等，几乎囊括了所有日常核酸、蛋白质序列的分析工作。 该软件功能强大、操作简单，是所有生命科学工作者、研究人员所必备的工具，强烈推荐使用！ 『特别说明』 本英文版为全功能版，免序列号，支持 Win7 系统，直接安装后运行主程序即可使用，主程序默认在 C:\Program File\DNAMAN 目录中。 为避免升级后程序功能失效，已禁用程序升级功能。]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.raindy.org/blog/attachments/DNAMAN7snapshot.jpg" alt="DNAMAN" /><br />
『功能简介』<br />
DNAMAN 是美国 Lynnon Biosoft 公司开发的高度集成化的分子生物学综合应用软件，可以用于多序列比对、PCR 引物设计、限制性酶切分析、质粒绘图、蛋白质分析等，几乎囊括了所有日常核酸、蛋白质序列的分析工作。<br />
该软件功能强大、操作简单，是所有生命科学工作者、研究人员所必备的工具，强烈推荐使用！<br />
『特别说明』<br />
本英文版为全功能版，免序列号，支持 Win7 系统，直接安装后运行主程序即可使用，主程序默认在 C:\Program File\DNAMAN 目录中。<br />
为避免升级后程序功能失效，已禁用程序升级功能。</p>
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		<title>DNA分析软件AnnHyb</title>
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		<pubDate>Tue, 24 Apr 2012 07:57:37 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[对短DNA序列，它可进行补体序列生成、融合温度预测、GC百分含量计算、分子量计算、摩尔消光系数计算等功能。增加了许多功能，包括序列检索、注释、编辑，格式转换，限制酶分析、翻译、序列查找、反序与补序、序列统计、ORF查找、寡序列分析、探针分析等等，是一个有用而方便的小工具。 &#160;]]></description>
			<content:encoded><![CDATA[<p><img src="http://bioinformatics.org/annhyb/screenshots/main_sequence.png" alt="AnnHyb" width="604" height="452" /><br />
对短DNA序列，它可进行补体序列生成、融合温度预测、GC百分含量计算、分子量计算、摩尔消光系数计算等功能。增加了许多功能，包括序列检索、注释、编辑，格式转换，限制酶分析、翻译、序列查找、反序与补序、序列统计、ORF查找、寡序列分析、探针分析等等，是一个有用而方便的小工具。</p>
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		<title>《分子克隆实验指南》(上下册)(第3版)[PDF]</title>
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		<pubDate>Tue, 24 Apr 2012 06:08:13 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[《分子克隆实验指南》的前两版以其无克匹敌的声誉，在近20年的时间里一直被作为分子生物学实验的经典参考书。在第三版中，作者对图书内容进行了完全的升级，修订了实验的每条方案，增加了大量新的材料，拓宽了它涉及的领域，内容丰富而详细，使其具有用于学习遗传学、分子细胞生物学、发育生物学、微生物学、神经科学和免疫学等科学的重要指导和参考价值。《分子克隆实验指南 第三版（上、下册）》具有先进性、实用性、权威性的特点，是生命科学实验室内当之无愧的“圣经”。 《分子克隆实验指南 第三版（上、下册）》可供生物学、医药卫生，以及农、林、牧等方面有关的科研、教学与技术人员参考。 ed2k: 分子克隆指南（上）.pdf ed2k: 分子克隆指南（下）.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://img35.ddimg.cn/54/2/8684235-1_e.jpg" alt="分子" width="328" height="328" /><br />
《分子克隆实验指南》的前两版以其无克匹敌的声誉，在近20年的时间里一直被作为分子生物学实验的经典参考书。在第三版中，作者对图书内容进行了完全的升级，修订了实验的每条方案，增加了大量新的材料，拓宽了它涉及的领域，内容丰富而详细，使其具有用于学习遗传学、分子细胞生物学、发育生物学、微生物学、神经科学和免疫学等科学的重要指导和参考价值。《分子克隆实验指南 第三版（上、下册）》具有先进性、实用性、权威性的特点，是生命科学实验室内当之无愧的“圣经”。<br />
《分子克隆实验指南 第三版（上、下册）》可供生物学、医药卫生，以及农、林、牧等方面有关的科研、教学与技术人员参考。</p>
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		<title>《RNA世界》中文版PDF</title>
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		<pubDate>Tue, 24 Apr 2012 05:56:44 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[《RNA世界》一书是目前国内外最为权威、最为经典和最为全面的唯一一本RNA领域的专著，具有国际水平。该书涵盖了整个RNA领域，具有系统性。第三版 又增加了RNA领域的最新进展－RNA-蛋白质相互作用、snRNP、snoRNP、RNAi、microRNA和noncodingRNA等内容，使该 书内容更加丰富。《RNA世界》一书是一本适合所有的对RNA领域感兴趣的读者，同时又具有一定的深度的专著，适合于用作大学生、研究生的教科书，以及科 研人员的参考书。《RNA世界》一书的翻译出版将填补国内RNA领域专著稀缺的空白，将对增加大学生和科研人员对RNA的认识，促进国内RNA研究具有重 大意义。]]></description>
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<p>《RNA世界》一书是目前国内外最为权威、最为经典和最为全面的唯一一本RNA领域的专著，具有国际水平。该书涵盖了整个RNA领域，具有系统性。第三版 又增加了RNA领域的最新进展－RNA-蛋白质相互作用、snRNP、snoRNP、RNAi、microRNA和noncodingRNA等内容，使该 书内容更加丰富。《RNA世界》一书是一本适合所有的对RNA领域感兴趣的读者，同时又具有一定的深度的专著，适合于用作大学生、研究生的教科书，以及科 研人员的参考书。《RNA世界》一书的翻译出版将填补国内RNA领域专著稀缺的空白，将对增加大学生和科研人员对RNA的认识，促进国内RNA研究具有重 大意义。</p>
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		<title>《基因X》(Lewin&#8217;s Genes X)英文版[PDF]</title>
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		<pubDate>Tue, 24 Apr 2012 03:41:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[内容介绍 分子生物学与分子遗传学领域正经历着日新月异的变化，每天都会出现新的数据，那些热门的研究进程，过去每隔数年才会出现新的见解和看法，现在只要几周或几个月。在过去几十年里，对广大教学者来说，Lewin的《基因》是一本十分优秀的教材，该书对分子生物学和分子遗传学进行了精彩的论述，内容涵盖了基因的结构、序列、组织和表达。最新版的Lewin《基因X》，拥有一支崭新的知识渊博的作者队伍，21位科学家根据各自的专业研究特长，对书中内容进行了修订和更新，以保证《基因X》是本领域最新颖全面的教材。《基因x》在内容上增加了一些新的章节，结构也进行了一些调整，使得全书各个主题在排列上更加富有逻辑性。另外许多章节也重新命名，和内容更加相符。新版中还包含了一些新的教学特色，便于学生在阅读《基因X》过程中更好地学习；增加一个在线学习导航，学生可以使用它对关键内容进行自我测试。 新版特色 ·全新的第3章——分子生物学和基因工程方法，详细介绍了分子生物学实验技术的概念和实践。 ·新插入的第8章——基因组进化，对于早期版本分散在各章节中的相关材料做了整合、扩展和更新，并介绍了一些新进展。 ·第22章——mRNA的稳定性和定位，完全更新并重写，以包含更多的前沿内容。 ·第30章——调控RNA和小RNA，特别引入了RNAi通路的相关内容。 ·大量崭新的精美插图反映了相关领域的新进展，尤其是基闪组结构和功能、表观遗传学，以及原核生物中非编码和小RNA的调控。 ed2k: [基因X].(Lewin's.Genes.X).Jocelyn.E.Krebs,Elliott.S.Goldstein,Stephen.T.Kilpatrick.扫描版.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="基因10" src="http://i-7.vcimg.com/2a2de6d6304656542412fdebfd1a57aa81136%28600x%29/thumb.jpg" alt="" width="334" height="428" /><br />
内容介绍</p>
<p>分子生物学与分子遗传学领域正经历着日新月异的变化，每天都会出现新的数据，那些热门的研究进程，过去每隔数年才会出现新的见解和看法，现在只要几周或几个月。在过去几十年里，对广大教学者来说，Lewin的《基因》是一本十分优秀的教材，该书对分子生物学和分子遗传学进行了精彩的论述，内容涵盖了基因的结构、序列、组织和表达。最新版的Lewin《基因X》，拥有一支崭新的知识渊博的作者队伍，21位科学家根据各自的专业研究特长，对书中内容进行了修订和更新，以保证《基因X》是本领域最新颖全面的教材。《基因x》在内容上增加了一些新的章节，结构也进行了一些调整，使得全书各个主题在排列上更加富有逻辑性。另外许多章节也重新命名，和内容更加相符。新版中还包含了一些新的教学特色，便于学生在阅读《基因X》过程中更好地学习；增加一个在线学习导航，学生可以使用它对关键内容进行自我测试。</p>
<p>新版特色<br />
·全新的第3章——分子生物学和基因工程方法，详细介绍了分子生物学实验技术的概念和实践。<br />
·新插入的第8章——基因组进化，对于早期版本分散在各章节中的相关材料做了整合、扩展和更新，并介绍了一些新进展。<br />
·第22章——mRNA的稳定性和定位，完全更新并重写，以包含更多的前沿内容。<br />
·第30章——调控RNA和小RNA，特别引入了RNAi通路的相关内容。<br />
·大量崭新的精美插图反映了相关领域的新进展，尤其是基闪组结构和功能、表观遗传学，以及原核生物中非编码和小RNA的调控。</p>
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<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E5%9F%BA%E5%9B%A0X%5D.%28Lewin%27s.Genes.X%29.Jocelyn.E.Krebs%2CElliott.S.Goldstein%2CStephen.T.Kilpatrick.%E6%89%AB%E6%8F%8F%E7%89%88.pdf|226839145|4b4f05967c931798401e2853053f3aaa|h=y6p7dzwz4nnp23dsmwyy2hifsfohihee|/">[基因X].(Lewin's.Genes.X).Jocelyn.E.Krebs,Elliott.S.Goldstein,Stephen.T.Kilpatrick.扫描版.pdf</a></span><br />
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		<title>小鼠胚胎操作实验手册（原著第3版）下载</title>
		<link>http://www.91bio.com/mouse-embryonic-operating-laboratory-manual-original-3rd-edition-download/</link>
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		<pubDate>Mon, 23 Apr 2012 12:47:28 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[内容简介 《小鼠胚胎操作实验手册》由著名的美国冷泉港实验室出版社（Cold Spring Harbor Laboratory Press）出版，是其系列经典实验指南之一。自第一版至今已至少有15年了。这本书对哺乳动物胚操作人员具有重要的参考价值。 本书的第三版是由一个全新的作者群体重新组织编写而成的。书中描述了最新的小鼠胚胎操作技术，包括胚胎干细胞介导的遗传操作、嵌合体制作、克隆、辅助生殖技术（含胞质内单精子注射）、配子和胚胎冷冻保存、全胚培养系统、着床后胚胎的点穿孔和基因表达分析等。书中描述了这些技术应用的背景信息。第三版中对前版描述的小鼠发育遗传学部分和利用重组DNA技术研究哺乳动物胚胎发育部分的内容也进行了重新组织和更新。 《小鼠胚胎操作实验手册》（第三版）不仅提供了小鼠胚胎操作的详细技术方案，也包含了相关的理论，是从事小鼠发育生物学和遗传学、医学、实验动物学、胚胎工程研究人员一本必读的工具书。 小鼠胚胎操作实验手册(第三版，首页-262）.pdf 小鼠胚胎操作实验手册(第三版，263-尾页）2.pdf 小鼠胚胎操作实验手册（原著第3版）&#124;X]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="小鼠" src="http://img36.ddimg.cn/86/17/9104126-1_e.jpg" alt="" width="500" height="500" /></p>
<h4>内容简介</h4>
<div id="content_text">《小鼠胚胎操作实验手册》由著名的美国冷泉港实验室出版社（Cold Spring Harbor Laboratory Press）出版，是其系列经典实验指南之一。自第一版至今已至少有15年了。这本书对哺乳动物胚操作人员具有重要的参考价值。<br />
本书的第三版是由一个全新的作者群体重新组织编写而成的。书中描述了最新的小鼠胚胎操作技术，包括胚胎干细胞介导的遗传操作、嵌合体制作、克隆、辅助生殖技术（含胞质内单精子注射）、配子和胚胎冷冻保存、全胚培养系统、着床后胚胎的点穿孔和基因表达分析等。书中描述了这些技术应用的背景信息。第三版中对前版描述的小鼠发育遗传学部分和利用重组DNA技术研究哺乳动物胚胎发育部分的内容也进行了重新组织和更新。<br />
《小鼠胚胎操作实验手册》（第三版）不仅提供了小鼠胚胎操作的详细技术方案，也包含了相关的理论，是从事小鼠发育生物学和遗传学、医学、实验动物学、胚胎工程研究人员一本必读的工具书。</div>
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<a href='http://ishare.iask.sina.com.cn/f/20700284.html?w=MTYxODczODg4NQ%3D%3D' target='_blank'>小鼠胚胎操作实验手册(第三版，263-尾页）2.pdf</a><br />
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		<title>Roche分子生物学实验手册第三版下载（Roche+Quick+Solution+3rd）</title>
		<link>http://www.91bio.com/roche-molecular-biology-lab-manual-3rd-edition-download-roche-the-quick-the-solution-3-rd/</link>
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		<pubDate>Mon, 23 Apr 2012 12:08:03 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[Roche分子生物学实验手册第三版下载（Roche+Quick+Solution+3rd），英文版下载，内容包括： 1，Working with DNA 2,Working with RNA 3, Working with Proteins 4, Working with Cells 5, Preparing Buffers and Media]]></description>
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Roche分子生物学实验手册第三版下载（Roche+Quick+Solution+3rd），英文版下载，内容包括：<br />
1，Working with DNA<br />
2,Working with RNA<br />
3, Working with Proteins<br />
4, Working with Cells<br />
5, Preparing Buffers and Media</p>
<a href='http://ishare.iask.sina.com.cn/f/18503497.html?w=MTYxODczODg4NQ%3D%3D' target='_blank'&gt;Roche分子生物学实验手册第三版（Roche+Quick+Solution+3rd）.pdf' target='_blank' class='small-button smallblue'><span>下载地址</span></a><div class="clear"></div>
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		<title>王镜岩《生物化学第三版》下载</title>
		<link>http://www.91bio.com/wang-j-biochemistry-third-edition-download/</link>
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		<pubDate>Mon, 23 Apr 2012 09:20:53 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<description><![CDATA[《生物化学（上）》共40章，上册为第1～18章，包括糖类、脂质、蛋白质、核酸、酶、维生素和辅酶、抗生素、激素和生物膜等。下册为第19-40章，包括代谢总论、生物氧化、糖代谢、脂质代谢、蛋白质分解及氨基酸代谢、核酸的降解与核苷酸代谢、核酸的生物合成、蛋白质的生物合成、物质跨膜运输、生物固氮和光合作用等。每章都附有提要和习题，书后附有生物化学常用名词英汉对照、名词缩写、索引等，以便读者学习。《生物化学（上）》吸收了生物化学国际、国内的最新进展，内容丰富，图文并茂，章节仍按“先静态、后动态”组织编排，符合国内的教学习惯，便于教师教学使用和学生自学。 《生物化学》（下）是教育部“高等教育面向21世纪教学内容和课程体系改革计划”项目研究成果，是教育部推荐的“面向21世纪课程教材”，同时也是“九五”国家级重点教材。全书共40章，上册为第1～18章，包括糖类、脂质、蛋白质、核酸、酶、维生素和辅酶、抗生素、激素和生物膜等。下册为第19-40章，包括代谢总论、生物氧化、糖代谢、脂质代谢、蛋白质分解及氨基酸代谢、核酸的降解与核苷酸代谢、核酸的生物合成、蛋白质的生物合成、物质跨膜运输、生物固氮和光合作用等。每章都附有提要和习题，书后附有生物化学常用名词英汉对照、名词缩写、索引等，以便读者学习。《生物化学（下）》吸收了生物化学国际、国内的最新进展，内容丰富，图文并茂，章节仍按“先静态、后动态”组织编排，符合国内的教学习惯，便于教师教学使用和学生自学。 ed2k: [生物化学.第二版].Biochemistry.I.pdf ed2k: [生物化学.第二版].Biochemistry.II.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="生物化学" src="http://img.yeedou.com/images/02/079/4425079/5112179.jpg" alt="" width="290" height="383" /></p>
<p>《生物化学（上）》共40章，上册为第1～18章，包括糖类、脂质、蛋白质、核酸、酶、维生素和辅酶、抗生素、激素和生物膜等。下册为第19-40章，包括代谢总论、生物氧化、糖代谢、脂质代谢、蛋白质分解及氨基酸代谢、核酸的降解与核苷酸代谢、核酸的生物合成、蛋白质的生物合成、物质跨膜运输、生物固氮和光合作用等。每章都附有提要和习题，书后附有生物化学常用名词英汉对照、名词缩写、索引等，以便读者学习。《生物化学（上）》吸收了生物化学国际、国内的最新进展，内容丰富，图文并茂，章节仍按“先静态、后动态”组织编排，符合国内的教学习惯，便于教师教学使用和学生自学。 《生物化学》（下）是教育部“高等教育面向21世纪教学内容和课程体系改革计划”项目研究成果，是教育部推荐的“面向21世纪课程教材”，同时也是“九五”国家级重点教材。全书共40章，上册为第1～18章，包括糖类、脂质、蛋白质、核酸、酶、维生素和辅酶、抗生素、激素和生物膜等。下册为第19-40章，包括代谢总论、生物氧化、糖代谢、脂质代谢、蛋白质分解及氨基酸代谢、核酸的降解与核苷酸代谢、核酸的生物合成、蛋白质的生物合成、物质跨膜运输、生物固氮和光合作用等。每章都附有提要和习题，书后附有生物化学常用名词英汉对照、名词缩写、索引等，以便读者学习。《生物化学（下）》吸收了生物化学国际、国内的最新进展，内容丰富，图文并茂，章节仍按“先静态、后动态”组织编排，符合国内的教学习惯，便于教师教学使用和学生自学。</p>
<p><a href='http://ishare.iask.sina.com.cn/f/11882642.html' target='_blank' class='small-button smallgreen'><span>下载地址1</span></a><div class="clear"></div> <a href='http://dl.dbank.com/c0nc3hwbbk' target='_blank' class='small-button smallgreen'><span>下载地址2</span></a><div class="clear"></div></p>
<p><p class="el-s-wrapper"><span class="el-s-linkline">ed2k: <a class="el-s-link" href="ed2k://|file|%5B%E7%94%9F%E7%89%A9%E5%8C%96%E5%AD%A6.%E7%AC%AC%E4%BA%8C%E7%89%88%5D.Biochemistry.I.pdf|14634158|77e1e32965d2ede2448a31a40a15408d|h=k2trzyvi6ecsaffqhfgzwkijar7hafu4|/">[生物化学.第二版].Biochemistry.I.pdf</a></span><br />
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		<item>
		<title>疫苗关键技术详解(原著第二版)</title>
		<link>http://www.91bio.com/vaccine-key-technologies-detailed-the-second-version-of-the-original/</link>
		<comments>http://www.91bio.com/vaccine-key-technologies-detailed-the-second-version-of-the-original/#comments</comments>
		<pubDate>Mon, 23 Apr 2012 09:08:15 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[vaccine]]></category>
		<category><![CDATA[免费下载]]></category>
		<category><![CDATA[疫苗]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645990</guid>
		<description><![CDATA[内容简介 自本书的第一版发行以来，在疫苗研究的相关内容如细菌基因组学、抗原特异性T细胞定量技术、疫苗载体的基因操作技术、免疫反应相关的自然调控分子的应用以及DNA疫苗学等方面均有了很大的进展。因此，新版专门扩充增加几个新的章节，如“活病毒疫苗载体”、“减毒细菌疫苗”、“免疫调节因子”、“MHC?多肽四聚体复合物”、“利用基因分析对基因候选株的鉴定”。另外，书中的每章都增补了自第一版以来疫苗学相关领域中所出现的最新方法。本书结构完整，由以下3方面内容构成：①在应用特定技术研制疫苗方面的细节描述，包括利用基因操作技术对病毒或细菌进行减毒制备、载体制备、灭活毒素制备以及合成肽疫苗的制备和佐剂疫苗的制备；②对疫苗剂型和递送系统以及免疫反应评价方面进行了更为全面的技术描述；③在几个章节中，还对疫苗的规模化生产、疫苗的质量保证、临床试验等进行了全面的讨论，以便于为读者提供相关的背景知识。总之，通过这些对疫苗研发的综合讨论，本书应该能为那些致力于研究制备改进的或是新的疫苗的人们提供有价值的相关信息。 目录 1　疫苗概述 2　利用温度敏感突变技术制备的疫苗 3　活病毒载体：具有复制缺陷特性的重组腺病毒的构建 4　活病毒载体：痘苗病毒 5　活病毒载体：西门利启森林病毒 6　减毒沙门菌表达外源抗原的技术 7　乳酸菌用于异源性抗原的表达和递送 8　合成肽 9　细菌毒素的遗传脱毒 10　多糖结合疫苗的制备 11　实验性疫苗的佐剂配方 12　质粒DNA疫苗中联合使用免疫调节剂 13　微囊疫苗抗原 14　疫苗的冻干剂型：当前的趋势 15　黏膜免疫刺激 如果您需要经常查看次数，请购买纸质正版图书,当当网购买链接]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="疫苗" src="http://img35.ddimg.cn/40/25/9226345-1_e.jpg" alt="" width="499" height="500" /></p>
<p>内容简介<br />
自本书的第一版发行以来，在疫苗研究的相关内容如细菌基因组学、抗原特异性T细胞定量技术、疫苗载体的基因操作技术、免疫反应相关的自然调控分子的应用以及DNA疫苗学等方面均有了很大的进展。因此，新版专门扩充增加几个新的章节，如“活病毒疫苗载体”、“减毒细菌疫苗”、“免疫调节因子”、“MHC?多肽四聚体复合物”、“利用基因分析对基因候选株的鉴定”。另外，书中的每章都增补了自第一版以来疫苗学相关领域中所出现的最新方法。本书结构完整，由以下3方面内容构成：①在应用特定技术研制疫苗方面的细节描述，包括利用基因操作技术对病毒或细菌进行减毒制备、载体制备、灭活毒素制备以及合成肽疫苗的制备和佐剂疫苗的制备；②对疫苗剂型和递送系统以及免疫反应评价方面进行了更为全面的技术描述；③在几个章节中，还对疫苗的规模化生产、疫苗的质量保证、临床试验等进行了全面的讨论，以便于为读者提供相关的背景知识。总之，通过这些对疫苗研发的综合讨论，本书应该能为那些致力于研究制备改进的或是新的疫苗的人们提供有价值的相关信息。<br />
目录<br />
1　疫苗概述<br />
2　利用温度敏感突变技术制备的疫苗<br />
3　活病毒载体：具有复制缺陷特性的重组腺病毒的构建<br />
4　活病毒载体：痘苗病毒<br />
5　活病毒载体：西门利启森林病毒<br />
6　减毒沙门菌表达外源抗原的技术<br />
7　乳酸菌用于异源性抗原的表达和递送<br />
8　合成肽<br />
9　细菌毒素的遗传脱毒<br />
10　多糖结合疫苗的制备<br />
11　实验性疫苗的佐剂配方<br />
12　质粒DNA疫苗中联合使用免疫调节剂<br />
13　微囊疫苗抗原<br />
14　疫苗的冻干剂型：当前的趋势<br />
15　黏膜免疫刺激</p>
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<p>如果您需要经常查看次数，请购买纸质正版图书,当当网购买链接<br />
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		</item>
		<item>
		<title>各种生物类眼中体</title>
		<link>http://www.91bio.com/eyes-of-the-body-of-a-variety-of-biological-class/</link>
		<comments>http://www.91bio.com/eyes-of-the-body-of-a-variety-of-biological-class/#comments</comments>
		<pubDate>Mon, 23 Apr 2012 08:31:35 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物]]></category>
		<category><![CDATA[眼中体]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645975</guid>
		<description><![CDATA[“眼中体”是2012年流行的一种说话方式，以图文并茂的形式诙谐地描述自己正在从事的某个职业或角色，在父母、朋友、恋人、路人等各种角度“眼中”的形象。找生物汇总一些网络上热门的关于生物类的“眼中体” 1.科学工作者（找生物以前分享过，这次稍微翻译一下） 2 生物老师 3 生物学女博士 还有一个版本 4 农学专业学生 5 各类生物学 继续南大版 继续 再继续分子生物学家 再继续 再再继续 生物学博士 &#160;]]></description>
			<content:encoded><![CDATA[<p>“眼中体”是2012年流行的一种说话方式，以图文并茂的形式诙谐地描述自己正在从事的某个<a href="http://baike.baidu.com/view/58824.htm" target="_blank">职业</a>或<a href="http://baike.baidu.com/view/60371.htm" target="_blank">角色</a>，在父母、朋友、恋人、路人等各种角度“眼中”的形象。找生物汇总一些网络上热门的关于生物类的“眼中体”</p>
<p>1.科学工作者（找生物以前分享过，这次稍微翻译一下）</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/368831798.jpg"><img class="aligncenter size-medium wp-image-645976" title="368831798" src="http://www.91bio.com/wp-content/uploads/2012/04/368831798-300x300.jpg" alt="" width="300" height="300" /></a></p>
<p>2 生物老师</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/5f564c3djw1dq5k6egva4j.jpg"><img class="aligncenter size-medium wp-image-645977" title="5f564c3djw1dq5k6egva4j" src="http://www.91bio.com/wp-content/uploads/2012/04/5f564c3djw1dq5k6egva4j-300x166.jpg" alt="" width="300" height="166" /></a>3 生物学女博士</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/67224605jw1dq66htedltj.jpg"><img class="aligncenter size-full wp-image-645978" title="67224605jw1dq66htedltj" src="http://www.91bio.com/wp-content/uploads/2012/04/67224605jw1dq66htedltj.jpg" alt="" width="440" height="550" /></a></p>
<p>还有一个版本</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/14j9u5.jpg"><img class="aligncenter size-large wp-image-645983" title="14j9u5" src="http://www.91bio.com/wp-content/uploads/2012/04/14j9u5-183x1024.jpg" alt="" width="183" height="1024" /></a></p>
<p>4 农学专业学生</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/6a54f82cjw1dq4hkem5isj.jpg"><img class="aligncenter size-large wp-image-645979" title="6a54f82cjw1dq4hkem5isj" src="http://www.91bio.com/wp-content/uploads/2012/04/6a54f82cjw1dq4hkem5isj-239x1024.jpg" alt="" width="239" height="1024" /></a>5 各类生物学</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/73a45b1ftw1dqp7u58x3rj.jpg"><img class="aligncenter size-large wp-image-645980" title="73a45b1ftw1dqp7u58x3rj" src="http://www.91bio.com/wp-content/uploads/2012/04/73a45b1ftw1dqp7u58x3rj-208x1024.jpg" alt="" width="208" height="1024" /></a></p>
<p>继续南大版</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/81f83b93gw1dqnppd57vlj.jpg"><img class="aligncenter size-large wp-image-645981" title="81f83b93gw1dqnppd57vlj" src="http://www.91bio.com/wp-content/uploads/2012/04/81f83b93gw1dqnppd57vlj-164x1024.jpg" alt="" width="164" height="1024" /></a>继续<a href="http://www.91bio.com/wp-content/uploads/2012/04/972c88d7tw1dqk134dk0rj.jpg"><img class="aligncenter size-large wp-image-645982" title="972c88d7tw1dqk134dk0rj" src="http://www.91bio.com/wp-content/uploads/2012/04/972c88d7tw1dqk134dk0rj-224x1024.jpg" alt="" width="224" height="1024" /></a></p>
<p>再继续分子生物学家</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/18-14-06-82-161.jpg"><img class="aligncenter size-full wp-image-645984" title="18-14-06-82-161" src="http://www.91bio.com/wp-content/uploads/2012/04/18-14-06-82-161.jpg" alt="" width="440" height="320" /></a></p>
<p>再继续</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/18-14-35-38-161.jpg"><img class="aligncenter size-full wp-image-645985" title="18-14-35-38-161" src="http://www.91bio.com/wp-content/uploads/2012/04/18-14-35-38-161.jpg" alt="" width="440" height="272" /></a>再再继续</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/405cb802jw1dq734z8440j.jpg"><img class="aligncenter size-full wp-image-645986" title="405cb802jw1dq734z8440j" src="http://www.91bio.com/wp-content/uploads/2012/04/405cb802jw1dq734z8440j.jpg" alt="" width="440" height="301" /></a></p>
<p>生物学博士</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2012/04/62a1a62bjw1dq5oylrnjej.jpg"><img class="aligncenter size-full wp-image-645987" title="62a1a62bjw1dq5oylrnjej" src="http://www.91bio.com/wp-content/uploads/2012/04/62a1a62bjw1dq5oylrnjej.jpg" alt="" width="349" height="2178" /></a></p>
<p>&nbsp;</p>
]]></content:encoded>
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		</item>
		<item>
		<title>DNA复制之歌（DNA Replication Song）</title>
		<link>http://www.91bio.com/song-of-dna-replication-dna-replication-song/</link>
		<comments>http://www.91bio.com/song-of-dna-replication-dna-replication-song/#comments</comments>
		<pubDate>Sat, 21 Apr 2012 07:45:51 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645957</guid>
		<description><![CDATA[一首关于DNA复制的歌曲，采用动画的形式形象的展示DNA复制过程，歌曲根据后街男孩的”I Want It That Way.”改编，还有助于记忆哦。 歌曲： Deoxyribonucleic acid Is made of two strands Which twist into a double helix So then the strands come apart Nitrogen bases &#8211; they start To unzip by DNA helicase 2 H-Bonds! Between adenine and thymine 3 H-Bonds! Between cytosine and guanine (but) They&#8217;re weak bonds! The sugar-phosphate form the [...]]]></description>
			<content:encoded><![CDATA[<p><embed src="http://player.youku.com/player.php/sid/XMzUzODEzOTMy/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed><br />
一首关于DNA复制的歌曲，采用动画的形式形象的展示DNA复制过程，歌曲根据后街男孩的”I Want It That Way.”改编，还有助于记忆哦。<br />
歌曲：<br />
Deoxyribonucleic acid Is made of two strands Which twist into a double helix So then the strands come apart Nitrogen bases &#8211; they start To unzip by DNA helicase 2 H-Bonds! Between adenine and thymine 3 H-Bonds! Between cytosine and guanine (but) They&#8217;re weak bonds! The sugar-phosphate form the strongest bond (called) Phosphodiester bonds DNA polymerase builds the new Strand from the 5&#8242; to 3&#8242; direction 2 H-Bonds! Between adenine and thymine 3 H-Bonds! Between cytosine and guanine (but) They&#8217;re weak bonds! The sugar-phosphate form the strongest bond (called) Phosphodiester bonds Now I can see that it&#8217;s replicating In a way that&#8217;s most, interesting (yeah!) No matter the distance the leading strand Is followed by the lagging one! Finally, the ligase seals up all the breaks A new, a new, a new DNA&#8230;.. AND IT STARTS AGAIN Oh how I love Biology It&#8217;s better than Chemistry And next time I have to go pee I know What&#8217;s happening inside of me DNA! it has the code that holds all my genes DNA! it&#8217;s much more simpler than what it seems DNA! and now that I know more Biology I can say what&#8217;s happening inside of me Now I know what&#8217;s happening inside of me</p>
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		</item>
		<item>
		<title>Simple Western-blot之歌</title>
		<link>http://www.91bio.com/the-simple-song-of-the-western-blot/</link>
		<comments>http://www.91bio.com/the-simple-song-of-the-western-blot/#comments</comments>
		<pubDate>Thu, 19 Apr 2012 23:18:53 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[western-blot]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[蛋白电泳]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645955</guid>
		<description><![CDATA[介绍一种新型的超简单的Western-blot方法，号称远离烦恼，不使用肮脏的胶，没有转印设备，没有污点，没有照相设备，没有人为分析！]]></description>
			<content:encoded><![CDATA[<p><embed src="http://player.youku.com/player.php/sid/XMzgzNjM5OTY4/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed><br />
介绍一种新型的超简单的Western-blot方法，号称远离烦恼，不使用肮脏的胶，没有转印设备，没有污点，没有照相设备，没有人为分析！</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓app生物应用之实验室定时器</title>
		<link>http://www.91bio.com/andrews-app-biological-applications-laboratory-timer/</link>
		<comments>http://www.91bio.com/andrews-app-biological-applications-laboratory-timer/#comments</comments>
		<pubDate>Thu, 19 Apr 2012 04:03:43 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[实验室app]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645953</guid>
		<description><![CDATA[还记得揣着多道的定时器在实验室忙活的情景不？现在手机的定时提醒不在话下，不管是自带的闹钟还是第三方的app都能够满足实验室族的要求，今天找生物推荐一款安卓的实验室定时器，是否有几分神似呢，请看图片 免费版的LabTimer &#8211; 一个可配置的四通道定时器/秒表方便地跟踪同步的实验进行了优化。 在某些设备上，从休眠模式唤醒的电话报警可能会延迟几秒钟。 下载1：前往Google Play下载中心下载  下载2：安集市场下载]]></description>
			<content:encoded><![CDATA[<p>还记得揣着多道的定时器在实验室忙活的情景不？现在手机的定时提醒不在话下，不管是自带的闹钟还是第三方的app都能够满足实验室族的要求，今天找生物推荐一款安卓的实验室定时器，是否有几分神似呢，请看图片</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>截图</span></a><div class="clear"></div>
<div><img title="Lab Timer" src="https://lh3.ggpht.com/ArOJ39nZlWFlG9ud8Tn1W0RJT4PNCR70mGsJyc4GRvEWFUOK4lokZ-cPKQ9DXr3tTTmx=h230" alt="" width="182" height="328" data-baseurl="https://lh3.ggpht.com/ArOJ39nZlWFlG9ud8Tn1W0RJT4PNCR70mGsJyc4GRvEWFUOK4lokZ-cPKQ9DXr3tTTmx" /><img title="Lab Timer" src="https://lh6.ggpht.com/WMpz6ZIPojaKkRjUlJLgx8LkZWu0S0UI1c8HgawINxHmz6DbPrv9BEbKzjz_OuzWQA=h230" alt="" width="187" height="333" data-baseurl="https://lh6.ggpht.com/WMpz6ZIPojaKkRjUlJLgx8LkZWu0S0UI1c8HgawINxHmz6DbPrv9BEbKzjz_OuzWQA" /></div>
<div></div>
<div><a href='#' target='_blank' class='small-button smallgreen'><span>简介</span></a><div class="clear"></div></div>
<div>免费版的LabTimer &#8211; 一个可配置的四通道定时器/秒表方便地跟踪同步的实验进行了优化。</div>
<div><a href='#' target='_blank' class='small-button smallgreen'><span>备注</span></a><div class="clear"></div></div>
<div>在某些设备上，从休眠模式唤醒的电话报警可能会延迟几秒钟。</div>
<div><a href='#' target='_blank' class='small-button smallgreen'><span>下载地址</span></a><div class="clear"></div></div>
<div>下载1：<a href="https://play.google.com/store/apps/details?id=com.JSanders.LabTimerSE&amp;feature=search_result#?t=W251bGwsMSwxLDEsImNvbS5KU2FuZGVycy5MYWJUaW1lclNFIl0." target="_blank">前往Google Play下载中心下载</a>  下载2：<a href="http://apk.angeeks.com/soft/146299.html" target="_blank">安集市场下载</a></div>
]]></content:encoded>
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		<title>苹果app生物应用之摩尔计算器</title>
		<link>http://www.91bio.com/apple-app-biological-applications-moore-calculator/</link>
		<comments>http://www.91bio.com/apple-app-biological-applications-moore-calculator/#comments</comments>
		<pubDate>Wed, 18 Apr 2012 07:38:04 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[app]]></category>
		<category><![CDATA[Apple]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645950</guid>
		<description><![CDATA[找生物继续分享有关手机/pad的生物应用app，本次带来的是Sigma-Aldrich出品 的摩尔浓度计算器，不过比较遗憾的是只用Apple版本，并无android版本的，希望以后能够登录android平台。 Sigma-Aldrich 的摩尔浓度计算器是用来帮助化学实验室工作者配制各种化学溶液的 实用小工具。 1.可根据您所提供的酸碱溶液的名称,密度、分子量、质量分数、需要配制的最终摩尔浓度及体积,快速准确地计算出浓酸碱标准溶液的用量。 2.可根据您指定的摩尔浓度和溶液体积快速准确地计算出所需的溶质质量。 3.可根据标准溶液的摩尔量和您所需的最终溶液的摩尔和体积快速准确地计算出所需标准试剂的用量。 1.用于计算常用市售酸或碱的摩尔和当量浓度,并可在对话框中自动显示相应标准溶液的密度、分子量和质量分数的值。 2. 用户也可根据所购买产品的批号,输入其质检证书上标明的密度和质量分数的值 3. 在酸碱计算结果页面上,您可以点击进入Sigma-Aldrich公司的网站或手机移动版网站, 查询相关的酸或碱产品。 4.在使用摩尔计算器过程中,您可用下拉菜单选择您所需的摩尔浓度单位(毫摩尔、微摩尔、皮摩尔和飞摩尔)和体积单位(公升、毫升、微升)。 5. 摩尔计算器 iPad 版还支持将酸碱溶液配制步骤保存下来或者通过 Email 发送。 当量计算假设是H +或OH -的离子反应。浓度为56.6%的氢氧化铵相当于28%的氨(NH3)。 应用程序同时提供在线网页版本，有需要的可以移步使用！ Apple iTunes下载链接]]></description>
			<content:encoded><![CDATA[<p>找生物继续分享有关手机/pad的生物应用app，本次带来的是Sigma-Aldrich出品 的摩尔浓度计算器，不过比较遗憾的是只用Apple版本，并无android版本的，希望以后能够登录android平台。</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>简介</span></a><div class="clear"></div>
<p>Sigma-Aldrich 的摩尔浓度计算器是用来帮助化学实验室工作者配制各种化学溶液的 实用小工具。</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>功能</span></a><div class="clear"></div>
<p>1.可根据您所提供的酸碱溶液的名称,密度、分子量、质量分数、需要配制的最终摩尔浓度及体积,快速准确地计算出浓酸碱标准溶液的用量。</p>
<p>2.可根据您指定的摩尔浓度和溶液体积快速准确地计算出所需的溶质质量。</p>
<p>3.可根据标准溶液的摩尔量和您所需的最终溶液的摩尔和体积快速准确地计算出所需标准<a href="http://www.bioon.com.cn/reagent/" target="_blank">试剂</a>的用量。</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>特点</span></a><div class="clear"></div>
<p>1.用于计算常用市售酸或碱的摩尔和当量浓度,并可在对话框中自动显示相应标准溶液的密度、分子量和质量分数的值。</p>
<p>2. 用户也可根据所购买产品的批号,输入其质检证书上标明的密度和质量分数的值</p>
<p>3. 在酸碱计算结果页面上,您可以点击进入Sigma-Aldrich公司的网站或手机移动版网站, 查询相关的酸或碱产品。</p>
<p>4.在使用摩尔计算器过程中,您可用下拉菜单选择您所需的摩尔浓度单位(毫摩尔、微摩尔、皮摩尔和飞摩尔)和体积单位(公升、毫升、微升)。</p>
<p>5. 摩尔计算器 iPad 版还支持将酸碱溶液配制步骤保存下来或者通过 Email 发送。</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>截图</span></a><div class="clear"></div>
<div>
<div>
<div></div>
</div>
<div>
<div>
<div>
<div><img src="http://a2.mzstatic.com/us/r1000/026/Purple/ac/96/7e/mzl.hhtqruep.320x480-75.jpg" alt="iPhone Screenshot 1" /></div>
</div>
<div><img src="http://a3.mzstatic.com/us/r1000/003/Purple/c3/56/e0/mzl.wpuejsmo.320x480-75.jpg" alt="iPhone Screenshot 2" /></div>
<div></div>
<div><a href='#' target='_blank' class='small-button smallgreen'><span>补充</span></a><div class="clear"></div></div>
<div>
<p>当量计算假设是H +或OH -的离子反应。浓度为56.6%的氢氧化铵相当于28%的氨(NH3)。</p>
<p>应用程序同时提供<a title="" href="http://www.sigmaaldrich.com/sigma-aldrich/errorpage.promo.html?targetPage=%2Fchemistry%2Fstockroom-reagents%2Flearning-center%2Ftechnical-library%2Fmolarity-calculator.html&amp;r=http%3A%2F%2Fwww.sigmaaldrich.com%3A4402%2Fmolarity" target="_blank">在线网页版本</a>，有需要的可以移步使用！</p>
<a href='#' target='_blank' class='small-button smallgreen'><span>下载</span></a><div class="clear"></div>
<p><a title="" href="http://itunes.apple.com/cn/app/mo-er-ji-suan-qi/id465490937?mt=8" target="_blank">Apple iTunes下载链接</a></p>
</div>
</div>
</div>
</div>
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		<title>生物实验室趣闻20120417</title>
		<link>http://www.91bio.com/biological-laboratory-anecdotes-20120417/</link>
		<comments>http://www.91bio.com/biological-laboratory-anecdotes-20120417/#comments</comments>
		<pubDate>Tue, 17 Apr 2012 03:29:40 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物有趣]]></category>
		<category><![CDATA[糗事]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645947</guid>
		<description><![CDATA[找生物分享自糗事百科的一篇糗文]]></description>
			<content:encoded><![CDATA[<p>找生物分享自<a href="http://www.qiushibaike.net/qiushi/2010/0126/3769.html" target="_blank">糗事百科</a>的一篇糗文</p>
<div class='et-box et-bio'>
					<div class='et-box-content'>
<p>1.猜猜这是谁的作品
有一节实验课是用准备好的培养基培养细菌。培养基都放在培养皿里，呈果冻状但是要硬一些。我们要做的就是用各种方法使培养基上带上细菌并培养一段时间，然 后观察细菌繁殖形成的菌落。可以用手指头在上面抹，也可以拔根头发放上去，还可以把唾液涂抹在上面，或者干脆什么也不做，开着盖儿让培养基暴露在空气里几 分钟。都处理好了之后盖好盖子，背面写名字送到培养室。
几天后我们来看结果，几个同学把全班的都取回来了，大家就随便在看也不管是谁的了。大多数人的培养基里面都是十几到几十个菌落。这时有人大吼，我k这谁的 啊！这么多！大家纷纷围上去一看，都发出惊叹。那培养基里的菌落只能用星罗棋布来形容，烧饼上的芝麻都没这么密！红的黄的白的粉的绿的各种颜色！刚才吼的 那人把培养皿翻过来一看，说：xxx，这不是你的吗？你咋整的？
xxx慢慢的说：我只是抖了抖我的衣服。。。
全体石化</p>
<p>2.流火
做微生物染色实验的时候，载玻片什么的都要消毒，就是泡在酒精里然后用镊子夹出来在火上烧一下。我夹出来一片载玻片，拿到酒精灯上一烧，酒精顿时燃起蓝色 的火苗。这时我犯了一个严重的错误，我把载玻片举起来了，还没等我反应过来，就看一股酒精带着火焰顺着镊子流到了我手上。。。嗷嗷那个惨叫啊。。。</p>
</div></div>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>实验室趣闻20120416</title>
		<link>http://www.91bio.com/laboratory-anecdotes-20120416/</link>
		<comments>http://www.91bio.com/laboratory-anecdotes-20120416/#comments</comments>
		<pubDate>Mon, 16 Apr 2012 03:27:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物有趣]]></category>
		<category><![CDATA[糗事]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645944</guid>
		<description><![CDATA[找生物分享自Madonna_lily童鞋的实验室糗事： 一、显微镜 前几天去生物实验室观察植物根尖的结构，我对好了光放好了玻片标本，但是视野里总是只有很奇怪的丝状的东西，纵切根尖的结构根本看不到。百般抓耳挠腮 之后我依然琢磨不出个所以然，急得我差点就拿起玻片标本使劲砸，看我着急上火的样子终于把老师召唤过来了。老师对着我的显微镜转悠来转悠去，怎么看怎么别 扭，然后他恍然大悟地说：“我说怎么那么别扭，原来你把显微镜放倒了啊。”本来应该是显微镜的镜臂朝向自己一方的，结果我刚好倒了个儿。这时我边上所有人 笑得一塌糊涂几乎快晕倒，而我则尴尬地真想以头抢地。记得上学期做实验我曾经把显微镜转来转去不知道怎么放，这么长时间过去了这毛病依旧没有改，老师已经 在逼我反思深省了，郁闷&#62;_&#60;。 二、玻片标本 今天上生物课观察木质茎的结构，所有人都拿着永久玻片标本看得不亦乐乎。说实话，真的很好看，颜色满鲜艳的，也很有层次感。但是有些人两眼盯着显微镜 不断地捣鼓来捣鼓去，半节课过去了还没看到物象，明明是下雨天天气冷，竟然连油汗都急出来了。有一男生因为看不到物象，抓耳挠腮地不断与粗准焦螺旋过不 去，把镜筒调上调下，结果因为他调节高度时没有盯着物镜，一不小心调节得太低，然后“啪”地一声，物镜下的玻片标本被压得粉碎。那男生立刻呆在那儿了，几 分钟后有了知觉才慌慌张张地去告诉老师。此时所有人皆为他祈祷早日超度，不过最终结果是物镜没太大损失，虽然标本是碎了，但他还是阳寿未尽啊，汗~ 三、细胞 记得上学期的时候有一节实验课，要求做人口腔上表皮细胞装片，所有人都拿着牙签在口腔内侧壁上拼命刮来刮去，然后做成临时装片。我像其他人一样，漱 口、取细胞、滴生理盐水、装片、染色，等到最后观察时发现标本里居然除了气泡之外什么都没有。然后，重新再取细胞，继续做装片，如此重复三遍之后依然竹篮 打水一场空。老师过来又重新帮我做了装片，还抱怨我生理盐水和碘液滴得太多，流出来会污染载物台，结果最后放在显微镜下一看依旧什么都没有-_-。老师说 可能是没取到细胞，然后把我扔到一边不管了，结果可怜的我就那样刮呀刮，直到最后感觉整个口腔内侧壁都要刮破了，依然没取到细胞，我欲哭无泪啊…… 四、解刨镜 解刨镜算是我最恨之入骨的东西之一，因为刚刚在几小时之前的生物课上，它还让我大丢颜面。这节课是要观察种子萌发时的胚，老师给每人发了颗黄豆要我们 放在解刨镜下观察。然后立刻有两个男生试图把黄豆放进嘴里，幸好老师及时发现*_*。结果我那台解刨镜的镜头安装不牢，以至于我以为解刨镜是要把镜头拿下 来，然后把黄豆放在载物台上用手拿镜头观察的。这样看了一会儿之后觉得不是事儿，偏偏这时老师走过来看见我的出格行为，然后把我劈头盖脸地训斥了一顿，让 我把镜头放到解刨镜上。莫名其妙地把镜头放回去，用手移动黄豆观察，老师又走过来劈头盖脸地训斥了我一顿，并问我说你没看到载物台上有可以用来移动标本的 装置么。我向上帝发誓，我真的没看到那个东西，这也要怪罪设计解刨镜的人，谁叫他把解刨镜设计成这个样，我这么聪明的人都不会用，还让所有人嘲笑我了一上 午，郁闷至极！ 其实，我就是一个笨蛋学生，做实验时迷迷糊糊的会把显微镜放反，该滴盐水时滴了碘酒，等到染色时又滴成生理盐水。不光我一个，还有很多人也像我一样迷迷糊糊，比如不小心压碎玻片标本，取细胞时取错了位置，变成了剔牙…… 痛并快乐着，糗并开心着，我们就是一群很笨蛋很迷糊的学生，在生物实验室嘿嘿傻笑，品味着别人的糗事带来的欢乐。 &#160;]]></description>
			<content:encoded><![CDATA[<p>找生物分享自<a href="http://madonna-lily.blog.sohu.com/">Madonna_lily</a>童鞋的实验室糗事：</p>
<p>
		<div class='author-shortcodes'>
			<div class='author-inner'>
				
			</div> <!-- .author-inner -->
		</div> <!-- .author-shortcodes --> 
		<div class='author-image'>
			<img src='http://www.91bio.com/wp-content/themes/HotNewspro/timthumb.php?src=&amp;w=57&amp;h=57&amp;zc=1' alt='' />
			<div class='author-overlay'></div>
		</div> <!-- .author-image --> 
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<p>一、显微镜</p>
<p>前几天去生物实验室观察植物根尖的结构，我对好了光放好了玻片标本，但是视野里总是只有很奇怪的丝状的东西，纵切根尖的结构根本看不到。百般抓耳挠腮 之后我依然琢磨不出个所以然，急得我差点就拿起玻片标本使劲砸，看我着急上火的样子终于把老师召唤过来了。老师对着我的显微镜转悠来转悠去，怎么看怎么别 扭，然后他恍然大悟地说：“我说怎么那么别扭，原来你把显微镜放倒了啊。”本来应该是显微镜的镜臂朝向自己一方的，结果我刚好倒了个儿。这时我边上所有人 笑得一塌糊涂几乎快晕倒，而我则尴尬地真想以头抢地。记得上学期做实验我曾经把显微镜转来转去不知道怎么放，这么长时间过去了这毛病依旧没有改，老师已经 在逼我反思深省了，郁闷&gt;_&lt;。</p>
<p>二、玻片标本</p>
<p>今天上生物课观察木质茎的结构，所有人都拿着永久玻片标本看得不亦乐乎。说实话，真的很好看，颜色满鲜艳的，也很有层次感。但是有些人两眼盯着显微镜 不断地捣鼓来捣鼓去，半节课过去了还没看到物象，明明是下雨天天气冷，竟然连油汗都急出来了。有一男生因为看不到物象，抓耳挠腮地不断与粗准焦螺旋过不 去，把镜筒调上调下，结果因为他调节高度时没有盯着物镜，一不小心调节得太低，然后“啪”地一声，物镜下的玻片标本被压得粉碎。那男生立刻呆在那儿了，几 分钟后有了知觉才慌慌张张地去告诉老师。此时所有人皆为他祈祷早日超度，不过最终结果是物镜没太大损失，虽然标本是碎了，但他还是阳寿未尽啊，汗~</p>
<p>三、细胞</p>
<p>记得上学期的时候有一节实验课，要求做人口腔上表皮细胞装片，所有人都拿着牙签在口腔内侧壁上拼命刮来刮去，然后做成临时装片。我像其他人一样，漱 口、取细胞、滴生理盐水、装片、染色，等到最后观察时发现标本里居然除了气泡之外什么都没有。然后，重新再取细胞，继续做装片，如此重复三遍之后依然竹篮 打水一场空。老师过来又重新帮我做了装片，还抱怨我生理盐水和碘液滴得太多，流出来会污染载物台，结果最后放在显微镜下一看依旧什么都没有-_-。老师说 可能是没取到细胞，然后把我扔到一边不管了，结果可怜的我就那样刮呀刮，直到最后感觉整个口腔内侧壁都要刮破了，依然没取到细胞，我欲哭无泪啊……</p>
<p>四、解刨镜</p>
<p>解刨镜算是我最恨之入骨的东西之一，因为刚刚在几小时之前的生物课上，它还让我大丢颜面。这节课是要观察种子萌发时的胚，老师给每人发了颗黄豆要我们 放在解刨镜下观察。然后立刻有两个男生试图把黄豆放进嘴里，幸好老师及时发现*_*。结果我那台解刨镜的镜头安装不牢，以至于我以为解刨镜是要把镜头拿下 来，然后把黄豆放在载物台上用手拿镜头观察的。这样看了一会儿之后觉得不是事儿，偏偏这时老师走过来看见我的出格行为，然后把我劈头盖脸地训斥了一顿，让 我把镜头放到解刨镜上。莫名其妙地把镜头放回去，用手移动黄豆观察，老师又走过来劈头盖脸地训斥了我一顿，并问我说你没看到载物台上有可以用来移动标本的 装置么。我向上帝发誓，我真的没看到那个东西，这也要怪罪设计解刨镜的人，谁叫他把解刨镜设计成这个样，我这么聪明的人都不会用，还让所有人嘲笑我了一上 午，郁闷至极！</p>
<p>其实，我就是一个笨蛋学生，做实验时迷迷糊糊的会把显微镜放反，该滴盐水时滴了碘酒，等到染色时又滴成生理盐水。不光我一个，还有很多人也像我一样迷迷糊糊，比如不小心压碎玻片标本，取细胞时取错了位置，变成了剔牙……</p>
<p>痛并快乐着，糗并开心着，我们就是一群很笨蛋很迷糊的学生，在生物实验室嘿嘿傻笑，品味着别人的糗事带来的欢乐。</p>
<p>&nbsp;</p>

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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>超萌实验室凡客体</title>
		<link>http://www.91bio.com/super-meng-laboratory-where-the-object/</link>
		<comments>http://www.91bio.com/super-meng-laboratory-where-the-object/#comments</comments>
		<pubDate>Wed, 11 Apr 2012 06:29:57 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645940</guid>
		<description><![CDATA[爱吸取溶液，也爱混匀溶液！爱盛装溶液，也爱搅拌PDMS！爱微流控，更爱翼翼君大发文章！我不是翼嫂子，我们是张翼君の实验用具~~~~ 亲！我们是张翼君专用哦！你不许动哦~~（改淘宝体了哦）]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="凡客体" src="http://fmn.rrimg.com/fmn065/20120404/1425/p_large_Vka8_3e950000674d1261.jpg" alt="" width="600" height="800" /></p>
<p>爱吸取溶液，也爱混匀溶液！爱盛装溶液，也爱搅拌PDMS！爱微流控，更爱翼翼君大发文章！我不是翼嫂子，我们是张翼君の实验用具~~~~</p>
<p>亲！我们是张翼君专用哦！你不许动哦~~（改淘宝体了哦）</p>
]]></content:encoded>
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		<slash:comments>4</slash:comments>
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		<item>
		<title>安卓&amp;苹果app生物应用之AKTA</title>
		<link>http://www.91bio.com/andrews-apple-app-biological-applications-of-the-akta/</link>
		<comments>http://www.91bio.com/andrews-apple-app-biological-applications-of-the-akta/#comments</comments>
		<pubDate>Tue, 10 Apr 2012 07:28:18 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[AKTA]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[苹果]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645936</guid>
		<description><![CDATA[找生物此前多分享安卓生物应用，而在另外一个阵营中苹果app里面的生物方面的应用更为丰富，应该说多数生物应用先推出的苹果app，后同时推出安卓平台的应用。以后找生物也会多介绍一些关于此类方面的文章。 好了，看一下生物科技领域大牛企业GE 公司推出的关于AKTA方面的app吧，同时有两个平台的。 ÄKTA 层析工艺开拓系统自1996 年推出以来，已广泛应用于蛋白、多肽、核酸等 领域的研究及生产。现在来自于GE Healthcare生命科学部推出推出Apps — ÄKTA Accessories，这是帮助您在生物学分离纯化中方便进行的系统平台，该平台与UNICORN软件一起使你的每一个纯化步骤更加方便操控。 该Apps将会帮助您快速选择正确的ÄKTA™配件(细管、收集器、柱夹、连接组件)，借助清晰的图片和具体介绍使您能识别正确的项目。该软件在离线的状态下也能正常运行。同时该软件还提供电邮功能将您选择的配件清单以邮件形式发送。 截图 快进入苹果Apple Store或者安卓系统的电子市场Google play中心，输入关键字“AKTA Accessories”，即可免费下载，方便您随时随地查询到ÄKTA™配件! &#160; &#160;]]></description>
			<content:encoded><![CDATA[<p>找生物此前多分享安卓生物应用，而在另外一个阵营中苹果app里面的生物方面的应用更为丰富，应该说多数生物应用先推出的苹果app，后同时推出安卓平台的应用。以后找生物也会多介绍一些关于此类方面的文章。</p>
<p>好了，看一下生物科技领域大牛企业GE 公司推出的关于AKTA方面的app吧，同时有两个平台的。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2012/03/akta.jpg" rel="example4"><img class="aligncenter" title="akta" src="http://www.bioku.net/wp-content/uploads/2012/03/akta.jpg" alt="" width="180" height="179" /></a></p>
<p>ÄKTA 层析工艺开拓系统自1996 年推出以来，已广泛应用于蛋白、多肽、核酸等 领域的研究及生产。现在来自于GE Healthcare生命科学部推出推出Apps — ÄKTA Accessories，这是帮助您在生物学分离纯化中方便进行的系统平台，该平台与UNICORN软件一起使你的每一个纯化步骤更加方便操控。</p>
<p>该Apps将会帮助您快速选择正确的ÄKTA™配件(细管、收集器、柱夹、连接组件)，借助清晰的图片和具体介绍使您能识别正确的项目。该软件在离线的状态下也能正常运行。同时该软件还提供电邮功能将您选择的配件清单以邮件形式发送。</p>
<p><strong>截图</strong></p>
<p><a href="http://www.bioku.net/wp-content/uploads/2012/03/1.jpg" rel="example4"><img class="aligncenter" title="1" src="http://www.bioku.net/wp-content/uploads/2012/03/1.jpg" alt="" width="320" height="480" /></a><br />
<a href="http://www.bioku.net/wp-content/uploads/2012/03/2.jpg" rel="example4"><img class="aligncenter" title="2" src="http://www.bioku.net/wp-content/uploads/2012/03/2.jpg" alt="" width="320" height="480" /></a><br />
<a href="http://www.bioku.net/wp-content/uploads/2012/03/3.jpg" rel="example4"><img class="aligncenter" title="3" src="http://www.bioku.net/wp-content/uploads/2012/03/3.jpg" alt="" width="320" height="480" /></a><br />
<a href="http://www.bioku.net/wp-content/uploads/2012/03/4.jpg" rel="example4"><img class="aligncenter" title="4" src="http://www.bioku.net/wp-content/uploads/2012/03/4.jpg" alt="" width="320" height="480" /></a><br />
<a href="http://www.bioku.net/wp-content/uploads/2012/03/5.jpg" rel="example4"><img class="aligncenter" title="5" src="http://www.bioku.net/wp-content/uploads/2012/03/5.jpg" alt="" width="320" height="480" /></a></p>
<div class='et-box et-download'>
					<div class='et-box-content'>下载方式</div></div>
<p>快进入苹果Apple Store或者安卓系统的电子市场Google play中心，输入关键字“AKTA Accessories”，即可免费下载，方便您随时随地查询到ÄKTA™配件!</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
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		<slash:comments>6</slash:comments>
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		<item>
		<title>推荐一款预防接种的安卓软件</title>
		<link>http://www.91bio.com/suggest-a-vaccination-andrews-software-and-and/</link>
		<comments>http://www.91bio.com/suggest-a-vaccination-andrews-software-and-and/#comments</comments>
		<pubDate>Tue, 03 Apr 2012 09:33:54 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[安卓生物]]></category>
		<category><![CDATA[疫苗]]></category>
		<category><![CDATA[预防接种]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645932</guid>
		<description><![CDATA[宝宝出生后，总是要打各种各样的疫苗，各种疫苗的接种程序不尽相同，记住疫苗接种的日期对于新生爸妈也是个大问题，试用手机管理软件，设置进行提醒是个不错的方法，此类小软件在Google市场上一搜有很多，多为英文版，其接种程序与国内也不太一样，找生物这次推荐一款符合国情的中文软件。 预防接种手册 (1.1) 以前找生物推荐过一款预防接种手册与此款不太一样，基本功能相似，选择哪个就看个人爱好了！ 软件介绍 1.预防接种手册定义了从婴儿出生到上学阶段所有应该接种的疫苗，包括年龄段，疫苗名称，种类（一类疫苗/二类疫苗），接种方式等 2.用户可以在疫苗接种项目上记录具体接种时间。 3.知识库里包括了疫苗接种的常见问题、注意事项等 软件截图]]></description>
			<content:encoded><![CDATA[<p>宝宝出生后，总是要打各种各样的疫苗，各种疫苗的接种程序不尽相同，记住疫苗接种的日期对于新生爸妈也是个大问题，试用手机管理软件，设置进行提醒是个不错的方法，此类小软件在Google市场上一搜有很多，多为英文版，其接种程序与国内也不太一样，找生物这次推荐一款符合国情的中文软件。<br />
<strong>预防接种手册 (1.1)</strong></p>
<p>以前找生物推荐过一款<a title="安卓手机疫苗应用" href="http://www.91bio.com/andrews-phone-vaccine-application/" target="_blank">预防接种手册</a>与此款不太一样，基本功能相似，选择哪个就看个人爱好了！</p>
<div>
<h3>软件介绍</h3>
<p>1.预防接种手册定义了从婴儿出生到上学阶段所有应该接种的疫苗，包括年龄段，疫苗名称，种类（一类疫苗/二类疫苗），接种方式等<br />
2.用户可以在疫苗接种项目上记录具体接种时间。<br />
3.知识库里包括了疫苗接种的常见问题、注意事项等</p>
<h3>软件截图</h3>
<p><a class="wpGallery mceItem" title="gallery" href="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261829280724.jpg" rel="prettyPhoto&lt;img src="><img src="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261829280724.jpg" alt="" width="200" height="300" /></a><a class="wpGallery mceItem" title="gallery" href="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261830172820.jpg" rel="prettyPhoto&lt;img src="><img src="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261830172820.jpg" alt="" width="200" height="300" /></a><a class="wpGallery mceItem" title="gallery" href="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261830316382.jpg" rel="prettyPhoto&lt;img src="><img src="http://cdn.image.market.hiapk.com/data/upload//2011/05_26/sy_201105261830316382.jpg" alt="" width="200" height="300" /></a></p>
<div class='et-box et-download'>
					<div class='et-box-content'><a href="http://static.apk.hiapk.com/html/2011/05/133948.html#!prettyPhoto/1/" target="_blank">点此下载</a></div></div>
</div>
]]></content:encoded>
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		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>实验室安全说唱Lab Safety Rap</title>
		<link>http://www.91bio.com/laboratory-safety-rap-lab-the-safety-rap/</link>
		<comments>http://www.91bio.com/laboratory-safety-rap-lab-the-safety-rap/#comments</comments>
		<pubDate>Thu, 29 Mar 2012 07:04:36 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室安全]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645929</guid>
		<description><![CDATA[看看一群大妈在实验室里关于实验室安全的说唱吧，挺有意思的！]]></description>
			<content:encoded><![CDATA[<p>看看一群大妈在实验室里关于实验室安全的说唱吧，挺有意思的！</p>
<p><embed src="http://player.youku.com/player.php/sid/XMzUzNzc3NDgw/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed></p>
]]></content:encoded>
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		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>安卓生物学应用之The Lazy Scientist</title>
		<link>http://www.91bio.com/atradius-biological-applications-of-the-lazy-scientist/</link>
		<comments>http://www.91bio.com/atradius-biological-applications-of-the-lazy-scientist/#comments</comments>
		<pubDate>Wed, 28 Mar 2012 07:37:43 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[ipad]]></category>
		<category><![CDATA[iPhone]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645925</guid>
		<description><![CDATA[The Lazy Scientist翻译为懒惰的科学家，是一个专门针对生物科学的应用，难道生物科学家就是懒惰吗？呵呵，不是这个意思了，在这里应该是作为助手帮您完成很多事情，有了这个助手的帮助你就可以变懒惰了（省事）！ This app is designed to make DNA codon lookups quick and easy, as well as translate entire sequences into their reverse, complement and reverse complement counterparts. There are 3 tools which can aid biologists三大工具: DNA to Amino Acid(DNA翻译成氨基酸） &#8211; Enter your DNA codons and the tool will show you the amino acid [...]]]></description>
			<content:encoded><![CDATA[<p>The Lazy Scientist翻译为懒惰的科学家，是一个专门针对生物科学的应用，难道生物科学家就是懒惰吗？呵呵，不是这个意思了，在这里应该是作为助手帮您完成很多事情，有了这个助手的帮助你就可以变懒惰了（省事）！</p>
<div class='et-box et-info'>
					<div class='et-box-content'>应用介绍（摘录）：</div></div>
<p>This app is designed to make <strong>DNA codon</strong> lookups quick and easy, as well as <strong>translate entire sequences into their reverse</strong>, complement and reverse complement counterparts.</p>
<p>There are<strong> 3 tools</strong> which can aid biologists三大工具:</p>
<p>DNA to Amino Acid(DNA翻译成氨基酸） &#8211; Enter your DNA codons and the tool will show you the amino acid chain and also allow you to choose the reverse, complement and reverse complement of the sequence.</p>
<p>DNA Codon Table（DNA密码表） &#8211; Easily and quickly look up the relevant DNA codons for each amino acid.</p>
<p>E Coli Back Translate（E Coli 翻译） &#8211; Enter an amino acid chain and see it&#8217;s DNA sequence based on its preferred codons.</p>
<div class='et-box et-info'>
					<div class='et-box-content'>应用截图：</div></div>
<div><img title="The Lazy Scientist" src="https://lh4.ggpht.com/YDudv94gGn7_UgPYpbmejgdnbCU6YO_QConH2fEyo0Zhblr6o6AzWKWprnpm1VlviQ=h230" alt="" data-height="230" data-width="154" data-baseurl="https://lh4.ggpht.com/YDudv94gGn7_UgPYpbmejgdnbCU6YO_QConH2fEyo0Zhblr6o6AzWKWprnpm1VlviQ" /><img title="The Lazy Scientist" src="https://lh3.ggpht.com/lepU6MTUGTfdHueW12RyFUv2Da8JLoI3US5tZ09AWi5HUhor1j_RKtbNOO6sD_ptw7o=h230" alt="" data-height="230" data-width="154" data-baseurl="https://lh3.ggpht.com/lepU6MTUGTfdHueW12RyFUv2Da8JLoI3US5tZ09AWi5HUhor1j_RKtbNOO6sD_ptw7o" /><img title="The Lazy Scientist" src="https://lh4.ggpht.com/jjc1ALk8TdSxFAJBtgJmbXpRDY4uzCcsTUG6CNtyFNRu89DSwNpd64lE8MRh9AW9GA=h230" alt="" data-height="230" data-width="154" data-baseurl="https://lh4.ggpht.com/jjc1ALk8TdSxFAJBtgJmbXpRDY4uzCcsTUG6CNtyFNRu89DSwNpd64lE8MRh9AW9GA" /></div>
<div><div class='et-box et-download'>
					<div class='et-box-content'>下载地址：前往<a href="https://play.google.com/store/apps/details?id=me.davegibson.appdna&amp;feature=search_result#?t=W251bGwsMSwxLDEsIm1lLmRhdmVnaWJzb24uYXBwZG5hIl0." target="_blank">Googleplay中心下载</a></div></div></div>
<div></div>
<div>同时这个也有iPhone/ipad版本的，基本功能都是一样的。</div>
<div>
<div><div class='et-box et-download'>
					<div class='et-box-content'>下载地址：前往<a href="http://itunes.apple.com/tw/app/id451122594?mt=8" target="_blank">Apple app中心下载</a></div></div></div>
<div></div>
</div>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓生物学应用之Axel Biolab Calculator</title>
		<link>http://www.91bio.com/andrews-biological-applications-axel-biolab-calculator/</link>
		<comments>http://www.91bio.com/andrews-biological-applications-axel-biolab-calculator/#comments</comments>
		<pubDate>Tue, 27 Mar 2012 02:11:03 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[生物应用]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645920</guid>
		<description><![CDATA[Axel biotech biolab calculator 是艾克索生物科技有限公司开发的生物科学研究用安卓应用，涵盖单位转换、溶液配置、细胞培养、实验室仪器讯息传递、分子量、数学统计等常用的实验室研究工具。Axel biolab calculator 设计之初衷在于节省研究者查询及计算之时间 , 之后加强其功能及撰写相关补充文件。例如单位换算所使用名称之源由在百宝箱之标准单位内容中说明；溶液配罝之公式则在化学计量中列出。而其他与生命科学相 关之基本知识（如基础实验方法、数学统计、细胞培养、讯息传递及实验室常备药品及基础仪器） , 则希望以最简要的方式来让初学者对生命科学有概略的印象。简单介绍下溶液配置部份功能 填入欲配置之溶液资讯（包含分子量、欲配置浓度（轻触单位名称可选择不同单位）及欲配置体积（轻触单位名称可选择不同单位）后 , 可按计算键得计算结果；并同时可存档记录名称及浓度。 进行上述动作时 , 亦可同时填入右方稀释浓度及体积 , 计算结果可同时得知欲配置化合物或药品之原液（stock solution) 所需重量 , 以及欲稀释溶液至目标浓度时所需之体积。 往右拖移溶液配置键可进入OD值及溶液稀释 , 可进行OD260吸收光读值之计算（dsDNA、RNA、ssDNA and single-　stranded oligonucleotide)之换算。 进入溶液稀释功能时 , 轻触单位键（预设为OD(A260)时 , 可切换OD260 及不同浓度计算之单位表示法（M、g/ml and unit/ml） , 来进行所需之溶液稀释方式。 其他还有很多丰富的功能自己研究看看了，功能还算丰富，是一个不错的实验室助手！ 前往google play中心下载，也可以在手机上的google软件市场搜索软件名称下载！]]></description>
			<content:encoded><![CDATA[<div>Axel biotech biolab calculator 是艾克索生物科技有限公司开发的生物科学研究用安卓应用，涵盖单位转换、溶液配置、细胞培养、实验室仪器讯息传递、分子量、数学统计等常用的实验室研究工具。Axel biolab calculator 设计之初衷在于节省研究者查询及计算之时间 , 之后加强其功能及撰写相关补充文件。例如单位换算所使用名称之源由在百宝箱之标准单位内容中说明；溶液配罝之公式则在化学计量中列出。而其他与生命科学相 关之基本知识（如基础实验方法、数学统计、细胞培养、讯息传递及实验室常备药品及基础仪器） , 则希望以最简要的方式来让初学者对生命科学有概略的印象。简单介绍下溶液配置部份功能<br />
填入欲配置之溶液资讯（包含分子量、欲配置浓度（轻触单位名称可选择不同单位）及欲配置体积（轻触单位名称可选择不同单位）后 , 可按计算键得计算结果；并同时可存档记录名称及浓度。<br />
进行上述动作时 , 亦可同时填入右方稀释浓度及体积 , 计算结果可同时得知欲配置化合物或药品之原液（stock solution) 所需重量 , 以及欲稀释溶液至目标浓度时所需之体积。<br />
往右拖移溶液配置键可进入OD值及溶液稀释 , 可进行OD260吸收光读值之计算（dsDNA、RNA、ssDNA and single-　stranded oligonucleotide)之换算。<br />
进入溶液稀释功能时 , 轻触单位键（预设为OD(A260)时 , 可切换OD260 及不同浓度计算之单位表示法（M、g/ml and unit/ml） , 来进行所需之溶液稀释方式。<br />
其他还有很多丰富的功能自己研究看看了，功能还算丰富，是一个不错的实验室助手！<br />
<div class='et-box et-download'>
					<div class='et-box-content'>下载地址</div></div> 前往<a href="https://play.google.com/store/apps/details?id=com.unitbyaxelbiotech&amp;feature=search_result#?t=W251bGwsMSwxLDEsImNvbS51bml0YnlheGVsYmlvdGVjaCJd" target="_blank">google play中心</a>下载，也可以在手机上的google软件市场搜索软件名称下载！</p>
</div>
<ul>
<li><a href="http://cdn5.droidmill.com/media/market-media/com.unitbyaxelbiotech_0.png"><img title="Axel Biolab Calculator" src="http://cdn5.droidmill.com/media/market-media/com.unitbyaxelbiotech_0.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_1.png"><img title="Axel Biolab Calculator" src="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_1.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn6.droidmill.com/media/market-media/com.unitbyaxelbiotech_2.png"><img title="Axel Biolab Calculator" src="http://cdn6.droidmill.com/media/market-media/com.unitbyaxelbiotech_2.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_3.png"><img title="Axel Biolab Calculator" src="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_3.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_4.png"><img title="Axel Biolab Calculator" src="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_4.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_5.png"><img title="Axel Biolab Calculator" src="http://cdn2.droidmill.com/media/market-media/com.unitbyaxelbiotech_5.png" alt="Axel Biolab Calculator" /></a></li>
<li><a href="http://cdn1.droidmill.com/media/market-media/com.unitbyaxelbiotech_6.png"><img title="Axel Biolab Calculator" src="http://cdn1.droidmill.com/media/market-media/com.unitbyaxelbiotech_6.png" alt="Axel Biolab Calculator" /></a></li>
</ul>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>实验室漫画20120323</title>
		<link>http://www.91bio.com/laboratory-comic-20120323/</link>
		<comments>http://www.91bio.com/laboratory-comic-20120323/#comments</comments>
		<pubDate>Fri, 23 Mar 2012 02:09:25 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645917</guid>
		<description><![CDATA[找生物-分享有趣实用生物资源、技巧！分享一侧关于实验室的漫画&#8211;惹怒你的实验室同事的几种行径，吼吼，各位童鞋可不要这样哦，反思一下，有木有啊？ 1. 弄乱公共区域 公共区域是大家的，特别是办公室，试验区域等，只是当做自己的，用品用过不归位，随意弄乱别人的东西，这个在实验室里可不受欢迎！ 2. 弄坏设备而没有标示或告诉别人 看配图，知道结果是多么的可怕了吧，如果发现设备损坏不能正常使用，一定要告诉管理人员或做好标示、告诉其他使用者、请求维修等。 3. 霸占仪器设备 贴上自己专用的标签，哈哈，酱紫是不好的，要知道其他人也是需要用的，还有记得写使用记录，让别人知道你在用或不在用。 4. 不讲卫生 哈哈，这个可是干生物的大忌吧，都成年人了不讲卫生怎么找对象啊，放之皆有理！ 5. 在公共区域大声放音乐 可别说是山寨机的神曲爱情买卖或者月亮之上再或者荷塘月色，就是您的爱疯也不要大声的放音乐好不好？ 6. 随意“借用”他人的试剂 这个找生物在以前还有提到，随意乱用别人的试剂，另一个人会疯的，各位童鞋您有没有又听到师兄/师姐在大喊谁用了我的TBS了？总不能真像找生物以前说过的采用试剂标签密码吧？ 7. 在餐厅冰箱是总留有剩饭或随意丢弃 介个嘛，自己看着办吧！ 8. 不参与小组汇报和总结 团队精神不可缺少啊，这么干老板也不同意了吧！ 9. 不使用实验室语言 行话？不是太明白，是说的来自多个国家的实验室成员吧! 10. 大声讲电话 公共区域问题，介个还是注意些，还有手机铃声咱也调小点吧！ PS：本文为找生物翻译文章，原文请查看http://blog.labguru.com/10-way-to-annoy-your-labmates/]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣实用生物资源、技巧！分享一侧关于实验室的漫画&#8211;惹怒你的实验室同事的几种行径，吼吼，各位童鞋可不要这样哦，反思一下，有木有啊？</p>
<p style="text-align: center;"><a href="http://www.91bio.com/wp-content/uploads/2012/03/Annoying-your-labmates-Biodata.png"><img class="aligncenter size-large wp-image-645918" title="Annoying-your-labmates-Biodata" src="http://www.91bio.com/wp-content/uploads/2012/03/Annoying-your-labmates-Biodata-492x1024.png" alt="" width="492" height="1024" /></a></p>
<p><strong>1. 弄乱公共区域</strong><br />
公共区域是大家的，特别是办公室，试验区域等，只是当做自己的，用品用过不归位，随意弄乱别人的东西，这个在实验室里可不受欢迎！</p>
<p><strong>2. 弄坏设备而没有标示或告诉别人</strong><br />
看配图，知道结果是多么的可怕了吧，如果发现设备损坏不能正常使用，一定要告诉管理人员或做好标示、告诉其他使用者、请求维修等。</p>
<p><strong>3. 霸占仪器设备</strong><br />
贴上自己专用的标签，哈哈，酱紫是不好的，要知道其他人也是需要用的，还有记得写使用记录，让别人知道你在用或不在用。</p>
<p><strong>4. 不讲卫生</strong><br />
哈哈，这个可是干生物的大忌吧，都成年人了不讲卫生怎么找对象啊，放之皆有理！</p>
<p><strong>5. 在公共区域大声放音乐</strong><br />
可别说是山寨机的神曲爱情买卖或者月亮之上再或者荷塘月色，就是您的爱疯也不要大声的放音乐好不好？</p>
<p><strong>6. 随意“借用”他人的试剂</strong><br />
这个找生物在以前还有提到，随意乱用别人的试剂，另一个人会疯的，各位童鞋您有没有又听到师兄/师姐在大喊谁用了我的TBS了？总不能真像找生物以前说过的采用<a title="生物实验室趣闻20120224" href="http://www.91bio.com/biological-laboratory-anecdotes-20120224/">试剂标签密码</a>吧？<br />
<strong>7. 在餐厅冰箱是总留有剩饭或随意丢弃</strong><br />
介个嘛，自己看着办吧！</p>
<p><strong>8. 不参与小组汇报和总结</strong><br />
团队精神不可缺少啊，这么干老板也不同意了吧！</p>
<p><strong>9. 不使用实验室语言</strong><br />
行话？不是太明白，是说的来自多个国家的实验室成员吧!</p>
<p><strong>10. 大声讲电话</strong><br />
公共区域问题，介个还是注意些，还有手机铃声咱也调小点吧！</p>
<p>PS：本文为找生物翻译文章，原文请查看http://blog.labguru.com/10-way-to-annoy-your-labmates/</p>
]]></content:encoded>
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		<slash:comments>10</slash:comments>
		</item>
		<item>
		<title>实验室趣闻20120319</title>
		<link>http://www.91bio.com/laboratory-anecdotes-20120319/</link>
		<comments>http://www.91bio.com/laboratory-anecdotes-20120319/#comments</comments>
		<pubDate>Mon, 19 Mar 2012 06:05:09 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645913</guid>
		<description><![CDATA[分享自小木虫的实验室趣闻两侧，原文见http://emuch.net/html/201112/3955197.html 此外还有精彩补充： asb347s：我们实验室就是好几个人用一个IP，网速慢的不行，多次跟老板反应都没有用，又一次老板要在实验室的电脑上传东西给别人，我师姐说她当时就想打开PPS，让老板也好好享受下实验室的慢网速:D zhshguan：我 和老板说买什么东西，他就会说个“no problem”， 不过有时候采购的小老板有时候会说“too expensive”， 还是大老板会做人，得罪人的事情都让下面的人做， 呵呵。 不过前几天，老板说今年有一个基金到期了还没有花完，让我赶紧采购，爽了一把，原来国外也有这一套，呵呵]]></description>
			<content:encoded><![CDATA[<p>分享自小木虫的实验室趣闻两侧，原文见http://emuch.net/html/201112/3955197.html</p>

		<div class='author-shortcodes'>
			<div class='author-inner'>
				 
		<div class='author-image'>
			<img src='http://www.91bio.com/wp-content/themes/HotNewspro/timthumb.php?src=pipi302@gmail.com&amp;w=57&amp;h=57&amp;zc=1' alt='' />
			<div class='author-overlay'></div>
		</div> <!-- .author-image --> 
		<div class='author-info'>
			
<p>1 今年大老板申请基金，中了。到账的时候发现少给了1欧，于是发信催债，最后账上又多给补了两万欧，大老板这个高兴逢人就得瑟</p>
<p>2 大老板比较抠门，平时开会的时候跟他说买点东西，他基本都是否决，能凑活就凑活用。前几天大老板亲自下实验室做了一天试验，作完以后就跟小老板说，实 验室真是该升级了，你负责买点东西ABCDEFG&#8230;&#8230;&#8230;  小老板说那得多花好几千欧其实可以凑活的，大老板说没事，买。我在旁边听着心里乐 疯了都:D。</p>
<p>&nbsp;</p>

		</div> <!-- .author-info --> 
			</div> <!-- .author-inner -->
		</div> <!-- .author-shortcodes -->
<p>此外还有精彩补充：</p>
<div><a href="http://emuch.net/bbs/space.php?uid=1176254" target="_blank">asb347s</a>：我们实验室就是好几个人用一个IP，网速慢的不行，多次跟老板反应都没有用，又一次老板要在实验室的电脑上传东西给别人，我师姐说她当时就想打开PPS，让老板也好好享受下实验室的慢网速:D</div>
<div>
<div><a href="http://emuch.net/bbs/space.php?uid=585349" target="_blank">zhshguan</a>：我 和老板说买什么东西，他就会说个“no problem”， 不过有时候采购的小老板有时候会说“too expensive”， 还是大老板会做人，得罪人的事情都让下面的人做， 呵呵。 不过前几天，老板说今年有一个基金到期了还没有花完，让我赶紧采购，爽了一把，原来国外也有这一套，呵呵</div>
</div>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>实验室趣闻20120314</title>
		<link>http://www.91bio.com/laboratory-anecdotes-20120314/</link>
		<comments>http://www.91bio.com/laboratory-anecdotes-20120314/#comments</comments>
		<pubDate>Wed, 14 Mar 2012 12:06:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室糗事]]></category>
		<category><![CDATA[有趣生物]]></category>

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		<description><![CDATA[找生物自从升级当爹后，没有太多的精力管理找生物网了，也有段时间没有更新，今天得闲还是分享些网络上的实验室趣闻、糗事吧，这个是来自荒原狼童鞋的糗事。]]></description>
			<content:encoded><![CDATA[<p>找生物自从升级当爹后，没有太多的精力管理找生物网了，也有段时间没有更新，今天得闲还是分享些网络上的实验室趣闻、糗事吧，这个是来自<a href="http://blog.sina.com.cn/s/blog_49dc77b7010009xd.html" target="_blank">荒原狼童鞋</a>的糗事。</p>

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			前些日子一天晚上，我和师兄一起在做实验。中途把样加好后，我们一起到休息室准备去放松一下。先要介绍下，我们实验室的休息室就在我老板的办公室里。（没办法，偶们穷啊，没有单独的休息室，所有平时都不大敢去休息室的）</p>
<div> <wbr>我 老板有个特点，就是特别的准时。当然这准时表现在两个方面，一是每天早上准时来上班，二是每天下午准时下班，晚上和周末一般都是不来的。所以我丝毫没有 任何忌讳，一边大声跟我师兄说着话，一边走进了老板的办公室。要知道本人平生嗓门就比较大，此时更是活脱一高音喇叭。当时办公室里我两外一个师兄和师姐正 忙着盯着各自的电脑，只见我老板平时的椅子上坐着一个人在埋头看着什么。我一看，这不是我同学wgy吗，嘿嘿，这小子还真是发狠啊。我正准备上去拍下他肩 膀打下招呼，才猛然发现自己手上还带着做实验的手套，这才作罢。这时我已经快走到了wgy的跟前，正要跟他说几句呢，发现我师姐在旁边拼命的使着眼色，憋 着笑的脸部都已经扭曲得变了形。乖乖，我这才发现原来坐着的不是别人，正是我老板！</wbr></div>
<div> <wbr> </wbr><wbr> </wbr><wbr> 原来我老板下班回去后，可能洗了澡，换了一件衣服。咋一看跟我那同学wgy的背影别说还真有那么的点神试。当时把我给惊得啊，这时旁边的师兄和师姐再也忍不住了，顿时哄然大笑。我脸都快凑过来了，亏得还比较灵机，就势喊了一句：“*老师好！”估计当时说得比哭还难听吧。</wbr></div>
<div> <wbr> </wbr><wbr> </wbr><wbr>就这样，这件事成了我们实验室好几天的笑料，直到现在我无论什么时候进我们休息室都不敢大声说话。</wbr></div>

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		<item>
		<title>又过了人生的一个坎</title>
		<link>http://www.91bio.com/over-the-life-of-a-ridge/</link>
		<comments>http://www.91bio.com/over-the-life-of-a-ridge/#comments</comments>
		<pubDate>Fri, 09 Mar 2012 08:01:34 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[杂谈]]></category>
		<category><![CDATA[产房]]></category>
		<category><![CDATA[怀孕]]></category>
		<category><![CDATA[新生儿]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645899</guid>
		<description><![CDATA[找生物有好长的一段时间没有更新了，迎来了人生的一大转折，十月的修炼（呵呵，主要是我老婆）升级成了“爹”。我家小龙女于3月6日的晚上急急忙忙的降临了这个世界，来过属于她的节日。 老婆从3月4日开始在医院待产（已过预产期2天），经过漫长的等待、羡慕嫉妒恨别人的阵痛、开始小幅度的假宫缩，但都趋于平静，漫漫~~~~~~~ 于入院的第二天晚上开始阵痛，个中滋味看的俺真是心痛，加之先前的B超检查并找了专家，说是宝宝个头比较大，相对与老婆的体型可能顺产比较困难，当时真想一咬牙就刨了！ 经过差不多16个小时的疼痛，15点50分进入了产房，于产房外的等待又是一个漫漫~~~~这两天住院的所见所闻，预期在产房可能需要6、7个小时甚至更长的时间，各种忐忑，18点半的时候，听到叫家属，当时心里一震以为需要剖腹，谁知却是已经生的信息，随之内心反而平静，短暂的平静随之而来的是阵阵的激动，当父亲了！拿着医生给的宝宝的血液样本连奔带跑送到了检验科，竟一时没有问宝宝的性别和体重，接着又是漫漫的等待了两个小时的观察处理时间，期间同事、领导也陆续的过来看望，各种调侃却抵不住内心的紧张，直到看到老婆从病房出来以及听到宝宝的哭声，这颗心才真正的平静下来，这时仔细的听医生说了下情况：宝宝是18点28分出生的，体重是3660g，小家伙脾气比较大，从出生就一直哭，声音那个洪亮！ 在大伙的帮助下转移了新的病房，认真的听着医生的嘱咐，当时听得挺清楚，却是感觉当时的记忆力是这么的差，之后又反反复复的询问了医生好几次！ 之后也就是检查喂奶喝水和换尿布了，水平也是日渐娴熟，对于宝宝的反应也慢慢了然于心，当然这也仅仅是个开始~~ 就在写这篇文章的时候，宝宝又开始哭闹了，检查了下是否大小便了，发现有些小便，更换了尿布，就在准备结束的时候，又听到了大便的声音，OMG，以后又会有什么好玩的事情呢，期待~~~ 期待宝宝的健康成长，感谢在此期待给予帮助的同事、领导、医生、父母以及好多热心网友的祝福！]]></description>
			<content:encoded><![CDATA[<p><img alt="" src="http://blog.whsyzx.com/UploadFiles/2008-1/11159693.jpg" title="新生" class="aligncenter" width="1024" height="768" /><br />
找生物有好长的一段时间没有更新了，迎来了人生的一大转折，十月的修炼（呵呵，主要是我老婆）升级成了“爹”。我家小龙女于3月6日的晚上急急忙忙的降临了这个世界，来过属于她的节日。<br />
老婆从3月4日开始在医院待产（已过预产期2天），经过漫长的等待、羡慕嫉妒恨别人的阵痛、开始小幅度的假宫缩，但都趋于平静，漫漫~~~~~~~<br />
于入院的第二天晚上开始阵痛，个中滋味看的俺真是心痛，加之先前的B超检查并找了专家，说是宝宝个头比较大，相对与老婆的体型可能顺产比较困难，当时真想一咬牙就刨了！<br />
经过差不多16个小时的疼痛，15点50分进入了产房，于产房外的等待又是一个漫漫~~~~这两天住院的所见所闻，预期在产房可能需要6、7个小时甚至更长的时间，各种忐忑，18点半的时候，听到叫家属，当时心里一震以为需要剖腹，谁知却是已经生的信息，随之内心反而平静，短暂的平静随之而来的是阵阵的激动，当父亲了！拿着医生给的宝宝的血液样本连奔带跑送到了检验科，竟一时没有问宝宝的性别和体重，接着又是漫漫的等待了两个小时的观察处理时间，期间同事、领导也陆续的过来看望，各种调侃却抵不住内心的紧张，直到看到老婆从病房出来以及听到宝宝的哭声，这颗心才真正的平静下来，这时仔细的听医生说了下情况：宝宝是18点28分出生的，体重是3660g，小家伙脾气比较大，从出生就一直哭，声音那个洪亮！<br />
在大伙的帮助下转移了新的病房，认真的听着医生的嘱咐，当时听得挺清楚，却是感觉当时的记忆力是这么的差，之后又反反复复的询问了医生好几次！<br />
之后也就是检查喂奶喝水和换尿布了，水平也是日渐娴熟，对于宝宝的反应也慢慢了然于心，当然这也仅仅是个开始~~<br />
就在写这篇文章的时候，宝宝又开始哭闹了，检查了下是否大小便了，发现有些小便，更换了尿布，就在准备结束的时候，又听到了大便的声音，OMG，以后又会有什么好玩的事情呢，期待~~~<br />
期待宝宝的健康成长，感谢在此期待给予帮助的同事、领导、医生、父母以及好多热心网友的祝福！</p>
]]></content:encoded>
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		<item>
		<title>基因的哲学</title>
		<link>http://www.91bio.com/philosophy-of-genes/</link>
		<comments>http://www.91bio.com/philosophy-of-genes/#comments</comments>
		<pubDate>Thu, 01 Mar 2012 03:40:39 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[基因]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645857</guid>
		<description><![CDATA[勤俭节约是美德 相对于真核生物（高等动植物），原核生物（细菌等）表现得非常节俭，这是与他的生存环境分不开的。真核生物生存能力强，有的能够自己选择环境，比如说动物。而原核动物就没有这么好的生存条件了，成天饱一顿饿一顿，运气好时飘到垃圾堆里饱餐一顿，运气不好就饿肚子吧。于是他不得不节俭起来，连对待决定自己遗传和生存的基因也毫不手软，能简则简。基因是由碱基对组成的，每种生物都有4个碱基，即A，T，C，G。而编码氨基酸要由3个碱基完成。就这样3个一组组成了遗传密码。我们就将基因比作一本书，书上的字全是又A，T，C，G四个中的3个组成的，如ATG就是“好”字。当然在读书的时候有由几十个字母组成的开头，提示下面开始读了。原核生物的书，在提示以后就是一口气读下去，连个标点符号都没有。而真核生物是读几个字，有一个标记在下面提示“后面的不读了”，当读到“我们重新开始读”的标记的时候再开始读。这样算下来原核生物的书就比真核生物的书薄多了。 相对于真核生物每2个编码区中间的没有编码意义的内含子（就是不读的部分），原核生物果断舍弃，秉承一条路走到黑的原则。所有的编码区首尾相连。当然这还不是最绝的，有些原核基因就通过移码的方式将一段基因藏到另一段基因里面，将吝啬发挥到了极致。就好比ATCGATCGATCG你从第一个读起就是ATC，GAT，CGA ，TCG。而有人告诉你第一个A不读从T开始就变成了TCG，ATC，GAT了。 做人又何尝不是这样，给你一本本子叫你写下一篇文章，纸张很少的时候为了把它写完，不打标点就不打吧，如果给你两本本子，你就可以打点标点，空两行也行啊。 找对位置以后你才会与众不同 玉米的种子有好几种不同的颜色，通常有白色和紫色还有一种带有紫色的斑点。而玉米种子的颜色是由控制玉米胚乳中颜色合成的基因控制的。若玉米带有野生型C基因，则胚乳呈紫色，C基因的突变阻断了紫色素的合成，那么胚乳呈白色。在胚乳发育的过程中，突变发生回复（C基因的阻断被解除）导致斑点的产生。回复突变发生在早期发育阶段，那么这粒玉米就是紫色的，若是发生在中后期发育阶段，那么这粒玉米便会出现紫色的斑点。 这就好比是一只白母鸡生小鸡，小鸡长大后又生小鸡，而且小鸡的颜色和母鸡一样。如果一开始就是一只白色的母鸡，那么到最后这群鸡都是白色的。同理一开始母鸡是黑的，最后鸡群也是黑的。如果母鸡生的小鸡中有一只出了问题，变黑了，那么到最后，鸡群便是黑白相间的了。这就是为什么玉米种子有3种颜色的原因。 C突变是由一个解离因子（dissociator, Ds）引起的，它可插入到C基因中（即转座）。另一个可移动的控制因子是激活因子（activator，Ac），它的存在可激活Ds转座，进入C基因或其他基因，也能使Ds从基因中转出，使突变基因产生“回复突变”，这就是Ac-Ds系统。说白了就是一根水管被夹子夹住了，水流不通，你把夹子取下来夹到不是这根管子的地方，这根水管就通了。 其实人又何尝不是这样，你老是抱怨你不被人发现不被人赏识，你却从来不找找自己的原因。也许你就根本不适合这项工作，你却偏偏死占着这个地方。把眼界放开一点吧，懂得离开，懂得放弃，说不定你就会成就辉煌。其实你只不过是一个站错位置的解离因子Ds，当你离开这个地方以后你便会发现，你变成了那颗漂亮的紫色玉米。 一个人的出生虽然很重要，但并不是全部 在基因的表观遗传发现之前，人们是唯基因论，认为基因决定一切。正如一个人一出生就决定了他以后的命运一样。当基因的表观遗传发现以后，这个传统就被颠覆了。就通常来说一个合成蛋白质的基因它要表现出来，要通过好几个步骤。首先它要转录成为RNA，然后再翻译成为蛋白质，最后再进行蛋白质的剪切折叠才行。在这之间的每一个步骤，只要有一个出了问题，结果便会大不一样了。表观遗传（epigenetics）是指DNA序列不发生变化，但基因表达却发生了可遗传的改变。这种改变是细胞内除了遗传信息以外的其他可遗传物质发生的改变，且这种改变在发育和细胞增殖过程中能稳定传递。表观遗传的方式很多，在这里就简单介绍2种吧。一种叫做DNA甲基化，一种叫RNA干扰。前者是对基因中的RNA进行甲基化修饰来控制基因的表达。一般来说，被甲基化的基因它的转录能力会被限制住，到最后便不能产生相应的蛋白。人在胚胎时期的甲基化程度是最低的，随着年龄的成长甲基化程度便会逐渐增加。而人的饮食，环境都会对其产生影响，这就是为什么两个双胞胎在出生的时候差不多，当他们分开以后，过了几十年再聚在一起时便产生区别的原因。RNA干扰则是对基因转录产生的RNA进行降解导致其不能产生蛋白的过程，它是通过体外注射和目标RNA一样的双链RNA来实现的。而且这种现象还可以遗传给后代。]]></description>
			<content:encoded><![CDATA[<p>勤俭节约是美德<br />
相对于真核生物（高等动植物），原核生物（细菌等）表现得非常节俭，这是与他的生存环境分不开的。真核生物生存能力强，有的能够自己选择环境，比如说动物。而原核动物就没有这么好的生存条件了，成天饱一顿饿一顿，运气好时飘到垃圾堆里饱餐一顿，运气不好就饿肚子吧。于是他不得不节俭起来，连对待决定自己遗传和生存的基因也毫不手软，能简则简。基因是由碱基对组成的，每种生物都有4个碱基，即A，T，C，G。而编码氨基酸要由3个碱基完成。就这样3个一组组成了遗传密码。我们就将基因比作一本书，书上的字全是又A，T，C，G四个中的3个组成的，如ATG就是“好”字。当然在读书的时候有由几十个字母组成的开头，提示下面开始读了。原核生物的书，在提示以后就是一口气读下去，连个标点符号都没有。而真核生物是读几个字，有一个标记在下面提示“后面的不读了”，当读到“我们重新开始读”的标记的时候再开始读。这样算下来原核生物的书就比真核生物的书薄多了。<br />
相对于真核生物每2个编码区中间的没有编码意义的内含子（就是不读的部分），原核生物果断舍弃，秉承一条路走到黑的原则。所有的编码区首尾相连。当然这还不是最绝的，有些原核基因就通过移码的方式将一段基因藏到另一段基因里面，将吝啬发挥到了极致。就好比ATCGATCGATCG你从第一个读起就是ATC，GAT，CGA ，TCG。而有人告诉你第一个A不读从T开始就变成了TCG，ATC，GAT了。<br />
做人又何尝不是这样，给你一本本子叫你写下一篇文章，纸张很少的时候为了把它写完，不打标点就不打吧，如果给你两本本子，你就可以打点标点，空两行也行啊。</p>
<p>找对位置以后你才会与众不同<br />
玉米的种子有好几种不同的颜色，通常有白色和紫色还有一种带有紫色的斑点。而玉米种子的颜色是由控制玉米胚乳中颜色合成的基因控制的。若玉米带有野生型C基因，则胚乳呈紫色，C基因的突变阻断了紫色素的合成，那么胚乳呈白色。在胚乳发育的过程中，突变发生回复（C基因的阻断被解除）导致斑点的产生。回复突变发生在早期发育阶段，那么这粒玉米就是紫色的，若是发生在中后期发育阶段，那么这粒玉米便会出现紫色的斑点。<br />
这就好比是一只白母鸡生小鸡，小鸡长大后又生小鸡，而且小鸡的颜色和母鸡一样。如果一开始就是一只白色的母鸡，那么到最后这群鸡都是白色的。同理一开始母鸡是黑的，最后鸡群也是黑的。如果母鸡生的小鸡中有一只出了问题，变黑了，那么到最后，鸡群便是黑白相间的了。这就是为什么玉米种子有3种颜色的原因。<br />
C突变是由一个解离因子（dissociator, Ds）引起的，它可插入到C基因中（即转座）。另一个可移动的控制因子是激活因子（activator，Ac），它的存在可激活Ds转座，进入C基因或其他基因，也能使Ds从基因中转出，使突变基因产生“回复突变”，这就是Ac-Ds系统。说白了就是一根水管被夹子夹住了，水流不通，你把夹子取下来夹到不是这根管子的地方，这根水管就通了。<br />
其实人又何尝不是这样，你老是抱怨你不被人发现不被人赏识，你却从来不找找自己的原因。也许你就根本不适合这项工作，你却偏偏死占着这个地方。把眼界放开一点吧，懂得离开，懂得放弃，说不定你就会成就辉煌。其实你只不过是一个站错位置的解离因子Ds，当你离开这个地方以后你便会发现，你变成了那颗漂亮的紫色玉米。</p>
<p>一个人的出生虽然很重要，但并不是全部<br />
在基因的表观遗传发现之前，人们是唯基因论，认为基因决定一切。正如一个人一出生就决定了他以后的命运一样。当基因的表观遗传发现以后，这个传统就被颠覆了。就通常来说一个合成蛋白质的基因它要表现出来，要通过好几个步骤。首先它要转录成为RNA，然后再翻译成为蛋白质，最后再进行蛋白质的剪切折叠才行。在这之间的每一个步骤，只要有一个出了问题，结果便会大不一样了。表观遗传（epigenetics）是指DNA序列不发生变化，但基因表达却发生了可遗传的改变。这种改变是细胞内除了遗传信息以外的其他可遗传物质发生的改变，且这种改变在发育和细胞增殖过程中能稳定传递。表观遗传的方式很多，在这里就简单介绍2种吧。一种叫做DNA甲基化，一种叫RNA干扰。前者是对基因中的RNA进行甲基化修饰来控制基因的表达。一般来说，被甲基化的基因它的转录能力会被限制住，到最后便不能产生相应的蛋白。人在胚胎时期的甲基化程度是最低的，随着年龄的成长甲基化程度便会逐渐增加。而人的饮食，环境都会对其产生影响，这就是为什么两个双胞胎在出生的时候差不多，当他们分开以后，过了几十年再聚在一起时便产生区别的原因。RNA干扰则是对基因转录产生的RNA进行降解导致其不能产生蛋白的过程，它是通过体外注射和目标RNA一样的双链RNA来实现的。而且这种现象还可以遗传给后代。</p>
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		</item>
		<item>
		<title>实验室趣闻20120229</title>
		<link>http://www.91bio.com/laboratory-anecdotes-20120229/</link>
		<comments>http://www.91bio.com/laboratory-anecdotes-20120229/#comments</comments>
		<pubDate>Wed, 29 Feb 2012 01:25:42 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645895</guid>
		<description><![CDATA[找生物分享自生物帮的实验室雷人趣闻]]></description>
			<content:encoded><![CDATA[<p>找生物分享自<a href="http://www.bio1000.com/news/1/1149.html" target="_blank">生物帮的实验室雷人趣闻</a></p>
<div class='et-box et-bio'>
					<div class='et-box-content'>
<p>1、实验室一老师水杯超大，上贴一纸条：此乃饮水杯，请勿当废液缸用!</p>
<p>2、一日老板突然傻笑着对我们说，我的电脑不怕病毒了!</p>
<p>我们忙问：您是不是新买了什么杀毒软件，也借我们装一下</p>
<p>老板曰：我的电脑前几天染了好几种病毒，想在应该有抗性了。</p>
<p>3、一同学实验安排较紧，中午每每以泡面充饥，奇在他的泡面是用牛奶泡的，还有特别设计的protocol，下面是摘自他的试验记录的内容：</p>
<blockquote><p>1.称取奶粉50g(三鹿牌)，溶于250ml蒸馏水，干净玻璃棒搅拌30s。</p>
<p>2.放在微波炉中加热至沸腾。</p>
<p>3.65℃水浴10min</p>
<p>4.取泡面一袋(康师傅)，隔袋抓碎，取出调料包，放入奶粉中30s</p>
<p>5.开吃</p>
<p>呵呵，据说味道还可以，大家试试</p></blockquote>
<p>4、问:你买的裸鼠是什么裸鼠? 答:全裸</p>
<p>5、某生第一次去裸鼠实验室，是一个人，宽衣沐浴后不知隔离衣在哪，但相信应该在里面的房间里，于是往里走，恰好那个放置隔离衣的房间里隔离衣已经 没了，他继续往里走，到了风淋间，他以为是风淋之后才穿隔离衣呢。谁知出了风淋间就到了裸鼠实验室，他还到处找衣服呢，恰好遇上管理员，管理员大跌眼镜： 你与裸鼠坦诚相见呢还是比裸哪!</p>
<p>6、豆豆：“今天你怎么样?我又是女儿。”</p>
<p>歪歪(苦着脸)：“我也一样啊。”</p>
<p>小花仰天长笑：“我是儿子也。” 被豆豆和歪歪狂扁。</p>
<p>注：实验室暗语，跑胶有条带为儿子，无条带视为女儿。接头：今天你生了什么?</p>
<p>7、做免组常常要4度冰箱过夜，于是下班时间一个小小的mm大声宣布：大师兄，今天我们一起过夜吧!</p>
<p>8、分细胞要离心，一离就是20分钟，一天一MM急急地问：师兄，你离了吗? “还没呢，等着你一起离呢”</p>
<p>9、跑蛋白电泳要变性,某男在做实验时大声说:我在变性.</p>
<p>10、实验室研究生经常一起共用考马斯亮兰染色脱色,一次我和师妹的蛋白质样品一起脱色,我的样品先脱完,我在实验室走廊对着在另外一个实验室的师妹喊到,我的已经脱完了,你还要不要再脱,结果在场的所有人全都狂笑起来了.</p>
<p>11、电梯里，x教授，xxx</p>
<p>xxx：“X教授，您好。”</p>
<p>某教授一点头：“你好，今天答辩吧。”</p>
<p>xxx：“X教授，是的。”</p>
<p>x教授，特慈祥地：“你的导师是谁呀。”</p>
<p>全电梯汗，大家都知道xxx的导师就是x教授呀。</p>
<p>x教授也反应特快，看见xxx和大家的表情就知道不对头，马上扭头和另一位教授打哈哈。</p>
<p>唉，都是扩招惹的祸。</p>
<p>12、有段时间我师弟做抗糖尿病药物，用大鼠做糖尿病模型。一天，我笑着问他：你的糖尿病怎么样了?师弟一听立即反唇相讥：“你的瘤子长多少啦?”　那时我正在做一种抗肿瘤药物，养荷瘤鼠。</p>
<p>13、昨天轮到我作SEMINER, 我是做鸡的一种基因的克隆，完事后，有个傻MM 问我，人也有这种基因吗，为什么不做人呢，她意思是说，做人的不比鸡的更有意义吗。我顺口就说：我先不做人，先做鸡。</p>
<p>一次她说起自己做过的试验，非常得意，滔滔不绝地说：“哈，我可是做了不少了，大鼠、小鼠，黑鼠、裸鼠，豚鼠，沙土鼠，全做过了，兔子就更不用说了，噢，对了，鸡也做过了。”我在旁边听了，暗自吃惊，赶忙拿别的话打岔过去。其实她指的是用鸡胚做抑血管生成试验。</p>
</div></div>
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		<slash:comments>6</slash:comments>
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		<item>
		<title>实验室糗事自爆20120227</title>
		<link>http://www.91bio.com/laboratory-embarrassments-blew-20120227/</link>
		<comments>http://www.91bio.com/laboratory-embarrassments-blew-20120227/#comments</comments>
		<pubDate>Tue, 28 Feb 2012 00:15:48 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室糗事]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645890</guid>
		<description><![CDATA[分享自仪器信息网《大家都来说说发生在实验室的糗事吧》的帖子，找生物整理分享下，特别提示下：实验室安全是第一位的啊！]]></description>
			<content:encoded><![CDATA[<p>分享自仪器信息网<a href="http://bbs.instrument.com.cn/shtml/20101126/2956412/" target="_blank">《<strong>大家都来说说发生在实验室的糗事吧》</strong></a>的帖子，找生物整理分享下<strong>，特别提示下：实验室安全是第一位的啊！</strong></p>
<div class='et-box et-bio'>
					<div class='et-box-content'>
<p><span style="font-size: small;">那是2008年上半年我们做毕业设计，6月就毕业了工作还没有着落，还要每天忙着做实验就很郁闷，晚上去买饭了顺便带了个小刀（是白酒不是刀具啊，你们懂得），实验室没有杯子，我们顺手就拿了两个新烧杯洗了，然后喝了起来，正喝的高兴呢，结果被老师推门一下子走了进来……这件事的好处就是，我们发现了一个秘密，酒瓶上标的有450mL其实根本不够450mLO(∩_∩)O~</span></p>
<p>曾经在实验室喝过蔗糖溶液，做酸碱滴定实验室盐酸用完了，直接拿盐酸的瓶子接点自来水，不知道在我们后面一组的同学滴定实验做出来了没有？</p>
<p>大学毕业前同学从实验室拿了一包镁条，在宿舍楼道里点着了，烧得那个旺，然后大家寻思都没用过灭火器，于是又把灭火器拿来喷灭下，于是楼道里都是白沫，被扫地的大妈大骂一通~~</p>
<p>其实我觉得瓷坩埚更像酒盅~还有碾钵，冲芝麻蛮好的好像~~</p>
<p>我们用实验室的烤箱烤红薯，烤板栗。</p>
<blockquote><p>原文由 <strong>xulaoq(xulaoq)</strong> 发表:
我们用实验室的烤箱烤红薯，烤板栗。</p></blockquote>
<p>马弗炉里烤红薯才真叫香呢~~
不过如果平时都是烘的有毒样品，不建议拿来做烤炉~~</p>
<p>有一次公司给过生日的同事每人发了一个鸡蛋，拿到手上的时候已经冷了，然后就放到烘箱里去烤了一下结果炸开了，不仅没吃成还刷了一遍烘箱</p>
<p>领导带着客人去实验室用电炉点烟（找不着打火机，人家烟瘾又上来了）。搞笑的是带去了微生物室，结果那里的电炉是封闭式电炉点不了烟。。。。。。</p>
<p>冬天下雨把鞋子弄湿了，拿鞋垫出来放烘箱里烤。。当时没看到烘箱二层里边还有人放了牛奶在里面热。。然后我们一起被领导给抓出去了。</p>
<p>对了，还有件事情，是考研的时候，同学晚上在实验室学习，弄个电饭锅熬稀饭，没碗盛，就拿个新买的烧杯洗洗喝稀饭了，嘿嘿，有时候我们的老师下午或者晚上 要加班给大家上课，就不回去吃饭了，让我们帮着打回来饭在办公室吃，可是没碗放啊，我同学直接给找来一个碗大的研钵，饭放进去刚好，哈哈</p>
<p>刚配好的标准氢氧化钠溶液，标定完成，没来的及贴上标签。转身去做别的事，后来看见一瓶不知明的液体，检测下是碱性的，就用废酸把它中和了，中和完想起来了，那是刚标定完的氢氧化钠溶液。</p>
</div></div>
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		</item>
		<item>
		<title>母鸡下蛋能预报天气？</title>
		<link>http://www.91bio.com/mujixiadan-can-predict-the-weather/</link>
		<comments>http://www.91bio.com/mujixiadan-can-predict-the-weather/#comments</comments>
		<pubDate>Mon, 27 Feb 2012 05:01:51 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[科学趣谈]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645885</guid>
		<description><![CDATA[据英国《每日邮报》报道，英国一只母鸡有种神奇的力量：它下的鸡蛋蛋壳上有特殊花纹，可以准确预报天气情况(见上图)。 这只母鸡名叫罗茜 (Rosie)，来自英国波克夏郡梅登黑德镇(Maidenhead)。人们无需通过高科技电脑成像技术，只要看看它下的蛋就能预测未来会下雨还是晴天。 比如本周，梅登黑德镇晴空万里，罗茜的蛋蛋壳上就出现发光太阳形状的花纹。上周下雪前，罗茜的鸡蛋上就出现类似雪花的白色斑点。 罗茜的主 人萨查 安德森(Sacha Anderson)说：“当它开始下这种能够预报天气的鸡蛋时，我们无法相信，那就像魔法。8月份，蛋壳上出现奇怪的太阳光线，当时是一年中最热的几天。 上周我们发现鸡蛋上出现从未见过的斑点，就像雪花，然后这里就开始下雪。这类情况发生了许多次，它应该向气象局申请工作岗位，我现在几乎不看电视台的天气 预报。” 安德森家是2011年7月份从一家农场商店买下罗茜的，当时是给孩子们的礼物。鸡类专家、作家夏洛特 波佩斯库(CharlottePopescu)说：“我以前从未听说鸡能预测天气的事情。一般来说，鸡蛋蛋壳与鸡的品种有关。不过，如果章鱼都能预测足球 赛结果，鸡为什么不能预测天气呢？”]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.91bio.com/wp-content/uploads/2012/02/A3851F1DFFA83DB159B4D28D02FC59DC.jpg"><img class="aligncenter size-medium wp-image-645886" title="A3851F1DFFA83DB159B4D28D02FC59DC" src="http://www.91bio.com/wp-content/uploads/2012/02/A3851F1DFFA83DB159B4D28D02FC59DC-300x212.jpg" alt="" width="300" height="212" /></a></p>
<p>据英国《每日邮报》报道，英国一只母鸡有种神奇的力量：它下的鸡蛋蛋壳上有特殊花纹，可以准确预报天气情况(见上图)。<br />
这只母鸡名叫罗茜 (Rosie)，来自英国波克夏郡梅登黑德镇(Maidenhead)。人们无需通过高科技电脑成像技术，只要看看它下的蛋就能预测未来会下雨还是晴天。 比如本周，梅登黑德镇晴空万里，罗茜的蛋蛋壳上就出现发光太阳形状的花纹。上周下雪前，罗茜的鸡蛋上就出现类似雪花的白色斑点。<br />
罗茜的主 人萨查 安德森(Sacha Anderson)说：“当它开始下这种能够预报天气的鸡蛋时，我们无法相信，那就像魔法。8月份，蛋壳上出现奇怪的太阳光线，当时是一年中最热的几天。 上周我们发现鸡蛋上出现从未见过的斑点，就像雪花，然后这里就开始下雪。这类情况发生了许多次，它应该向气象局申请工作岗位，我现在几乎不看电视台的天气 预报。”<br />
安德森家是2011年7月份从一家农场商店买下罗茜的，当时是给孩子们的礼物。鸡类专家、作家夏洛特 波佩斯库(CharlottePopescu)说：“我以前从未听说鸡能预测天气的事情。一般来说，鸡蛋蛋壳与鸡的品种有关。不过，如果章鱼都能预测足球 赛结果，鸡为什么不能预测天气呢？”</p>
]]></content:encoded>
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		</item>
		<item>
		<title>生物实验趣闻20120225</title>
		<link>http://www.91bio.com/biological-experiments-anecdotes-20120225/</link>
		<comments>http://www.91bio.com/biological-experiments-anecdotes-20120225/#comments</comments>
		<pubDate>Sat, 25 Feb 2012 00:08:47 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645876</guid>
		<description><![CDATA[分享未知网友的实验室奇闻趣事]]></description>
			<content:encoded><![CDATA[<p>分享未知网友的实验室奇闻趣事</p>
<div class='et-box et-bio'>
					<div class='et-box-content'>（一）人血蟹兰</p>
<p>检验科的一位师姐，好奇心使然，用检验过的血样（没有查出传染病的那种）浇灌了一盆已经过了开花期的蟹兰，结果蟹兰长势蓬勃，散发第二春，花朵开的鲜艳喜人，让人赞叹。由此节外生枝的实验可以证明，人类作为食物链的最顶端，血液之营养丰富不是盖的。由此类推，人肉想必也是味道鲜美无比的。（嘿嘿，有点变态了哈~）</p>
<p>（二）为谁炒鸡蛋</p>
<p>吃 炒鸡蛋、火腿肠，喝牛奶，这些不是以为研究生的日常食谱，而是一位师姐为实验中的小白鼠准备的食物。实验对于研究生，相当于开启藏着学位帽屋子的门钥匙， 实验动物的珍贵程度超过了实验者本身。有的动物品种比较精贵，它们承担着一个实验成功与否的重大责任，伺候好这帮爷，就是为实验的顺利进行打基础。于是 乎，每天一次的探视，给它们开小灶也就不足为奇了。</p>
<p>（三）老鼠喝茅台</p>
<p>这可不是给老鼠开的小灶，而是某位同学（此同学的导 师是茅台酒场的一领导）的研究课题——急性酒精（茅台）中毒和慢性酒精中毒对机体的影响，最终的目的是人，但前期得在动物身上实验。于是，那些大白鼠爷爷 们就成了每天品尝茅台的幸运儿，每只每天两毫升，于是，喝的醉醺醺的大白鼠们成为<strong>实验室</strong><strong>里的</strong>另一道靓丽的风景线。</p>
<p>（四）兔子的尖叫和智商</p>
<p>读研之前，我一直以为兔子是不会叫的，但后来发现，兔子的嗓子不比任何一种的动物嗓门小，有时候麻醉不深，兔子被绑的不舒服了会吱吱的大叫，一般是母兔子比公兔子爱叫，估计雌性比雄性娇嫩这个道理在自然界都相通吧。</p>
<p>除 了会叫，兔子的智商也让我大为失望，耳朵很长，对听觉的反应极低，调皮幼稚（进食的时候爱扒盆子，结果扒翻了，饲料漏过兔笼底的缝隙洒一地，吃不着干饿 着），让我感觉地老鼠的智商都比兔子的智商高不止一个数量级。不过兔子的性格比较温顺还算一个优点，要不小朋友们都那么唱呢：“小白兔，白又白，两只耳朵 竖起来&#8230;..蹦蹦跳跳真可爱~”</div></div>
]]></content:encoded>
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		</item>
		<item>
		<title>生物实验室趣闻20120224</title>
		<link>http://www.91bio.com/biological-laboratory-anecdotes-20120224/</link>
		<comments>http://www.91bio.com/biological-laboratory-anecdotes-20120224/#comments</comments>
		<pubDate>Fri, 24 Feb 2012 02:03:56 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645867</guid>
		<description><![CDATA[分享来自豆瓣普林斯牛顿童鞋的实验室趣闻。]]></description>
			<content:encoded><![CDATA[<p>分享来自豆瓣<a href="http://www.douban.com/people/Gunther/">普林斯牛顿</a>童鞋的实验室趣闻。</p>
<div class='et-box et-bio'>
					<div class='et-box-content'>讲个我们实验室的小趣闻，不是关于做实验的，是讲实验室生活的。
我们实验室做实验的试剂啊耗材啊，有的是公用的，有的则每个人自己领的配的。
一直以来，大家的关系都非常的和谐&#8230;
直到有一天&#8230;
一位师兄早上了领一瓶试剂，可是到晚上就空了，他异常的气氛，以至于去操场跑了N圈来发泄实验失败外加试剂被大家“盗用”的郁闷&#8230;
第二天，我早早的来到实验室，惊奇的发现他冰箱里的所有试剂瓶上都没有标记试剂名称了，取而代之的是A,B,C,D&#8230;.
而后他每次去取试剂都会翻阅一下他的笔记本，查找A液是XXX，B液是XXX =.=</p>
<p>这件事以后，有一位师姐貌似也得到了什么启发。
于是之后她冰箱里的培养基总是写着：
“此瓶培养基已被污染，请慎用”
（坑爹呀，有木有）</p>
<p>其实实验室的每一个童鞋都是灰常可爱的，总是在枯燥的实验室生活中寻找难得的快乐。
话说后来，我们终于破解了A,B,C液&#8230;的“密码”，也用起了“被污染”的培养基。~~ </div></div>
]]></content:encoded>
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		</item>
		<item>
		<title>生物实验室趣闻20120223</title>
		<link>http://www.91bio.com/645-864/</link>
		<comments>http://www.91bio.com/645-864/#comments</comments>
		<pubDate>Fri, 24 Feb 2012 01:41:23 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室趣闻]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645864</guid>
		<description><![CDATA[分享来自“So In Love”的实验室趣闻！ part -1-癞蛤蟆 我们要做的实验就是所谓 测试生物体的感受器对刺激的反应、被我们血淋淋的摆上试验台的就是可爱、有点恶心的 癞蛤蟆。在这个很简单的实验里，我们48人要毁掉24只可爱的小蛤蟆的躯体（注意、它们还是有生命的、虽然早晚会死、但是我们没有见到）。 part-2- 取蛙 这是本次趣闻的第一次爆点。当我们走进实验室的时候，老师是这样说的：两个男生，两个女生一个试验台，女生如果不敢，男生帮下忙。而实际情况是：坐在我和涵对面的、两个身高比我高出一个脑袋的大男生，正在互相推辞，谁都不愿去拿他们实验用的小蛤蟆。在我的 鼓励 下，终于有一个挺身而出，摸了半天，拿了一只：不能用，死了 的小蛤蟆，并且尖叫着拜托我给换了一只~~~~ 在我面对如此大家闺秀的男孩子的时候、我的人生、圆满了、 part-3- 除去大脑 拿到小蛤蟆以后、我们的第一项工序就是：除去蛤蟆的大脑、具体步骤其实很简单、用左手的无名指和小指夹住蛤蟆的后腿、拇指按住蛤蟆的背部、让蛤蟆的头和前爪搭在左手食指上、左手拿着蛤蟆、右手拿着剪子、掰开它的嘴、沿着眼睛上面把它的大脑剪下来（好长的简单步骤）、虽然有点血腥、但是并不难啦、 可是对面的男同志又一次展现了他们的风采、 我和涵姐大义凛然的做完了我们的这只蛤蟆的去脑工作、而对方居然在老师帮助去脑后让他们的蛤蟆（无头的）蹦达到地上了、、又劳烦我们给他俩捡起来、血淋淋弄了一地、你说还要擦掉、就不能胆大点么、 part-4-穿线和去皮 这两个步骤就是把蛤蟆的下颚用镊子穿过、把线引过去、把整只蛤蟆吊着系在铁架上、然后用剪子环剪蛤蟆其中一只后腿的踝部皮肤、把表皮从腿上去掉、作为与另一条腿的对照。我们俩做得很成功、没有碰到血管。对面两个家伙的表现同上、在此不一一赘述了。 part-5- 测试反映与清洗用具 最后的步骤就很简单了、用镊子夹起培养皿中泡在硫酸中的纸片、放在蛤蟆没有表皮的一条腿上、它不会有反应、放在有表皮的腿上、它会缩起来、放在肚皮上、就会四爪乱蹬。说明疼痛的感受器在表皮上、实验完成！（PS：指导实验的老师看我们组的蛤蟆效果很好、就给我们延伸了找出其神经、结扎、然后测试反应的实验、大大有收获） 清洗用具要求也很严格、必须做到一丝不苟、否则实验器材会锈掉、当然、这些工作（包括清洗硫酸培养皿）都大部分交给对面的了、谁让他们不做事哈、 这次的实验基本到这就没啥说的了、 除了体验了一次大学的实验、 深受教育以外、 我对90后与我同龄的男同志们（尤其是我对面的那两只）表示深深的遗憾与疑惑、 对于一个连这种小实验都不敢的同志来讲、 你们真的对得起男性这个称呼么？（这句话是单独对对面的人讲的） 你们的反应太过于激烈了吧、一只小小的癞蛤蟆而已啦、 总之、实验很开心、人生很圆满、男生很无知、 就写到这里了、 （PS：本来蛤蟆都应该用蟾蜍来代替、但是这个字体没有这两个字、大家凑合） 小蟾蜍、对不起了撒、 一个手染两只小蛤蟆鲜血的人、于27日晚 悲痛？而又窃喜的写道 ————ending————]]></description>
			<content:encoded><![CDATA[<p>分享来自“<a href="http://hi.baidu.com/congyeemma" target="_blank">So In Love</a>”的实验室趣闻！<br />
part -1-癞蛤蟆</p>
<p>我们要做的实验就是所谓 测试生物体的感受器对刺激的反应、被我们血淋淋的摆上试验台的就是可爱、有点恶心的 癞蛤蟆。在这个很简单的实验里，我们48人要毁掉24只可爱的小蛤蟆的躯体（注意、它们还是有生命的、虽然早晚会死、但是我们没有见到）。</p>
<p>part-2- 取蛙</p>
<p>这是本次趣闻的第一次爆点。当我们走进实验室的时候，老师是这样说的：两个男生，两个女生一个试验台，女生如果不敢，男生帮下忙。而实际情况是：坐在我和涵对面的、两个身高比我高出一个脑袋的大男生，正在互相推辞，谁都不愿去拿他们实验用的小蛤蟆。在我的 鼓励 下，终于有一个挺身而出，摸了半天，拿了一只：不能用，死了 的小蛤蟆，并且尖叫着拜托我给换了一只~~~~</p>
<p>在我面对如此大家闺秀的男孩子的时候、我的人生、圆满了、</p>
<p>part-3- 除去大脑</p>
<p>拿到小蛤蟆以后、我们的第一项工序就是：除去蛤蟆的大脑、具体步骤其实很简单、用左手的无名指和小指夹住蛤蟆的后腿、拇指按住蛤蟆的背部、让蛤蟆的头和前爪搭在左手食指上、左手拿着蛤蟆、右手拿着剪子、掰开它的嘴、沿着眼睛上面把它的大脑剪下来（好长的简单步骤）、虽然有点血腥、但是并不难啦、</p>
<p>可是对面的男同志又一次展现了他们的风采、</p>
<p>我和涵姐大义凛然的做完了我们的这只蛤蟆的去脑工作、而对方居然在老师帮助去脑后让他们的蛤蟆（无头的）蹦达到地上了、、又劳烦我们给他俩捡起来、血淋淋弄了一地、你说还要擦掉、就不能胆大点么、</p>
<p>part-4-穿线和去皮</p>
<p>这两个步骤就是把蛤蟆的下颚用镊子穿过、把线引过去、把整只蛤蟆吊着系在铁架上、然后用剪子环剪蛤蟆其中一只后腿的踝部皮肤、把表皮从腿上去掉、作为与另一条腿的对照。我们俩做得很成功、没有碰到血管。对面两个家伙的表现同上、在此不一一赘述了。</p>
<p>part-5- 测试反映与清洗用具</p>
<p>最后的步骤就很简单了、用镊子夹起培养皿中泡在硫酸中的纸片、放在蛤蟆没有表皮的一条腿上、它不会有反应、放在有表皮的腿上、它会缩起来、放在肚皮上、就会四爪乱蹬。说明疼痛的感受器在表皮上、实验完成！（PS：指导实验的老师看我们组的蛤蟆效果很好、就给我们延伸了找出其神经、结扎、然后测试反应的实验、大大有收获）</p>
<p>清洗用具要求也很严格、必须做到一丝不苟、否则实验器材会锈掉、当然、这些工作（包括清洗硫酸培养皿）都大部分交给对面的了、谁让他们不做事哈、</p>
<p>这次的实验基本到这就没啥说的了、</p>
<p>除了体验了一次大学的实验、</p>
<p>深受教育以外、</p>
<p>我对90后与我同龄的男同志们（尤其是我对面的那两只）表示深深的遗憾与疑惑、</p>
<p>对于一个连这种小实验都不敢的同志来讲、</p>
<p>你们真的对得起男性这个称呼么？（这句话是单独对对面的人讲的）</p>
<p>你们的反应太过于激烈了吧、一只小小的癞蛤蟆而已啦、</p>
<p>总之、实验很开心、人生很圆满、男生很无知、</p>
<p>就写到这里了、</p>
<p>（PS：本来蛤蟆都应该用蟾蜍来代替、但是这个字体没有这两个字、大家凑合）</p>
<p>小蟾蜍、对不起了撒、</p>
<p>一个手染两只小蛤蟆鲜血的人、于27日晚</p>
<p>悲痛？而又窃喜的写道</p>
<p>————ending————</p>
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		</item>
		<item>
		<title>DNA复制之歌</title>
		<link>http://www.91bio.com/song-of-dna-replication/</link>
		<comments>http://www.91bio.com/song-of-dna-replication/#comments</comments>
		<pubDate>Thu, 23 Feb 2012 06:51:35 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[生物视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645860</guid>
		<description><![CDATA[《DNA Replication Song》翻唱自后街男孩的歌曲，歌曲摘要如下 Oh, how I love bi-olo-gy (yeah yeah yeah) It’s better than chemistry And next time I have to go pee (I know) what’s happening inside of me]]></description>
			<content:encoded><![CDATA[<p>《DNA Replication Song》翻唱自后街男孩的歌曲，歌曲摘要如下</p>
<blockquote><p>Oh, how I love bi-olo-gy (yeah yeah yeah)<br />
It’s better than chemistry<br />
And next time I have to go pee (I know)<br />
what’s happening inside of me</p></blockquote>
<p><embed src="http://player.youku.com/player.php/sid/XMzUzODA4ODg0/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>关于基因的18个事</title>
		<link>http://www.91bio.com/18-things-about-the-genes/</link>
		<comments>http://www.91bio.com/18-things-about-the-genes/#comments</comments>
		<pubDate>Tue, 21 Feb 2012 03:49:23 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[基因]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645854</guid>
		<description><![CDATA[找生物分享的为2011年度基因有关视频奖项（呵呵，具体是什么名称找生物不知道的说），第一名的获奖视频《18 Things You Should Know About Genetics》，视频中展示了关于基因的18个话题，比较有创意的展示，同时您都看明白是哪18个了吗？欢迎留言哦！]]></description>
			<content:encoded><![CDATA[<p>找生物分享的为2011年度基因有关视频奖项（呵呵，具体是什么名称找生物不知道的说），第一名的获奖视频《18 Things You Should Know About Genetics》，视频中展示了关于基因的18个话题，比较有创意的展示，同时您都看明白是哪18个了吗？欢迎留言哦！<br />
<embed src="http://player.youku.com/player.php/sid/XMzUzODE1NDg4/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
]]></content:encoded>
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		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>蛋白之歌</title>
		<link>http://www.91bio.com/protein-song/</link>
		<comments>http://www.91bio.com/protein-song/#comments</comments>
		<pubDate>Sat, 18 Feb 2012 08:01:02 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[蛋白质]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645851</guid>
		<description><![CDATA[Protein Song to the tune of Boyzone &#8211; Baby Can I Hold You Proteins, It&#8217;s all that you can&#8217;t say? Months gone by and still names don&#8217;t come easily Like Valine&#8230; Like Valine Or Proline, Is all that you can&#8217;t say? Months gone by and still Names don&#8217;t come easily Like Alanine Buy you can [...]]]></description>
			<content:encoded><![CDATA[<p><embed src="http://player.youku.com/player.php/sid/XMzUzNzk4OTY4/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
<p>Protein Song<br />
to the tune of Boyzone &#8211; Baby Can I Hold You</p>
<p>Proteins,<br />
It&#8217;s all that you can&#8217;t say?<br />
Months gone by and still<br />
names don&#8217;t come easily<br />
Like Valine&#8230; Like Valine<br />
Or Proline,<br />
Is all that you can&#8217;t say?<br />
Months gone by and still<br />
Names don&#8217;t come easily<br />
Like Alanine</p>
<p>Buy you can say, group 1<br />
These are the amino acids<br />
With side chains that are hydrophobic<br />
Ooh, and nonpolar<br />
Like Alanine</p>
<p>Group 2<br />
Is all that you can&#8217;t say?<br />
Polar and uncharged side chains<br />
Name don&#8217;t come easily<br />
Like Threonine, Threonine&#8230;</p>
<p>But you can say, group 3<br />
With polar and charged side chains<br />
Baby, if I told you the right name<br />
Ohhh, like Lysine<br />
Can form ester bonds.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/protein-song/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>集博-临床医师每日必备的资源</title>
		<link>http://www.91bio.com/tibbo-clinicians-daily-essential-resources/</link>
		<comments>http://www.91bio.com/tibbo-clinicians-daily-essential-resources/#comments</comments>
		<pubDate>Fri, 17 Feb 2012 12:10:00 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[网络资源]]></category>
		<category><![CDATA[软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645848</guid>
		<description><![CDATA[不是广告贴，找生物介绍一个临床医师用新型网站，主要介绍其android应用。 药品信息 提供国内常用的处方药2000多种通用名、7000多种商品名以及OTC药品和中成药的基本信息查询 药品信息包括：适应症、药物相互作用、用法用量、禁忌症、不良反应报告、医保目录、剂型、规格、生产厂家等。 可通过商品名、通用名、拼音的首字母等迅速找到目标药。 按不同疾病系统检索药物(包括:神经与精神疾病、呼吸系统疾病、消化系统疾病、心血管系统疾病、内分泌代谢疾病、肿瘤&#8230; &#8230;20个疾病系统)。 可将您常用的药物添加到收藏夹列表，供以后重复查询。 无需网络连接，随时随地访问。 医学公式 协助您做出临床决策的有用医学计算器 包括70多个临床实践中有用的医学计算器。 可依据不同疾病系统查找计算公式，目前囊括了：心血管系统、内分泌代谢系统、血液系统、泌尿系统、呼吸系统、肌肉骨骼系统和外科等多个疾病系统的常用公式。 可将您常用的计算器添加到收藏夹列表，供以后快速访问。 无需网络连接，随时随地访问 。 医学研究 提供便捷的学术论文检索，即时显示搜索结果，并保存和分享文章 提供多种检索方式，输入文章标题、发布日期、作者姓名、医院名称或文章关键词均可搜索文章，并提供链接到摘要或整篇文章（如果可以在Web 上免费浏览全文）。 选择您关注的专业领域浏览文章(包括:神经与精神疾病、呼吸系统疾病、消化系统疾病、心血管系统疾病、内分泌代谢疾病、肿瘤&#8230; &#8230; 20个领域)。 迅速显示搜索结果，全部结果以逆时间顺序排列（最新的文章排在最前面）。 提供PubMed数据库链接，点击进入PubMed数据检索系统。 可将您关注的文章添加到收藏夹列表，供以后重复查阅。 通过短信、邮件、新浪微博与人分享有价值的文章。 医学工具 临床实践中必不可少的工具，协助您诊断、治疗或判断预后 肿瘤临床实践指南： 肿瘤领域临床决策的标准，按类似决策树的路线图进行组织，便于临床医师方便快捷地找到正确的治疗路线。 TNM肿瘤分期工具： 采用TNM肿瘤分期系统，为各种肿瘤进行临床分期，指导治疗计划的制定。 典型异常心电图：收集了常见的异常心电图，35例优质的心电图实例加上详细的文字注解,是临床医师不可多得的学习工具。 学术背景 一个专属您自己的学术成就展示平台 在我们超过300万篇文章和30万医生的数据库中为您建立个人学术档案，包括您发表的文章， 主要研究方向等。 在档案中轻松浏览您及您的合著者发表文章概况，并提供链接到文章摘要或整篇文章（如果可以在Web 上免费浏览全文）。 本文来源http://www.jibo.cn/ot/intr.asp?t=4]]></description>
			<content:encoded><![CDATA[<p>不是广告贴，找生物介绍一个临床医师用新型网站，主要介绍其android应用。</p>
<div class='et-box et-shadow'>
					<div class='et-box-content'>集博”一直专注于向医疗行业人士提供专业的资讯及服务，并于2010年成立上海博业信息科技有限公司，希望藉由移动互联应用技术兴起、医疗电子化程度提高等契机，向行业内专业人士提供专业快捷的信息，方便个性化的工具和便捷的交流。</div></div>
<div>
<div><strong>药品信息</strong></div>
<div>
<p align="left">提供国内常用的处方药2000多种通用名、7000多种商品名以及OTC药品和中成药的基本信息查询</p>
</div>
<div>
<ul>
<li>药品信息包括：适应症、药物相互作用、用法用量、禁忌症、不良反应报告、医保目录、剂型、规格、生产厂家等。</li>
<li>可通过商品名、通用名、拼音的首字母等迅速找到目标药。</li>
<li>按不同疾病系统检索药物(包括:神经与精神疾病、呼吸系统疾病、消化系统疾病、心血管系统疾病、内分泌代谢疾病、肿瘤&#8230; &#8230;20个疾病系统)。</li>
<li>可将您常用的药物添加到收藏夹列表，供以后重复查询。</li>
<li>无需网络连接，随时随地访问。</li>
</ul>
</div>
</div>
<div></div>
<div align="center">
<div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_ypxx01.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_ypxx02.png" alt="" width="250" /></li>
</ul>
<div>
<div>
<div style="text-align: left;"><strong>医学公式</strong></div>
<div style="text-align: left;">协助您做出临床决策的有用医学计算器</div>
<div>
<ul>
<li style="text-align: left;">包括70多个临床实践中有用的医学计算器。</li>
<li style="text-align: left;">可依据不同疾病系统查找计算公式，目前囊括了：心血管系统、内分泌代谢系统、血液系统、泌尿系统、呼吸系统、肌肉骨骼系统和外科等多个疾病系统的常用公式。</li>
<li style="text-align: left;">可将您常用的计算器添加到收藏夹列表，供以后快速访问。</li>
<li style="text-align: left;">无需网络连接，随时随地访问 。</li>
</ul>
</div>
</div>
<div></div>
<div align="center">
<div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgs01.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgs02.png" alt="" width="250" /></li>
</ul>
<div>
<div>
<div style="text-align: left;"><strong>医学研究</strong></div>
<div style="text-align: left;">提供便捷的学术论文检索，即时显示搜索结果，并保存和分享文章</div>
<div style="text-align: left;">
<ul>
<li>提供多种检索方式，输入文章标题、发布日期、作者姓名、医院名称或文章关键词均可搜索文章，并提供链接到摘要或整篇文章（如果可以在Web 上免费浏览全文）。</li>
<li>选择您关注的专业领域浏览文章(包括:神经与精神疾病、呼吸系统疾病、消化系统疾病、心血管系统疾病、内分泌代谢疾病、肿瘤&#8230; &#8230; 20个领域)。</li>
<li>迅速显示搜索结果，全部结果以逆时间顺序排列（最新的文章排在最前面）。</li>
<li>提供PubMed数据库链接，点击进入PubMed数据检索系统。</li>
<li>可将您关注的文章添加到收藏夹列表，供以后重复查阅。</li>
<li>通过短信、邮件、新浪微博与人分享有价值的文章。</li>
</ul>
</div>
</div>
<div style="text-align: left;"></div>
<div align="center">
<div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxyj01.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxyj02.png" alt="" width="250" /></li>
</ul>
</div>
</div>
</div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgs03.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgs04.png" alt="" width="250" /></li>
</ul>
<div>
<div>
<div style="text-align: left;"><strong>医学工具</strong></div>
<div style="text-align: left;">临床实践中必不可少的工具，协助您诊断、治疗或判断预后</div>
<div style="text-align: left;">
<ul>
<li><strong>肿瘤临床实践指南：</strong> 肿瘤领域临床决策的标准，按类似决策树的路线图进行组织，便于临床医师方便快捷地找到正确的治疗路线。</li>
<li><strong>TNM肿瘤分期工具：</strong> 采用TNM肿瘤分期系统，为各种肿瘤进行临床分期，指导治疗计划的制定。</li>
<li><strong>典型异常心电图：</strong>收集了常见的异常心电图，35例优质的心电图实例加上详细的文字注解,是临床医师不可多得的学习工具。</li>
</ul>
</div>
</div>
<div style="text-align: left;"></div>
<div align="center">
<div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgj01.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_yxgj02.png" alt="" width="250" /></li>
</ul>
<div>
<div>
<div style="text-align: left;"><strong>学术背景</strong></div>
<div style="text-align: left;">一个专属您自己的学术成就展示平台</div>
<div>
<ul>
<li style="text-align: left;">在我们超过300万篇文章和30万医生的数据库中为您建立个人学术档案，包括您发表的文章， 主要研究方向等。</li>
<li style="text-align: left;">在档案中轻松浏览您及您的合著者发表文章概况，并提供链接到文章摘要或整篇文章（如果可以在Web 上免费浏览全文）。</li>
</ul>
</div>
</div>
<div></div>
<div align="center">
<div>
<ul>
<li><img src="http://www.jibo.cn/ot/images/pic/intro_help_xsbj01.png" alt="" width="250" /><img src="http://www.jibo.cn/ot/images/pic/intro_help_xsbj02.png" alt="" width="250" /></li>
</ul>
<div></div>
<div style="text-align: left;">本文来源<a href="http://www.jibo.cn/ot/intr.asp?t=4">http://www.jibo.cn/ot/intr.asp?t=4</a></div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/tibbo-clinicians-daily-essential-resources/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>气相色谱仪的操作技巧</title>
		<link>http://www.91bio.com/chromatograph-skills/</link>
		<comments>http://www.91bio.com/chromatograph-skills/#comments</comments>
		<pubDate>Thu, 16 Feb 2012 10:47:07 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[实验技巧]]></category>
		<category><![CDATA[生物实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645840</guid>
		<description><![CDATA[找生物接受民童鞋的投递，原文链接为http://www.china-bio.com.cn/home/products_view.asp?id=30，感谢分享！ 气相色谱仪是完成气相色谱分析的主要工具,而要体现操作简单的特点,达到快速准确分析的目的,操作者必须具备良好的操作技能。本人根据近二十年使用气相色谱仪的经验,拟出气相色谱仪的操作技巧,供同行们参考。 1 　加热 由于气相色谱仪的生产厂家和质量的不同,给定温度的方式也不相同。对于用微机设数法或拨轮选择法给定温度,一般是直接设数或选择合适给定温度值加以升温。而如果是采用旋钮定位法,则有技巧可言。 1.1 　过温定位法 将温控旋钮调至低于操作温度约30 ℃处,给气相色谱仪升温。当过温至约为操作温度时,配合温 度指示和加热指示灯,再逐渐将温控旋钮调至合适位置。 1.2 　分步递进定位法 将温控旋钮朝升温方向转动一个角度,升温开始,指示灯亮;当温度基本稳定时,再同向转动温控旋钮,开始继续升温;如此递进调节,直至恒温在工作温度上。 2 　调池平衡 调池平衡,实际是调热导电桥平衡,使之有较为合适的输出。讲调节技巧,其实是对具有池平衡、调零和记录调零等调节功能的气相色谱仪而言。 第一步,用池平衡或调零旋钮将记录仪指针调至合适位置; 第二步,自衰减至16 倍左右,观察记录仪指针移动情况; 第三步,用记录调零旋钮将记录仪指针调回原处; 第四步,退回衰减,观察记录仪指针移动情况; 第五步,用调零或池平衡旋钮将记录仪指针调回原处。 3 　点火 氢焰气相色谱仪,开机时需要点火,有时因各种原因致使熄火后,也需要点火。然而,我们经常会遇到点火不着的情况。下面介绍两种点火技巧,供同行们相试。 3.1 　加大氢气流量法 先加大氢气流量,点着火后,再缓慢调回工作状况。此法通用。 3.2 　减少尾吹气流量法 先减少尾吹气流量,点着火后,再调回工作状况。此法适用于仍用氢气作载气,用空气作助燃气和尾吹气情况。 4 　气比的调节 氢焰气相色谱仪三气的流量比,有关资料均建议为:氮气∶氢气∶空气= 1∶1∶10 。但由于转子流量计指示流量的不准确性,事实上谁会去苛求这个配比呢? 本人认为,为各气施以良好匹配、目的是既有高的检测器灵敏度又能有较好的分离效果,还不容易熄火。 本着上述原则,气比应按下法调节。 4.1 　氮气流量的调节 在色谱柱条件确定后,样品组分分离效果的好坏,氮气的流量大小是决定因素。调节氮气流量时,要进样观察组分分离情况,直至氮气流量尽可能大且样品组分有较好分离为止。 4.2 　氢气和空气流量的调节 氢气和空气流量的调节效果,可以用基流的大小来检验。先调节氢气流量,使之约等于氮气的流量,再调节空气流量。在调节空气流量时,要观察基流的改变情况。只要基流在增加,仍应相向调节,直至基流不再增加不止。最后,再将氢气流量上调少许。 5 　进样技术 在气相色谱分析中,一般是采用注射器或六通阀门进样。在考虑进样技术的时候,主要是以注射 器进样为对象。 5.1 　进样量 进 样量与气化温度、柱容量和仪器的线性响应范围等因素有关,也即进样量应控制在能瞬间气化,达到规定分离要求和线性响应的允许范围之内。填充柱冲洗法的瞬间 进样量:液体样品或固体样品溶液一般为0.01～10μl ,气体样品一般为011～10ml ,在定量分析中,应注意进样量读数准确。 (1) 排除注射器里所有的空气 用微量注射器抽取液体样品进,只要重复地把液体抽入注射器又迅速把其排回样品瓶,就可做到这一点。 还有一种更好的方法,可以排除注射器里所有的空气。那就是用计划注射量的约2 倍的样品置换注射器3～5 次,每次取到样品后,垂直拿起注射器,针尖朝上。任何依然留在注射器里的空气都应当跑到针管顶部。推进注射器塞子,空气就会被排掉。 (2) 保证进样量的准确 用 经置换过的注射器取约计划进样量2 倍左右的样品,垂直拿起注射器,针尖朝上,让针穿过一层纱布,这样可用纱布吸收从针尖排出的液体。推进注射器塞子,直 到读出所需要的数值。用纱布擦干针尖。至此准确的液体体积已经测得,需要再抽若于空气到注射器里。如果不慎推动柱塞,空气可以保护液体使之不被排走。 5.2 　进样方法 双手拿注射器。用一只手(通常是左手) 反针插入垫片,注射大体积样品(即气体样品) 或输入压力极高时,要防止从气相色谱仪来的压力把柱塞弹出(用右手的大拇指) 。 让针尖穿过垫片尽可能深的进入进样口,压下柱塞停留1～2 秒钟,然后尽可能快而稳地抽出针尖(继续压住柱塞) 。 5.3 　进样时间 进样时间长短对柱效率影响很大。若进样时间过长,遇使色谱区域加宽而降低柱效率。因此,对于冲洗法色谱而言,进样时间越短越好,一般必须小于1 秒钟。]]></description>
			<content:encoded><![CDATA[<p>找生物接受民童鞋的投递，原文链接为http://www.china-bio.com.cn/home/products_view.asp?id=30，感谢分享！<br />
<img class="aligncenter" title="22" src="http://www.51001666.cn/UpFile/image/20091141212771.jpg" alt="" width="400" height="302" /></p>
<p>气相色谱仪是完成气相色谱分析的主要工具,而要体现操作简单的特点,达到快速准确分析的目的,操作者必须具备良好的操作技能。本人根据近二十年使用气相色谱仪的经验,拟出气相色谱仪的操作技巧,供同行们参考。<br />
1 　加热<br />
由于气相色谱仪的生产厂家和质量的不同,给定温度的方式也不相同。对于用微机设数法或拨轮选择法给定温度,一般是直接设数或选择合适给定温度值加以升温。而如果是采用旋钮定位法,则有技巧可言。<br />
1.1 　过温定位法<br />
将温控旋钮调至低于操作温度约30 ℃处,给气相色谱仪升温。当过温至约为操作温度时,配合温<br />
度指示和加热指示灯,再逐渐将温控旋钮调至合适位置。<br />
1.2 　分步递进定位法<br />
将温控旋钮朝升温方向转动一个角度,升温开始,指示灯亮;当温度基本稳定时,再同向转动温控旋钮,开始继续升温;如此递进调节,直至恒温在工作温度上。<br />
2 　调池平衡<br />
调池平衡,实际是调热导电桥平衡,使之有较为合适的输出。讲调节技巧,其实是对具有池平衡、调零和记录调零等调节功能的气相色谱仪而言。<br />
第一步,用池平衡或调零旋钮将记录仪指针调至合适位置;<br />
第二步,自衰减至16 倍左右,观察记录仪指针移动情况;<br />
第三步,用记录调零旋钮将记录仪指针调回原处;<br />
第四步,退回衰减,观察记录仪指针移动情况;<br />
第五步,用调零或池平衡旋钮将记录仪指针调回原处。<br />
3 　点火<br />
氢焰气相色谱仪,开机时需要点火,有时因各种原因致使熄火后,也需要点火。然而,我们经常会遇到点火不着的情况。下面介绍两种点火技巧,供同行们相试。<br />
3.1 　加大氢气流量法<br />
先加大氢气流量,点着火后,再缓慢调回工作状况。此法通用。<br />
3.2 　减少尾吹气流量法<br />
先减少尾吹气流量,点着火后,再调回工作状况。此法适用于仍用氢气作载气,用空气作助燃气和尾吹气情况。<br />
4 　气比的调节<br />
氢焰气相色谱仪三气的流量比,有关资料均建议为:氮气∶氢气∶空气= 1∶1∶10 。但由于转子流量计指示流量的不准确性,事实上谁会去苛求这个配比呢? 本人认为,为各气施以良好匹配、目的是既有高的检测器灵敏度又能有较好的分离效果,还不容易熄火。<br />
本着上述原则,气比应按下法调节。<br />
4.1 　氮气流量的调节<br />
在色谱柱条件确定后,样品组分分离效果的好坏,氮气的流量大小是决定因素。调节氮气流量时,要进样观察组分分离情况,直至氮气流量尽可能大且样品组分有较好分离为止。<br />
4.2 　氢气和空气流量的调节<br />
氢气和空气流量的调节效果,可以用基流的大小来检验。先调节氢气流量,使之约等于氮气的流量,再调节空气流量。在调节空气流量时,要观察基流的改变情况。只要基流在增加,仍应相向调节,直至基流不再增加不止。最后,再将氢气流量上调少许。<br />
5 　进样技术<br />
在气相色谱分析中,一般是采用注射器或六通阀门进样。在考虑进样技术的时候,主要是以注射<br />
器进样为对象。<br />
5.1 　进样量<br />
进 样量与气化温度、柱容量和仪器的线性响应范围等因素有关,也即进样量应控制在能瞬间气化,达到规定分离要求和线性响应的允许范围之内。填充柱冲洗法的瞬间 进样量:液体样品或固体样品溶液一般为0.01～10μl ,气体样品一般为011～10ml ,在定量分析中,应注意进样量读数准确。<br />
(1) 排除注射器里所有的空气<br />
用微量注射器抽取液体样品进,只要重复地把液体抽入注射器又迅速把其排回样品瓶,就可做到这一点。<br />
还有一种更好的方法,可以排除注射器里所有的空气。那就是用计划注射量的约2 倍的样品置换注射器3～5 次,每次取到样品后,垂直拿起注射器,针尖朝上。任何依然留在注射器里的空气都应当跑到针管顶部。推进注射器塞子,空气就会被排掉。<br />
(2) 保证进样量的准确<br />
用 经置换过的注射器取约计划进样量2 倍左右的样品,垂直拿起注射器,针尖朝上,让针穿过一层纱布,这样可用纱布吸收从针尖排出的液体。推进注射器塞子,直 到读出所需要的数值。用纱布擦干针尖。至此准确的液体体积已经测得,需要再抽若于空气到注射器里。如果不慎推动柱塞,空气可以保护液体使之不被排走。<br />
5.2 　进样方法<br />
双手拿注射器。用一只手(通常是左手) 反针插入垫片,注射大体积样品(即气体样品) 或输入压力极高时,要防止从气相色谱仪来的压力把柱塞弹出(用右手的大拇指) 。<br />
让针尖穿过垫片尽可能深的进入进样口,压下柱塞停留1～2 秒钟,然后尽可能快而稳地抽出针尖(继续压住柱塞) 。<br />
5.3 　进样时间<br />
进样时间长短对柱效率影响很大。若进样时间过长,遇使色谱区域加宽而降低柱效率。因此,对于冲洗法色谱而言,进样时间越短越好,一般必须小于1 秒钟。</p>
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		</item>
		<item>
		<title>发酵罐日常使用操作技巧</title>
		<link>http://www.91bio.com/fermenter-daily-operating-skills/</link>
		<comments>http://www.91bio.com/fermenter-daily-operating-skills/#comments</comments>
		<pubDate>Tue, 14 Feb 2012 05:12:08 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[发酵罐]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645837</guid>
		<description><![CDATA[本文转载自江苏科海网站www.keehai.com。 日常使用发酵罐需要注意哪些操作技巧，江苏科海根据多年的经验在发酵罐这条路上经过实践技术的验证总结出了很多发酵罐日常使用的一些技巧和方法。 1、发酵罐必须确保所有单件设备能正常运行时使用本系统。 2、发酵罐在消毒过滤器时，流经空气过滤器的蒸汽压力不得超过0.17MPa，否则过滤器滤芯会被损坏，失去过滤能力。 3、发酵罐在发酵过程中，应确保罐压不超过0.17MPa。 4、发酵罐在实消过程中，夹套通蒸汽预热时，必须控制进汽压力在设备的工作压力范围内，否则会引起发酵罐的损坏。 5、发酵罐在空消及实消时，一定要排尽发酵罐夹套内的余水。否则可能会导致发酵罐内筒体压扁，造成设备损坏；在实消时，还会造成冷凝水过多导致培养液被稀释，从而无法达到工艺要求。 做好以上5点可以有效避免发酵罐在日常使用中遇到很多是技术难题，希望发酵罐使用的朋友们，多多参考以上的注意事项，给自己减少很多不必要的损失和麻烦。]]></description>
			<content:encoded><![CDATA[<p>本文转载自江苏科海网站www.keehai.com。<br />
日常使用发酵罐需要注意哪些操作技巧，江苏科海根据多年的经验在发酵罐这条路上经过实践技术的验证总结出了很多发酵罐日常使用的一些技巧和方法。</p>
<p>1、发酵罐必须确保所有单件设备能正常运行时使用本系统。<br />
2、发酵罐在消毒过滤器时，流经空气过滤器的蒸汽压力不得超过0.17MPa，否则过滤器滤芯会被损坏，失去过滤能力。<br />
3、发酵罐在发酵过程中，应确保罐压不超过0.17MPa。<br />
4、发酵罐在实消过程中，夹套通蒸汽预热时，必须控制进汽压力在设备的工作压力范围内，否则会引起发酵罐的损坏。<br />
5、发酵罐在空消及实消时，一定要排尽发酵罐夹套内的余水。否则可能会导致发酵罐内筒体压扁，造成设备损坏；在实消时，还会造成冷凝水过多导致培养液被稀释，从而无法达到工艺要求。    </p>
<p>    做好以上5点可以有效避免发酵罐在日常使用中遇到很多是技术难题，希望发酵罐使用的朋友们，多多参考以上的注意事项，给自己减少很多不必要的损失和麻烦。</p>
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		</item>
		<item>
		<title>DreamLab宜康生物客服的视频</title>
		<link>http://www.91bio.com/dreamlab-yikang-biological-customer-video/</link>
		<comments>http://www.91bio.com/dreamlab-yikang-biological-customer-video/#comments</comments>
		<pubDate>Wed, 08 Feb 2012 11:25:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645830</guid>
		<description><![CDATA[这个是宜康生物客服带给大家的新年礼物，视频中用搞怪的手法展示了生物人的生物实验，极具创意，不得不赞叹一个啊！牛B的生物人。 关于宜康生物：宜康（杭州）生物技术有限公司是美国EPITOMICS公司在中国成立的一家专业从事生产、研发、销售兔单克隆抗体及相关产品的全资子公司。EPITOMICS公司总部位于美国加州Burlingame。公司独家拥有开创性的兔单克隆抗体技术（RabMab）的全球专利，并利用这一核心技术开发生产高质量的兔单克隆抗体产品，目前已广泛应用于科研和诊断领域。呵呵，不是做广告啊！]]></description>
			<content:encoded><![CDATA[<p><embed src="http://player.youku.com/player.php/sid/XMzQ0NjA0MjIw/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed></p>
<p>这个是宜康生物客服带给大家的新年礼物，视频中用搞怪的手法展示了生物人的生物实验，极具创意，不得不赞叹一个啊！牛B的生物人。<br />
关于宜康生物：宜康（杭州）生物技术有限公司是美国EPITOMICS公司在中国成立的一家专业从事生产、研发、销售兔单克隆抗体及相关产品的全资子公司。EPITOMICS公司总部位于美国加州Burlingame。公司独家拥有开创性的兔单克隆抗体技术（RabMab）的全球专利，并利用这一核心技术开发生产高质量的兔单克隆抗体产品，目前已广泛应用于科研和诊断领域。呵呵，不是做广告啊！</p>
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		<item>
		<title>围脖上的几篇关于生物的笑话</title>
		<link>http://www.91bio.com/collar-on-a-few-jokes-about-the-biological/</link>
		<comments>http://www.91bio.com/collar-on-a-few-jokes-about-the-biological/#comments</comments>
		<pubDate>Tue, 07 Feb 2012 11:29:20 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物笑话]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645826</guid>
		<description><![CDATA[今天找生物发现在围脖上还有个@生物学笑话的微博，找生物特转载几篇过来。 感谢@生物学笑话，如果您也喜欢，可以关注他！ &#160;]]></description>
			<content:encoded><![CDATA[<p>今天找生物发现在围脖上还有个@<a title="@生物学笑话" href="http://weibo.com/u/2705579942" target="_blank">生物学笑话</a>的微博，找生物特转载几篇过来。</p>
<p><img class="alignnone" title="22" src="http://joke.cnball.net/attachments/images/c090322/123m05kne50-15q64.jpg" alt="" width="398" height="499" /><br />
<div class='et-box et-shadow'>
					<div class='et-box-content'>扬眉吐气 骡子由于出身不是很好，自己又不能生育，一直活的灰溜溜的。忽然有一天，它穿戴一新，在大街上抖毛打滚，别人问他怎么回事，它乐呵呵地：“能克隆了。我可以有自己的孩子了，先锻炼一下腹肌，以免难产。”</div></div></p>
<div class='et-box et-shadow'>
					<div class='et-box-content'>生物题的时候总会碰到用俗语描述的问题。比如要是考遗传，描述植物会用到“种瓜得瓜，种豆得豆”，描述动物会说“龙生龙，凤生风，老鼠生儿会打洞”。那形容人类遗传的俗语有吗？我苦思冥想了一节课终于找到了一句“老子英雄儿好汉，老子反动儿混蛋”。</div></div>
<div class='et-box et-shadow'>
					<div class='et-box-content'>有一只老虎感冒了，想要吃掉熊猫。熊猫哭了：“你感冒了，干嘛要吃掉我呢？”老虎说：“广告上都说了，感冒就要吃白加黑！”</div></div>
<div class='et-box et-shadow'>
					<div class='et-box-content'>一个搞生物研究的女外星人来到地球,觉得人类基因有不少可借鉴之处,于是她抓了个男人,想把他和关于人类基因的文本资料一起带回。可飞船体积小,没法带他 走，资料过于庞大,。飞船的电脑帮助系统道：“这人身上有小小的棒子即可解决你所有问题”她才恍然大悟,笑着留着口水对那个男人说：“把U盘给我！”[找生物注这个好内涵啊！]</div></div>
<div class='et-box et-shadow'>
					<div class='et-box-content'>有个mRNA，觉得自己很孤单，就拉个核糖体过来翻译个蛋白给自己作伴，翻译好之后对蛋白说：“你好，我是你的模板。”蛋白说：“你好，我是 RNase。”</div></div>
<p>感谢@生物学笑话，如果您也喜欢，可以关注他！</p>
<p>&nbsp;</p>
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		</item>
		<item>
		<title>2011年世界生物技术看一看</title>
		<link>http://www.91bio.com/2011-biotechnology-look-at-the/</link>
		<comments>http://www.91bio.com/2011-biotechnology-look-at-the/#comments</comments>
		<pubDate>Fri, 03 Feb 2012 12:22:46 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[资讯]]></category>
		<category><![CDATA[生物]]></category>
		<category><![CDATA[生物技术]]></category>

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		<description><![CDATA[本文为找生物转载的一篇总结文章，原文链接 &#160; 美国 成就显著；世界上第一束生物激光问世；探索干细胞之源、分离出单个血液干细胞；揭示艾滋病病毒进入细胞核的机理、寻找抗病毒的新途径。 科学家们人工合成出两个染色体片断，并将其放入活酵母菌体内存活下来，未出现明显异常。这是首次成功合成真核生物的部分基因组，是该领域里程碑式的成果。科学家计划在未来5年内以人造基因组取代酵母菌的所有基因组，让其进化出新菌株。 科学家通过抑制被致癌基因所编码的p53蛋白的表达，成功地将人体的皮肤细胞变为脑细胞，这表明癌细胞和干细胞或有相同起源。 美研究人员成功利用表达了绿色荧光蛋白（GFP）的肾脏细胞，产生了一种纳秒级的激光脉冲，用单个活细胞作为增益介质，制成首个活细胞激光器。利用其可分析最后得到的光来研究细胞和机体组织；亦可在以光照激发药效的疗法中增加效果。 在干细胞为人所知近50年后，科学家利用流式细胞技术，首次隔离出单个人类血液干细胞。 美国科学家首次使用由成人的皮肤及血液中提取的干细胞培育出成熟的肝脏细胞，并用其来治疗罹患肝硬化的老鼠，结果显示，这些细胞的表现可媲美正常的肝脏细胞。 科 学家发现艾滋病病毒衣壳可与细胞核孔复合体上的Nup358蛋白绑定，进而让病毒进入细胞核与DNA结合。阻断该路径或将成为对抗艾滋病的新方法；研究人 员找到了细胞因子SAMHD1蛋白，可有效干预病毒核酸的产生从而抑制骨髓细胞感染HIV；科学家发现将HIV病毒外膜中的胆固醇去除，能阻止病毒引发非 特异性免疫反应。 同时，科学家意外发现能破坏HIV病毒的新化合物PD 404182，能在病毒感染细胞之前将其杀死。美研究小组开发出以腺病毒（AAV）为载体的基因疗法，能使小鼠肌肉细胞产生多种强效中和性HIV病毒抗 体，保护它们免受感染；多家美国机构合作分离出了17种能广泛中和艾滋病病毒（HIV）变种的新抗体。 美国和日本科学家将抗猴艾滋病病毒的恒河猴基因和在紫外线照射下会发绿色荧光的水母基因注射到未受精的猫科动物卵子中，培育出3只转基因荧光猫都能对抗FIV。该研究可推动人类艾滋病疫苗及新疗法的研发。 科学家找到了传递细胞信号的第5个衔接蛋白，这将改变细胞生物学研究的面貌。科学家首次使用人造基因合成出可维持活细胞生长的人造蛋白质，其功能同自然界中存在的蛋白质相同，证明非天然的蛋白质也能维持天然有机体系统的生命。 科学家分离出5个甲型H1N1流感病毒抗体，可对抗过去10年出现的季节性H1N1流感病毒株、1918年“西班牙流感”病毒株及致命H5N1禽流感病毒株等。该成果有助研发出通用流感疫苗和一次注射即可终身免疫的疫苗。 美国斯隆凯特琳癌症中心开发的“vemurafenib”以及施贵宝制药公司研制的“Ipilumumab”抗体药物能减缓肿瘤恶化，显著提高晚期黑色素瘤患者存活率。 科学家在人类遗传物质中发现命名为“前核小体”的新物质，它是位于染色质和核小体之间的中间物质。 科学家找到了DNA的第7种、第8种碱基，并在人体胚胎干细胞和实验老鼠器官染色体组的DNA中发现了这两个碱基的踪迹，该发现对干细胞和癌症研究非常重要。 英国 基因测序与新基因研究双丰收；发现多种新的致病基因；干细胞研究有新突破；疾病研究与治疗成果显著。 英国科学家参与完成的基因测序工作主要有：成功绘制出一种马铃薯的基因图谱；成功描绘出小鼠大脑基因活性的完整图谱。 英 国科学家在寻找与人类疾病相关的致病基因成果颇多，主要包括：发现两个与特发性膜性肾病密切相关的基因——PLA2R1和HLA-DQA1；发现乳腺癌致 癌基因——ZNF703；确认了29个与多发性硬化症相关的基因变异，其中多个基因与人体免疫系统有关；发现新的卵巢癌致病基因——RAD51D，称拥有 该基因缺陷的女性及早切除卵巢或许是一种可行的防病手段；找到与运动神经元疾病相关新基因——C9orf72基因；确认了多个可导致精神分裂症和双相性精 神障碍的遗传风险因子，并发现这两种精神病间存在着遗传重叠。 英国科学家在干细胞研究方面依然成果显著：使用Tβ4蛋白，成功地将小鼠心脏中的 一种具有干细胞特性的细胞——祖细胞转换成心肌；利用实验鼠的卵细胞，在世界上首次成功培育出哺乳动物的单倍体胚胎干细胞；通过六个调控因子，成功地将诱 导皮肤细胞等人体细胞重组成干细胞的速度提高，使获得干细胞的效率“提高了100倍”；培育出首批高纯度人体胚胎干细胞，成为科学家们用于治疗退行性疾病 的干细胞“黄金标准”。 在疾病研究治疗方面：发现核磁共振成像扫描与脑脊髓液检测两种手段结合使用，可更有效诊断早期阿尔茨海默氏症；研发出一种能让药物突破血脑屏障的方法，将药物直接递送入大脑细胞内，从而攻克了治疗阿尔茨海默病、帕金森病和肌肉萎缩症的重大障碍；证实 安 慰剂与反安慰剂效应确可对大脑的某一特定区域产生作用，并对最终疗效产生影响；开发出一种可识别结核杆菌的单克隆抗体，该抗体与干扰素结合使用可有效对抗 肺结核感染；发现一种全新的“心肌修补”方法：通过注射特定的生长因子，修复心脏病发作带来的心肌损伤；利用分子生物学技术改造秋水仙素在细胞内的信号应 答系统，使其能够特异性攻击肿瘤细胞；利用人的羊水和动物的胚胎细胞培育出人体肾脏；首次开发出一种由DNA制造的分子“笼子”，使其有望成为一种有效的 药物递送新方法；探明人体内SAMHD1的蛋白质对抗艾滋病病毒的原理，有望在此基础上开发出新的艾滋病治疗方法。 发现了人体酸碱调节蛋白；完成了包含2个基因片段的新基因结构构建；研制出一种可诊断出多种疾病的独特仪器。 俄科学家发现了人体酸碱调节蛋白，其调节功能类似于胰岛素，能使不同食物结构的人的体液维持在相似的正常酸碱范围内。该发现对于研究人体蛋白、人体重要器官以及人体酸碱值的形成意义重大，将有助于研制出治疗多种疾病的新一代药物。 完 成了包含2个基因片段的新基因结构构建，其中一个是挑选出的用于杀灭癌细胞的基因片段，另一个是激发机体抗肿瘤免疫力的基因片段。该研究将能够杀死癌细胞 的普通疱疹病毒 (HSVtk) 和粒细胞—巨噬细胞克隆刺激因子（GM-CSF）合成为一个基因载体，从而提高了在肿瘤细胞中基因重合的几率，为治疗肿瘤疾病提供了可能。 研制 出一种可诊断出多种疾病的独特仪器。该仪器只需通过对一滴血进行化验，即可诊断出早期高血压、代谢综合征、肿瘤、神经性疾病等许多过去需要很长时间才能诊 断的危险疾病。该仪器的工作原理基于对琥珀酸脱氢酶的活性分析。只需对少量患者血液进行检测，就能够获得琥珀酸脱氢酶的活性分析结果，从而为疾病诊断提供 重要依据。 德 国 发现细胞中存在一种新的信号通道；发现13个冠心病的风险基因；研发出一种可以让所有光谱颜色都在细胞中受激发光的方法。 发现细胞中存在一种新的信号通道，可根据细胞当前的代谢状态对蛋白进入线粒体进行调节。 [...]]]></description>
			<content:encoded><![CDATA[<p>本文为找生物转载的一篇总结文章，<a href="http://www.btl-ch.com/ShowNewsDetails.Asp?NewsId=2437" target="_blank">原文链接</a></p>
<p><img title="21" src="http://www.cnenzyme.com/UploadFiles/News/20090624163805.jpg" alt="" width="230" height="222" /></p>
<p>&nbsp;<br />
美国<br />
成就显著；世界上第一束生物激光问世；探索干细胞之源、分离出单个血液干细胞；揭示艾滋病病毒进入细胞核的机理、寻找抗病毒的新途径。<br />
科学家们人工合成出两个染色体片断，并将其放入活酵母菌体内存活下来，未出现明显异常。这是首次成功合成真核生物的部分基因组，是该领域里程碑式的成果。科学家计划在未来5年内以人造基因组取代酵母菌的所有基因组，让其进化出新菌株。<br />
科学家通过抑制被致癌基因所编码的p53蛋白的表达，成功地将人体的皮肤细胞变为脑细胞，这表明癌细胞和干细胞或有相同起源。<br />
美研究人员成功利用表达了绿色荧光蛋白（GFP）的肾脏细胞，产生了一种纳秒级的激光脉冲，用单个活细胞作为增益介质，制成首个活细胞激光器。利用其可分析最后得到的光来研究细胞和机体组织；亦可在以光照激发药效的疗法中增加效果。<br />
在干细胞为人所知近50年后，科学家利用流式细胞技术，首次隔离出单个人类血液干细胞。<br />
美国科学家首次使用由成人的皮肤及血液中提取的干细胞培育出成熟的肝脏细胞，并用其来治疗罹患肝硬化的老鼠，结果显示，这些细胞的表现可媲美正常的肝脏细胞。<br />
科 学家发现艾滋病病毒衣壳可与细胞核孔复合体上的Nup358蛋白绑定，进而让病毒进入细胞核与DNA结合。阻断该路径或将成为对抗艾滋病的新方法；研究人 员找到了细胞因子SAMHD1蛋白，可有效干预病毒核酸的产生从而抑制骨髓细胞感染HIV；科学家发现将HIV病毒外膜中的胆固醇去除，能阻止病毒引发非 特异性免疫反应。<br />
同时，科学家意外发现能破坏HIV病毒的新化合物PD 404182，能在病毒感染细胞之前将其杀死。美研究小组开发出以腺病毒（AAV）为载体的基因疗法，能使小鼠肌肉细胞产生多种强效中和性HIV病毒抗 体，保护它们免受感染；多家美国机构合作分离出了17种能广泛中和艾滋病病毒（HIV）变种的新抗体。<br />
美国和日本科学家将抗猴艾滋病病毒的恒河猴基因和在紫外线照射下会发绿色荧光的水母基因注射到未受精的猫科动物卵子中，培育出3只转基因荧光猫都能对抗FIV。该研究可推动人类艾滋病疫苗及新疗法的研发。<br />
科学家找到了传递细胞信号的第5个衔接蛋白，这将改变细胞生物学研究的面貌。科学家首次使用人造基因合成出可维持活细胞生长的人造蛋白质，其功能同自然界中存在的蛋白质相同，证明非天然的蛋白质也能维持天然有机体系统的生命。<br />
科学家分离出5个甲型H1N1流感病毒抗体，可对抗过去10年出现的季节性H1N1流感病毒株、1918年“西班牙流感”病毒株及致命H5N1禽流感病毒株等。该成果有助研发出通用流感疫苗和一次注射即可终身免疫的疫苗。<br />
美国斯隆凯特琳癌症中心开发的“vemurafenib”以及施贵宝制药公司研制的“Ipilumumab”抗体药物能减缓肿瘤恶化，显著提高晚期黑色素瘤患者存活率。<br />
科学家在人类遗传物质中发现命名为“前核小体”的新物质，它是位于染色质和核小体之间的中间物质。<br />
科学家找到了DNA的第7种、第8种碱基，并在人体胚胎干细胞和实验老鼠器官染色体组的DNA中发现了这两个碱基的踪迹，该发现对干细胞和癌症研究非常重要。<br />
英国<br />
基因测序与新基因研究双丰收；发现多种新的致病基因；干细胞研究有新突破；疾病研究与治疗成果显著。<br />
英国科学家参与完成的基因测序工作主要有：成功绘制出一种马铃薯的基因图谱；成功描绘出小鼠大脑基因活性的完整图谱。<br />
英 国科学家在寻找与人类疾病相关的致病基因成果颇多，主要包括：发现两个与特发性膜性肾病密切相关的基因——PLA2R1和HLA-DQA1；发现乳腺癌致 癌基因——ZNF703；确认了29个与多发性硬化症相关的基因变异，其中多个基因与人体免疫系统有关；发现新的卵巢癌致病基因——RAD51D，称拥有 该基因缺陷的女性及早切除卵巢或许是一种可行的防病手段；找到与运动神经元疾病相关新基因——C9orf72基因；确认了多个可导致精神分裂症和双相性精 神障碍的遗传风险因子，并发现这两种精神病间存在着遗传重叠。<br />
英国科学家在干细胞研究方面依然成果显著：使用Tβ4蛋白，成功地将小鼠心脏中的 一种具有干细胞特性的细胞——祖细胞转换成心肌；利用实验鼠的卵细胞，在世界上首次成功培育出哺乳动物的单倍体胚胎干细胞；通过六个调控因子，成功地将诱 导皮肤细胞等人体细胞重组成干细胞的速度提高，使获得干细胞的效率“提高了100倍”；培育出首批高纯度人体胚胎干细胞，成为科学家们用于治疗退行性疾病 的干细胞“黄金标准”。<br />
在疾病研究治疗方面：发现核磁共振成像扫描与脑脊髓液检测两种手段结合使用，可更有效诊断早期阿尔茨海默氏症；研发出一种能让药物突破血脑屏障的方法，将药物直接递送入大脑细胞内，从而攻克了治疗阿尔茨海默病、帕金森病和肌肉萎缩症的重大障碍；证实<br />
安 慰剂与反安慰剂效应确可对大脑的某一特定区域产生作用，并对最终疗效产生影响；开发出一种可识别结核杆菌的单克隆抗体，该抗体与干扰素结合使用可有效对抗 肺结核感染；发现一种全新的“心肌修补”方法：通过注射特定的生长因子，修复心脏病发作带来的心肌损伤；利用分子生物学技术改造秋水仙素在细胞内的信号应 答系统，使其能够特异性攻击肿瘤细胞；利用人的羊水和动物的胚胎细胞培育出人体肾脏；首次开发出一种由DNA制造的分子“笼子”，使其有望成为一种有效的 药物递送新方法；探明人体内SAMHD1的蛋白质对抗艾滋病病毒的原理，有望在此基础上开发出新的艾滋病治疗方法。</p>
<div><div class='et-box et-shadow'>
					<div class='et-box-content'>俄罗斯</div></div><br />
发现了人体酸碱调节蛋白；完成了包含2个基因片段的新基因结构构建；研制出一种可诊断出多种疾病的独特仪器。<br />
俄科学家发现了人体酸碱调节蛋白，其调节功能类似于胰岛素，能使不同食物结构的人的体液维持在相似的正常酸碱范围内。该发现对于研究人体蛋白、人体重要器官以及人体酸碱值的形成意义重大，将有助于研制出治疗多种疾病的新一代药物。<br />
完 成了包含2个基因片段的新基因结构构建，其中一个是挑选出的用于杀灭癌细胞的基因片段，另一个是激发机体抗肿瘤免疫力的基因片段。该研究将能够杀死癌细胞 的普通疱疹病毒 (HSVtk) 和粒细胞—巨噬细胞克隆刺激因子（GM-CSF）合成为一个基因载体，从而提高了在肿瘤细胞中基因重合的几率，为治疗肿瘤疾病提供了可能。<br />
研制 出一种可诊断出多种疾病的独特仪器。该仪器只需通过对一滴血进行化验，即可诊断出早期高血压、代谢综合征、肿瘤、神经性疾病等许多过去需要很长时间才能诊 断的危险疾病。该仪器的工作原理基于对琥珀酸脱氢酶的活性分析。只需对少量患者血液进行检测，就能够获得琥珀酸脱氢酶的活性分析结果，从而为疾病诊断提供 重要依据。</div>
<div>德 国<br />
发现细胞中存在一种新的信号通道；发现13个冠心病的风险基因；研发出一种可以让所有光谱颜色都在细胞中受激发光的方法。<br />
发现细胞中存在一种新的信号通道，可根据细胞当前的代谢状态对蛋白进入线粒体进行调节。<br />
通过对世界范围的2.2万名冠心病患者和6.5万名健康人的研究，发现13个冠心病的风险基因；研发出一种方法，可以让所有光谱颜色都在细胞中受激发光，因此可以用不同的颜色标记细胞，进而更加准确地观察细胞的生物学行为。<br />
成功用合成材料5-氯尿嘧啶替换掉细菌中包含遗传信息的胸腺嘧啶，从而制造出新的细菌。<br />
发现1347年到1351年在欧洲肆虐的“黑死病”是由一种目前已经灭绝的鼠疫耶尔森氏菌导致的。科学家们还破译并完整重构了该病原体的基因组。<br />
提出了另一种治疗老年痴呆症的新途径：通过激活特定的传输蛋白可以在致病蛋白造成伤害之前将其排出大脑外。<br />
利用核磁共振（NMR）谱发现热休克蛋白HSP90和p53蛋白相互作用的两个结合位点和作用机制。</div>
<div>
<p>加拿大<br />
合作发现了第5种衔接蛋白；首次隔离出单个人类血液干细胞；发现一种称为PML的分子可以限制癌细胞自身复制的次数。<br />
加拿大科学家与英国同行合作发现了第5种衔接蛋白。学界长期认为，4个衔接蛋白参与了细胞内外以及周围信息的整合与传递。但现在，科学家们找到了第5个衔接蛋白。这一发现将修改教科书并改变细胞生物学研究的面貌。<br />
首 次隔离出单个人类血液干细胞，其能让整个血液系统再生。最新突破能让科学家更有效地治疗癌症和其他疾病。加科学家隔离出的这个单细胞能制造出整个血液系 统，这是干细胞在临床应用领域发挥其最大潜能的关键。最新发现有助于科学家们制造出足够多的干细胞以用于更多临床，并进一步实现再生医学的各种美好愿景。<br />
发现癌细胞虽然可以通过自身复制一分为二，但是一种称为PML的分子可以限制癌细胞自身复制的次数。研究证明，恶性肿瘤难以对付PML分子的存 在，这意味着如果没有PML分子存在，恶性肿瘤就可以持续生长并最终扩散到其他器官。而更重要的是，PML分子的存在可以容易地被探测到，有可能被用于诊 断肿瘤是否恶性。<br />
发现在小鼠食用富含动物脂肪且缺乏ω-3脂肪酸的饲料之后，其大脑中与阿尔兹海默症相关的神经标记发生了显著恶化。该发现可让人们更多了解ω-3脂肪酸的益处，多摄入以预防早老年痴呆症的发生。</p>
<p>法 国<br />
干细胞人造血首入人体；肝炎药物研究取得临床进展；发现控制饮食可延长线虫寿命；新型艾滋病疫苗实验成功。<br />
法国科学家首次成功地将实验室中用造血干细胞培育出的人造血输入人体内，而其表现与正常血液一样。<br />
该结果表明，未来我们或可以获得无限量供应的血液，且这不是血液替代品，而是人工方法制造出的真正血液。<br />
对急性肝炎药物展开临床试验。这种药物由重组的蛋白质构成，它不但能帮助肝细胞抵御加速衰老和死亡的侵袭，还可以刺激细胞再生。<br />
通过实验发现，控制线虫的饮食可以大大延长这种生物的寿命。这一发现对哺乳动物也有借鉴意义。<br />
研制的一种新型艾滋病疫苗在雌性猕猴身上实验成功。实验结果表明，疫苗能够有效防止艾滋病通过性途径传播。<br />
发现鼻炎会明显影响人们患哮喘的几率。<br />
法国食品、环境和职业健康安全局发布报告称，一些常见减肥方法会导致人体营养摄入不平衡，从而损害身体健康。<br />
利用干细胞重组的办法，成功地使一些百岁老人的细胞年轻化，由此证实人可以“返老还童”。</p>
<p>日本<br />
解开了视神经受损后难以复原的原因；成功用显微镜观测到活细胞的内部细微构造；发现了导致青春期突发性脊柱侧弯症的基因。<br />
证实了导致虫牙的一种叫“GSase”酶的立体构造。“GSase”可产生齿垢，不但导致虫牙，而且是导致口臭、牙周病以及误咽性肺 炎的原因之一。解开了制造IgA抗体的新原理，有助于开发出粘膜疫苗。解开了视神经受损后难以复原的原因，并利用大鼠实验成功使视神经实现了再生。开发出 新的IPS细胞制作方法，该方法不但效率高，而且产生癌细胞的危险也大大降低。<br />
成功用显微镜观测到活细胞的内部细微构造，对于未来在细胞级别理 解生命现象将发挥重大作用。证实迄今为止功能不明的脑内“微核糖核酸”其实同与记忆有关的海马神经回路以及视网膜神经细胞的形成存在密切关系，这项研究成 果对于探明癫痫以及自闭症等精神疾病的成因具有重要意义。<br />
发现了导致青春期突发性脊柱侧弯症的基因。该病症的患者多为十几岁的年轻人，此次的研究成果对于研究病理并找出新的治疗方法具有积极意义。<br />
利用猴子实验证实，对大脑基底核的某个区域进行药物治疗，可以大大提高治疗帕金森症的效果。该研究成果可以大大拓展治疗帕金森症的手段，为患者带来福音。<br />
判明了分解甲烷的微生物酶的立体构造。利用这项研究成果，不但解释了大气中甲烷浓度一直都比较低的原因，而且对于未来寻找降低自然界中甲烷发生量的方法非常有帮助。</p>
<p><div class='et-box et-shadow'>
					<div class='et-box-content'>以色列</div></div><br />
生物医药是传统强项，今年以来，以生物医药领域在疑难病病理及防治方面取得较大进展。<br />
揭示了促使β细胞再生的生物机理，首次发现β细胞再生与葡萄糖激酶的关系，据此可开发出对葡萄糖激酶进行调节的新药，对治疗Ⅰ型糖尿病有现实意义。<br />
发现一种可以延缓衰老的蛋白质或许也可以防治胰腺癌。这种称为克罗托的蛋白质是大脑和肾脏产生的一种天然激素，具有阻止癌细胞分化的作用。<br />
发现主动去除B淋巴细胞，可以改变细胞的自动调节能力，导致B淋巴细胞慢性缺乏症。<br />
开发出一种通过测量生物电阻变化来监测糖尿病病情的非侵入式血糖监测装置。发现一种称为PTPe的蛋白质在肥胖中起关键作用。研发了一种治疗慢性伤口的药物，可使化脓数月甚至更长的伤口愈合。<br />
在医学仿生和医疗设备研发方面也取得一些新突破。开发出一种嵌入式微型电子仿生视网膜。在医疗设备研发方面，以色列布莱斯维医疗器械公司开发出一种可戒除对赌博、吸烟、吸毒上瘾的新型电磁治疗设备。<br />
此外，2011年以色列生物医药领域另一个比较富有新意的动向是将民用研发产品用于医疗领域。首次将最新款的iPad与医疗信息系统相连，使这一新潮电子产品变成了医务人员手中便捷的远程医疗工具。</p>
</div>
<div><div class='et-box et-shadow'>
					<div class='et-box-content'>乌克兰</div></div><br />
研究出肝素结合的类表皮生长因子的各种重组体衍生物；确定了脂肪氧合酶和泛素基因以及人源蛋白酶亚基的抑制作用。<br />
研究出肝素结合的类表皮生长因子（HB EGF）的各种重组体衍生物，并确定了它们与各种配体的相互作用。<br />
通过RNA干扰法，确定了脂肪氧合酶和泛素基因以及人源蛋白酶体亚基的抑制作用。<br />
在医学领域，开发了纠正心脏和血管机能不足的新方法，以及用于预防冠状动脉分流术后的心肌梗塞的新方法；制定了喉癌诊断标准，确定了这类患者的放射疗法和组合疗法的功效；制定了胸腔组织恶性肿瘤患者的新治疗方法。<br />
对乌克兰地区的转基因植物种植进行风险评估的理论原则探究工作已展开；发现直接从外植体再生植株能完全保存原基因组，而源自组织培养的植株则会出现遗传差异。<br />
研制出能生产人乳铁蛋白的大麦转基因株系，以及一种新型油菜株系，不仅能抵抗抗草铵膦铵除草剂，而且含有更高的总可溶性蛋白容量和优化脂质成分。揭示了植物适应微重力条件下的细胞机制。<br />
撰写了山羊草的GLI-MB1等位基因位点的目录编制草案，并将新的等位基因补充至Glu-U1和Glu-Mb1谷蛋白大分子亚基的位点的等位基因目录。<br />
研发并实施了针对主要作物的高效除草技术，以保证种植环境的安全；发现放射性污染下，出现新型高致命植物病原体的风险增加。<br />
有108种新的低等和高等植物、真菌和无脊椎动物被纳入新发现物种。研制出32种新品和杂交的水果及工业用、装饰用谷物类作物，并被列入乌克兰国家注册的可培育植物种类。<br />
开发出控制最常见和最危险的人类与动物疾病的新方法；配制新医药制剂的科学基础及其治疗用途和输入体内的有效系统，正处于开发之中。<br />
开发出肝脏保护器并获得临床前测试；开发出生物惰性聚合物支架涂料。</div>
<div>韩国<br />
韩国在促进生物技术发展的过程中，更看重医疗领域的实际应用，并在2011年取得了在癌症研究和干细胞研究领域上的突破。<br />
7年前曾因论文造假而名声扫地的韩国科学家黄禹锡团队利用狗的卵子，将郊狼的细胞去除核后移植于狗的卵子里，成功异种克隆了8只郊狼。与此前克隆实验都介于同种动物之间相比，黄禹锡团队首次实现了异种动物之间高成功率的克隆。<br />
发现了导致肺癌的因子AIMP2-DX2。AIMP2-DX2是AIMP2蛋白质的一种变异体，对已患肺癌白鼠的AIMP2-DX2进行遏制，病情得到有效控制，发现肺癌的进展与AIMP2-DX2的增长密切相关，证实了AIMP2-DX2是治疗肺癌的重要目标因子。<br />
成功开发了可在短时间内正确分析遗传基因信息的下一代遗传基因分析技术，可迅速而准确地分析大量遗传基因信息。该技术可将遗传基因分子链条长度拉长为接近理论长度90%的19微米，并将其放入纳米通道进行分析，正确度比以往提高了1.5倍。<br />
首次批准用胚胎干细胞研制的细胞治疗药物进行临床试验。此次临床试验是针对“斯特格黄斑变性病”进行的一期试验。斯特格黄斑变性病是一种罕见的失明症，主要出现在青少年时期，至今尚无有效疗法。</div>
<div>巴 西<br />
2011年，在政府有关政策推动下，巴西各大学、科研机构在生物技术领域的研究获得了显著进展。<br />
批准两项涉及转基因的科研项目，一项是关于以5种基因结合的方式培育转基因玉米品种MONхTC1507хNK603，批准对这种 玉米进行种植、食用、贸易、运输、进出口、育种。第二个批准的项目是允许研究开发一种转基因蚊子，以对付巴西的登革热疫病。委员会同时还批准，耐受除草剂 草甘磷的转基因棉花GHB614可上市交易，另外抗御虫害并耐受草甘磷的MON88017转基因玉米可进行贸易及育种。<br />
巴西转基因技术研发有明显进展。自2009年，巴西超过阿根廷，成为继美国之后采用转基因技术播种农作物的世界第二大国。<br />
对因创伤引起的脊髓功能受损进行干细胞治疗以使感觉恢复的方法，在经过两年的动物实验后，开始进行人体试验。这种治疗方法将从患者本人骨盆骨髓中提取类似纤维干细胞，并直接用于创伤区域。<br />
利用一种可“引导”成人干细胞回归胚胎状态的技术，在实验室里复制成功一名痴呆症患者的神经元。</div>
<div>南非<br />
泰诺福韦凝胶临床实验为妇女避免艾滋病毒感染带来了希望；在纳米药物输送技术研究方面取得新进展。<br />
艾滋病和肺结核是困扰南非的两大传染性疾病，南非科技部将适配子（Aptamer）技术列入有重大应用前景的技术加以重点扶持，并 在南非科技与工业研究院(CSIR)建立起P3实验室，重点针对艾滋病毒和肺结核进行诊断、靶位验证、靶位药物输送技术等专门研究。目前已开发出基于适配 子技术的肺结核病即时诊断包、微生物杀菌剂、艾滋病毒进入抑制剂，以及能使母乳中的艾滋病毒失活的奶嘴罩等。<br />
CAPRISA 004号泰诺福韦凝胶临床实验为妇女避免艾滋病毒感染带来了希望，南非和美国正在对CAPRISA 004的效果作进一步验证。南非科技部已经获得了CAPRISA 004的专利使用权，并研究如何实现本地化生产。<br />
对肺结核病治疗过程中实施抗逆转录病毒治疗进行了研究，其结果对重新评估艾滋病毒和肺结核病双重感染者的治疗机制具有重要参考意义。<br />
在纳米药物输送技术研究方面取得新进展，利用二次乳化溶剂挥发技术，将目前治疗肺结核的药物进行纳米包封，获得适合肺部吸收的纳米药物微粒，使药物可以在较长时间内缓慢释放并持续有效。</div>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>小技巧抗体相关实验如何在冬季调整实验条件</title>
		<link>http://www.91bio.com/tips-antibody-out-how-to-adjust-the-experimental-conditions-in-the-winter/</link>
		<comments>http://www.91bio.com/tips-antibody-out-how-to-adjust-the-experimental-conditions-in-the-winter/#comments</comments>
		<pubDate>Fri, 03 Feb 2012 12:14:16 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[抗体]]></category>
		<category><![CDATA[抗体相关]]></category>
		<category><![CDATA[生物技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645804</guid>
		<description><![CDATA[找生物-分享有趣、实用生物技巧！本文来自博士德公司的介绍，看看如何在冬季调整抗体相关实验条件。 ·首先保证试剂孵育温度，最好在37℃的恒温箱进行。 ·适当延长试剂孵育时间，一抗可先在37℃中孵育30min，然后在转入冰箱4℃过夜；封闭和二抗等孵育可以由20-30分钟延长至30-40分钟。 ·在洗涤过程中，最好用温热的洗涤缓冲液（用微波炉加热），并可适当增加洗涤次数，以去除非特异性结合。 ·最后在低温环境的显色过程中，可提前配制DAB显色液或提高显色液浓度，来增强显色效果。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用生物技巧！本文来自博士德公司的介绍，看看如何在冬季调整抗体相关实验条件。</p>
<div class='et-box et-shadow'>
					<div class='et-box-content'>温度是生化实验中的一项重要因素。在冬季，由于气温大幅下降，而较低的温度则会对生化反应（免疫组织化学、原为杂交等）产生较大影响。此时，就需要对常规的实验条件进行微调，以得到更好地实验结果。</div></div>
<ol>
<li>·首先保证试剂孵育温度，最好在37℃的恒温箱进行。</li>
<li>·适当延长试剂孵育时间，一抗可先在37℃中孵育30min，然后在转入冰箱4℃过夜；封闭和二抗等孵育可以由20-30分钟延长至30-40分钟。</li>
<li>·在洗涤过程中，最好用温热的洗涤缓冲液（用微波炉加热），并可适当增加洗涤次数，以去除非特异性结合。</li>
<li>·最后在低温环境的显色过程中，可提前配制DAB显色液或提高显色液浓度，来增强显色效果。</li>
</ol>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>生物女性新标准</title>
		<link>http://www.91bio.com/biological-female-new-standard/</link>
		<comments>http://www.91bio.com/biological-female-new-standard/#comments</comments>
		<pubDate>Wed, 01 Feb 2012 04:32:31 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[找生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645782</guid>
		<description><![CDATA[杀得了兔子，抗得动鼠粮 用得会流式，走的了液相 找得着工作，发得了文章 写得了基金，镇得住会场 带得了后辈，养得起爹娘 另附： &#160; 新世纪女性标准： 上得了厅堂，下得了厨房，弹得了钢琴，作得了文章， 开得起好车，买得起新房，斗得过二奶，打得过流氓， 经得住诱惑，红杏不出墙&#8230;&#8230; 新世纪男性标准： 睡得了地板，住得了走廊，跪得了搓板，洗得了衣裳， 吃得下剩饭，付得起药方，带得了儿子，养得起姑娘， 耐得住寂寞，争做灰太狼&#8230;&#8230; 【2011年女性新标准】摇得到车号，拿得出税单，搞得到户口，买得了京房；唱得了忐忑，玩得转围脖，骂得了鬼子，耍得了流氓；自己人工生孩子，不用男人来帮忙。]]></description>
			<content:encoded><![CDATA[<p>杀得了兔子，抗得动鼠粮</p>
<p>用得会流式，走的了液相</p>
<p>找得着工作，发得了文章</p>
<p>写得了基金，镇得住会场</p>
<p>带得了后辈，养得起爹娘</p>
<p>另附：</p>
<p>&nbsp;</p>
<p><span><span><strong>新世纪女性标准：</strong></span></span></p>
<p><span>上得了厅堂，下得了厨房，</span><span>弹得了钢琴，作得了文章，</span></p>
<p><span>开得起</span><span>好车，买得起新房，斗得过二奶，打得过流氓，</span></p>
<p><span>经得住诱惑，红杏不出墙&#8230;&#8230;</span></p>
<p><span style="font-size: medium;"><br />
</span><span><strong><span>新世纪男性标准：</span></strong></span></p>
<p><span><span>睡得了地板，住得了走廊，跪得了搓板，</span><span>洗得了衣裳，</span></span></p>
<p><span><span>吃得下</span><span>剩饭，付得起药方，带得了儿子，</span><span>养得起姑娘，</span></span></p>
<p><span><span>耐得住寂寞，争做灰太狼&#8230;&#8230;</span></span></p>
<p>【2011年女性新标准】摇得到车号，拿得出税单，搞得到户口，买得了京房；唱得了忐忑，玩得转围脖，骂得了鬼子，耍得了流氓；自己人工生孩子，不用男人来帮忙。</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>生物版少时不努力</title>
		<link>http://www.91bio.com/biological-version-came-not-work-hard/</link>
		<comments>http://www.91bio.com/biological-version-came-not-work-hard/#comments</comments>
		<pubDate>Mon, 30 Jan 2012 10:08:13 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645779</guid>
		<description><![CDATA[找生物转载自网络（豆瓣）的一篇生物版打油诗：]]></description>
			<content:encoded><![CDATA[<p>找生物转载自网络（豆瓣）的一篇生物版打油诗：</p>
<p><img class="aligncenter" title="少时" src="http://edu.cnxianzai.com/uploads/100827/349_115945229.jpg" alt="" width="341" height="390" /></p>
<div class='et-box et-info'>
					<div class='et-box-content'>小时不努力，长大读生技! 小时不听课，长大读生科! 小时不用功，长大学生工! 小时不听劝，长大做实验! 小时不听话，长大做转化! 小时爱打架，长大PCR! 小时爱耍酷，长大建文库! 小时不辛苦，长大杀老鼠! 小时不努力，长大提质粒! 小时爱偷懒，长大涂平板! 小时不学好，长大养细胞! 小时不像样，长大作液相!</div></div>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>找生物推出手机客户端</title>
		<link>http://www.91bio.com/looking-for-a-mobile-phone-client-the-bio/</link>
		<comments>http://www.91bio.com/looking-for-a-mobile-phone-client-the-bio/#comments</comments>
		<pubDate>Sat, 28 Jan 2012 08:51:42 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[找生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645769</guid>
		<description><![CDATA[且看详细介绍： 1 主界面：文章以列表的方式展示（图1），并可以切换文章的显示方式（图2）；下方工具条选项选择阅读全部文章，最新文章，未读文章以及加星文章，那个播客暂时就可以忽略掉了。点击手机菜单键，出现文章相关选项（图3）。 图1 图2 图3 2 文章页：点击标题进入文章页查看文章（图4），怎么样排版布局还算不错吧。此时点击手机下方会出现阅读工具条（图5），可以导航或者删除、加星、在手机浏览器查看文章或反馈信息。 图4 图5 3 软件设置：在主界面选择更多内设置选项，可以进行软件的相关设置，功能比较丰富，可以对显示方式、文章更新、存储、通知等进行设置，找生物就不一一介绍了（图6）。 图6 4 下载地址： 5 反馈：本软件为找生物在线制作，并没有很高技术含量，也有很多不完善的地方，希望能够给予反馈信息，可以直接给找生物留言。]]></description>
			<content:encoded><![CDATA[<div class='et-box et-bio'>
					<div class='et-box-content'>找生物作为一个分享有趣、实用生物资源的网站，现在伴着龙年的到来也推出了手机客户端（android版），暂时定为0.1版本吧，呵呵。</div></div>
<p>且看详细介绍：</p>
<p>1 主界面：文章以列表的方式展示（图1），并可以切换文章的显示方式（图2）；下方工具条选项选择阅读全部文章，最新文章，未读文章以及加星文章，那个播客暂时就可以忽略掉了。点击手机菜单键，出现文章相关选项（图3）。</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/1.png"><img class="size-medium wp-image-645770" title="1" src="http://www.91bio.com/wp-content/uploads/2012/01/1-200x300.png" alt="" width="200" height="300" /><br />
</a>图1</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/9.png"><img class="size-medium wp-image-645771" title="9" src="http://www.91bio.com/wp-content/uploads/2012/01/9-200x300.png" alt="" width="200" height="300" /></a></p>
<p style="text-align: left;">图2</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/4.png"><img class="alignnone size-medium wp-image-645774" title="4" src="http://www.91bio.com/wp-content/uploads/2012/01/4-200x300.png" alt="" width="200" height="300" /><br />
</a>图3</p>
<p style="text-align: left;">2 文章页：点击标题进入文章页查看文章（图4），怎么样排版布局还算不错吧。此时点击手机下方会出现阅读工具条（图5），可以导航或者删除、加星、在手机浏览器查看文章或反馈信息。</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/3.png"><img class="alignnone size-medium wp-image-645772" title="3" src="http://www.91bio.com/wp-content/uploads/2012/01/3-200x300.png" alt="" width="200" height="300" /><br />
</a>图4</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/7.png"><img class="alignnone size-medium wp-image-645773" title="7" src="http://www.91bio.com/wp-content/uploads/2012/01/7-200x300.png" alt="" width="200" height="300" /><br />
</a>图5</p>
<p style="text-align: left;">3 软件设置：在主界面选择更多内设置选项，可以进行软件的相关设置，功能比较丰富，可以对显示方式、文章更新、存储、通知等进行设置，找生物就不一一介绍了（图6）。</p>
<p style="text-align: left;"><a href="http://www.91bio.com/wp-content/uploads/2012/01/8.png"><img class="alignnone size-medium wp-image-645775" title="8" src="http://www.91bio.com/wp-content/uploads/2012/01/8-200x300.png" alt="" width="200" height="300" /><br />
</a>图6</p>
<p style="text-align: left;">4 下载地址：</p>
<p style="text-align: left;"><a href='http://1000eb.com/6i6u' target='_blank' class='small-button smallgreen'><span>下载找生物手机客户端</span></a><div class="clear"></div></p>
<p style="text-align: left;">5 反馈：本软件为找生物在线制作，并没有很高技术含量，也有很多不完善的地方，希望能够给予反馈信息，可以直接给找生物留言。</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>找生物网摘：20011年生物医疗领域48大新闻</title>
		<link>http://www.91bio.com/looking-for-biological-networks-abstract-20-011-48-year-bio-medical-field-big-news/</link>
		<comments>http://www.91bio.com/looking-for-biological-networks-abstract-20-011-48-year-bio-medical-field-big-news/#comments</comments>
		<pubDate>Sat, 21 Jan 2012 05:07:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[资讯]]></category>
		<category><![CDATA[医药]]></category>
		<category><![CDATA[生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645767</guid>
		<description><![CDATA[每年《探索》杂志都会对过去12个月科学和技术成就进行分类，把最酷的实验、最杰出的发现和最为改变世界的事件汇总为列表。这里是2011年100件最大科学和技术新闻的全部列表，分为7个主题部分，即健康与医药，科学技术政策，新兴技术，宇宙太空，生命世界，环境，物理和数学。在此，特地选择生物、医学、进化学等生物医疗健康方面相关的48条科技新闻。为了尽可能忠实地遵从《探索》杂志文章“2011年100大新闻”原文，所选择的每条新闻都用原文中的编号，因而编号也不会沿着正常的升序或倒序排布。 2. 改变的免疫系统阻断HIV病毒 美国加利福尼亚州Sangamo BioSciences公司在实验室设计的锌指核酸酶(ZFN)能够进入细胞并剪断任何所需的基因。利用这种方法，科学家能够切断编码称作CCR5的这一非常重要细胞受体的基因。CCR5蛋白位于CD4免疫细胞的细胞表面上，这也是HIV主要入侵的对象。没有CCR5蛋白，HIV不能进入细胞内部从而造成伤害。人类临床试验已经正在进行当中。 10. 免疫超级细胞清除白血病 2011年8月肿瘤学家David Porter和他的同事Carl June在《The New England Journal of Medicine》发表论文，声称他们不是利用化疗而是通过基因修饰白血病病人自己的免疫细胞在一个月内让3名白血病病人当中两名病人的癌症病情得到缓解。这次临床试验为成千白血病病人和可能患其他癌症的百万人开发新的治疗方法提供新的启示。 13. 肠道细菌能够阻止疟疾的传播 对抗疟疾的最新武器来自最不可能的地方——蚊子肠道。美国约翰霍普金斯大学微生物学家George Dimopoulos发现一种位于赞比亚蚊子体内的肠杆菌属细菌(Enterobacter bacteria)使得这种昆虫抵抗恶性疟原虫(Plasmodium falciparum)——一种导致疟疾的寄生虫。 22. 证实鼠疫耶尔森菌导致黑死病产生 黑死病是一种在欧洲中世纪杀死多达5千万人的瘟疫。2011年8月，造成该瘟疫的细菌身份最终被证实。它就是鼠疫耶尔森菌(Yersinia pestis)菌株，人们长期相信它就是罪魁祸首，但是研究人员如今证实这种在近几个世纪前灭绝的细菌就是杀人凶手。 27. 巴贝西寄生虫污染血液供给 2011年早期，一份报告证实在过去30年，因为巴贝西寄生虫(Babesia parasite)感染红血细胞，血液灌输导致至少159个人患上巴贝西虫病。该疾病通常是由虱子传播的。 28. 乙肝病毒蛋白片段加强疟疾疫苗 多年来，因为疟原虫能够改变它的结构诱骗宿主免疫系统，科学家不能开发出疟疾疫苗。疟原虫导致的蚊媒病(mosquito-borne disease)即疟疾，每年杀死70多万人，迄今为止在临床试验中没有疫苗显示出疗效性。2011年10月，制药公司GlaxoSmithKlin宣布在大规模的临床试验中新的疟疾疫苗将非洲年轻人的感染率大约降低一半。这种新疫苗改善天然免疫，在疟原虫侵入之前，身体将这种寄生虫排放出去。该疫苗含有乙肝病毒抗原和恶性疟原虫(Plasmodium falciparum)蛋白片段。乙肝病毒蛋白片段让免疫系统保持高度警戒，使得该新疫苗成为最为成功的疫苗。 38. 从内部杀死癌症 2011年，三项研究可能为单独挑选出癌细胞将之杀死呈现一副美好的蓝图。在第一项研究中，新加坡分子和细胞生物学研究所研究人员对小鼠开展研究，使用抗体靶向癌细胞内部的蛋白，大获成功，因为人们一直认为抗体太大而不能跨过癌细胞外膜。用这些抗体处理过的小鼠肿瘤变小。在第二项研究中，美国麻省理工学院研究人员利用计算机工程(computer engineering)原理设计一种分子逻辑电路(molecular logic circuit)，能够检测6种不同的生物标记物，找出一种癌症类型特异性的化学模式(chemical pattern)。当分子逻辑电路找到这种模式时，它能激发一种杀手蛋白(killer protein)的产生从而摧毁癌细胞，但不能破坏其他细胞。在第三项研究中，美国约翰霍普金斯大学研究人员创建一种分子开关(molecular switch)，它只在癌细胞内激活化疗药物。为了构建这种开关，生物分子工程师Marc Ostermeier和同事们调动一种在癌细胞中高水平存在的蛋白激活他在实验室构建的第二种蛋白。而第二种蛋白接着切换化疗药物到活性状态。 47. 阻止登革热传播 澳大利亚科学家开发出一种新方法对抗登革热。他们使用超薄针将在70%的昆虫物种中都存在的无害细菌——沃巴赫菌(Wolbachia)注射进登革热病毒的主要载体即埃及伊蚊(Aedes aegypti)胚胎里，阻止该病毒传播。 54. 感大肠杆菌染0104:H4菌株的凉拌豆芽在欧洲爆发传染病 根据世界卫生组织的统计数据，2011年夏天，极其毒性的大肠杆菌0104:H4菌株导致至少4075个人——主要在欧洲——生病。在他们当中，908个人患上溶血性尿毒综合症(hemolytic uremic syndrome)，50个人死亡。 55. 喝咖啡与癌症的关系 [...]]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://pic.biodiscover.com/uploads/6e01383fd96a17ae51cc3e15447e7533/article/biodiscover_1bb2c4820ddec1b7157.jpg" alt="美《探索》杂志评出20011年生物医疗领域48大新闻" /></p>
<p>每年《探索》杂志都会对过去12个月科学和技术成就进行分类，把最酷的实验、最杰出的发现和最为改变世界的事件汇总为列表。这里是2011年100件最大科学和技术新闻的全部列表，分为7个主题部分，即健康与医药，科学技术政策，新兴技术，宇宙太空，生命世界，环境，物理和数学。在此，特地选择生物、医学、进化学等生物医疗健康方面相关的48条科技新闻。为了尽可能忠实地遵从《探索》杂志文章“2011年100大新闻”原文，所选择的每条新闻都用原文中的编号，因而编号也不会沿着正常的升序或倒序排布。</p>
<p>2. 改变的免疫系统阻断HIV病毒</p>
<p>美国加利福尼亚州Sangamo BioSciences公司在实验室设计的锌指核酸酶(ZFN)能够进入细胞并剪断任何所需的基因。利用这种方法，科学家能够切断编码称作CCR5的这一非常重要细胞受体的基因。CCR5蛋白位于CD4免疫细胞的细胞表面上，这也是HIV主要入侵的对象。没有CCR5蛋白，HIV不能进入细胞内部从而造成伤害。人类临床试验已经正在进行当中。</p>
<p>10. 免疫超级细胞清除白血病</p>
<p>2011年8月肿瘤学家David Porter和他的同事Carl June在《The New England Journal of Medicine》发表论文，声称他们不是利用化疗而是通过基因修饰白血病病人自己的免疫细胞在一个月内让3名白血病病人当中两名病人的癌症病情得到缓解。这次临床试验为成千白血病病人和可能患其他癌症的百万人开发新的治疗方法提供新的启示。</p>
<p>13. 肠道细菌能够阻止疟疾的传播</p>
<p>对抗疟疾的最新武器来自最不可能的地方——蚊子肠道。美国约翰霍普金斯大学微生物学家George Dimopoulos发现一种位于赞比亚蚊子体内的肠杆菌属细菌(Enterobacter bacteria)使得这种昆虫抵抗恶性疟原虫(Plasmodium falciparum)——一种导致疟疾的寄生虫。</p>
<p>22. 证实鼠疫耶尔森菌导致黑死病产生</p>
<p>黑死病是一种在欧洲中世纪杀死多达5千万人的瘟疫。2011年8月，造成该瘟疫的细菌身份最终被证实。它就是鼠疫耶尔森菌(Yersinia pestis)菌株，人们长期相信它就是罪魁祸首，但是研究人员如今证实这种在近几个世纪前灭绝的细菌就是杀人凶手。</p>
<p>27. 巴贝西寄生虫污染血液供给</p>
<p>2011年早期，一份报告证实在过去30年，因为巴贝西寄生虫(Babesia parasite)感染红血细胞，血液灌输导致至少159个人患上巴贝西虫病。该疾病通常是由虱子传播的。</p>
<p>28. 乙肝病毒蛋白片段加强疟疾疫苗</p>
<p>多年来，因为疟原虫能够改变它的结构诱骗宿主免疫系统，科学家不能开发出疟疾疫苗。疟原虫导致的蚊媒病(mosquito-borne disease)即疟疾，每年杀死70多万人，迄今为止在临床试验中没有疫苗显示出疗效性。2011年10月，制药公司GlaxoSmithKlin宣布在大规模的临床试验中新的疟疾疫苗将非洲年轻人的感染率大约降低一半。这种新疫苗改善天然免疫，在疟原虫侵入之前，身体将这种寄生虫排放出去。该疫苗含有乙肝病毒抗原和恶性疟原虫(Plasmodium falciparum)蛋白片段。乙肝病毒蛋白片段让免疫系统保持高度警戒，使得该新疫苗成为最为成功的疫苗。</p>
<p>38. 从内部杀死癌症</p>
<p>2011年，三项研究可能为单独挑选出癌细胞将之杀死呈现一副美好的蓝图。在第一项研究中，新加坡分子和细胞生物学研究所研究人员对小鼠开展研究，使用抗体靶向癌细胞内部的蛋白，大获成功，因为人们一直认为抗体太大而不能跨过癌细胞外膜。用这些抗体处理过的小鼠肿瘤变小。在第二项研究中，美国麻省理工学院研究人员利用计算机工程(computer engineering)原理设计一种分子逻辑电路(molecular logic circuit)，能够检测6种不同的生物标记物，找出一种癌症类型特异性的化学模式(chemical pattern)。当分子逻辑电路找到这种模式时，它能激发一种杀手蛋白(killer protein)的产生从而摧毁癌细胞，但不能破坏其他细胞。在第三项研究中，美国约翰霍普金斯大学研究人员创建一种分子开关(molecular switch)，它只在癌细胞内激活化疗药物。为了构建这种开关，生物分子工程师Marc Ostermeier和同事们调动一种在癌细胞中高水平存在的蛋白激活他在实验室构建的第二种蛋白。而第二种蛋白接着切换化疗药物到活性状态。</p>
<p>47. 阻止登革热传播</p>
<p>澳大利亚科学家开发出一种新方法对抗登革热。他们使用超薄针将在70%的昆虫物种中都存在的无害细菌——沃巴赫菌(Wolbachia)注射进登革热病毒的主要载体即埃及伊蚊(Aedes aegypti)胚胎里，阻止该病毒传播。</p>
<p>54. 感大肠杆菌染0104:H4菌株的凉拌豆芽在欧洲爆发传染病</p>
<p>根据世界卫生组织的统计数据，2011年夏天，极其毒性的大肠杆菌0104:H4菌株导致至少4075个人——主要在欧洲——生病。在他们当中，908个人患上溶血性尿毒综合症(hemolytic uremic syndrome)，50个人死亡。</p>
<p>55. 喝咖啡与癌症的关系</p>
<p>2011年3月，来自中国上海复旦大学的研究人员发现每天多喝一杯咖啡与患上很多种癌症的风险降低3%相关联。5月，哈佛公共卫生学院对47911名男人的习惯进行20年研究表明每天喝六杯或更多的咖啡与那些不喝咖啡的人相比，患前列腺癌的可能性下降了18%，因为患上该癌症而死亡的可能性下降了60%。即便每天喝一到三杯咖啡也能将死亡的风险降低29%。</p>
<p>56. 私人DNA公司23andMe加速帕金森疾病研究</p>
<p>2011年6月，私人基因组学公司23andMe宣布它的研究人员仅在一年半的时间对3万多人的DNA进行分析，发现与帕金森疾病相关联的2种新的基因变异体。</p>
<p>58. 精子基因指明男性不育性治疗方法</p>
<p>2011年7月，美国加州大学戴维斯分校生殖生物学家Gary Cherr和同事们鉴定出一种令人吃惊的常见基因突变，可能解释很多男性不育性事件中不能解释的原因，从而为相应的治疗提供新的方法。这种突变的称作DEFB126的基因正常条件下编码一种包被精子的蛋白，帮助精子穿越子宫颈粘液到达子宫和子宫内的卵细胞。没有这种蛋白，精子经常受困不能达到最终的目的地。</p>
<p>60. 两种新治疗方法均能延缓致命性皮肤癌症——黑色素瘤</p>
<p>两种提高免疫系统功能的治疗方法改善晚期黑色素瘤病人的存活率和延缓癌症生长。一种方法利用一种称作易普利姆玛(Ipilimumab)的抗体，该抗体可能阻断一种抑制免疫系统的分子。该分子称作CTLA-4，一旦失活，身体的天然防御系统似乎能够更好地识别并攻击肿瘤。2011年6月发布的一次临床试验中，黑色素瘤病人接受Ipilimumab治疗并结合化疗治疗，相比于只接受化疗治疗的病人而言，获得额外珍贵的几个月的存活时间。</p>
<p>另一种独立的临床试验利用一种新的黑色素瘤疫苗并结合免疫刺激试剂IL-2。IL-2被认为能够增加识别和杀死入侵细胞的T细胞的产生。2011年6月，该临床试验最终结果发布出来，表明组合治疗要比只用IL-2治疗增加大约6个月的存活时间。</p>
<p>64. 重编程干细胞遭受更多令人痛苦的挫折<br />
科学家们对重编程干细胞(reprogrammed stem cell)——它们可以从病人自己的组织获得，并分化为身体上任何类型的细胞——抱有较高的希望。但是2011年两项研究突出了重编程干细胞的主要问题，这就使得它们用于临床治疗的道路更加漫长。</p>
<p>在一项研究中，美国加州沙克遗传学家Joseph Ecker对皮肤、脂肪组织和其他组织的细胞进行重编程产生各种各样的诱导性多功能干细胞(iPSCs，即重编程干细胞)系，并且研究了每种干细胞系基因组的DNA甲基化。iPSC中DNA甲基化的全局水平看起来非常类似于胚胎干细胞，但是也存在独特的没有正确发生重编程的区域。在这些区域中，重编程的iPSC的DNA甲基化仍然类似于它们来自的组织，意味着它们不能完全回到胚胎期。</p>
<p>在另一项独立的研究中，美国加州大学圣地亚哥分校免疫学家Yang Xu将遗传学上与小鼠组织一样的胚胎干细胞注射进小鼠中，新细胞大量生长，形成大块的成体组织。但是当他把遗传学上相同的重编程干细胞注射进小鼠中，免疫系统攻击和破坏这些细胞。</p>
<p>正在进行的挑战在于构建出功能上尽可能类似于胚胎干细胞的iPSC。除非能够矫正iPSC存在的问题，iPSC远不能应用于临床治疗。</p>
<p>69. 手机改变大脑葡萄糖代谢</p>
<p>当研究人员争论手机发射出的微波是否可能导致脑癌时，2011年2月发表在《Journal of the American Medical Association》期刊上的一篇研究论文引起另一个完全不同的担忧。精神病学家Nora Volkow是该研究论文的通讯作者，他招募了47名健康自愿者，利用正电子发射断层显像(positron emission tomography)测量当手机放置在左耳或右耳上时大脑葡萄糖代谢情况。她发现50分钟手机通话增加离手机天线最接近的大脑区域的代谢，特别是涉及语言、决策和情感处理的额叶眼眶面皮皮层(orbitofrontal cortex)和颞极(temporal pole)。下一个大问题就是打一段时间的手机电话时大脑代谢的增加是否可能导致神经认知损伤。</p>
<p>70. 更安全的产前遗传疾病唐氏综合症的测试</p>
<p>2011年1月中国香港中文大学化学病理学家Dennis Lo宣布利用对母亲血液进行染色体测试可以准确预感地测定发育中胎儿性别的技术在最早怀孕11周的母亲血液中发现额外胎儿第21条染色体存在就可以将近100%的准确度预测遗传疾病唐氏综合症(Down syndrome)，且该测试对胎儿没有风险。2011年10月，位于美国圣地亚哥的遗传诊断公司Sequenom首次发布了非侵入式产前唐氏综合症筛查方法。</p>
<p>76. 环境在导致自闭症上发挥更大作用</p>
<p>2011年7月发表的一篇对同卵双胞胎(identical twins)和异卵双胞胎(fraternal twins)大规模调查的论文提供令人信服的证据表明在决定小孩是否能够患上自闭症上，环境因素至少跟遗传一样至关重要，美国斯坦德大学医学院精神病遗传学家Joachim Hallmayer是该研究的通讯作者，他说，“除了遗传外还有其他我们不能理解的因素也发挥着巨大作用”。该新研究表明，环境因素对患上自自闭症风险占50%以上，而基因占大约40%。</p>
<p>78. 神经元打盹解释睡眠剥夺后产生的错误</p>
<p>根据2011年4月发表在《Progress in Brain Research》上的一篇研究论文，科学家可能指出做出错误决定的生物学基础：小部分神经元开始打盹，甚至是大脑保持清醒的时候。</p>
<p>81. 炎症有可能有助于战胜糖尿病</p>
<p>科学家长期以来将II型糖尿病和慢性发炎(chronic inflammation)绑定在一起，但是2011年9月美国波士顿儿童医院肥胖研究人员Umut Ozcan报道，在肥胖糖尿病小鼠中，一种关键性发炎蛋白实际上降低胰岛素抗性。该蛋白称作XBP-1s，打开一些基因，这些基因指导其他蛋白组装从而使得胰岛素在细胞中正确发挥作用。但在肥胖糖尿病小鼠中，XBP-1s不能进入细胞核调节胰岛素的功能。通过与苗条健康小鼠做对比研究后，Ozcan发现一种发炎蛋白修饰XBP-1s，这样XBP-1s能够转运进细胞核。当Ozcan将一种发炎诱导化学物加入到肥胖糖尿病小鼠细胞后激活XBP-1s，胰岛素敏感性得到改善，这就反驳了发炎造成糖尿病的观点。</p>
<p>87. 首次颁发诺贝尔生理或医学奖给死后的科学家</p>
<p>免疫学家Ralph Steinman在他死后获得2011年诺贝尔生理或医学奖。</p>
<p>90. 证实慢性莱姆病综合症病人症状</p>
<p>患上慢性疲劳综合症和疗后莱姆病综合症(Lyme disease syndrome, 这些症状在用抗生素治疗后仍然持续存在)——的病人花了几十年才摆脱人们的指责：他们的疲惫衰弱(debilitating exhaustion)和认知问题只是想象出来的。2011年2月发表的一篇研究论文则提供证据表明他们的症状是真实的而且具有独特性。</p>
<p>美国新泽西医学和牙科大学免疫学家Steven Schutzer研究了每种综合症病人的脑脊髓液，为每组病人记录了不同的一组蛋白质，而它们可被作为潜在性的生物标记物来区分这两种综合症病人和健康对照人。Schutzer通过去掉常见的不相关的蛋白如白蛋白和免疫球蛋白后，揭示出莱姆病综合症的蛋白标记物。</p>
<p>94. 如今建议男孩也要接种HPV疫苗</p>
<p>2006年，美国疾病控制与预防中心争议性地建议女孩应当接种人乳头状瘤病毒(human papilloma virus)疫苗以便阻止感染。2011年，该机构将这一建议延伸至11到13岁的男孩身上。</p>
<p>98. 轻微意识状态的植物病人大脑存在意识性信号</p>
<p>2011年5月13日，比利时回旋加速器研究中心神经科学家Melanie Boly和她的同事们在《科学》期刊上发表论文，表明轻微意识状态(minimally conscious)的植物病人显示出不同模式的神经活性。</p>
<p>99. 新研究加深了慢性疲劳综合症的神秘性</p>
<p>2009年，发表在《科学》期刊上的一篇争议性研究声称慢性疲劳综合症跟一种逆转录病毒即异嗜性小鼠白血病病毒相关病毒(xenotropic murine leukemia virus–related virus, XMRV)相关联。但是这些研究发现在其他实验室中不能重复。2011年9月，《科学》期刊发表了一篇由9个独立实验室开展研究的论文不能证实慢性疲劳综合症病人存在XMRV病毒。这些研究表明XMRV病毒可能不是造成慢性疲劳综合症的原因。</p>
<p>97. 据传美国中央情报局利用巴基斯坦乙肝疫苗接种计划收集本-拉登家人DNA</p>
<p>2011年5月，美国杀死了基地组织前首领奥萨马-本-拉登(Osama bin Laden)。不过根据美国《纽约时报》2011年7月12日和《华盛顿邮报》2011年7月13的两篇报道，一名匿名的美国官员声称美国中央情报局招募一名巴基斯坦医生提供免疫的乙肝疫苗接种。美国情报人员希望通过比较收集的DNA样品和本-拉登去世的妹妹的DNA从而确定本-拉登家庭是否就在附近。《纽约时报》报道这种策略没有收集到他家人的DNA。虽然美国中央情报局没有证实或拒绝这些，但是世界卫生组织和联合国儿童基金会的官员也牵涉到这一疫苗接种计划中。</p>
<p>34. 世界上最小的单分子电子马达</p>
<p>2011年，美国塔夫斯大学化学家Charles Sykes设计出一种世界上最小的单分子发电子马达(electric motor)：它由单个分子组成的，只长1纳米，是人类头发宽度的1/60000。它运行的能量来自扫描式隧道显微镜(scanning tunneling microscope)。该显微镜能够通过移动薄金属针(metal stylus)读取表面的形状。就该单分子电子马达而言，该显微镜金属针给该分子中向外延伸的碳原子和氢原子供应电荷，并发挥着类似推进器的作用。当加入电流时，这种分子发生旋转。发生旋转的分子能够让附着到它上的其他分子旋转，从而将电力转换为机械能。</p>
<p>40. 计算机模型模拟婴儿认知</p>
<p>2011年5月27日，美国麻省理工学院的一个认知科学家小组在《科学》期刊上描述了一种模拟1岁婴儿推理能力的计算机模型。为了测试这种基于描述婴儿可能对新环境作出反应的方式的数学规则的模型，该研究小观察了匈牙利中欧大学同事们开展的真实婴儿研究。他们希望对婴儿的研究有助于教会计算机一些常识。</p>
<p>42. 设计模型解释过分自信</p>
<p>过分自信能够有助解释战争、金融灾难和文明毁灭。2011年，美国加州大学圣地亚哥分校社会科学家James Fowler和英国爱丁堡大学社会科学家Dominic Johnson在《自然》期刊上发表一种进化数学模型就这种破坏性的社会行为提供解释。他们构建出一种理论上的人群，表明不管人们喜欢与否，过分自信的个人在很多情形下要比现实中的个人更有竞争优势。</p>
<p>18. 植物microRNA进入人血液后仍然保持活性</p>
<p>称它为古谚的“人如其食(you are what you eat)”一个新视角吧。2011年9月，中国南京大学生化学家Chen-Yu Zhang领导的一个研究小组在《Cell Research》上发表论文，表明植物中称作microRNA的遗传物质片段能进入人类血液流动，他们在上百名实验对象血液样品中发现大约50种不同的植物microRNA，其中一种在大米中大量存在和在植物发育中发挥着作用的分子MIR168a与有助于移除血液中“坏”LDL胆固醇的人RNA片段发生结合。在人细胞培养物的进一步实验证实MIR168a干扰一种胆固醇清除蛋白的产生，而小鼠实验表明吃大米的小鼠中LDL胆固醇在血液中存活更长时间。这些令人吃惊的发现表明这些植物基因组小片段可能对人健康也有影响，从而提示着一些生物分子即便在消化后仍然保持活性。</p>
<p>19. 杀手黑猩猩过量捕猎猴子</p>
<p>2011年5月，美国杜克大学动物学家Thomas Struhsaker和他的同事们在《American Journal of Primatology》期刊上在线发表了一篇研究论文表明人类不是唯一的追捕其他灵长类物种到灭亡边缘的灵长类动物。他们做出结论，自1975年来，在乌干达基巴莱国家公园(Kibale National Park)努迦(Ngogo)一部分地区大量饥饿的黑猩猩已杀死了将近90%的红疣猴(red colobus monkey)。</p>
<p>24. 肠道细菌也可鉴定人的身份</p>
<p>几万亿个细菌生活在人肠道中。这些微生物菌群含有上百种物种，在不同人中有着不同的变化。2011年5月，德国海德尔堡分子生物学实验室计算生物学家Peer Bork在《自然》期刊上发表论文，在对日本、欧洲和美国自愿者粪便中的细菌DNA测序后，发现这些细菌DNA序列可以分为三个他们称之为肠道细菌类型(enterotype)的类别，而且这些类别跟年龄、性别、体重或国籍没有关系。就像每个人有四种血型中的一种，很明显我们每个人也有这三种肠道细菌类型中的一种。</p>
<p>30. 新化石质疑最古老的鸟类——始祖鸟</p>
<p>2011年7月，中国北京中科院脊椎动物古生物古人类研究所古生物学家徐星领导的一个研究小组在《自然》杂志上发表论文。他们利用计算机软件，研究基于374个骨骼特征的早期鸟类和亲缘相近的恐龙之间的进化关系。当他们把郑氏晓廷龙(Xiaotingia zhengi)包括进来时，始祖鸟(Archaeopteryx)被从鸟家族树中移除出来，被重新分配到一种分开的恐龙世系中。而最近发现的耀龙(Epidexipteryx)等化石替代它的位置作为最早的鸟类。</p>
<p>35. 化石激起关于恐龙最后灭绝日子的争论</p>
<p>根据2011年7月发表在《Biology Letters》期刊上发表的一篇论文，美国耶鲁大学古生物学家Tyler Lyson和Stephen Chester在蒙大拿州南部发现的恐龙角化石只在K-T界限下5英尺。其中K-T界限是一薄层岩石，代表着6500年前一个大行星袭击地球的时刻。很多科学家Lyson、Chester和其他人认为恐龙灭绝是突然的和灾难性的。这项新研究支撑了他们的观点。</p>
<p>43. 皮肤细胞重编程产生的诱导性多功能干细胞可能有助于稀有物种复活</p>
<p>2011年9月，美国科学家在《自然-方法》期刊上发表论文，利用濒危动物北白犀和西非猴身上取得的皮肤细胞重新编程，首次成功获得了诱导性多功能干细胞(iPSC)，这为拯救濒危动物提出了一种新方法。</p>
<p>45. 人类在地质记录上留下一道永久性的伤疤？</p>
<p>越来越多的名声鹊起的科学家小组坚持人类世(Anthropocene)是人造的时代。</p>
<p>48. 发现最强效的驱虫剂VUAA1</p>
<p>DEET是一种最为广泛使用的商业驱虫剂(insect repellent)，能够强有力地保护人们不患上虫传感染疾病，如疟疾和登革热。但是它在高浓度时有毒，而且价格昂贵和寿命短。2011年，美国范德堡大学生物学家Laurence Zwiebel宣布一种称作VUAA1的化合物不仅效力是DEET的100000倍，而且潜在地更便宜和对人类有害性更少。</p>
<p>49. 基于砷的生命</p>
<p>2010年晚些时候，据报道美国国家航空航天局研究员Felisa Wolfe-Simon和他的同事们在美国加州莫诺湖发现一种细菌不仅能在含异常高水平的砷和低水平磷的环境中存活，而且似乎也把砷整合进该细菌DNA主干中。然而，批评者很快就质疑这些结果，并以较差的DNA提取技术和声称不含磷的培养基实际上含有磷酸盐作为质疑的理由。2011年5月，《科学》期刊针对这项研究发表8篇技术评论，然而至今尚未撤回这篇已被引用26次的论文。</p>
<p>51. 石器时代艺术工作室出土</p>
<p>2011年，古生物学家发现绘有印度洋的壮观美景的洞穴是世界上最为古老的美术工作室。当对南非布隆伯斯洞窟(Blombos Cave)薄砂层进行挖掘时，一个国际研究小组发现100000年前石器时代艺术家使用的两套工具。这些工具包括一对含有赭土绘制的图画的鲍鱼壳(abalone shell)。在这些史前调色板中，古生物学家发现石制工具，它们被剪裁来制备赭土复合物，另外他们还发现有形状的骨头碎片，它们可能被用来添加色素。这些表明早期人类能够设计和知晓比我们想象中还要多的化学知识。</p>
<p>61. 逆转小鼠衰老效应：消灭垂死的细胞让小鼠保持健康、富有和聪明</p>
<p>根据2011年11月发表在《自然》期刊上的一篇论文，美国明尼苏达州梅约医学中心(Mayo Clinic)Darren Baker和同事们开发出一种细胞源泉清理(cellular spring cleaning)方法延迟老年小鼠的健康问题。通过选择性地杀死衰老细胞——也就是不再生长或分裂的细胞，Baker阻碍小鼠白内障的发生，肌肉衰弱和身体脂肪丢失。他甚至逆转老年小鼠中的一些健康问题。虽然这些小鼠不能活得更长，但是它们可以存活更加健康的几个月。虽然以前人们已知衰老细胞与老化相关联，但是他们的实验表明这些细胞有着特异性的有害性质，而且这些细胞当中一小部分细胞就能够发挥着比较大的影响。如果同样原则能够应用到人的话，人们就可能通过靶向衰老细胞或者它们分泌的化学物增加一个人的“健康寿命(healthspan)”，同时这种方法还可能阻止细胞因为衰老时受到严重损伤而变成癌细胞。</p>
<p>63. 到底有多少物种栖息在地球上？</p>
<p>地球上到底有多少物种？这是一个非常难的问题，但是我们现在有最好的答案。2011年8月，位于加拿大新斯科舍省的达尔豪西大学的研究人员在《科学》期刊上发表论文，迄今为止对地球上有多少物种作了最为强有力的估计：不包括细菌在内，有870万种物种，其中将近650万生活在陆地上，220万生活在海洋中。</p>
<p>67. 电脑游戏玩家解决HIV难题</p>
<p>根据2011年11月发表在《PNAS》期刊上的一篇论文，美国华盛顿大学生物信息学家Firas Khatib让几千人在线玩电脑科学家Seth Cooper和Zoran Popovic开发的Foldit游戏，结果在在10天内他们就解决了一种蛋白的三维结构，其中这种蛋白能够让与AIDS病毒亲缘关系比较密切的病毒M-PMV感染细胞。</p>
<p>68. 在阿联酋发现的石制工具意味人们更早地离开非洲</p>
<p>根据2011年1月发表在《科学》期刊上的一篇研究论文，考古学家在位于现在的阿拉伯联合酋长国的岩石住房(rock shelter)中发现石制工具，表明大批人早在125000万年前到达阿拉伯半岛南部，而且是比人们想象中的还要更早地离开非洲。</p>
<p>74. 科学家发现世界上最大的智利巨型病毒</p>
<p>根据2011年10月发表在《PNAS》期刊上的一篇论文，法国结构和基因组信息实验室研究人员从智利近海岸分离出一种巨型病毒(Megavirus chilensis)，是所测序的病毒当中基因组最大的。它与2003年首次发现的巨型病毒Mimivirus(俗称“米米病毒”)亲缘关系较远，不过与Mimivirus和一些现存真核生物存在相当大的基因重叠，研究人员假设这两种巨型病毒可能来自同一个真核生物祖先。</p>
<p>77. 琥珀中薄丝揭示羽毛的来源</p>
<p>2011年，加拿大阿尔伯塔大学古生物学家Alex Wolfe在一块80000年前的琥珀里看到一根薄丝，经显微镜观察后发现它那光亮和环形的外观是只在真实羽毛中发现的。Wolfe和同事们然后在加拿大阿尔伯塔省富含化石的岩石中彻底搜查了150000块琥珀，他们最终发现11种来自晚白垩世(Late Cretaceous)时期迷人的羽毛样品，甚至捕捉它们的色素沉积和三维结构。这些羽毛样品的复杂结果适合飞行和跳水，他们相信这些羽毛样品来自于古代鸟类。</p>
<p>80. 尼安德特人DNA加强现代人类的免疫系统</p>
<p>根据2011年10月发表在《科学》期刊上的一篇研究论文，当我们的祖先与最近发现的古老人类群体但是早已灭绝的尼安德特人(Neanderthals)和丹尼索瓦人(Denisovans)婚配时，他们获得了后者的一些基因。</p>
<p>美国斯坦福大学研究人员集中研究人白细胞抗原1(human leukocyte antigen class 1, HLA)基因，这些基因在招募免疫系统对抗细菌和病毒方面发挥着关键性作用。这些基因存在着上千种版本，即等位基因。</p>
<p>为了分析这些等位基因的来源，科学家研究了骨髓库中来自全球所有部分的上百万人的HLA基因。通过比较现代人群的DNA与重构的尼安德特人和丹尼索瓦人的基因组，他们发现来自古老人群的HLA变异体在现代人群中仍然存在。比如，古老基因HLA-A有助于身体抵抗诸如爱泼斯坦-巴尔病毒(Epstein-Barr virus)之类的病毒，在50%的现代欧洲人中存在，70%多的亚洲人中存在，高达95%的巴布亚新几内亚人中存在。其他古老等位基因参与自然杀伤细胞的调控，这对于免疫防御是至关重要的。</p>
<p>85. 发现放牧的原始人类</p>
<p>1959年，古生物学家Mary Leakey在坦桑尼亚一条水沟中捡起一块骨头片段，他是来自鲍氏傍人(Paranthropus boisei)——进化上的人类表亲，在大约150万前灭绝——的一部分。他的坚硬下巴，平磨牙和头盖骨顶端的脊柱骨导致古生物学家相信他吃坚果和种子，让他获得“胡桃钳子人(Nutcracker man)”的称号。</p>
<p>但是2011年5月，美国犹他大学地球化学家Thure Cerling揭示鲍氏傍人有一种意料之外的饮食习惯。通过分析来自22名鲍氏傍人牙齿釉质的碳同位素，Cerling没有发现微量坚果，相反他主要发现微量草和草类似的植物。他们的食物大约80%来自田野，在那里他们放牧瞪羚(gazelle)、马和大象。</p>
<p>91. 揭露地球第一种生命</p>
<p>2011年8月，英国牛津大学古生物学家Martin Brasier宣布他发现地球上最早生命形式之一的遗迹：34亿年前的细菌化石。这一声称给Martin Brasier和美国加州大学洛杉矶分校Bill Schop之间一直进行的争论带来更多的复杂性。1993年，Bill Schopf说，他发现34.6亿年期的有机体。2002年，Martin Brasier质疑Schopf的发现。两者自此一直发生争论。</p>
<p>39. 海洋微生物清理墨西哥湾泄漏的甲烷</p>
<p>几种海洋细菌物种消耗从海底渗出的甲烷气体。2010年春季和夏季，英国BP公司发生石油泄露之后，1.72亿加仑富含甲烷的石油泄漏到墨西哥湾，科学家想知道自然的微生物可能消耗多少溶解的甲烷气体。为此，美国德克萨斯农工大学海洋学家John Kessler和美国加州大学圣芭芭拉分校海洋学家David Valentine在泄漏点附近收集了700多种水样品。他们发现细菌消灭了120000公吨甲烷，基本上将水域中的甲烷浓度回归到正常。</p>
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		<title>徒手心肺复苏CPR急救术公益广告</title>
		<link>http://www.91bio.com/cpr-first-aid-cpr-hand-surgery-psa/</link>
		<comments>http://www.91bio.com/cpr-first-aid-cpr-hand-surgery-psa/#comments</comments>
		<pubDate>Tue, 17 Jan 2012 04:20:59 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[医学]]></category>
		<category><![CDATA[生活知识]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645764</guid>
		<description><![CDATA[这个是来自国外的有关徒手心肺复苏CPR急救术公益广告，首先看看什么是CPR, 看看实施要领： 1.轻拍患者肩膀或按压人中，检查伤患有无意识， 须注意病患有无颈椎受伤，不可剧烈摇晃病患。 　　2.大声呼救 如确定患者意识不清，应立即求救；求救时指示必需明确， 例如：请帮我叫120（院外）、大声叫喊值班医师（院内）。 　　3.施救位置 跪于患者肩部，施救者与患者肩部垂直。 　　4.打开病患口腔，检查呼吸道中有无异物。 　　5.将患者头部偏向一侧，清除其口腔及呼吸道中的异物 如口香糖、假牙等 　　6.压额抬颚法，保持呼吸道畅通，防止舌头因重力下垂阻塞气道。 　　7.脸颊靠近病人口鼻，眼睛注视病人胸部，观察3-5秒。 　　8.如无呼吸，打开患者口腔，并将患者鼻子捏着， 以免从口部吹气时，由鼻腔漏气。 　　9.密罩患者口部， 深吹两口气，每次吹气约1.5-2秒，须注意患者胸部有无起伏，并等病人第一口气完全排出後再吹第二口。 　　10.食指及中指先摸到喉结处，在向外滑至同侧气管与颈部肌肉 所形成的沟中，按压观察颈动脉5-10秒 　　11.食指及中指先摸到喉结处，在向外滑至同侧气管与颈部肌肉 所形成的沟中，按压观察颈动脉5-10秒。如有脉搏，继续反复施行人工呼吸， 直到患者恢复自然呼吸为止，成人每分钟约12-16次，小孩约15-20次。 　　12.如无脉搏，准备实施胸外心脏按摩术。 　　13.沿肋骨下缘向上滑找到剑突头端起向上两指幅处， 以另一手之掌根放至按摩位置，注意不可按压剑突。 　　14.两手交插互扣，指尖翘起，避免接触肋骨。 　　15.施救者两臂伸直，与患者身体呈垂直， 肩膀在胸骨正上方，迅速下压4-5公分（1.5-2寸）。 　　16.心脏按摩施行速率，成人每分钟约80-100次，年幼患者速率应加快， 婴幼儿患者每分钟约100-120次，口诀：“一下、二下、……十一、十二、十叁、十四、十五”。 　　17.心脏按摩施行速率，成人每分钟约80-对於幼童应酌情施压，1-8岁左右患者， 可改用单掌施压，人工呼吸改用口对口鼻；人工呼吸：心脏按摩=1：5. 　　18.对于婴幼儿应酌情施压，一岁以下患者， 可改用两指施压，使用中指及无名指，按摩位置为乳头连线中点下一指幅，人工呼吸改用口对口鼻； 人工呼吸：心脏按摩=1：5. 　　19.单人施救人工呼吸：心脏按摩=2：15， 双人施救人工呼吸：心脏按摩=1：5. 　　20.在做完四个循环後吹完两口气，需检查脉搏3-5秒；若无脉搏则继续心脏按摩， 以後每四次循环或3-5分钟检查一次。 　　21.若有脉搏则检查呼吸3-5秒，若有呼吸及将病人置于复苏姿势，以避免呕吐物造成吸入性肺炎，若无呼吸则继续实施人工呼吸。 　　22.最后~ 各安天命。]]></description>
			<content:encoded><![CDATA[<p>这个是来自国外的有关徒手心肺复苏CPR急救术公益广告，首先看看什么是CPR,<br />
<div class='et-box et-shadow'>
					<div class='et-box-content'>心肺复苏术顾名思义，即在呼吸或心跳停止情况下所作之急救术。目的在于尽快挽救脑细胞在缺氧状态下坏死（四分钟以上开始造成脑损伤，十分钟以上即造成脑部不可逆之伤害），因此施救时机越快越好。心肺复苏术适用于心脏病突发，溺水，窒息或其他意外事件造成之意识昏迷并有呼吸及心跳停止之状态。</div></div><br />
<embed src="http://player.youku.com/player.php/sid/XMzQwNzQxNzYw/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed><br />
看看实施要领：<br />
    1.轻拍患者肩膀或按压人中，检查伤患有无意识， 须注意病患有无颈椎受伤，不可剧烈摇晃病患。<br />
　　2.大声呼救 如确定患者意识不清，应立即求救；求救时指示必需明确， 例如：请帮我叫120（院外）、大声叫喊值班医师（院内）。<br />
　　3.施救位置 跪于患者肩部，施救者与患者肩部垂直。<br />
　　4.打开病患口腔，检查呼吸道中有无异物。<br />
　　5.将患者头部偏向一侧，清除其口腔及呼吸道中的异物 如口香糖、假牙等<br />
　　6.压额抬颚法，保持呼吸道畅通，防止舌头因重力下垂阻塞气道。<br />
　　7.脸颊靠近病人口鼻，眼睛注视病人胸部，观察3-5秒。<br />
　　8.如无呼吸，打开患者口腔，并将患者鼻子捏着， 以免从口部吹气时，由鼻腔漏气。<br />
　　9.密罩患者口部， 深吹两口气，每次吹气约1.5-2秒，须注意患者胸部有无起伏，并等病人第一口气完全排出後再吹第二口。<br />
　　10.食指及中指先摸到喉结处，在向外滑至同侧气管与颈部肌肉 所形成的沟中，按压观察颈动脉5-10秒<br />
　　11.食指及中指先摸到喉结处，在向外滑至同侧气管与颈部肌肉 所形成的沟中，按压观察颈动脉5-10秒。如有脉搏，继续反复施行人工呼吸， 直到患者恢复自然呼吸为止，成人每分钟约12-16次，小孩约15-20次。<br />
　　12.如无脉搏，准备实施胸外心脏按摩术。<br />
　　13.沿肋骨下缘向上滑找到剑突头端起向上两指幅处， 以另一手之掌根放至按摩位置，注意不可按压剑突。<br />
　　14.两手交插互扣，指尖翘起，避免接触肋骨。<br />
　　15.施救者两臂伸直，与患者身体呈垂直， 肩膀在胸骨正上方，迅速下压4-5公分（1.5-2寸）。<br />
　　16.心脏按摩施行速率，成人每分钟约80-100次，年幼患者速率应加快， 婴幼儿患者每分钟约100-120次，口诀：“一下、二下、……十一、十二、十叁、十四、十五”。<br />
　　17.心脏按摩施行速率，成人每分钟约80-对於幼童应酌情施压，1-8岁左右患者， 可改用单掌施压，人工呼吸改用口对口鼻；人工呼吸：心脏按摩=1：5.<br />
　　18.对于婴幼儿应酌情施压，一岁以下患者， 可改用两指施压，使用中指及无名指，按摩位置为乳头连线中点下一指幅，人工呼吸改用口对口鼻； 人工呼吸：心脏按摩=1：5.<br />
　　19.单人施救人工呼吸：心脏按摩=2：15， 双人施救人工呼吸：心脏按摩=1：5.<br />
　　20.在做完四个循环後吹完两口气，需检查脉搏3-5秒；若无脉搏则继续心脏按摩， 以後每四次循环或3-5分钟检查一次。<br />
　　21.若有脉搏则检查呼吸3-5秒，若有呼吸及将病人置于复苏姿势，以避免呕吐物造成吸入性肺炎，若无呼吸则继续实施人工呼吸。<br />
　　22.最后~ 各安天命。</p>
]]></content:encoded>
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		<title>生物信息学相关文献书籍下载</title>
		<link>http://www.91bio.com/bioinformatics-literature-books-to-download/</link>
		<comments>http://www.91bio.com/bioinformatics-literature-books-to-download/#comments</comments>
		<pubDate>Sun, 15 Jan 2012 11:51:33 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[下载]]></category>
		<category><![CDATA[生物信息学]]></category>

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		<description><![CDATA[数据挖掘技术在生物信息学中的应用探索.pdf Bioinformatics+for+Geneticists+2ed.pdf Computational_Intelligence_Methods_for_Bioinformatics_and_Biostatistics.pdf Mastering+Perl+for+Bioinformatics.pdf Bioinformatics-The Machine learning approach.pdf Bioinformatics.pdf Knowledge-Based_Bioinformatics.pdf 生物信息学手册.rar Bioinformatics+(2007).pdf 樊龙江+生物信息学+（第三版）.pdf 生物信息学2010年(第三版).pdf Introduction_to_Bioinformatics_Algorithm.pdf 生物信息学概论.rar Linux programming for bioinformatics.pdf 北京华大基因研究中心生物信息学培训教材.pdf Introduction_to_Bioinformatics.pdf bioperl.pdf GENOMIC.PERL-From.Bioinformatics.Basics.to.Working.Code.pdf 生物信息学概论.pdf 生物信息学手册+2002年+第二版.pdf Developing.Bioinformatics.Computer.Skills.pdf Bioinformatics.Biocomputing.and.Perl.pdf 简明生物信息学 钟扬等主编.pdf Oreilly.Mastering.Perl.For.Bioinformatics.chm (ebook+html)+Biology+O&#8217;Reilly+Beginning+Perl+for+Bioinformat.zip Bioinformatics &#8211; The Machine Learning Approach (2001).pdf 生物信息学数据库的检索与利用.pdf 生物信息学辞典.pdf Beginning_Perl_for_Bioinformatics.pdf Microarray+Bioinformatics.pdf EMBOSS快捷指南.pdf Bioinformatics+and+Functional+Genomics+2ed.pdf Bioinformatics-Sequence+and+Genome+Analysis.pdf linux_for_bioinformatics.pdf 生物信息学中的计算机技术.pdf 生物信息学：机器学习方法.pdf 生物信息学培训教材.pdf 生物信息学的常用工具网址.txt 生物信息实验.rar bioinfo_perl.pdf 生物信息学算法.pdf Oreilly.Mastering.Perl.For.Bioinformatics.eBook-LiB.rar [...]]]></description>
			<content:encoded><![CDATA[<div class='et-box et-info'>
					<div class='et-box-content'>本资源找生物收集自网络<a href="http://ibi.cqupt.edu.cn/bioinfo/download.php" target="_blank">http://ibi.cqupt.edu.cn/bioinfo/download.php</a>，此网站还有其他相关文献资源下载，有兴趣的tx可前去看看！</div></div>
<p><img class="aligncenter" title="32" src="http://t2.gstatic.com/images?q=tbn:ANd9GcTtptMM0OVBRrCeG9ozBfYxXBaUHsS5QMY3plkN956bzYxIAYCVZI9m3PIn" alt="" width="272" height="185" /></p>
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</ul>
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		<title>生物学笑话几则</title>
		<link>http://www.91bio.com/biology-jokes-ikunori/</link>
		<comments>http://www.91bio.com/biology-jokes-ikunori/#comments</comments>
		<pubDate>Sat, 14 Jan 2012 00:55:00 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物笑话]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645760</guid>
		<description><![CDATA[现在离春节时越来越近了，后天就是小年了，各位tx有的还在为回家的车票犯愁，找生物说您就别愁了，今天的船票不也是没有搞到吗。分享几个有关生物的小笑话吧，人生不能没有乐啊！ &#160; &#160;]]></description>
			<content:encoded><![CDATA[<p>现在离春节时越来越近了，后天就是小年了，各位tx有的还在为回家的车票犯愁，找生物说您就别愁了，今天的船票不也是没有搞到吗。分享几个有关生物的小笑话吧，人生不能没有乐啊！</p>
<p>&nbsp;</p>
<div class='et-box et-bio'>
					<div class='et-box-content'>
<p>1.有一只青蛙来到女巫的城堡,来问他的爱情,女巫占卜后对他说:你即将和一位美丽的姑娘见面.青蛙高兴的说:是不是她的东西掉了,我帮她拣回来, 然后她 给我一个感激之吻,呵呵然后我就变成王子,最后我们过着幸福的日子.女巫叹了口气说:不是,是在她下学期的生物课上&#8230;.</p>
<p>2.从前有一只蚂蚁和一头大象相爱了，于是他们结婚了。但天有不测风云，不久大象死了，小蚂蚁成了寡妇，她懊恼地说：TMD后半辈子不用干别的了，光埋他了。</p>
<p>3. 佐罗之死: 一日，佐罗到情妇家与情妇幽会。情妇问佐罗：“要是我丈夫回来了，怎么办？佐罗说：“没事儿，你丈夫要是回来了，我就从窗户跳下去，我的马会在下面接我 的.情妇说：要是听到三声敲门，就是我丈夫回来了。佐罗说：我知道了.过了一会儿，天下雨了。突然传来“咚、咚、咚“三声敲门声。说时迟，那时快，佐罗从 床上飞身跃下，一转眼，已经从窗户跳出。情妇见佐罗已走，便去开门。只见门前站着一匹马，对她说：“你告诉佐罗一声，外面下雨了，我在楼道里等他。</p>
<p>4.雌与雄：学生问生物学老师：“为什么雌性用♀表示，而雄性则用♂表示呢？”生物学老师：“很简单，雄的正在求婚”</p>
<p>5.超级细菌：科学家应用转基因技术创造了超级细菌。因为自己有本事，他很瞧不起别人。乳酸菌看不上他，骂道：“你以为你是谁？说白了也就一个杂种。”</p>
<p>6.强大与美丽
儿子问我：“爸爸，为什么动物都是雄的漂亮，可人却是女的好看？”我得意地：“一般地，强者嘛，丑点也无所谓，就不需美丽了。”
儿子乐了：“这么说您是个强者？”</p>
</div></div>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>看看什么是真正的生物猛男</title>
		<link>http://www.91bio.com/see-what-is-the-real-biological-takeo/</link>
		<comments>http://www.91bio.com/see-what-is-the-real-biological-takeo/#comments</comments>
		<pubDate>Thu, 12 Jan 2012 06:10:01 +0000</pubDate>
		<dc:creator>pipi302</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[实验室生活]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645755</guid>
		<description><![CDATA[本文转载自网络，真正出处找生物没法考证，看看下面的生物猛男，是不是也有你的影子，是猛男（女）的顶一下！ 我是一名猛男，一名生物猛男。猛男不一定都学生物，但学生物的一定都是猛男。 生物猛男，就是做实验不戴手套，不穿白大褂，不戴口罩，不戴护目镜。 琼脂糖胶其实和水果冻是一样的，EB也没什么可怕，有一次我把EB沾在了手指上， 成屎黄色，我就当它是美年达了。 液氮也没有那么冷，我曾经被液氮冻一下也就是皮肉发白，省得买面膜和化妆品了， 大宝SOD都是浮云，超氧化物岐化酶算什么， 玉米幼芽中也有SOD的，我曾经把它涂在脸上，美白效果还真不如液氮。 对了，我在实践中发现，原来单物质也是可以做炸弹的， 国产劣质EP管，放上液氮，可以当摔炮使用，不会污染空气，比较环保。 CTAB的名字很长，沾一点也不会有事，SDS我曾经把它叫做SBS，就是SB的复数形式。 氯仿异戊醇味道很刺激，有点初恋的感觉，加点苯酚就更完美了。 丙烯酰胺能毒害我的神经，但毒害不了我猛男的精神。 TEMED闻起来和皮蛋的味道是一样的，自从做了生物猛男之后，我就开始讨厌吃皮蛋。 拥有了考马氏亮蓝，就可以变身为阿凡达。硝酸银会使你的皮肤发黑， 我曾经多次与硝酸银发生亲密接触，把我原来经液氮亮白的皮肤又染黑了，原来这就是黑白配。 氢氧化钠比硝酸银厉害多了，可以烧烂你的皮肉，甲醛闻起来有一点甜。 大肠杆菌弥漫的空气，造就了坚强的意志和强壮的体魄，在充满了大肠杆菌的空气中进食， 已经成为家常便饭，哦，不对，应该是“实验室便饭”。 细菌吃的比人好，又要土豆，又要牛肉膏，荤素搭配。大肠杆菌是我微生物界的朋友， 拟南芥是我植物界的朋友，小白鼠是我动物界的朋友。 我曾经在使用超净工作台时，紫外灯忘了关，我的双手已成桑田， 臭氧的味道其实也不臭，比起TEMED，算得了什么。 超净台工作时，要用酒精擦拭双手杀菌，有一次，我的双手还沾有酒精， 就靠近了酒精灯的外焰，表演了一把火云掌。 有一次，我向一个女生表白，后来她问我是学什么的，我说是学生物的， 她就发了我张好人卡，原来升汞并不毒，最毒的是女人的心。 至此以后，我只向男生表白。我有一个师兄，曾经做Southen杂交时， 把探针液打翻了，经过了同位素的照射以后，第二天眼睛是会变红的，呕吐也是伴随的。 所以看到眼红呕吐的，不一定是怀孕了，还可能是搞生物的。 在国内申请基金，不但要会写，还要会喝酒。发文章是要靠水平的，《Nature》《Science》是个梦想。 真正的猛男，敢于从容面对每一个生化毒剂，敢于一辈子对生物不离不弃。]]></description>
			<content:encoded><![CDATA[<p>本文转载自网络，真正出处找生物没法考证，看看下面的生物猛男，是不是也有你的影子，是猛男（女）的顶一下！</p>
<p><img class="aligncenter" src="http://www.reader8.cn/uploadfile/2010/1229/20101229044229416.jpg" alt="" width="320" height="204" /></p>
<p>我是一名猛男，一名生物猛男。猛男不一定都学生物，但学生物的一定都是猛男。</p>
<p>生物猛男，就是做实验不戴手套，不穿白大褂，不戴口罩，不戴护目镜。</p>
<p>琼脂糖胶其实和水果冻是一样的，EB也没什么可怕，有一次我把EB沾在了手指上，</p>
<p>成屎黄色，我就当它是美年达了。</p>
<p>液氮也没有那么冷，我曾经被液氮冻一下也就是皮肉发白，省得买面膜和化妆品了，</p>
<p>大宝SOD都是浮云，超氧化物岐化酶算什么，</p>
<p>玉米幼芽中也有SOD的，我曾经把它涂在脸上，美白效果还真不如液氮。</p>
<p>对了，我在实践中发现，原来单物质也是可以做炸弹的，</p>
<p>国产劣质EP管，放上液氮，可以当摔炮使用，不会污染空气，比较环保。</p>
<p>CTAB的名字很长，沾一点也不会有事，SDS我曾经把它叫做SBS，就是SB的复数形式。</p>
<p>氯仿异戊醇味道很刺激，有点初恋的感觉，加点苯酚就更完美了。</p>
<p>丙烯酰胺能毒害我的神经，但毒害不了我猛男的精神。</p>
<p>TEMED闻起来和皮蛋的味道是一样的，自从做了生物猛男之后，我就开始讨厌吃皮蛋。</p>
<p>拥有了考马氏亮蓝，就可以变身为阿凡达。硝酸银会使你的皮肤发黑，</p>
<p>我曾经多次与硝酸银发生亲密接触，把我原来经液氮亮白的皮肤又染黑了，原来这就是黑白配。</p>
<p>氢氧化钠比硝酸银厉害多了，可以烧烂你的皮肉，甲醛闻起来有一点甜。</p>
<p>大肠杆菌弥漫的空气，造就了坚强的意志和强壮的体魄，在充满了大肠杆菌的空气中进食，</p>
<p>已经成为家常便饭，哦，不对，应该是“实验室便饭”。</p>
<p>细菌吃的比人好，又要土豆，又要牛肉膏，荤素搭配。大肠杆菌是我微生物界的朋友，</p>
<p>拟南芥是我植物界的朋友，小白鼠是我动物界的朋友。</p>
<p>我曾经在使用超净工作台时，紫外灯忘了关，我的双手已成桑田，</p>
<p>臭氧的味道其实也不臭，比起TEMED，算得了什么。</p>
<p>超净台工作时，要用酒精擦拭双手杀菌，有一次，我的双手还沾有酒精，</p>
<p>就靠近了酒精灯的外焰，表演了一把火云掌。</p>
<p>有一次，我向一个女生表白，后来她问我是学什么的，我说是学生物的，</p>
<p>她就发了我张好人卡，原来升汞并不毒，最毒的是女人的心。</p>
<p>至此以后，我只向男生表白。我有一个师兄，曾经做Southen杂交时，</p>
<p>把探针液打翻了，经过了同位素的照射以后，第二天眼睛是会变红的，呕吐也是伴随的。</p>
<p>所以看到眼红呕吐的，不一定是怀孕了，还可能是搞生物的。</p>
<p>在国内申请基金，不但要会写，还要会喝酒。发文章是要靠水平的，《Nature》《Science》是个梦想。</p>
<p>真正的猛男，敢于从容面对每一个生化毒剂，敢于一辈子对生物不离不弃。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/see-what-is-the-real-biological-takeo/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>WB试验技术问题问答</title>
		<link>http://www.91bio.com/wb-test-technical-q-a/</link>
		<comments>http://www.91bio.com/wb-test-technical-q-a/#comments</comments>
		<pubDate>Tue, 10 Jan 2012 00:33:37 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[WB]]></category>
		<category><![CDATA[wester-blot]]></category>
		<category><![CDATA[蛋白印迹]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645750</guid>
		<description><![CDATA[1，我的检测结果为什么无信号或者信号很弱? 1)可能原因:转移蛋白失败或者效率太低 重新检查印迹过程：使用染料对胶和膜染色来检测转移效果。或者使用预染的彩虹marker来帮助监控转印的过程。 优化胶体中的丙稀酰胺浓度，转移时间和电流等来提高转膜的效率。 确定印迹过程中胶体和膜正确接触，胶体和膜的朝向与电极连接正确。 确定在印迹过程中，是否冷凝效果不好导致高温产生了气泡或者胶/膜变性等情况从而影响了转印效率。 2)可能原因:检测系统 非常推荐使用斑点印迹系统检测抗原与一抗的结合效果，并筛选合适的浓度。对于一抗的优化，我们推荐起始浓度可以按照 1:100,1:500,1:1000,1:5000稀释，另外注意最优的一抗浓度需要根据所使用的抗体种属来源的不同而有所改变，除了抗体需要稀释优化 之外，经常值得改变一抗的种属来源，例如，对于化学发光检测(ECL, ECL Plus and ECL AdvanceTM),抗兔的一抗能产生较强的信号，但是对于ECL Plex，抗鼠的一抗能给予更强的信号，反之依然。对于ECL Plex CyDye™耦联的二抗我们推荐起始1:1250,1:1500,1:2500,1:3500和1:4000稀释。通常1:2500是ECL Plex二抗最理想的稀释。 确定检测试剂被正确保存并使用。确定检测试剂是否有效：在暗室内，预混合小计量的检测液1和检测液2（各0.5ml），并加入1μl的HRP标记的抗体，应可观察到蓝光。 低亲和力的一抗：使用无Tween的溶液。 3）可能原因：样品的上样量不够，信号过低 增加蛋白上样量，上样前浓缩样品。 使用灵敏度更高的检测体系。 延长曝光时间（1-2小时）。 4)可能原因:蛋白与膜结合较弱 转印缓冲液中的SDS（0.05％）可以提高转印效率，但是也会降低蛋白和膜的结合效率，可以降低SDS含量或者不使用SDS。 使用新换的膜以确定正确的水合作用。 2,我的Western Blot过程中背景总是很高，怎么回事？ 1)可能原因:抗体浓度过高，信号太强，胶片超负荷 过高的一抗二抗都会带来高背景，增加抗体稀释倍数，采用斑点印迹技术筛选最合适的抗体浓度。 2）可能原因:封闭不充分 确定封闭液正确制备，并使用新配置的封闭液。 按需要提高封闭液的浓度（至少到10％）和封闭时间。 提高Tween浓度（提示：Tween可能降低抗体的结合力，特别对于低亲和力的一抗）。 延长孵育时间/或者封闭孵育的温度。 尝试替换封闭液：1-10％BSA TBS-T或者PBS-T（新配）。0.5-3％ 明胶 TBS-T or PBS-T(新配)，它们的孵育时间和温度将需要根据不同情况确定，从室温下1个小时到37℃或者50℃过夜均可。 3）可能原因:洗涤不充分 增加洗涤次数，时间和洗涤液的量。在清洗时加入少量的表面活性剂如SDS，比NP-40的去污力强，NP-40比Tween-20强。 4）可能原因:印迹器具，缓冲液被污染被污染  清洗或替换所有设备，确定所有缓冲液都是新配和过滤过。 5）可能原因:膜的问题 确定膜被全部浸泡在液体中，特别是在洗涤步骤，膜充分水合。 使用新鲜的，高品质的膜：硝酸纤维素膜建议使用Hybond ECL。 膜的污染可能导致检测试剂的非特异性结合，使用手套和非锯齿型镊子对印迹进行小心操作。 洗涤步骤后要使用干净的镊子对印迹进行操作。 6）可能原因:曝光过度 [...]]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="wb" src="http://www.bioku.net/wp-content/uploads/2012/01/Western_blot_transfer.png" alt="" width="596" height="211" /></p>
<div class='et-box et-info'>
					<div class='et-box-content'>本文来自于GE公司的技术答疑集锦，针对于世界上第一个化学发光试剂ECL。</div></div>
<p><strong>1，我的检测结果为什么无信号或者信号很弱?</strong></p>
<p><strong>1)可能原因:转移蛋白失败或者效率太低</strong></p>
<p>重新检查印迹过程：使用染料对胶和膜染色来检测转移效果。或者使用预染的彩虹marker来帮助监控转印的过程。<br />
优化胶体中的丙稀酰胺浓度，转移时间和电流等来提高转膜的效率。<br />
确定印迹过程中胶体和膜正确接触，胶体和膜的朝向与电极连接正确。<br />
确定在印迹过程中，是否冷凝效果不好导致高温产生了气泡或者胶/膜变性等情况从而影响了转印效率。</p>
<p><strong>2)可能原因:检测系统</strong></p>
<p>非常推荐使用斑点印迹系统检测抗原与一抗的结合效果，并筛选合适的浓度。对于一抗的优化，我们推荐起始浓度可以按照 1:100,1:500,1:1000,1:5000稀释，另外注意最优的一抗浓度需要根据所使用的抗体种属来源的不同而有所改变，除了抗体需要稀释优化 之外，经常值得改变一抗的种属来源，例如，对于化学发光检测(ECL, ECL Plus and ECL AdvanceTM),抗兔的一抗能产生较强的信号，但是对于ECL Plex，抗鼠的一抗能给予更强的信号，反之依然。对于ECL Plex CyDye™耦联的二抗我们推荐起始1:1250,1:1500,1:2500,1:3500和1:4000稀释。通常1:2500是ECL Plex二抗最理想的稀释。<br />
确定检测试剂被正确保存并使用。确定检测试剂是否有效：在暗室内，预混合小计量的检测液1和检测液2（各0.5ml），并加入1μl的HRP标记的抗体，应可观察到蓝光。<br />
低亲和力的一抗：使用无Tween的溶液。</p>
<p><strong>3）可能原因：样品的上样量不够，信号过低</strong></p>
<p>增加蛋白上样量，上样前浓缩样品。<br />
使用灵敏度更高的检测体系。<br />
延长曝光时间（1-2小时）。</p>
<p><strong>4)可能原因:蛋白与膜结合较弱</strong></p>
<p>转印缓冲液中的SDS（0.05％）可以提高转印效率，但是也会降低蛋白和膜的结合效率，可以降低SDS含量或者不使用SDS。<br />
使用新换的膜以确定正确的水合作用。</p>
<p><strong>2,我的Western Blot过程中背景总是很高，怎么回事？</strong></p>
<p><strong>1)可能原因:抗体浓度过高，信号太强，胶片超负荷</strong></p>
<p>过高的一抗二抗都会带来高背景，增加抗体稀释倍数，采用斑点印迹技术筛选最合适的抗体浓度。</p>
<p><strong>2）可能原因:封闭不充分</strong></p>
<p>确定封闭液正确制备，并使用新配置的封闭液。<br />
按需要提高封闭液的浓度（至少到10％）和封闭时间。<br />
提高Tween浓度（提示：Tween可能降低抗体的结合力，特别对于低亲和力的一抗）。<br />
延长孵育时间/或者封闭孵育的温度。<br />
尝试替换封闭液：1-10％BSA TBS-T或者PBS-T（新配）。0.5-3％ 明胶 TBS-T or PBS-T(新配)，它们的孵育时间和温度将需要根据不同情况确定，从室温下1个小时到37℃或者50℃过夜均可。</p>
<p><strong>3）可能原因:洗涤不充分</strong></p>
<p>增加洗涤次数，时间和洗涤液的量。在清洗时加入少量的表面活性剂如SDS，比NP-40的去污力强，NP-40比Tween-20强。</p>
<p><strong>4）可能原因:印迹器具，缓冲液被污染被污染</strong></p>
<p> 清洗或替换所有设备，确定所有缓冲液都是新配和过滤过。</p>
<p><strong>5）可能原因:膜的问题</strong></p>
<p>确定膜被全部浸泡在液体中，特别是在洗涤步骤，膜充分水合。<br />
使用新鲜的，高品质的膜：硝酸纤维素膜建议使用Hybond ECL。<br />
膜的污染可能导致检测试剂的非特异性结合，使用手套和非锯齿型镊子对印迹进行小心操作。<br />
洗涤步骤后要使用干净的镊子对印迹进行操作。</p>
<p><strong>6）可能原因:曝光过度</strong></p>
<p>尝试在在尽量短时间内曝光（至少15秒）。如果不宜再缩短曝光时间，可考虑降低抗体浓度。<br />
再次曝光前，可将印迹放置盒中5-10分钟。<br />
<strong>3,在使用新产品ECL Plex系统的时候需要注意些什么？</strong></p>
<p>新推出的ECL Plex的主要优势是采用了两种荧光染料标记（Cy3,Cy5），从而在Western Blot实验中同时完成两种蛋白的分析，灵敏度更高，定量更精确。在使用ECL Plex检测系统中需要注意:<br />
在进行多蛋白检测时，使用ECL Plex Cy5偶联的二抗来检测在你样品中非常低丰度的蛋白，因为ECL Plex Cy5偶联的二抗较ECL Plex Cy3灵敏一些。<br />
在转膜前，凝胶前端的溴酚蓝应去除掉，因为在膜上的溴酚蓝也会给出荧光信号。<br />
为了改善微弱信号的检测，跳过封闭，继而在转膜后直接干燥。室温下至少干燥两小时。也可以通过在操作中用PBS 0.1% TritonX-100代替PBS 0.1%Tween 20的方法来提高微弱信号的检测。<br />
为了减少背景的干扰，使用的Hybond-ECL膜可以在扫描前干燥1小时（37℃到40℃）。但Hybond-ECL膜在干燥状态下很脆弱，我们并不推荐干燥。<br />
如果你检测到了很多非特异性的蛋白条带，我们推荐你使用Hybond-LFP膜。使用2％ECL高级封闭试剂也给减少非特异性的结果。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/wb-test-technical-q-a/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>杀手、动物杀手</title>
		<link>http://www.91bio.com/killer-killer-animals/</link>
		<comments>http://www.91bio.com/killer-killer-animals/#comments</comments>
		<pubDate>Sun, 08 Jan 2012 09:55:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645740</guid>
		<description><![CDATA[自然界有许多致命的掠食者，有些给人深刻印象，有些则已灭绝。但还有一些鲜为人知的食肉动物可能被我所低估或忽视，它们的捕猎技巧非常神奇，却是是专家级杀手。以下就是十种被低估的“掠食者”动物： 1.家猫：比野生的同类更致命 人们都知道野生的猫科动物有着惊人的多样性和捕食能力，例如可怕的老虎和非洲猎豹等。然而，野生的猫科动物并不在十大被低估的掠食者名单之上。家猫被视为一种听话的温和动物，但身处适当环境，却比野生的同类更致命。它们不仅有出色的视力、听力和灵敏性，还有锋利的爪子。没有其他动物能像这种被低估的掠食者一样对自然界有毁灭性的冲击力。 2.隐肛狸   这是一种马达加斯加岛特有的食肉哺乳动物。成年隐肛狸约有2.5英尺长，长着和身体长度相仿的尾巴，这有助于它们敏捷地穿越树木，捕捉狐猴和其他动物。它们还是一种好斗的掠食者，好像用一天时间来掠食，这表明它们是机会主义掠食者。事实上，隐肛狸把猎物隐藏了起来。考虑到它的体重不及一只可卡犬、在马达加斯加岛扮演的一流掠食者角色和不引人注目的形象，这种动物当之无愧地入选世界最被低估的掠食者名单。 3.非洲猎犬：40只犬组成捕猎队   非洲猎犬不如狼和其他犬科掠食者有名，却是一种非同寻常的动物，它的捕食成功率高达94%。40只非洲猎犬组成一支捕猎队伍，先展开无情追捕，让猎物筋疲力尽，然后一拥而上将其杀死。数量让它们像进行接力赛一样不停追捕猎物：一只猎犬落在后面时另一只会迎面而上。这些被低估掠食者更不寻常的地方或许是它们会以捕猎队伍中受伤或患病的同类为食，这反映了它们脆弱的社会关系和残酷的捕猎本性。 4.白须蛛：最聪明的蜘蛛 没有蜘蛛的掠食者名单肯定是不完美的。白须蛛这种蜘蛛很小，只有约拇指甲大小，智慧却弥补了它身材短小的不足。科学家认为，白须蛛是世界上最聪明的蜘蛛。这种被低估的掠食者以其他蜘蛛为食，实际上能为攻击猎物制定一套策略。根据蛛形纲动物标准，它有非常好的视力。另外，白须蛛会反复试验战术，以便弄清楚怎样攻击一只以前从未见过的蜘蛛。 5.变色龙：三万分之一秒内袭击猎物   提到爬行动物中的掠食者，人们必然想起鳄鱼和科摩多龙(巨蜥)，却很少因为致命的捕食技巧想到变色龙。这些被低估的掠食者是一种非常特别的蜥蜴，有一双使它们能看到完整360度和同时注视两个不同地点的立体眼。它们甚至还能看紫外线。一旦锁定目标，变色龙那长于它们身体3倍的舌头就会在三万分之一秒时间里袭击猎物，然后把击晕的猎物收回空口慢慢享用。 6.蜜獾：可爱杀手   因为有这样一个名字，人们或许会认为这是一种相当可爱的小动物。事实上，蜜獾是地球上最危险的动物之一。和其他动物相比，它可能是最大胆的动物。蜜獾站起来约有一英尺高，以能捕捉到的所有动物为食，例如眼镜蛇、黑曼巴蛇、豺狼和小鳄鱼等。它有非常锋利的牙齿，而完全伸开有两英寸长的前爪使它成为出色的爬树高手，这有助于它袭击蜂窝，以便吃到里面很有营养的幼虫。这种被低估的掠食者十分大胆，以至于在遭到一群非洲蜜蜂攻击时还能继续进食。 7.军蚁：庞大捕食军队   多数人或许听说过这些昆虫，却对它们的可怕不以为然。军蚁有多个种类，亚马逊河军蚁的破坏力却最大。兵蚁能长到半英寸(1.3厘米)长，还有强有力的下颌。它们组成一支庞大的捕食军队在丛林地面上前进，100万只军蚁能攻击任何挡住它们去路的物体，例如昆虫、青蛙、蜥蜴和比它们身体大出许多的动物。它们一天能杀死数万猎物。 8.角鹰：世界上最强健的鹰   令人惊讶的是，虽然角鹰是世界上最强健的鹰，却是一种知名度远不及其他同类的鸟。这种被低估的掠食者能长到约3.5英尺(约1米)高，还有完全伸开后长达5英寸(约13厘米)的爪，它们比一头发育完全的灰熊的爪都长。角鹰能提起体重是它们身体四分之三的猎物，例如猴子、树獭和其他树居哺乳动物以及金刚鹦鹉等鸟。它们有良好的视力，在距200多码的地方能认出只有一英寸大小的目标。 9.北美短尾鼩鼱：制造神经毒素   由于新陈代谢极为快速，这种鼩鼱和多数啮齿动物一样，每天至少吃相当于自己体重的食物。北美短尾鼩鼱之所以入选十大被低估的掠食者名单，原因是它有一点和多数哺乳动物不同，那就是有毒。虽然只有四、五英寸长，大约半盎司重，它们制造的神经毒素却足以征服青蛙和老鼠等比它们身体大许多的猎物。它们长有32颗锋利牙齿，鼻子里布满让它们闻到猎物的嗅觉感受器，密集的胡须有助于它们进行触觉侦察。啮齿动物通常被看作猎物而不是掠食者，这种小动物却推翻了这个观点。 10.海豚：团队作战捕猎   海豚群用声纳定位找到猎物，接着采取集体行动，迫使鱼聚在一起，然后轮流冲击这个球形鱼群，以便尽可能多地进食。有的海豚种类甚至把鱼赶进无法逃脱的浅水水域，有的还会用尾巴打晕猎物。这些掠食者有团队作战能力和毁灭性的有效猎食方法。 &#160;]]></description>
			<content:encoded><![CDATA[<p>自然界有许多致命的掠食者，有些给人深刻印象，有些则已灭绝。但还有一些鲜为人知的食肉动物可能被我所低估或忽视，它们的捕猎技巧非常神奇，却是是专家级杀手。以下就是十种被低估的“掠食者”动物：</p>
<p>1.家猫：比野生的同类更致命</p>
<p align="center">
<p align="center"><img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E5%AE%B6%E7%8C%AB.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>人们都知道野生的猫科动物有着惊人的多样性和捕食能力，例如可怕的老虎和非洲猎豹等。然而，野生的猫科动物并不在十大被低估的掠食者名单之上。家猫被视为一种听话的温和动物，但身处适当环境，却比野生的同类更致命。它们不仅有出色的视力、听力和灵敏性，还有锋利的爪子。没有其他动物能像这种被低估的掠食者一样对自然界有毁灭性的冲击力。</p>
<p>2.隐肛狸</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E9%9A%90%E8%82%9B%E7%8B%B8.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>这是一种马达加斯加岛特有的食肉哺乳动物。成年隐肛狸约有2.5英尺长，长着和身体长度相仿的尾巴，这有助于它们敏捷地穿越树木，捕捉狐猴和其他动物。它们还是一种好斗的掠食者，好像用一天时间来掠食，这表明它们是机会主义掠食者。事实上，隐肛狸把猎物隐藏了起来。考虑到它的体重不及一只可卡犬、在马达加斯加岛扮演的一流掠食者角色和不引人注目的形象，这种动物当之无愧地入选世界最被低估的掠食者名单。</p>
<p>3.非洲猎犬：40只犬组成捕猎队</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E9%9D%9E%E6%B4%B2%E7%8C%8E%E7%8A%AC.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>非洲猎犬不如狼和其他犬科掠食者有名，却是一种非同寻常的动物，它的捕食成功率高达94%。40只非洲猎犬组成一支捕猎队伍，先展开无情追捕，让猎物筋疲力尽，然后一拥而上将其杀死。数量让它们像进行接力赛一样不停追捕猎物：一只猎犬落在后面时另一只会迎面而上。这些被低估掠食者更不寻常的地方或许是它们会以捕猎队伍中受伤或患病的同类为食，这反映了它们脆弱的社会关系和残酷的捕猎本性。</p>
<p>4.白须蛛：最聪明的蜘蛛</p>
<p align="center">
<p align="center"><img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E7%99%BD%E9%A1%BB%E8%9B%9B.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>没有蜘蛛的掠食者名单肯定是不完美的。白须蛛这种蜘蛛很小，只有约拇指甲大小，智慧却弥补了它身材短小的不足。科学家认为，白须蛛是世界上最聪明的蜘蛛。这种被低估的掠食者以其他蜘蛛为食，实际上能为攻击猎物制定一套策略。根据蛛形纲动物标准，它有非常好的视力。另外，白须蛛会反复试验战术，以便弄清楚怎样攻击一只以前从未见过的蜘蛛。</p>
<p>5.变色龙：三万分之一秒内袭击猎物</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E5%8F%98%E8%89%B2%E9%BE%99.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>提到爬行动物中的掠食者，人们必然想起鳄鱼和科摩多龙(巨蜥)，却很少因为致命的捕食技巧想到变色龙。这些被低估的掠食者是一种非常特别的蜥蜴，有一双使它们能看到完整360度和同时注视两个不同地点的立体眼。它们甚至还能看紫外线。一旦锁定目标，变色龙那长于它们身体3倍的舌头就会在三万分之一秒时间里袭击猎物，然后把击晕的猎物收回空口慢慢享用。</p>
<p>6.蜜獾：可爱杀手</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E8%9C%9C%E7%8D%BE.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>因为有这样一个名字，人们或许会认为这是一种相当可爱的小动物。事实上，蜜獾是地球上最危险的动物之一。和其他动物相比，它可能是最大胆的动物。蜜獾站起来约有一英尺高，以能捕捉到的所有动物为食，例如眼镜蛇、黑曼巴蛇、豺狼和小鳄鱼等。它有非常锋利的牙齿，而完全伸开有两英寸长的前爪使它成为出色的爬树高手，这有助于它袭击蜂窝，以便吃到里面很有营养的幼虫。这种被低估的掠食者十分大胆，以至于在遭到一群非洲蜜蜂攻击时还能继续进食。</p>
<p>7.军蚁：庞大捕食军队</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E5%86%9B%E8%9A%81.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>多数人或许听说过这些昆虫，却对它们的可怕不以为然。军蚁有多个种类，亚马逊河军蚁的破坏力却最大。兵蚁能长到半英寸(1.3厘米)长，还有强有力的下颌。它们组成一支庞大的捕食军队在丛林地面上前进，100万只军蚁能攻击任何挡住它们去路的物体，例如昆虫、青蛙、蜥蜴和比它们身体大出许多的动物。它们一天能杀死数万猎物。</p>
<p>8.角鹰：世界上最强健的鹰</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E8%A7%92%E9%B9%B0.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>令人惊讶的是，虽然角鹰是世界上最强健的鹰，却是一种知名度远不及其他同类的鸟。这种被低估的掠食者能长到约3.5英尺(约1米)高，还有完全伸开后长达5英寸(约13厘米)的爪，它们比一头发育完全的灰熊的爪都长。角鹰能提起体重是它们身体四分之三的猎物，例如猴子、树獭和其他树居哺乳动物以及金刚鹦鹉等鸟。它们有良好的视力，在距200多码的地方能认出只有一英寸大小的目标。</p>
<p>9.北美短尾鼩鼱：制造神经毒素</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E5%8C%97%E7%BE%8E%E7%9F%AD%E5%B0%BE%E9%BC%A9%E9%BC%B1.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>由于新陈代谢极为快速，这种鼩鼱和多数啮齿动物一样，每天至少吃相当于自己体重的食物。北美短尾鼩鼱之所以入选十大被低估的掠食者名单，原因是它有一点和多数哺乳动物不同，那就是有毒。虽然只有四、五英寸长，大约半盎司重，它们制造的神经毒素却足以征服青蛙和老鼠等比它们身体大许多的猎物。它们长有32颗锋利牙齿，鼻子里布满让它们闻到猎物的嗅觉感受器，密集的胡须有助于它们进行触觉侦察。啮齿动物通常被看作猎物而不是掠食者，这种小动物却推翻了这个观点。</p>
<p>10.海豚：团队作战捕猎</p>
<p align="center">
<p align="center"> <img src="http://blog.51xuewen.com/upload/blog/Aimg/2010/5/6/%E6%B5%B7%E8%B1%9A.jpg" alt="" width="400" height="400" /></p>
<p align="center">
<p>海豚群用声纳定位找到猎物，接着采取集体行动，迫使鱼聚在一起，然后轮流冲击这个球形鱼群，以便尽可能多地进食。有的海豚种类甚至把鱼赶进无法逃脱的浅水水域，有的还会用尾巴打晕猎物。这些掠食者有团队作战能力和毁灭性的有效猎食方法。</p>
<p><strong><br />
</strong></p>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>找生物网摘：巨型蚂蚁和精子质量</title>
		<link>http://www.91bio.com/looking-for-biological-networks-abstract-giant-ants-and-sperm-quality/</link>
		<comments>http://www.91bio.com/looking-for-biological-networks-abstract-giant-ants-and-sperm-quality/#comments</comments>
		<pubDate>Sat, 07 Jan 2012 03:37:27 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[资讯]]></category>
		<category><![CDATA[分子生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645735</guid>
		<description><![CDATA[今天看着生物学方面的新闻，心血来潮突想把一些有意思的新闻以网摘的形式分享，也避免单纯的复制粘贴了，并且这个可以长期的做一个系列。今天的题目是两个牛马不相及的东东，不要产生误会啊！ 1. 巨型蚂蚁： 上图中的蚂蚁够大个吧，这个还是使用基因激活法造出一种形同怪物的“巨型兵蚁”。它们个头硕大，上颚宽阔，看上去即让人毛骨悚然。它们可能正是生活在数百万年前的蚂蚁祖先的模样。改造方法嘛，其实他们只要在普通的蚂蚁幼虫上涂抹一种特殊的荷尔蒙，便很容易创造出这种“巨型兵蚁”。尽管并不常见，这种兵蚁有时也能在自然界显现。在美国和墨西哥的荒漠中，它们的职责是保护其王国不被“入侵蚁群”攻占。巨大的头部便是他们与敌人作战的利器。在自然界中，名为“pheidole morrisi”的这种蚂蚁体内基本都已经具备相关基因，他们只要经过荷尔蒙的催化，便会转变成这种“怪物”蚂蚁。 文献链接：http://www.sciencemag.org/content/335/6064/79.full?sid=996032cf-6256-4ca6-b532-a5cf848ab599 2. 男性声音与精子质量 一般来说女性更喜欢声音低沉的男子，认为他们更具有男子气概。但有研究认为，这些声音低沉的男性产生精液的器官情况并不大好，一项衡量精液质量的指标是射精时的精子浓度，带有诱人低声的男性在这方面处于劣势。 一项澳大利亚的研究对男性声调、女性对其的看法以及男性的精子质量进行了调查。最先的研究结果没什么特别之处：女性更喜欢声音低沉的男子，认为他们更具有男子气概。然而接下来的一项研究结果却出乎人们的意料，他们发现这些男性产 生精液的器官情况并不大好。一项用于衡量精液质量的指标是射精时的精子浓度，然而带有诱人低声的男性在这方面却处于劣势。他们将这项 研究 发表在了《公共科学图书馆•综合》(PLoS ONE)上。研究者表示，较高水平的睾丸激素通常与更低沉的声调、更男性化的特征、更加具有统治力的行为以及更高的获得性伴侣成功率相关。虽然睾丸激素在精子形成时也起到了关键性的作用，但是高水平的睾丸激素实际上将会对精子生成造成损害。 文献链接：http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0029271 各位看官自个审量一下吧。]]></description>
			<content:encoded><![CDATA[<p>今天看着生物学方面的新闻，心血来潮突想把一些有意思的新闻以网摘的形式分享，也避免单纯的复制粘贴了，并且这个可以长期的做一个系列。今天的题目是两个牛马不相及的东东，不要产生误会啊！</p>
<p>1. 巨型蚂蚁：</p>
<p><img class="aligncenter" title="mayi" src="http://pic.biodiscover.com/uploads/9fc3d7152ba9336a670e36d0ed79bc43/article/biodiscover_65c40eb902478f0133.jpg" alt="" width="360" height="248" /></p>
<p>上图中的蚂蚁够大个吧，这个还是使用基因激活法造出一种形同怪物的“巨型兵蚁”。它们个头硕大，上颚宽阔，看上去即让人毛骨悚然。它们可能正是生活在数百万年前的蚂蚁祖先的模样。改造方法嘛，其实他们只要在普通的蚂蚁幼虫上涂抹一种特殊的荷尔蒙，便很容易创造出这种“巨型兵蚁”。尽管并不常见，这种兵蚁有时也能在自然界显现。在美国和墨西哥的荒漠中，它们的职责是保护其王国不被“入侵蚁群”攻占。巨大的头部便是他们与敌人作战的利器。在自然界中，名为“pheidole morrisi”的这种蚂蚁体内基本都已经具备相关基因，他们只要经过荷尔蒙的催化，便会转变成这种“怪物”蚂蚁。 <strong></strong></p>
<p><strong>文献链接：</strong><a href="http://www.sciencemag.org/content/335/6064/79.full?sid=996032cf-6256-4ca6-b532-a5cf848ab599" target="blank">http://www.sciencemag.org/content/335/6064/79.full?sid=996032cf-6256-4ca6-b532-a5cf848ab599</a></p>
<p>2. 男性声音与精子质量</p>
<p>一般来说女性更喜欢声音低沉的男子，认为他们更具有男子气概。但有研究认为，这些声音低沉的男性产生精液的器官情况并不大好，一项衡量精液质量的指标是射精时的精子浓度，带有诱人低声的男性在这方面处于劣势。</p>
<p><img class="aligncenter" src="http://pic.biodiscover.com/uploads/219d0a315520ccbbb971bba8f5d455fe/article/biodiscover_3c463260b33be7a7147.png" alt="" /></p>
<p>一项澳大利亚的研究对男性声调、女性对其的看法以及男性的精子质量进行了调查。最先的研究结果没什么特别之处：女性更喜欢声音低沉的男子，认为他们更具有男子气概。然而接下来的一项研究结果却出乎人们的意料，他们发现这些男性产 生精液的器官情况并不大好。一项用于衡量精液质量的指标是射精时的精子浓度，然而带有诱人低声的男性在这方面却处于劣势。他们将这项 研究 发表在了《公共科学图书馆•综合》(PLoS ONE)上。研究者表示，较高水平的睾丸激素通常与更低沉的声调、更男性化的特征、更加具有统治力的行为以及更高的获得性伴侣成功率相关。虽然睾丸激素在精子形成时也起到了关键性的作用，但是高水平的睾丸激素实际上将会对精子生成造成损害。</p>
<p><strong>文献链接：</strong><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0029271" target="_blank">http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0029271</a></p>
<p>各位看官自个审量一下吧。</p>
]]></content:encoded>
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		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>关于大象的有趣事</title>
		<link>http://www.91bio.com/there-are-interesting-about-elephants/</link>
		<comments>http://www.91bio.com/there-are-interesting-about-elephants/#comments</comments>
		<pubDate>Fri, 06 Jan 2012 04:58:35 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645733</guid>
		<description><![CDATA[1）有时候人们会认为：非洲象和亚洲象是同一物种，只是所在地理位置不同而已，但是从进化角度来讲，它们其实是作为亚洲象和猛犸象物种而单独存在的。 2）与大象血缘关系最近的是岩蹄兔——一种体型很小的、毛茸茸的哺乳动物，生活在撒哈拉以南的非洲地区和沿阿拉伯半岛的海岸。 岩蹄兔 3）非洲大象是地球上最大的陆生哺乳动物，并且雌性非洲象承受着所有生物中最长的孕期，通常要历时22个月。 4）尽管体型巨大，但是它们也很惧怕一些很小的动物。一项研究表明，它们会避开食用一种金合欢树，因为那是蚂蚁的家。尽管大象一脚就可以将这些蚂蚁踩得粉碎，但是大象很害怕蚂蚁会爬进它们的象鼻里，因为象鼻里充满了敏感的神经末梢。 5）大象不喜欢花生。它们在野外就算饿死也不会吃花生，而动物园也不会给所饲养大象喂食花生。 6）母象通常是15只一群，都是与“女族长”有亲戚关系且受其领导的，而“女族长”通常是这其中年纪最长的，它将决定所有成员一年365天的所有的行踪。 7）公象通常选择在12~15岁时离开母象群，但是他们并不孤独——它们可以加入公象群。在干旱时节，这些公象会形成一个等级森严的领导层以免受伤害以及竞争到更多的水。 8）亚洲象不会奔跑。因为奔跑时需要所有四只脚一起离地，但是生活在泰国的亚洲象通常至少要保持两只脚在地面上。 9）非洲象能通过其感官细胞检测出地震信号。地面震动先是从其前脚掌传至大腿及肩骨处，再传入中耳，最终使得大象能够“听出”地震。通过比较其各个前脚掌所接受信号的强弱，大象可以判断出这些声音的方向。 10）和人类婴儿、大猩猩、喜鹊及海豚一样，大象也通过了镜子测试，即它们在镜子中认出了自己。 11)大象也有可能被太阳晒伤，所以它们会很小心的保护自己。“大象会往它们后背及头部撒些沙子，这么做的目的一个是为了避免被太阳灼伤，另一个是为了免受寄生虫困扰。” 大象众议院和史密森国家动物园猎豹保护站的馆长Tony Barthel说。为了保护它们的后代，成年象会将他们的宝宝浸在沙土中，并且在它们睡觉时在旁边守护着。 12）一项最新研究证实，之前流传的关于非洲象因食用发酵过的马鲁拉树果实而“喝醉”的故事并不属实。大象不吃掉在地上的发酵水果，它们只吃新鲜的水果，而新鲜的水果不可能在其消化道内停留那么长时间来发酵，而且即使大象真的吃了发酵了的水果，那也要吃满1400个才能让它们“喝醉”。 13）目前有研究证实，大象已经进化出了第6根脚趾。这根脚趾始于软骨组织，与大象的大拇趾连在一起，但是会随着年龄的增长而逐渐转变成骨头。 14）肯尼亚的一些农民通过在边界处放置蜂箱来避免大象入侵他们的领土，这样不仅保护了庄稼，还使农民们获得了一笔额外的收入——蜂蜜。]]></description>
			<content:encoded><![CDATA[<p><img src="http://pic.biodiscover.com/uploads/0f28b5d49b3020afeecd95b4009adf4c/article/biodiscover_b67d9641a37c9e9141.jpg" alt="" /></p>
<p>1）有时候人们会认为：非洲象和亚洲象是同一物种，只是所在地理位置不同而已，但是从进化角度来讲，它们其实是作为亚洲象和猛犸象物种而单独存在的。</p>
<p>2）与大象血缘关系最近的是岩蹄兔——一种体型很小的、毛茸茸的哺乳动物，生活在撒哈拉以南的非洲地区和沿阿拉伯半岛的海岸。</p>
<p><img src="http://pic.biodiscover.com/uploads/0f28b5d49b3020afeecd95b4009adf4c/article/biodiscover_7691e3123f1dcfa141.jpg" alt="岩蹄兔" /></p>
<p>岩蹄兔</p>
<p>3）非洲大象是地球上最大的陆生哺乳动物，并且雌性非洲象承受着所有生物中最长的孕期，通常要历时22个月。</p>
<p>4）尽管体型巨大，但是它们也很惧怕一些很小的动物。一项研究表明，它们会避开食用一种金合欢树，因为那是蚂蚁的家。尽管大象一脚就可以将这些蚂蚁踩得粉碎，但是大象很害怕蚂蚁会爬进它们的象鼻里，因为象鼻里充满了敏感的神经末梢。</p>
<p>5）大象不喜欢花生。它们在野外就算饿死也不会吃花生，而动物园也不会给所饲养大象喂食花生。</p>
<p>6）母象通常是15只一群，都是与“女族长”有亲戚关系且受其领导的，而“女族长”通常是这其中年纪最长的，它将决定所有成员一年365天的所有的行踪。</p>
<p>7）公象通常选择在12~15岁时离开母象群，但是他们并不孤独——它们可以加入公象群。在干旱时节，这些公象会形成一个等级森严的领导层以免受伤害以及竞争到更多的水。</p>
<p>8）亚洲象不会奔跑。因为奔跑时需要所有四只脚一起离地，但是生活在泰国的亚洲象通常至少要保持两只脚在地面上。</p>
<p>9）非洲象能通过其感官细胞检测出地震信号。地面震动先是从其前脚掌传至大腿及肩骨处，再传入中耳，最终使得大象能够“听出”地震。通过比较其各个前脚掌所接受信号的强弱，大象可以判断出这些声音的方向。</p>
<p>10）和人类婴儿、大猩猩、喜鹊及海豚一样，大象也通过了镜子测试，即它们在镜子中认出了自己。</p>
<p>11)大象也有可能被太阳晒伤，所以它们会很小心的保护自己。“大象会往它们后背及头部撒些沙子，这么做的目的一个是为了避免被太阳灼伤，另一个是为了免受寄生虫困扰。” 大象众议院和史密森国家动物园猎豹保护站的馆长Tony Barthel说。为了保护它们的后代，成年象会将他们的宝宝浸在沙土中，并且在它们睡觉时在旁边守护着。</p>
<p>12）一项最新研究证实，之前流传的关于非洲象因食用发酵过的马鲁拉树果实而“喝醉”的故事并不属实。大象不吃掉在地上的发酵水果，它们只吃新鲜的水果，而新鲜的水果不可能在其消化道内停留那么长时间来发酵，而且即使大象真的吃了发酵了的水果，那也要吃满1400个才能让它们“喝醉”。</p>
<p>13）目前有研究证实，大象已经进化出了第6根脚趾。这根脚趾始于软骨组织，与大象的大拇趾连在一起，但是会随着年龄的增长而逐渐转变成骨头。</p>
<p>14）肯尼亚的一些农民通过在边界处放置蜂箱来避免大象入侵他们的领土，这样不仅保护了庄稼，还使农民们获得了一笔额外的收入——蜂蜜。</p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>找生物2012开篇</title>
		<link>http://www.91bio.com/2012-begins-to-find-biological/</link>
		<comments>http://www.91bio.com/2012-begins-to-find-biological/#comments</comments>
		<pubDate>Fri, 06 Jan 2012 02:10:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[杂谈]]></category>
		<category><![CDATA[找生物]]></category>
		<category><![CDATA[生物技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645727</guid>
		<description><![CDATA[迎来2012年已经是第6天了，找生物期间一直未更新，本篇作为2012年的开篇作，已经是姗姗来迟，也可能在冥冥之中奠定了找生物2012年的基调，上次的总结中也提到2012年要迎接我家宝宝的降生，找生物的更新实在是不能保证，对于宝宝找生物也专门给他（她）开了一个专门的博客（yiteng.name),主要想记录一下成长过程中的喜怒哀乐，作为宝宝的第一个礼物，也会写一些关于育儿方面的东西，但找生物这边还是以分享有趣、实用的生物资源为主。 关于博客的总结在上篇已经提到，但未曾考虑反思找生物以后的发展目标，再次做下简单补充： 1 关于文章： 这些文章中（包括找生物的所有文章）多为转载，找生物有甄别的筛选出的网络文章，原创的内容不多，特别是生物有趣、生物技巧方面的找生物主打分类均是从网络摘抄，本类的话题确实不能是一个人能够完成的，找生物本人也没有此类的水平，需要更多的人参与讨论、分享，找生物也开通了投稿栏目，但至今没有一篇文章投递。归其原因是找生物网的名气确实太小，无人关注；二是博客形式的网站对讨论什么的不是很有利，这也是找生物有开通了找生物吧的一点尝试，希望能有更多的网友参与讨论和分享。 2 关于原创： 纵观找生物的文章，原创最多的分类也就是生物软件方面，找生物介绍了一系列的安卓方面的应用，并尝试着进行了应用汉化，但最近一直都没有更新，毕竟生物学方面的应用比较少，对于汉化需要太多的精力，再者如果是搞生物学的有无汉化影响也不是很大。还有点伪原创的文章多是找生物翻译的国外网站的有关生物技巧方面的文章，这点找生物也没有坚持做太多，主要还是精力方面的，想想还是恳切需要团队合作，呵呵。 3 关于互动： 还是回到了这个话题，从找生物的注册人数来看也有138人了，诚然这中间有不少垃圾的注册，也有注册为投稿者的16人，对于评论找生物允许匿名评论的，后来又尝试用评论啦的评论系统，可以采用多种账号登录评论，但评论者还是寥寥，起先也有不少的朋友过来看看，留下脚印，但多是平时走访的博客朋友，真正的生物人士基本没有。是否是找生物做这样的博客太矫情了，还是学生物的根本就不了解WordPress这个东东？其实想想身边的同事、朋友多了解的还是论坛，也只是知道去论坛下载资料，真正能够融于其中参与讨论的寥寥，是找生物自寻烦恼了，但也希望以后能好！ 4 关于搜索引擎： 找生物网最近是一点不得度娘的待见，快照还是去年12月份的，收录量也在去年的某月某日开始下滑，搜索来源过去一年百度来源有800多个（15.58%），而谷歌有4000多个（78.47%）。找生物不是专门搞SEO的，对此也不是很在乎。也有可能找生物最近的更换皮肤、更换关键词、调整分类目录的原因，还有个就是91bio.com的收录到时比较及时正常，呵呵，不太懂，还望有知道的朋友指导下！ 5 关于关键词： 找生物的关键词都属于小众，毫无百度指数，虽然现在生物技巧、有趣生物等都已经是在百度的首页第一个关键词，但用户搜索此类的关键词毕竟是少数，搜索较多的还是关于生物实验方面的东西，这个确恰恰是找生物的弱项，找生物的本意不想做一个堆积实验方法protocol的网站，这方面的网站已经很多了，做的也很全了。 6 关于分享： 找生物的主旨是分享，但界定为有趣、实用的生物资源，也就是说对于分享的资源均是有价值的，不做无意义的堆积，以后找生物也会坚持此原则，但会增加相应的分类，从找生物新添加的生物工具等分类也能看出，以后会分享一下精品的在线工具、生物软件等等。]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.91bio.com/wp-content/uploads/2012/01/950x150_27544400.jpg"><img class="aligncenter size-full wp-image-645728" title="950x150_27544400" src="http://www.91bio.com/wp-content/uploads/2012/01/950x150_27544400.jpg" alt="" width="692" height="120" /></a><br />
迎来2012年已经是第6天了，找生物期间一直未更新，本篇作为2012年的开篇作，已经是姗姗来迟，也可能在冥冥之中奠定了找生物2012年的基调，上次的总结中也提到2012年要迎接我家宝宝的降生，找生物的更新实在是不能保证，对于宝宝找生物也专门给他（她）开了一个专门的博客（<a title="yiteng" href="http://yiteng.name" target="_blank">yiteng.name</a>),主要想记录一下成长过程中的喜怒哀乐，作为宝宝的第一个礼物，也会写一些关于育儿方面的东西，但找生物这边还是以分享有趣、实用的生物资源为主。<br />
关于博客的总结在上篇已经提到，但未曾考虑反思找生物以后的发展目标，再次做下简单补充：<br />
1 关于文章：<br />
这些文章中（包括找生物的所有文章）多为转载，找生物有甄别的筛选出的网络文章，原创的内容不多，特别是生物有趣、生物技巧方面的找生物主打分类均是从网络摘抄，本类的话题确实不能是一个人能够完成的，找生物本人也没有此类的水平，需要更多的人参与讨论、分享，找生物也开通了投稿栏目，但至今没有一篇文章投递。归其原因是找生物网的名气确实太小，无人关注；二是博客形式的网站对讨论什么的不是很有利，这也是找生物有开通了<a title="找生物吧" href="http://bbs.91bio.com" target="_blank">找生物吧</a>的一点尝试，希望能有更多的网友参与讨论和分享。<br />
2 关于原创：<br />
纵观找生物的文章，原创最多的分类也就是生物软件方面，找生物介绍了一系列的安卓方面的应用，并尝试着进行了应用汉化，但最近一直都没有更新，毕竟生物学方面的应用比较少，对于汉化需要太多的精力，再者如果是搞生物学的有无汉化影响也不是很大。还有点伪原创的文章多是找生物翻译的国外网站的有关生物技巧方面的文章，这点找生物也没有坚持做太多，主要还是精力方面的，想想还是恳切需要团队合作，呵呵。<br />
3 关于互动：<br />
还是回到了这个话题，从找生物的注册人数来看也有138人了，诚然这中间有不少垃圾的注册，也有注册为投稿者的16人，对于评论找生物允许匿名评论的，后来又尝试用评论啦的评论系统，可以采用多种账号登录评论，但评论者还是寥寥，起先也有不少的朋友过来看看，留下脚印，但多是平时走访的博客朋友，真正的生物人士基本没有。是否是找生物做这样的博客太矫情了，还是学生物的根本就不了解WordPress这个东东？其实想想身边的同事、朋友多了解的还是论坛，也只是知道去论坛下载资料，真正能够融于其中参与讨论的寥寥，是找生物自寻烦恼了，但也希望以后能好！<br />
4 关于搜索引擎：<br />
找生物网最近是一点不得度娘的待见，快照还是去年12月份的，收录量也在去年的某月某日开始下滑，搜索来源过去一年百度来源有800多个（15.58%），而谷歌有4000多个（78.47%）。找生物不是专门搞SEO的，对此也不是很在乎。也有可能找生物最近的更换皮肤、更换关键词、调整分类目录的原因，还有个就是91bio.com的收录到时比较及时正常，呵呵，不太懂，还望有知道的朋友指导下！<br />
5 关于关键词：<br />
找生物的关键词都属于小众，毫无百度指数，虽然现在生物技巧、有趣生物等都已经是在百度的首页第一个关键词，但用户搜索此类的关键词毕竟是少数，搜索较多的还是关于生物实验方面的东西，这个确恰恰是找生物的弱项，找生物的本意不想做一个堆积实验方法protocol的网站，这方面的网站已经很多了，做的也很全了。<br />
6 关于分享：<br />
找生物的主旨是分享，但界定为有趣、实用的生物资源，也就是说对于分享的资源均是有价值的，不做无意义的堆积，以后找生物也会坚持此原则，但会增加相应的分类，从找生物新添加的生物工具等分类也能看出，以后会分享一下精品的在线工具、生物软件等等。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/2012-begins-to-find-biological/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>实验记录开启云时代</title>
		<link>http://www.91bio.com/experimental-records-on-the-cloud-era/</link>
		<comments>http://www.91bio.com/experimental-records-on-the-cloud-era/#comments</comments>
		<pubDate>Sat, 31 Dec 2011 03:25:32 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物实验]]></category>
		<category><![CDATA[生物工具]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645724</guid>
		<description><![CDATA[Everlab-note 1.0.1 beta版是一个在线版的实验记录版本，新版本已于12月30日上线，这个工具由以前介绍过的E3-lab的同一家公司开发，在线版本注册申请地址为：http://www.everlab.net 其更新的功能为 1：解决导出word时样式丢失问题， 2：导出word时增加导出实验人、材料等信息， 3：任务领取后变为已领取， 4：将附件中的图标区分文件类型， 5：在注册页面增加已注册邮箱重新发送确认邮件的功能， 6：增加打印时可以选择打印内容的功能， 7：统一系统内所有标签样式， 8：历史回放增加显示版本数量及版本号， 9：增加在线QQ，增加用户与产品之间的互动， 10：增加密码强度识别功能。 找生物网也进行了简单的试用测评，如下上图说明 1. 首页 首页简洁、清新，就有两个主要的图标：实验记录和实验方法，其中实验方法栏目还没有开通，主要对实验记录部分进行了试用！ 2 实验记录栏目 进入后，可以看到实验记录本下面有“我的记录本”、“实验模板”、“实验材料”、“回收站”栏目，每个栏目下可以新建记录、模板、材料等，已经对已有记录进行管理，实验模板和实验材料可以自定义操作，整理好后，可以大大节省以后的记录工作量。 这个为新建模板界面，编辑器的功能不算是很丰富，但能满足日常的需要，并能够上传附件保存。 3 个人资料 个人资料功能界面，包括基本的个人信息设置、任务设置及相关的勋章管理，目前功能还比较少，可能随着版本的升级其功能会不断完善。 EverLab-protocol将于2012年1月15日正式上线，参加平台活动更有Itouch4等您拿。 一、成功邀请好友，itouch4送到您家！ 活动日期：2011年12月16日至2012年3月31日 活动细则：凡于2011年12月16日至2012年3月31日期间发送邀请码且该邀请码成功注册的用户即可参加抽奖活动，库巴扎公司将于2012年4月2日抽出4名幸运用户，奖品为Itouch4 一部。 礼品派送：公司将于2012年4月3日，在EverLab平台公布上月获奖用户名单，并通过E-mail与您联系，礼品以快递方式送达。 二、捉虫大赛，等您参加！ 活动日期：2011年12月19日至2012年1月15日 活动细则：凡于2011年12月19日至2012年1月15日期间用户提交EverLab 的bug，并得到验证的，库巴扎公司将于1月17日抽取4名幸运者，送每位幸运用户16G U盘一个。 Bug 提交可以通过 support@cobazaar.com 邮箱提交，或在搜狐微博、新浪微博发布#everlab捉虫大赛#。我们将随时收集。 礼品派送：公司将于2012年1月17日，在EverLab平台公布上月获奖用户名单，并通过E-mail与您联系，礼品以快递方式送达。 三、共享protocol，赢取Itouch大礼！ 活动日期：2012年1月15日至2012年3月15日 活动细则：EverLab用户在2012年1月15日至2012年3月15日期间上传并分享protocol模板，其模板在EverLab平台上被其他用户收藏最多；评分最高；浏览最多，只要满足其中任何一个条件，就可获得Itouch4 8G（一台）。 礼品派送：获奖者名单将于3月16日，在Everlab平台及Everlab官方微博上公布，同时我们将通过您注册时留下的E-mail与您联系。我们将于收到您的地址后的第二个工作日，将礼品以快递方式寄出。]]></description>
			<content:encoded><![CDATA[<p>Everlab-note 1.0.1 beta版是一个在线版的实验记录版本，新版本已于12月30日上线，这个工具由以前介绍过的E3-lab的同一家公司开发，在线版本注册申请地址为：<a href="http://note.everlab.net/Register/eaabb8b5-6c63-4d14-85bd-a1d81a120f3b">http://www.everlab.net</a></p>
<p>其更新的功能为</p>
<p>1：解决导出w<wbr>ord时样式丢失问题，<br />
2：导出word时增加导出实验人、</wbr><wbr>材料等信息，<br />
3：任务领取后变为已领取，<br />
4：</wbr><wbr>将附件中的图标区分文件类型，<br />
5：</wbr><wbr>在注册页面增加已注册邮箱重新发送确认邮件的功能，<br />
6：</wbr><wbr>增加打印时可以选择打印内容的功能，<br />
7：</wbr><wbr>统一系统内所有标签样式，<br />
8：</wbr><wbr>历史回放增加显示版本数量及版本号，<br />
9：增加在线QQ，</wbr><wbr>增加用户与产品之间的互动，<br />
10：增加密码强度识别功能。</wbr></p>
<p>找生物网也进行了简单的试用测评，如下上图说明</p>
<p>1. 首页</p>
<p style="text-align: center;"><img class="aligncenter" title="首页" src="http://fs0.139js.com/file/DaJo9.jpg" alt="" width="527" height="356" /></p>
<p>首页简洁、清新，就有两个主要的图标：实验记录和实验方法，其中实验方法栏目还没有开通，主要对实验记录部分进行了试用！</p>
<p>2 实验记录栏目</p>
<p style="text-align: center;"><img class="aligncenter" title="记录" src="http://fs0.139js.com/file/xaJo9.jpg" alt="" width="587" height="315" /></p>
<p style="text-align: left;">进入后，可以看到实验记录本下面有“我的记录本”、“实验模板”、“实验材料”、“回收站”栏目，每个栏目下可以新建记录、模板、材料等，已经对已有记录进行管理，实验模板和实验材料可以自定义操作，整理好后，可以大大节省以后的记录工作量。</p>
<p style="text-align: center;"><img title="新建" src="http://fs0.139js.com/file/lnJo9.jpg" alt="" width="682" height="313" /></p>
<p style="text-align: left;">这个为新建模板界面，编辑器的功能不算是很丰富，但能满足日常的需要，并能够上传附件保存。</p>
<p style="text-align: left;">3 个人资料</p>
<p style="text-align: center;"><img class="aligncenter" title="资料" src="http://fs0.139js.com/file/rnJo9.jpg" alt="" width="586" height="311" /></p>
<p style="text-align: left;">个人资料功能界面，包括基本的个人信息设置、任务设置及相关的勋章管理，目前功能还比较少，可能随着版本的升级其功能会不断完善。</p>
<p align="left">EverLab-protocol将于2012年1月15日正式<wbr>上线，参加平台活动更有Itouch4等您拿。</wbr></p>
<p align="left">一、成功邀请好友，itouch4送到您家！</p>
<p align="left"><strong>活动日期：2011年12月16日至2012年3月31日</strong><br />
活动细则：凡于2011年12月16日至2012年3月31日期<wbr>间发送邀请码且该邀请码成功注册的用户即可参加抽奖活动，</wbr><wbr>库巴扎公司将于2012年4月2日抽出4名幸运用户，奖品为It</wbr><wbr>ouch4 一部。<br />
礼品派送：公司将于2012年4月3日，在EverLab平台公</wbr><wbr>布上月获奖用户名单，并通过E-mail与您联系，</wbr><wbr>礼品以快递方式送达。</wbr></p>
<p align="left">二、捉虫大赛，等您参加！</p>
<p align="left"><strong>活动日期：2011年12月19日至2012年1月15日</strong><br />
活动细则：凡于2011年12月19日至2012年1月15日期<wbr>间用户提交EverLab 的bug，并得到验证的，库巴扎公司将于1月17日抽取4名幸运</wbr><wbr>者，送每位幸运用户16G U盘一个。<br />
Bug 提交可以通过 <a href="mailto:support@cobazaar.com" target="_blank">support@cobazaar.com</a> 邮箱提交，或在搜狐微博、新浪微博发布#everlab捉虫大赛</wbr><wbr>#。我们将随时收集。<br />
礼品派送：公司将于2012年1月17日，在EverLab平台</wbr><wbr>公布上月获奖用户名单，并通过E-mail与您联系，</wbr><wbr>礼品以快递方式送达。</wbr></p>
<p align="left">三、共享protocol，赢取Itouch大礼！</p>
<p align="left"><strong>活动日期：2012年1月15日至2012年3月15日</strong></p>
<p align="left">活动细则：EverLab用户在2012年1月15日至2012<wbr>年3月15日期间上传并分享protocol模板，其模板在Ev</wbr><wbr>erLab平台上被其他用户收藏最多；评分最高；浏览最多，</wbr><wbr>只要满足其中任何一个条件，就可获得Itouch4 8G（一台）。</wbr></p>
<p align="left">礼品派送：获奖者名单将于3月16日，在Everlab平台及E<wbr>verlab官方微博上公布，同时我们将通过您注册时留下的E-</wbr><wbr>mail与您联系。我们将于收到您的地址后的第二个工作日，</wbr><wbr>将礼品以快递方式寄出。</wbr></p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/experimental-records-on-the-cloud-era/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>爆笑讨论试剂分类</title>
		<link>http://www.91bio.com/tell-you-how-classification-reagents/</link>
		<comments>http://www.91bio.com/tell-you-how-classification-reagents/#comments</comments>
		<pubDate>Thu, 29 Dec 2011 08:13:32 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645714</guid>
		<description><![CDATA[这是一个来自某实验室的对话，切勿对号入座哦。 刘 ：集思广益一则 无机盐药品柜由于乱放导致药品不好找，大家想个办法来排下序~ 高 ：按元素周期表元素顺序…… 木 ：按阳离子排序？ 每次用完放回原位置 李 ：按口味&#8230;&#8230;. 黄 ：这个狠啊 刘 ：提供一个具体的数据 木 ：赞成 咱们再扯 刘大总管该不高兴了 赶紧来正经的 黄 ：根据名称按照英文首字母的顺序排列，如何？ 徐 ：按照用途吧，氧化剂，还原剂，干燥剂；然后是具体的反应类型 木 ：太复杂 聂 ：天干地支 排序 进来的时候 记录在册 黄 ：这个imba啊 木 ：生辰八字吧 聂 ：星座得了]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="discus" src="http://www.zxxjs.net/article/uploadfile/200702/200724153318240.jpg" alt="" width="274" height="268" /></p>
<p>这是一个来自某实验室的对话，切勿对号入座哦。</p>
<p>刘 ：集思广益一则 无机盐药品柜由于乱放导致药品不好找，大家想个办法来排下序~</p>
<p>高 ：按元素周期表元素顺序……</p>
<p>木 ：按阳离子排序？ 每次用完放回原位置</p>
<p>李 ：按口味&#8230;&#8230;.</p>
<p>黄 ：这个狠啊</p>
<p>刘 ：提供一个具体的数据</p>
<p>木 ：赞成<br />
咱们再扯 刘大总管该不高兴了<br />
赶紧来正经的</p>
<p>黄 ：根据名称按照英文首字母的顺序排列，如何？</p>
<p>徐 ：按照用途吧，氧化剂，还原剂，干燥剂；然后是具体的反应类型</p>
<p>木 ：太复杂</p>
<p>聂 ：天干地支 排序<br />
进来的时候 记录在册</p>
<p>黄 ：这个imba啊</p>
<p>木 ：生辰八字吧</p>
<p>聂 ：星座得了</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/tell-you-how-classification-reagents/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>找生物的2011</title>
		<link>http://www.91bio.com/2011-to-find-biological/</link>
		<comments>http://www.91bio.com/2011-to-find-biological/#comments</comments>
		<pubDate>Wed, 28 Dec 2011 14:02:59 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[杂谈]]></category>
		<category><![CDATA[找生物]]></category>
		<category><![CDATA[生物技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645712</guid>
		<description><![CDATA[今天已经是2011年的12月18日晚21点28分，再过几天就要迎来2012年的钟声，找生物网于2011年11月18就已经迎来了1周岁的生日，早就应有的周年总结现在才迟迟启笔。还有早就看到了拿福能的“新语心愿”活动了，这篇也算赶个末班车吧，如果您也是跟找生物一样迟迟未动笔，可以去拿福能页面页面： http://www.nuffnang.com.cn/blog/2011/12/06/new-year-blog-contest/了解下。 在过去的一年中找生物共分享269篇文章，这期间有激情、彷徨、迷茫、坚持…… 但也一步一步的走了过来，共更换了两个模板，起先使用的wp-cms的模板，因原模板是半成品，几经修改，找生物从中也学习到了不少的知识，对于WordPress算是踏进了一只脚。无奈折腾本性不改，跟风更换了现在的模板，不得不说现在的模板作者鸟哥很牛，主题很美观，就是雷同的太多了，但也短时间内不打算更换了。 好了，还是说说最近找生物的情况吧： 1 最近找生物对于小博的更改比较频繁，把原来的cms样式更换为博客样式，对于咱的小博更新频率不高，实在是没有必要使用cms，再者首页内容太多，有点炫目抓不住重点。 2 对于找生物的分类重新进行了调整，一年来也在一直思索找生物的特色，最终还是决定做分享有趣、实用的生物资源！把跟主题关系不紧密的分类删除，增加了“生物工具”一类，同时找生物翻译了“DNA和蛋白质序列在线处理工具SMS2，放在了生物工具项目下，有兴趣可移步http://www.91bio.com/tool浏览。以后也会多分享一些在线的生物工具、生物软件之类的。 3 增加了“找生物吧”的版块，这个是一个小型的论坛，也知道可能没有多少人去交流，就是个折腾，尝尝新玩意。也欢迎大家前去捧场http://www.91bio.com/bbs. 记录下2011年的流水账 1折腾版： 1.1 在2011年找生物除了折腾找生物网外，还用WordPress搭建了网址分享站-网生物（http://web.91bio.com)，采用的一个比较牛的导航类主题，旨在分享实用的生物学网址，为科研助航！ 1.2 搭建了一个文献搜索网站，比较简单，找生物自己都没有怎么用过，就让他静静的躺尸吧。 1.3 用WordPress搭建了宝宝的成长博客，伊藤http://yiteng.name，主要记录宝宝的成长经历，由爱人贝贝主笔。 2 生活篇： 2011年对于我们家是非常有纪念意义的一年，找生物结束了单身步入了结婚的殿堂，随后有我的妹妹、二叔家的两个堂妹、二姨家的表妹都也已成家立业。亦是次年贝贝怀上了宝贝藤藤，将于明年的3月份降生。 此外能够记得的就是报考了驾照，刚考试完科目一，什么时候拿到驾照不得而知了；再就是体重轻松的突破了160斤，减不减肥是个问题。 3 工作篇： 要有忧患意识，为了宝宝要努力啊！加薪抵不过CPI，思考思考！ 展望 希望我的宝宝能够健康顺利的降临于这个世界上，以后的日子有了宝宝，不知道能不能及时的更新找生物了，在很早以前就希望能有人共同经营找生物，如果您有意，可以跟我联系，或者移步到此留言。 找生物的新年愿望：想要一个《红与黑》的笔记本，链接在这http://www.geekcook.net/?p=2178，就像贝贝说的我是个笔记本控。 _____________________________________________________________________________ 更新：找生物已经收到了寄来的笔记本了，很漂亮，很喜欢，改天把东东给大家分享下！]]></description>
			<content:encoded><![CDATA[<p>今天已经是2011年的12月18日晚21点28分，再过几天就要迎来2012年的钟声，找生物网于2011年11月18就已经迎来了1周岁的生日，早就应有的周年总结现在才迟迟启笔。还有早就看到了拿福能的“新语心愿”活动了，这篇也算赶个末班车吧，如果您也是跟找生物一样迟迟未动笔，可以去拿福能页面页面： <a href="http://www.nuffnang.com.cn/blog/2011/12/06/new-year-blog-contest/">http://www.nuffnang.com.cn/blog/2011/12/06/new-year-blog-contest/</a>了解下。</p>
<p>在过去的一年中找生物共分享269篇文章，这期间有激情、彷徨、迷茫、坚持……</p>
<p>但也一步一步的走了过来，共更换了两个模板，起先使用的wp-cms的模板，因原模板是半成品，几经修改，找生物从中也学习到了不少的知识，对于WordPress算是踏进了一只脚。无奈折腾本性不改，跟风更换了现在的模板，不得不说现在的模板作者鸟哥很牛，主题很美观，就是雷同的太多了，但也短时间内不打算更换了。</p>
<p>好了，还是说说最近找生物的情况吧：</p>
<p>1 最近找生物对于小博的更改比较频繁，把原来的cms样式更换为博客样式，对于咱的小博更新频率不高，实在是没有必要使用cms，再者首页内容太多，有点炫目抓不住重点。</p>
<p>2 对于找生物的分类重新进行了调整，一年来也在一直思索找生物的特色，最终还是决定做分享有趣、实用的生物资源！把跟主题关系不紧密的分类删除，增加了“生物工具”一类，同时找生物翻译了“DNA和蛋白质序列在线处理工具SMS2，放在了生物工具项目下，有兴趣可移步<a title="sms" href="http://www.91bio.com/tool" target="_blank">http://www.91bio.com/tool</a>浏览。以后也会多分享一些在线的生物工具、生物软件之类的。</p>
<p>3 增加了“找生物吧”的版块，这个是一个小型的论坛，也知道可能没有多少人去交流，就是个折腾，尝尝新玩意。也欢迎大家前去捧场<a href="http://www.91bio.com/bbs" target="_blank">http://www.91bio.com/bbs</a>.</p>
<p>记录下2011年的流水账</p>
<p>1折腾版：</p>
<p>1.1 在2011年找生物除了折腾找生物网外，还用WordPress搭建了网址分享站-网生物（<a title="网生物" href="http://web.91bio.com" target="_blank">http://web.91bio.com</a>)，采用的一个比较牛的导航类主题，旨在分享实用的生物学网址，为科研助航！</p>
<p>1.2 搭建了一个文献搜索网站，比较简单，找生物自己都没有怎么用过，就让他静静的躺尸吧。</p>
<p>1.3 用WordPress搭建了宝宝的成长博客，伊藤<a title="伊藤" href="http://yiteng.name" target="_blank">http://yiteng.name</a>，主要记录宝宝的成长经历，由爱人贝贝主笔。</p>
<p>2 生活篇：</p>
<p>2011年对于我们家是非常有纪念意义的一年，找生物结束了单身步入了结婚的殿堂，随后有我的妹妹、二叔家的两个堂妹、二姨家的表妹都也已成家立业。亦是次年贝贝怀上了宝贝藤藤，将于明年的3月份降生。</p>
<p>此外能够记得的就是报考了驾照，刚考试完科目一，什么时候拿到驾照不得而知了；再就是体重轻松的突破了160斤，减不减肥是个问题。</p>
<p>3 工作篇：</p>
<p>要有忧患意识，为了宝宝要努力啊！加薪抵不过CPI，思考思考！</p>
<p>展望</p>
<p>希望我的宝宝能够健康顺利的降临于这个世界上，以后的日子有了宝宝，不知道能不能及时的更新找生物了，在很早以前就希望能有人共同经营找生物，如果您有意，可以跟我联系，或者移步<a title="找生物协作人员招募说明" href="http://www.91bio.com/biological-description-of-looking-for-the-recruitment-of-collaborators/">到此留言</a>。</p>
<p>找生物的新年愿望：想要一个《红与黑》的笔记本，链接在这<a href="http://www.geekcook.net/?p=2178" target="_blank">http://www.geekcook.net/?p=2178</a>，就像贝贝说的我是个笔记本控。</p>
<p><img class="aligncenter" title="笔记本" src="http://www.geekcook.net/wordpress/wordpress/wp-content/uploads/2011/05/noteBookRBA.jpg" alt="" width="234" height="234" /></p>
<p>_____________________________________________________________________________</p>
<p>更新：找生物已经收到了寄来的笔记本了，很漂亮，很喜欢，改天把东东给大家分享下！</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/2011-to-find-biological/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>生物学在线工具汇总</title>
		<link>http://www.91bio.com/645-705/</link>
		<comments>http://www.91bio.com/645-705/#comments</comments>
		<pubDate>Wed, 28 Dec 2011 00:44:45 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[生物工具]]></category>
		<category><![CDATA[在线工具]]></category>
		<category><![CDATA[生物信息学]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645705</guid>
		<description><![CDATA[找生物分享有趣、使用生物资源，分享下不知哪位牛人整理的常用生物软件，罗列如下（均为在线工具），很是方便。 Search a sequence database Sequence comparison BLAST (results with links Databases : D, Entrez : E, Related Sequences : R, SRS : S, Prosite : P) NCBI [E] Databases : NR, Month, SwissProt, Dbest, DBSTS, PDB, Vector, Kabat, Mito, Alu, EpD, Yeast ProtEST -Protein matches for ESTs (BLASTX with -e 1e-6) NCBI BCM Proteins, [...]]]></description>
			<content:encoded><![CDATA[<p>找生物分享有趣、使用生物资源，分享下不知哪位牛人整理的常用生物软件，罗列如下（均为在线工具），很是方便。</p>
<p>Search a sequence database</p>
<ul type="disc">
<li>Sequence comparison</li>
</ul>
<ul type="circle">
<li>BLAST (results with links Databases : D, Entrez : E, Related Sequences : R, SRS : S, Prosite : P)</li>
</ul>
<ul type="disc">
<li><a href="http://www.ncbi.nlm.nih.gov/BLAST/">NCBI</a> [E]<br />
Databases : NR, Month, SwissProt, Dbest, DBSTS, PDB, Vector, Kabat, Mito, Alu, EpD, Yeast</li>
<li>ProtEST -Protein matches for ESTs (BLASTX with -e 1e-6) <a href="http://www.ncbi.nlm.nih.gov/UniGene/ProtEST/">NCBI</a></li>
<li>BCM <a href="http://searchlauncher.bcm.tmc.edu/seq-search/protein-search.html">Proteins</a>, <a href="http://searchlauncher.bcm.tmc.edu/seq-search/nucleic_acid-search.html">nucleic acids</a> [D, E, R, S]</li>
<li>Expasy : blast at <a href="http://www.expasy.org/cgi-bin/BLAST.pl">NCBI</a> [D] with extra : analyse and align all HSPs</li>
<li><a href="http://grup.cribi.unipd.it/bioinformatics/tools/">IBB</a> (Padoue)</li>
<li><a href="http://www2.igh.cnrs.fr/bin/blast-guess.cgi">IGHM</a> (French) [D]<br />
Databases : NR, Month, SwissProt, Dbest, DBSTS, GBxxx, PDB, Vector, Kabat, NRSub, Transfac &#8230;</li>
<li><a href="http://bips.u-strasbg.fr/PipeAlign/jump_to.cgi?Ballast+noid">Strasbourg</a> (Ballast : explore the depths of Blast searches) (French)</li>
<li><a href="http://www.dkfz-heidelberg.de/tbi_old/services/dbs/blform">TBI</a> (Germany) [E, P]</li>
<li><a href="http://genopole.toulouse.inra.fr/blast/blast.html">Toulouse</a> (French)</li>
<li>Organism-Specific Blast <a href="http://www.ncbi.nih.gov/Genomes/">NCBI</a>, another <a href="http://0-www.ncbi.nlm.nih.gov.csulib.ctstateu.edu/BLAST/">link</a></li>
<li>Search of Anopheles gambiae <a href="http://www.ncbi.nlm.nih.gov/BLAST/Genome/Insects.html">NCBI</a> (USA)</li>
<li>Search of Aspergillus nidulans <a href="http://www.genome.ou.edu/asper_blast.html">Oklahoma</a> (USA)</li>
<li>Search of Complete Genomes (E.C, S.C, M.J, M.G, B.S) <a href="http://bmerc-www.bu.edu/bioinformatics/blast_server.shtml">BMERC</a> (Blastp, Blastx) (USA)</li>
<li>Search of CDD (Conserved Domain Database : rpsblast) <a href="http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi">NCBI</a> (USA), see also <a href="http://genopole.toulouse.inra.fr/blast/rpsblast.html">Toulouse</a> (French)</li>
<li>Search of Dictyostelium (blastn) : <a href="http://www.csm.biol.tsukuba.ac.jp/cDNA/database.html">Tsukuba</a> (Japan), see also <a href="http://genome.imb-jena.de/cgi-bin/dicty/BlastDicty.cgi">Jena</a></li>
<li>Search of Drosophila : <a href="http://flybase.net/blast/">BDGP</a> (Berkeley) [E]</li>
<li>Search of EST (Human, Drosophila, Mouse, EMBLEsT..) <a href="http://woody.embl-heidelberg.de/gene2est/">EMBL</a> (Germany)</li>
<li>Search of E. Coli : <a href="http://genolist.pasteur.fr/Colibri/">Pasteur</a> (French)</li>
<li>Search of E. Coli : <a href="http://colibase.bham.ac.uk/blast/">Birmingham</a> (UK)</li>
<li>Search of ESTHER (cholinesterase) <a href="http://bioweb.ensam.inra.fr/ESTHER/general?what=blast">INRA</a> (French)</li>
<li>Search of Fugu <a href="http://0-www.ncbi.nlm.nih.gov.csulib.ctstateu.edu/BLAST/Genome/fugu.html">NCBI</a> (USA)</li>
<li>Search of HIV-1 (subtyping) <a href="http://www.ncbi.nih.gov/projects/genotyping/alignpage.cgi">NCBI</a> (USA)</li>
<li>Search of Human <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/hgp">Sanger</a> (UK), see also <a href="http://www.ncbi.nih.gov/genome/seq/BlastGen/BlastGen.cgi?taxid=9606">NCBI</a> (USA)</li>
<li>Search of Human <a href="http://mips2.gsf.de/proj/dbest/blast/human_blast.html">MIPS</a> (blastn), see alos <a href="http://mips2.gsf.de/proj/cDNA/blast_search.html">cDNA</a>, see also <a href="http://mips2.gsf.de/proj/dbest/blast/hsest_blast.html">EST</a> (Germany)</li>
<li>Search of Human <a href="http://genome.ucsc.edu/cgi-bin/hgBlat?db=hg7">UCSC</a> (USA) (BLAT, not Blast)</li>
<li>Search of Human Repeat <a href="http://www.genome.ou.edu/alu_blast.html">Oklahoma</a> (USA)</li>
<li>Search of “Kegg genome” <a href="http://www.genome.jp/kegg-bin/SearchGenes?blast+genome">Kyoto</a> (Japan)</li>
<li>Search of Immunoglobulins <a href="http://www.ncbi.nlm.nih.gov/igblast/">NCBI</a> (USA)</li>
<li>Search of microbial genomes <a href="http://0-www.ncbi.nlm.nih.gov.csulib.ctstateu.edu/sutils/genom_table.cgi">NCBI</a> (USA)</li>
<li>Multiple Custom Databases (P.falciparum, P.vivax, P.berghei, P. chabaudi, EST) <a href="http://www.ncbi.nlm.nih.gov/sutils/blast_table.cgi?taxid=Protozoa&amp;database=36329">NCBI</a> (USA)</li>
<li>Search of Neisseria gonorrhoeae <a href="http://www.genome.ou.edu/gono_blast.html">Oklahoma</a> (USA)</li>
<li>Search of P450, UGT, cytochrome b5 <a href="http://www.p450.kvl.dk/blast.html">Biobase</a> (Denmark)</li>
<li>Search of Plant knockout databases <a href="http://plantgenome.sdsc.edu/dw_ko_blast.html">SDSC</a> (USA)</li>
<li>Search of P. falciparum <a href="http://www.ncbi.nlm.nih.gov/Malaria/plasmodiumbl.html">NCBI</a></li>
<li>Search of protein Databank <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_blast.html">PBIL</a> (French) [S]</li>
<li>Search of Streptococcus pyogenes <a href="http://www.genome.ou.edu/strep_blast.html">Oklahoma</a> (USA)</li>
<li>Search of UTR <a href="http://www.ba.itb.cnr.it/BIG/Blast/BlastUTR.html">Bari</a> (Italy)</li>
<li>Search of Zebra fish <a href="http://www.ncbi.nlm.nih.gov/genome/seq/BlastGen/BlastGen.cgi?taxid=7955">NCBI</a> (USA)</li>
<li>Species-Specific Protein Sequence Searches <a href="http://searchlauncher.bcm.tmc.edu/seq-search/protein-search-genomes.html">BCM</a> (USA)</li>
<li>PRINTS Blast <a href="http://umber.sbs.man.ac.uk/cgi-bin/dbbrowser/PRINTS/printsBLAST.cgi">Manchester</a> (UK)</li>
<li>Search of SBASE8.0 Database <a href="http://hydra.icgeb.trieste.it/sbase/sbase.php?sec=search&amp;sub=blast">ICGEB</a> (Italy)</li>
<li>BEAUTY and BEAUTYX at BCM (BLAST Enhanced Alignment Utility : options CRSeq, CROS, Domain) <a href="http://searchlauncher.bcm.tmc.edu/seq-search/nucleic_acid-search.html">ADN</a>, <a href="http://searchlauncher.bcm.tmc.edu/seq-search/protein-search.html">Proteins</a> (<a href="http://searchlauncher.bcm.tmc.edu/seq-search/Help/beauty.html">info</a>) [D, E, R, S] et alignment for each “cluster”</li>
<li>With Entrez and SRS Links <a href="http://searchlauncher.bcm.tmc.edu/seq-search/Options/blast.html">BCM</a> [D, E, R, S]</li>
<li>Search of NRL_3D <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_ssearch.html">PBIL</a> (French) [S]</li>
<li>Search of Ex-NRL-3D (SWISS-MODEL Blast) <a href="http://www.expasy.org/swissmod/SM_Blast.html">Expasy</a></li>
<li>Search of Ribosomal RNA (SSU, LSU) <a href="http://www.psb.ugent.be/rRNA/blastrrna.html">Gent</a> (Belgium)</li>
</ul>
<ul type="circle">
<li>Gapped BLAST (résultats avec liens Banques : D, Entrez : E, Related Sequences : R, SRS : S, Prosite : P)</li>
</ul>
<ul type="disc">
<li>Advanced Form <a href="http://www.ch.embnet.org/software/BottomBLASTadvanced.html">EMBNet</a> [D]</li>
<li>Basic Form <a href="http://www.ch.embnet.org/software/BottomBLAST.html">EMBNet</a>, see also <a href="http://www.expasy.org/cgi-bin/BLASTEMBnet-CH.pl">Expasy</a> [D]</li>
<li><a href="http://bioweb.pasteur.fr/seqanal/interfaces/blast2-simple.html">Pasteur</a>, <a href="http://bioweb.pasteur.fr/seqanal/interfaces/blast2.html">advanced form</a> [D]</li>
<li>Search of microorganisms <a href="http://www-archbac.u-psud.fr/genomics/lbmgeBlast.html">U-ParisSud</a> (French)</li>
<li>Search of PIR <a href="http://pir.georgetown.edu/pirwww/search/blast.shtml">PIR</a> [D]</li>
</ul>
<ul type="circle">
<li>MEGABLAST : Nucleotide (résultats avec liens Banques : D, Entrez : E, Related Sequences : R, SRS : S, Prosite : P)</li>
</ul>
<ul type="disc">
<li><a href="http://www.ncbi.nlm.nih.gov/blast/">NCBI</a> (USA)</li>
<li><a href="http://genopole.toulouse.inra.fr/blast/megablast.html">Toulouse</a> (French)</li>
</ul>
<ul type="circle">
<li>PHI(Pattern Hit Initiated)-BLAST (résultats avec liens Banques : D, Entrez : E, Related Sequences : R, SRS : S)</li>
</ul>
<ul type="disc">
<li><a href="http://www.ncbi.nlm.nih.gov/blast/">NCBI</a> [E]</li>
<li><a href="http://bioweb.pasteur.fr/seqanal/interfaces/phiblast.html">Pasteur</a> [D]</li>
<li><a href="http://genopole.toulouse.inra.fr/blast/psiblast.html">Toulouse</a> [D]</li>
</ul>
<ul type="circle">
<li>PSI(Postion Specific Iterated)-BLAST (résultats avec liens Banques : D, Entrez : E, Related Sequences : R, SRS : S)</li>
</ul>
<ul type="disc">
<li><a href="http://www.cmbi.kun.nl/bioinf/tools/psiblast.shtml">CMBI</a> D</li>
<li><a href="http://www.ncbi.nlm.nih.gov/blast/">NCBI</a> [E]</li>
<li><a href="http://bioweb.pasteur.fr/seqanal/interfaces/blast2.html">Pasteur</a> [D]</li>
<li><a href="http://genopole.toulouse.inra.fr/blast/psiblast.html">Toulouse</a> [D]</li>
<li>Search of NRL_3D or SwissProt <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_ssearch.html">PBIL</a> (French) [S]</li>
<li>Search of microorganisms <a href="http://www-archbac.u-psud.fr/genomics/lbmgepsiBlast.html">U-ParisSud</a> (French)</li>
<li>Search of protein Databank <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_psiblast.html">PBIL</a> (French) [S]</li>
<li>SAWTED (Structure Assignment With Text Description) <a href="http://www.bmm.icnet.uk/servers/sawted/">BMM</a> (UK)</li>
</ul>
<ul type="circle">
<li>BLAST2 or WU-BLAST2 (results with links Databases : D, Entrez : E, Related Sequences : R, SRS : S, Prosite : P)</li>
</ul>
<ul type="disc">
<li>+ BEAUTY : BCM Search Launcher <a href="http://searchlauncher.bcm.tmc.edu/seq-search/protein-search.html">Proteins</a>, <a href="http://searchlauncher.bcm.tmc.edu/seq-search/nucleic_acid-search.html">Nucleic acids</a> [D, E, R, S]</li>
<li><a href="http://umber.sbs.man.ac.uk/dbbrowser/OWL/blast.html">Cambridge</a> (UK)</li>
<li><a href="http://www.ebi.ac.uk/blast/">EBI</a> (UK) [D] (WU and Blast2)</li>
<li><a href="http://dove.embl-heidelberg.de/Blast2/">EMBL</a> (Germany) [D] (WU)</li>
<li><a href="http://www.ch.embnet.org/software/WUBLAST_form.html">EMBNet</a> [D]</li>
<li><a href="http://www.expasy.org/cgi-bin/BLASTEMBnet-CH.pl">Submission form</a> to the BLAST2 server at Lausanne at Expasy (Switzerland) [D], another <a href="http://www.expasy.org/tools/blast/">link</a></li>
<li><a href="http://www.ch.embnet.org/software/aBLAST.html?">EMBNet</a> (Switzerland) [D]</li>
<li><a href="http://blast.genome.jp/">GenomeNet</a> (Japan) [D]</li>
<li><a href="http://wolf.bms.umist.ac.uk/blast/">Manchester</a> (UK)</li>
<li><a href="http://www.genebee.msu.su/blast_new/blast.html">Moscou</a> (Russia)</li>
<li><a href="http://bioweb.pasteur.fr/seqanal/interfaces/blast2-simple.html">Pasteur</a>, <a href="http://bioweb.pasteur.fr/seqanal/interfaces/blast2.html">advanced form</a> [D]</li>
<li><a href="http://www.sanger.ac.uk/DataSearch/blast.shtml">Sanger</a> (Blast and <a href="http://www.ensembl.org/Multi/blastview">Ssaha</a> : search on a set of protein or nucleotide databases available at the Sanger Centre)</li>
<li>Wash-U. multi-processors <a href="http://bioweb.pasteur.fr/seqanal/interfaces/wublast2.html">Pasteur</a> [D]</li>
<li>Orthologue Blast2 (Finding orthologues &amp; Distinguishing them from paralogues) <a href="http://coot.embl.de/Blast2e/">Heidelberg</a> (Germany)</li>
<li>Search of Arabidopsis <a href="http://www.arabidopsis.org/Blast/index.html">TAIR</a> [D, E]</li>
<li>Search of Arabidopsis (WU-Blast) <a href="http://www.arabidopsis.org/wublast/index2.jsp">TAIR</a> (USA) [D, E]</li>
<li>Search of ASD (Alternative Splicing Database) <a href="http://www.ebi.ac.uk/blast2/asd.html">EBI</a> (UK)</li>
<li>Search of Bordetella <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/b_pertussis">Sanger</a> (UK)</li>
<li>Search of C. elegans Database<a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/c_elegans">Sanger</a> (UK)</li>
<li>Search of C. albicans Database<a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/c_albicans">Sanger</a> (UK)</li>
<li>Search of DOTS (Human and Mouse Transcribed Sequences) <a href="http://www.allgenes.org/gc/servlet?page=blast">Allgenes</a> (USA)</li>
<li>Search of EST (EuroGeneIndexes) <a href="http://www.ebi.ac.uk/EGIblast2/">RBI</a> (UK)</li>
<li>Search of Drosophila (cosmids) <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/d_melanogaster">Sanger</a> (UK)</li>
<li>Search of Dictyostelium <a href="http://genome.imb-jena.de/dictyostelium/BlastDictyForm.html">Jena</a> (Germany)</li>
<li>Search of E. Coli : <a href="http://genolist.pasteur.fr/Colibri/">Pasteur</a> (French)</li>
<li>Search of EpoDB <a href="http://www.cbil.upenn.edu/EpoDB/release/version_2.2/blast.html">CBIL</a> (USA) [D]</li>
<li>Search of Ensembl <a href="http://www.cmbi.kun.nl/bioinf/tools/ensembl.shtml">CMBI</a> (The Netherlands)</li>
<li>Search of Fugu <a href="http://www.ensembl.org/Fugu_rubripes/blastview">Ensembl</a></li>
<li>Search of Haemophilus influenzae <a href="http://www.flu.lanl.gov/blast/">LANL</a> (USA)</li>
<li>Search of Human (selection of chromosomes) <a href="http://www.cmbi.kun.nl/bioinf/tools/humangen_06aug2001.shtml">CMBI</a> (The Netherlands)</li>
<li>Search of Human <a href="http://www.ensembl.org/Homo_sapiens/blastview">Ensembl</a></li>
<li>Search of Leishmania major Database <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/l_major/omni">Sanger</a> (UK)</li>
<li>Search of M. leprae <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/m_leprae">Sanger</a> (UK)</li>
<li>Search of M. tuberculosis <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/m_tuberculosis">Sanger</a> (UK)</li>
<li>Search of Merops(protease database) <a href="http://merops.sanger.ac.uk/">Sanger</a> (UK)</li>
<li>Search of Mouse <a href="http://mouseblast.informatics.jax.org/">Jackson</a> (USA)</li>
<li>Search of Mouse <a href="http://www.ensembl.org/Mus_musculus/blastview">Ensembl</a></li>
<li>Search of Parasites <a href="http://www.ebi.ac.uk/blast2/parasites.html">EBI</a> (UK)</li>
<li>Search of P. falciparum <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/p_falciparum">Sanger</a> (UK), see also <a href="http://www.ncbi.nlm.nih.gov/Malaria/plasmodiumbl.html">NCBI</a> (USA)</li>
<li>Search of S. cerevisiae <a href="http://mips.gsf.de/cgi-bin/blast/blast_page?genus=yeast">MIPS</a> (Germany)</li>
<li>Search of S. cerevisiae <a href="http://seq.yeastgenome.org/cgi-bin/nph-blast2sgd">Stanford</a> (USA) [D, E]</li>
<li>Search of S. pombe <a href="http://www.genedb.org/genedb/pombe/blast.jsp">Sanger</a> (UK)</li>
<li>Search of Salmonella typhi <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/s_typhi">Sanger</a> (UK)</li>
<li>Search of Y. pestis <a href="http://www.sanger.ac.uk/cgi-bin/blast/submitblast/y_pestis">Sanger</a> (UK)</li>
<li>Search of Zebrafish <a href="http://www.ensembl.org/Danio_rerio/blastview">Ensembl</a></li>
<li>Search of microbial genomes <a href="http://www.sanger.ac.uk/Projects/Microbes/">Sanger</a> (follow the organism link) (UK)</li>
<li>Search of TIGR Unique Gene Indices <a href="http://tigrblast.tigr.org/tgi/">TIGR</a> (USA)</li>
<li>Search of UniProt <a href="http://www.ebi.ac.uk/blast2/index.html?UniProt">EBI</a> UK, see also <a href="http://www.pir.uniprot.org/search/blast.shtml">PIR</a></li>
</ul>
<ul type="circle">
<li>BLITZ</li>
</ul>
<ul type="disc">
<li>see MPsrch <a href="http://www.ebi.ac.uk/MPsrch/">EBI</a> (UK)</li>
<li>Form at <a href="http://www2.igh.cnrs.fr/blitz/blitz.html">IGHM</a> to EMBL (results by mail)</li>
</ul>
<ul type="circle">
<li>FASTA</li>
</ul>
<ul type="disc">
<li>Fasta3 <a href="http://www.cmbi.kun.nl/bioinf/tools/fasta.shtml">CMBI</a> (Netherlands)</li>
<li>Fasta33 <a href="http://www.ebi.ac.uk/fasta33/">EBI</a> (UK)</li>
<li>Fasta33 Genomes <a href="http://www.ebi.ac.uk/fasta33/genomes.html">EBI</a> (UK)</li>
<li>Fasta3 (TFASTX/TFASTY, FASTF/TFASTF, FASTS/TFASTS) <a href="http://fasta.bioch.virginia.edu/fasta/">Virginia</a> (USA)</li>
<li><a href="http://fasta.genome.jp/">GenomeNet</a> (Japan)</li>
<li><a href="http://www2.igh.cnrs.fr/bin/fasta-guess.cgi">IGHM</a> (French)</li>
<li>DDBJ <a href="http://www.ddbj.nig.ac.jp/search/fasta-e.html">NIG</a> (Japan)</li>
<li>Fasta 3 <a href="http://bioweb.pasteur.fr/seqanal/interfaces/fasta-simple.html">Pasteur</a> (French), <a href="http://bioweb.pasteur.fr/seqanal/interfaces/fasta.html">advanced</a></li>
<li><a href="http://www.dkfz-heidelberg.de/tbi/services/dbs/blform">TBI</a> (Germany)</li>
<li>Search of PIR <a href="http://pir.georgetown.edu/pirwww/search/fasta.shtml">PIR</a> (USA)</li>
<li>Search of Arabidopsis <a href="http://www.arabidopsis.org/cgi-bin/fasta/nph-TAIRfasta.pl">TAIR</a> (fasta 3)</li>
<li>Search of Dictyostelium <a href="http://www.csm.biol.tsukuba.ac.jp/cDNA/database.html">Tsukuba</a> (Japan)</li>
<li>Search of HGBASE (European SNP database : fasta3) <a href="http://www.ebi.ac.uk/snpfasta3/">EBI</a> (UK)</li>
<li>Search of E. Coli <a href="http://genolist.pasteur.fr/Colibri/">Pasteur</a> (French)</li>
<li>Search of LGIC (Ligand Gated Ion Channel Database) <a href="http://www.ebi.ac.uk/fasta/lgicp.html">EBI</a> (UK)</li>
<li>Search of PLACE (Plant Cis-acting Regulatory DNA Elements) <a href="http://www.dna.affrc.go.jp/htdocs/PLACE/fasta.html">DISC</a> (Japan)</li>
<li>Search of S. cerevisiae <a href="http://seq.yeastgenome.org/cgi-bin/nph-fastasgd">Stanford</a> (USA)</li>
<li>Species-Specific Protein Sequence Searches <a href="http://searchlauncher.bcm.tmc.edu/seq-search/protein-search-genomes.html">BCM</a> (USA)</li>
<li>Search of NRL_3D or SwissProt <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_fasta.html">PBIL</a> (French)</li>
<li><a href="http://iubio.bio.indiana.edu:81/srsfasta/">Indiana</a> (selection of nucleic genomic subset or selection of nucleic or proteic subset by keyword (SRS system) available)</li>
</ul>
<ul type="circle">
<li>Needleman and Wunsch</li>
</ul>
<ul type="disc">
<li>AbCheck <a href="http://www.bioinf.org.uk/abs/seqtest.html">UCL</a> (London) test an antibody sequence against the Kabat sequence database</li>
</ul>
<ul type="circle">
<li>ParAlign</li>
</ul>
<ul type="disc">
<li>Search DNA and Protein Databases for Sequence Similarities (a.a. query sequence) <a href="http://www.paralign.org/">Oslo</a> (Norway)</li>
</ul>
<ul type="circle">
<li>ProClust : Protein Clustering &#8211; Searching for Homologue Proteins by using transitivity</li>
</ul>
<ul type="disc">
<li><a href="http://promoter.mi.uni-koeln.de/%7Eproclust/">Koln</a> (Germany)</li>
</ul>
<ul type="circle">
<li>RedHom (CPH models : finds a subset with low sequence similarity)</li>
</ul>
<ul type="disc">
<li><a href="http://www.cbs.dtu.dk/services/RedHom/index.html">CBS</a> (Denmark)</li>
</ul>
<ul type="circle">
<li>Smith et Waterman</li>
</ul>
<ul type="disc">
<li>Affine Smith-Waterman Algorithm <a href="http://decypher.stanford.edu/">Stanford</a> (USA)</li>
<li>FDF-SW Server (Fast Data Finder) <a href="http://www.ch.embnet.org/software/FDFSW_form.html?">EMBNet</a>, see also GeneMatcher <a href="http://www.ch.embnet.org/software/GMFDF_form.html">EMBNet</a></li>
<li>MPsrch <a href="http://www.ebi.ac.uk/MPsrch/">EBI</a> (UK)</li>
<li>Search DNA and Protein Databases for Sequence Similarities (a.a. query sequence) <a href="http://www.paralign.org/">Oslo</a> (Norway)</li>
<li>SAMBA (Systolic Accelerator for Molecular Biological Applications) <a href="http://www.irisa.fr/SAMBA/">IRISA</a> (French)</li>
<li>SCANPS (Protein Databases) <a href="http://www.ebi.ac.uk/scanps/">EBI</a></li>
<li>PepPepSearch (Search of SWISS-PROT) <a href="http://www.cbrg.ethz.ch/services/PepPepSearch">ETH</a> Zurich</li>
<li>SSEARCH <a href="http://www2.igh.cnrs.fr/bin/ssearch-guess.cgi">IGHM</a>, see also <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_ssearch.html">PBIL</a></li>
<li>SWsrch Search Service <a href="http://www.dna.affrc.go.jp/swsrch/">NIAS</a> (Japan)</li>
</ul>
<ul type="circle">
<li>SSAHA (Sequence Search and Alignment by Hashing Algorithm)</li>
</ul>
<ul type="disc">
<li>Trace server <a href="http://trace.ensembl.org/perl/ssahaview">Ensembl</a></li>
</ul>
<ul type="circle">
<li>Wise</li>
</ul>
<ul type="disc">
<li>Protein/genomic or Protein/cDNA <a href="http://bioweb.pasteur.fr/seqanal/interfaces/wise2-simple.html">Pasteur</a> (French)</li>
<li>Protein vs genomic <a href="http://www.ebi.ac.uk/Wise2/index.html">Sanger</a> (UK)</li>
</ul>
<ul type="disc">
<li>From a given aminoacids composition</li>
</ul>
<ul type="circle">
<li>AAC</li>
</ul>
<ul type="disc">
<li>Entered composition and search SWISS-PROT <a href="http://www.expasy.org/tools/aacomp/">Expasy</a> (results by e-mail)</li>
<li>From a sequence of SWISS-PROT and search SWISS-PROT <a href="http://www.expasy.org/tools/aacsim/">Expasy</a> (results by e-mail)</li>
<li>MultiIdent (aa, pI, MW, sequence tag and peptide mass fingerprinting data) <a href="http://www.expasy.org/tools/multiident/">Expasy</a></li>
</ul>
<ul type="circle">
<li>PROPSEARCH</li>
</ul>
<ul type="disc">
<li><a href="http://abcis.cbs.cnrs.fr/propsearch/">CBS</a> (French)</li>
</ul>
<ul type="disc">
<li>From peptides obtained by enzymatic cleavage</li>
</ul>
<ul type="circle">
<li>Aldente (tool to identify proteins from peptide mass fingerprinting data) <a href="http://www.expasy.org/tools/aldente/">Expasy</a></li>
<li>Mapper <a href="http://wolf.bms.umist.ac.uk/mapper/">Manchester</a> (UK)</li>
<li>MassDynSearch (searching SwissProt by protein mass after C or N-terminal digestion) <a href="http://mendel.ethz.ch:8080/Server/ServerBooklet/MassDynSearchEx.html">ETHZ</a> (Switzerland)</li>
<li>MassSearch (searching SwissProt or EMBL by protein mass after digestion) <a href="http://www.cbrg.ethz.ch/services/MassSearch">ETHZ</a> (Switzerland)</li>
<li>MS-Fit, Tag, Edman (search GenPept, SwissProt, Owl) <a href="http://prospector.ucsf.edu/">UCSF</a>, see also <a href="http://donatello.ucsf.edu/">UCSF-MSF</a></li>
<li>MultiIdent (aa, pI, MW, sequence tag and peptide mass fingerprinting data) <a href="http://www.expasy.org/tools/multiident/">Expasy</a></li>
<li>PeptideSearch <a href="http://www.narrador.embl-heidelberg.de/GroupPages/PageLink/peptidesearchpage.html">EMBL</a></li>
<li>PepSeeker (a database of proteome peptide identifications for investigating fragmentation patterns) <a href="http://nwsr.bms.umist.ac.uk/cgi-bin/pepseeker/pepseek.pl?Peptide=1">Manchester</a> (UK)</li>
<li>Popitam (protein identification and characterization using tandem mass spectrometry data) <a href="http://www.expasy.org/tools/popitam/">Expasy</a> (Switzerland)</li>
<li>Protein identification (ProFound : OWL and PepFrag : GenPept, NRL-2D, PIR, Swiss-Prot) <a href="http://prowl.rockefeller.edu/">Rockfeller</a> (USA)</li>
</ul>
<ul type="disc">
<li>From pI and molecular mass</li>
</ul>
<ul type="circle">
<li>MultiIdent (aa, pI, MW, sequence tag and peptide mass fingerprinting data) <a href="http://www.expasy.org/tools/multiident/">Expasy</a></li>
<li>PeptIdent (pI, Mw and peptide mass fingerprinting data) <a href="http://www.expasy.org/tools/peptident.html">Expasy</a></li>
<li>TagIdent (and matching a short sequence tag of up to 6 amino acids) <a href="http://www.expasy.org/tools/tagident.html">Expasy</a> (formely Guess-Prot)</li>
</ul>
<ul type="disc">
<li>From a nucleic acids sequence</li>
</ul>
<ul type="circle">
<li>NuclPepSearch <a href="http://mendel.ethz.ch:8080/Server/ServerBooklet/chapter2_6.html">ETHZ</a> (search SWISS-PROT)</li>
</ul>
<ul type="disc">
<li>From a 3D structure</li>
</ul>
<ul type="circle">
<li>3D-PSSM (Protein Fold Recognition (former Foldfit)) <a href="http://www.sbg.bio.ic.ac.uk/%7E3dpssm/">BMM</a> (UK)</li>
<li>The DALI server <a href="http://www.ebi.ac.uk/dali/">EBI</a> : search PDB (directly or by e-mail)</li>
<li>Finding 3-D Similarities in Protein Structures <a href="http://cl.sdsc.edu/">SDSC</a> (USA)</li>
<li>SAWTED (Structure Assignment With Text Description) <a href="http://www.bmm.icnet.uk/servers/sawted/">BMM</a> (UK)</li>
<li>VAST (Vector Alignment Search Tool) <a href="http://www.ncbi.nlm.nih.gov/Structure/VAST/vast.shtml">NCBI</a> (USA)</li>
<li>WWW server (SPASM, DEJAVU, MOLEMAN2) <a href="http://xray.bmc.uu.se/">Uppsala</a> (Sweden)</li>
</ul>
<ul type="disc">
<li>Search Databases for a pattern</li>
</ul>
<ul type="circle">
<li>Search protein databases</li>
</ul>
<ul type="disc">
<li>Arabidopsis pattern matching <a href="http://www.arabidopsis.org/cgi-bin/patmatch/nph-patmatch.pl">TAIR</a></li>
<li>(See BCM Launcher) <a href="http://searchlauncher.bcm.tmc.edu/seq-search/Options/blastpat.html">BLASTPAT</a> et <a href="http://searchlauncher.bcm.tmc.edu/seq-search/Options/fastpat.html">FASTPAT</a> serach a pattern database derived from “Entrez” an alignment program (PIMA) : <a href="http://searchlauncher.bcm.tmc.edu/seq-search/Help/blastpat.html">documentation</a></li>
<li>Cognitor (Compare your sequence to COG database) <a href="http://www.ncbi.nlm.nih.gov/COG/old/xognitor.html">NCBI</a> (USA)</li>
<li>Domain Fishing (a first step in protein comparative modelling) <a href="http://www.bmm.icnet.uk/%7E3djigsaw/dom_fish/">BML</a> (UK)</li>
<li>Halfwise (compare your DNA sequence against the whole of Pfam) <a href="http://www.sanger.ac.uk/Software/Pfam/dnasearch.shtml">Sanger</a> (UK)</li>
<li>HMMSearch (SwissProt, NPS) <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=/NPSA/npsa_hmmsearch.html">PBIL</a> (French)</li>
<li>HMM search in Pfam-A (Search the Pfam database by Hidden Markov models) <a href="http://www.sanger.ac.uk/Software/Pfam/search.shtml">Sanger</a>, see also <a href="http://pfam.wustl.edu/hmmsearch.shtml">Washington</a></li>
<li>HMM Query (Search PDB or/and SCOP) <a href="http://www.cse.ucsc.edu/research/compbio/HMM-apps/T99-query.html">UCSC</a> (USA)</li>
<li>HMMER <a href="http://bioweb.pasteur.fr/seqanal/motif/hmmer-uk.html">Pasteur</a> (French)</li>
<li>HMMER2 <a href="http://bioweb.pasteur.fr/seqanal/interfaces/hmmpfam.html">Pasteur</a> (French)</li>
<li>InterProScan (protein domains identifier) <a href="http://www.ebi.ac.uk/InterProScan/">EBI</a> (UK)</li>
<li>Kangaroo (pattern search with regular expression) <a href="http://www.blueprint.org/products/kangaroo/kangaroo_search.html">BluePrint</a></li>
<li>Metamotif Search <a href="http://hits.isb-sib.ch/cgi-bin/pattern_search">ISREC</a> (Switzerland), see also <a href="http://hits.isb-sib.ch/cgi-bin/motif_scan">Motif relation</a></li>
<li>MOTIF <a href="http://motif.genome.jp/">Kyoto</a> (Japan)</li>
<li>NAIL (Network Analysis Interface for Linking HMMER results) <a href="http://coot.embl.de/NAIL/">EMBL</a> (Germany)</li>
<li>PATOSEQ (motif search and alignment program) <a href="http://www.expasy.org/tools/patoseq/">Expasy</a></li>
<li><a href="http://hits.isb-sib.ch/cgi-bin/pattern_search">Pattern Search</a> : SwissProt &#8211; GenPept (ISREC) Pattern will be written with the <a href="http://www.expasy.org/tools/scnpsit3.html">Prosite</a> syntax</li>
<li>Pattern Match (PIR, NRL_3D, ProClass, PATCHX, FAMBASE) <a href="http://pir.georgetown.edu/pirwww/search/pattern.shtml">PIR</a> (USA)</li>
<li>PattinProt (Swissprot, NRL_3D, SP-TREMBL) <a href="http://npsa-pbil.ibcp.fr/cgi-bin/npsa_automat.pl?page=npsa_pattern.html">PBIL</a> (French)</li>
<li><a href="http://www.expasy.org/tools/scanprosite/">ScanProsite tool</a> (Expasy) : SwissProt Pattern will be written according the syntax of <a href="http://www.expasy.org/tools/scanprosite/scanprosite-doc.html">Prosite</a></li>
<li>Screening pattern or alignment <a href="http://www.genebee.msu.su/services/pat_reduced.html">Moscow</a> (Russia)</li>
<li>SledgeHMMER (searching the Pfam database) <a href="http://bioinformatics.albany.edu/%7Esledgehmmer/">Albany</a> (USA)</li>
</ul>
<ul type="circle">
<li>Kangaroo (pattern search with regular expression) <a href="http://www.blueprint.org/products/kangaroo/kangaroo_search.html">BluePrint</a></li>
<li>MAST (Motif Alignment and Search Tool) <a href="http://meme.sdsc.edu/meme/">San Diego</a> (see next MEME), see also <a href="http://bioweb.pasteur.fr/seqanal/motif/meme/mast.html">Pasteur</a></li>
<li>PatMatch (Yeast Genome Pattern Matching) <a href="http://db.yeastgenome.org/cgi-bin/PATMATCH/nph-patmatch">Stanford</a> (USA)</li>
<li>PatScan <a href="http://www-unix.mcs.anl.gov/compbio/PatScan/HTML/patscan.html">Argonne</a> (Proteins or Nucleic acids, selection of genomic libraries)</li>
<li>REPATT &amp; TRANSPO (exact consecutive repeats &#8211; transposons) <a href="http://www.lsi.upc.es/%7Ealggen/recerca/search/frame-search.html">Barcelona</a> (Spain)</li>
<li>Search for Sequence Pattern (DNA) <a href="http://pbil.univ-lyon1.fr/pattern.php">PBIL</a> (French)</li>
<li>Sig (Multiple Prosite motifs searching) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/sig.html">Pasteur</a> (French)</li>
<li>Signal Scan (search TDF and Transfac for eucaryotic signal) : <a href="http://bimas.dcrt.nih.gov/molbio/signal/">NIH</a>, or search IMD <a href="http://bimas.dcrt.nih.gov/molbio/matrixs/">NIH</a></li>
<li>STAn (looking for nucleotidic and peptidic patterns in chromosomes) <a href="http://www.irisa.fr/symbiose/STAN/">Rennes</a> (French)</li>
</ul>
<p>&nbsp;</p>
<p>Nucleic acids sequences</p>
<ul type="disc">
<li>Sequence Assembly</li>
</ul>
<ul type="circle">
<li>CAP (Contig Assembly Program Based on Sensitive Detection of Fragment Overlaps) <a href="http://www.infobiogen.fr/services/analyseq/cgi-bin/cap_in.pl">InfoBioGen</a> (French), see also <a href="http://bio.ifom-firc.it/ASSEMBLY/">IFOM</a> (Italy)</li>
<li>ESSEM (Est&#8217;s aSSEmbly using Malig) <a href="http://alggen.lsi.upc.es/recerca/essem/frame-essem.html">LSI</a> (Spain)</li>
<li>Gene Recognition and Assembly (GRAIL) <a href="http://compbio.ornl.gov/grailexp/">ORNL</a> (USA)</li>
<li>MERGER (merge two overlapping sequences) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/merger.html">Pasteur</a> (French)</li>
</ul>
<ul type="disc">
<li>Content &#8211; Codon usage &#8211; &#8230;</li>
</ul>
<ul type="circle">
<li>Biopolymer calculator <a href="http://paris.chem.yale.edu/extinct.html">Yale</a> (USA)</li>
<li>Codontree (codon usage table, distance matrix and bases composition) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/codontree.html">Pasteur</a> (USA)</li>
<li>Codon Usage Tabulated from GenBank <a href="http://www.kazusa.or.jp/codon/">CUTG</a> (Japan) compilation by organism, see also <a href="http://www.kazusa.or.jp/codon/countcodon.html">Countcodon</a> (for a sequence)</li>
<li>Codonw (Correspondence Analysis of Codon Usage) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/codonw.html">Pasteur</a> (French)</li>
<li>Countcodon <a href="http://www.kazusa.or.jp/codon/countcodon.html">Kazusa</a> (Japan)</li>
<li>CpG islands <a href="http://bioinformatics.org/sms/cpg_island.html">bioinformatics</a>, see also <a href="http://www.ebi.ac.uk/emboss/cpgplot/">EBI</a> (UK), see also <a href="http://deepc2.psi.iastate.edu/aat/mavg/cg.html">Iowa</a> (USA)</li>
<li>CpG rich regions <a href="http://bioweb.pasteur.fr/seqanal/interfaces/cpgreport.html">Pasteur</a>, see also <a href="http://bioweb.pasteur.fr/seqanal/interfaces/cpgplot.html">plot</a>, see also <a href="http://bioweb.pasteur.fr/seqanal/interfaces/newcpgseek.html">newcpgseek</a></li>
<li>EMBOSS at Pasteur (French), see also EMBOSS at <a href="http://www.molbiol.ox.ac.uk/analysis_tools/EMBOSS/index.shtml">CBRG</a> (UK)</li>
</ul>
<ul type="disc">
<li>Create a codon usage table <a href="http://bioweb.pasteur.fr/seqanal/interfaces/cusp.html">CUSP</a></li>
<li>Codon usage statistics <a href="http://bioweb.pasteur.fr/seqanal/interfaces/chips.html">CHIPS</a></li>
<li>Codon usage table comparison <a href="http://bioweb.pasteur.fr/seqanal/interfaces/codcmp.html">CODCMP</a></li>
<li>Find differences (SNPs) between nearly identical sequences <a href="http://bioweb.pasteur.fr/seqanal/interfaces/diffseq.html">DIFFSEQ</a></li>
<li>Displays a non-overlapping wordmatch dotplot of two sequences <a href="http://bioweb.pasteur.fr/seqanal/interfaces/dotpath.html">DOTPATH</a></li>
<li>Displays a wordmatch dotplot of two sequences <a href="http://bioweb.pasteur.fr/seqanal/interfaces/dottup.html">DOTTUP</a></li>
<li>Draws circular maps of DNA constructs <a href="http://bioweb.pasteur.fr/seqanal/interfaces/cirdna.html">CIRDNA</a></li>
<li>Draws linear maps of DNA constructs <a href="http://bioweb.pasteur.fr/seqanal/interfaces/lindna.html">LINDNA</a></li>
<li>Synonymous codon usage Gribskov statistic plot <a href="http://bioweb.pasteur.fr/seqanal/interfaces/syco.html">SYCO</a></li>
<li>Protein pattern search after translation <a href="http://bioweb.pasteur.fr/seqanal/interfaces/fuzztran.html">FUZZTRAN</a></li>
<li>Calculates the fractional GC content of a nucleic acid sequence <a href="http://bioweb.pasteur.fr/seqanal/interfaces/geecee.html">GEECEE</a></li>
<li>Find the linguistic complexity in nucleotide sequences <a href="http://bioweb.pasteur.fr/seqanal/interfaces/complex.html">COMPLEX</a></li>
<li>Finds MAR/SAR sites in nucleic sequences <a href="http://bioweb.pasteur.fr/seqanal/interfaces/marscan.html">MARSCAN</a></li>
<li>Searches DNA sequences for matches with primer pairs <a href="http://bioweb.pasteur.fr/seqanal/interfaces/primersearch.html">PRIMERSEARCH</a></li>
<li>Counts words of a specified size in a DNA sequence <a href="http://bioweb.pasteur.fr/seqanal/interfaces/wordcount.html">WORDCOUNT</a></li>
<li>Residue/base frequency table or plot <a href="http://bioweb.pasteur.fr/seqanal/interfaces/freak.html">FREAK</a></li>
<li>Display a sequence with restriction cut sites, translation etc <a href="http://bioweb.pasteur.fr/seqanal/interfaces/remap.html">REMAP</a></li>
<li>Silent mutation restriction enzyme scan <a href="http://bioweb.pasteur.fr/seqanal/interfaces/silent.html">SILENT</a></li>
<li>Reverse and complement a sequence <a href="http://bioweb.pasteur.fr/seqanal/interfaces/revseq.html">REVSEQ</a></li>
<li>Wobble base plot <a href="http://bioweb.pasteur.fr/seqanal/interfaces/wobble.html">WOBBLE</a></li>
</ul>
<ul type="circle">
<li>GCUA (Graphical Codon Usage Analyser) <a href="http://gcua.schoedl.de/">Regensburg</a> (Germany)</li>
<li>JCat (to adapt codon usage of a target gene to its potential expression host) <a href="http://www.prodoric.de/JCat/">Braunschweig</a> (Germany)</li>
<li>MSBAR (mutate sequence beyond all recognition) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/msbar.html">Pasteur</a> (French)</li>
<li>Riche en &#8230; (graphical display of content in selected bases) <a href="http://www.up.univ-mrs.fr/%7Ewabim/d_abim/">ABIM</a> (in french)</li>
<li>Verbumculus ( over- or under-represented words : suffixe tree) <a href="http://www.cs.ucr.edu/%7Estelo/Verbumculus/">California</a> (USA)</li>
</ul>
<ul type="disc">
<li>Map (restriction)</li>
</ul>
<ul type="circle">
<li>Arabidopsis Restriction Mapper <a href="http://www.arabidopsis.org/cgi-bin/patmatch/RestrictionMapper.pl">TAIR</a> (USA)</li>
<li>Find restriction sites <a href="http://tofu.tamu.edu/seqsearch/seqsearch.html">Texas</a> (USA)</li>
<li>NEBcutter V2.0 <a href="http://tools.neb.com/NEBcutter2/index.php">BioLabs</a></li>
<li>TACG <a href="http://bioweb.pasteur.fr/seqanal/interfaces/tacg.html">Pasteur</a> (French), see also <a href="http://codon2.fullerton.edu/tacg4/form4.html">California</a> (USA)</li>
<li>Webcutter <a href="http://www.firstmarket.com/cutter/cut2.html">Yale</a>, mirror at <a href="http://rna.lundberg.gu.se/cutter2/">Sweden</a></li>
<li>Restenzyme <a href="http://www.enzim.hu/%7Etusi/restric/index.html">Budapest</a> (Hungary)</li>
<li>RESTRICT (finds restriction enzyme cleavage sites) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/restrict.html">Pasteur</a> (French)</li>
<li><a href="http://www.restrictionmapper.org/">Restriction Mapper</a></li>
<li>Restriction Site Analysis <a href="http://biotools.umassmed.edu/tacg/WWWtacg.php">UMMS</a> (USA)</li>
<li>RIFLE (16S rDNA-based identification of microorganisms by comparison with RDP database restriction patterns) <a href="http://bibiserv.techfak.uni-bielefeld.de/RIFLE/">Bielefeld</a> (Germany)</li>
<li>WatCut (Cleave your DNA online, and create new cleavage sites in your oligos using silent mutations) <a href="http://watcut.uwaterloo.ca/">Waterloo</a> (Canada)</li>
<li>Yeast Genome Restriction Analysis <a href="http://db.yeastgenome.org/cgi-bin/PATMATCH/RestrictionMapper">Stanford</a>, see also <a href="http://genome-www.stanford.edu/Sacch3D/analysis/remap.html">Reverse Restricion Mapping</a> (USA)</li>
</ul>
<ul type="disc">
<li>Microarray &#8211; Genomics</li>
</ul>
<ul type="circle">
<li>ACID (database for microarray clone information) <a href="http://bioinfo.thep.lu.se/acid.html">Lund</a> (Sweden)</li>
<li>Adaptive quality-based clustering of gene expression profiles <a href="http://homes.esat.kuleuven.be/%7Ethijs/Work/Clustering.html">Sista</a> (Belgium)</li>
<li>Affycomp (benchmark for Affymetrix GeneChip expression measures) <a href="http://affycomp.biostat.jhsph.edu/">Johns Hopkins</a> (USA)</li>
<li>AMPhora Expression Data Analysis <a href="http://mips2.gsf.de/cgi-bin/proj/expression/start.pl">MIPS</a> (Germany)</li>
<li>Analysis tools <a href="http://genomics.biochem.uci.edu/genex/analysis_tools.shtml">NCGR</a> (USA)</li>
<li>ANOVA (NIA array analysis tools) <a href="http://lgsun.grc.nia.nih.gov/ANOVA/">NIH</a> (USA)</li>
<li>ArrayCyGHt (analysis and visualization of array-CGH data) <a href="http://genomics.catholic.ac.kr/arrayCGH/">Seoul</a> (Korea)</li>
<li>ArrayPipe (a flexible processing pipeline for microarray data) <a href="http://www.pathogenomics.ca/arraypipe/">Vancouver</a> (Canada)</li>
<li>ArrayXPath (mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics) <a href="http://www.snubi.org/software/ArrayXPath/">Seoul</a> (Korea)</li>
<li>Asterias (data normalization to aCGH analysis, molecular signatures with survival data, ..) <a href="http://asterias.bioinfo.cnio.es/">CNIO</a> (Spain)</li>
<li>CIMMiner (generates color-coded Clustered Image Maps (CIMs) (“heat maps”) to represent “high-dimensional” data sets such as gene expression profiles) <a href="http://discover.nci.nih.gov/cimminer/">NCI</a> (USA)</li>
<li>CONFAC (application of comparative genomic promoter analysis to DNA microarray datasets) <a href="http://morenolab.whitehead.emory.edu/cgi-bin/confac/login.pl">Atlanta</a> (USA)</li>
<li>CTWC Server (coupled two-way clustering analysis of breast cancer and colon cancer gene expression data) <a href="http://ctwc.weizmann.ac.il/">Weizmann</a> (Israel)</li>
<li>eXPatGen (Gene Expression Pattern Generator) <a href="http://www.che.udel.edu/eXPatGen/">Newark</a> (USA)</li>
<li>Express Yourself <a href="http://array.mbb.yale.edu/analysis/">Yale</a> (USA)</li>
<li>Expression Profiler (online platform for analysis of microarray data) <a href="http://www.ebi.ac.uk/expressionprofiler/">EBI</a> (UK)</li>
<li>GAP (Genome- wide Automated Primer) <a href="http://promoter.ics.uci.edu/Primers/">UCI</a> (USA)</li>
<li>GEMS (for biclustering analysis of expression data) <a href="http://genomics10.bu.edu/terrence/gems/">Boston</a> (USA)</li>
<li>GeneCruiser (service for the annotation of microarray data) <a href="http://www.broad.mit.edu/cancer/genecruiser/src/main.jsp">MIT</a> (USA)</li>
<li>GenePublisher <a href="http://www.cbs.dtu.dk/services/GenePublisher/">CBS</a> (Denmark)</li>
<li>GEPAS (pipeline for microarray gene expression data) <a href="http://gepas.bioinfo.cnio.es/">Madrid</a> (Spain), another <a href="http://www.gepas.org/">link</a></li>
<li>GOAL (automated Gene Ontology analysis of expression profiles) <a href="http://microarrays.unife.it/">Ferrara</a> (Italy)</li>
<li>INCLUSive (suite of web-based tools and is aimed at the automatic multistep analysis of microarray data) <a href="http://www.esat.kuleuven.ac.be/%7Edna/BioI/Software.html">Sista</a> (Belgium)</li>
<li>KARMA (application for comparing and annotating heterogeneous microarray platforms) <a href="http://biryani.med.yale.edu/karma/cgi-bin/mysql/karma.pl">Yale</a> (USA)</li>
<li>MADTools (analysis and storage data) <a href="http://cardioserve.nantes.inserm.fr/mad/index.htm">Nantes</a> (French)</li>
<li>MDscan (Fast Computational Method for Finding Protein-DNA Interaction) <a href="http://ai.stanford.edu/%7Exsliu/MDscan/">Stanford</a> (USA)</li>
<li>Microarray data analysis <a href="http://genopole.toulouse.inra.fr/bioinfo/microarray/">Toulouse</a> (French)</li>
<li>Microarray gene expression data analysis tools <a href="http://ep.ebi.ac.uk/Links.html">EBI</a> (UK)</li>
<li>Microarray Elements Search and Download <a href="http://arabidopsis.org/tools/bulk/microarray/index.jsp">TAIR</a> (USA)</li>
<li>MIDAW (statistical analysis of microarray data) <a href="http://muscle.cribi.unipd.it/midaw/">Padua</a> (Italy)</li>
<li>Oligodb (interactive design of oligo DNA for transcription profiling of human genes) <a href="http://oligodb.charite.de/">Berlin</a> (Germany)</li>
<li>OligoWiz 2.0 (integrating sequence feature annotation into the design of microarray probes) <a href="http://www.cbs.dtu.dk/services/OligoWiz2/">Lyngby</a> (Denmark)</li>
<li>Pathway Miner (extracting gene association networks from molecular pathways for predicting the biological significance of gene expression microarray data) <a href="http://www.biorag.org/pathway.html">Arizona</a> (USA)</li>
<li>Prism (tool for exploring sets of genome-wide data such as the data produced by expression microarrays) <a href="http://noble.gs.washington.edu/prism/">Washington</a> (USA)</li>
<li>ProbeLynx (tool for updating the association of microarray probes to genes) <a href="http://koch.pathogenomics.ca/probelynx/">Vancouver</a> (Canada)</li>
<li>ProbeWiz Server <a href="http://www.cbs.dtu.dk/services/DNAarray/probewiz.php">CBS</a> (Denmark)</li>
<li>RACE (analysis computation for gene expression data) <a href="http://race.unil.ch/">Lausanne</a> (Switzerland)</li>
<li>ROSO (optimizing oligonucleotide probes for microarrays) <a href="http://pbil.univ-lyon1.fr/roso/">PBIL</a> (French)</li>
<li>SNOMAD (Standardization and NOrmalization of MicroArray Data) <a href="http://pevsnerlab.kennedykrieger.org/snomad.htm">John Hopkins</a> (USA)</li>
<li>SOTA (DNA-array data analysis) <a href="http://bioinfo.cnio.es/sotarray/">Madrid</a> (Spain)</li>
<li>SVM (supervised cluster analysis for microarray data based on multivariate Gaussian mixture) <a href="http://svm.sdsc.edu/cgi-bin/nph-SVMsubmit.cgi">California</a> (USA)</li>
<li>VAMPIRE microarray suite (platform for the interpretation of gene expression data) <a href="http://genome.ucsd.edu/microarray/">California</a> (USA)</li>
<li>VARAN (tool for analyzing variability amongst DNA microarrays experiments) <a href="http://www.bionet.espci.fr/varan/">ESPCI</a> (French)</li>
</ul>
<ul type="disc">
<li>Motifs</li>
</ul>
<ul type="circle">
<li>CENSOR (query sequences aligned against a reference collection of human or rodent repeats) <a href="http://www.girinst.org/censor/">GIRI</a> (USA)</li>
<li>Consensus (identification of consensus patterns in unaligned DNA and protein sequences) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/consensus-simple.html">Pasteur</a> (French)</li>
<li>CREDO (tool for computational detection of conserved sequence motifs in noncoding sequences) <a href="http://mips.gsf.de/proj/regulomips/credo.htm">MIPS</a> (Germany)</li>
<li>Emotif (find motifs in aligned sequences) <a href="http://dna.stanford.edu/emotif/">Stanford</a> (USA), see also <a href="http://fold.stanford.edu/3motif/">3motif</a></li>
<li>FUZZNUC (nucleic acid pattern search) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/fuzznuc.html">Pasteur</a> (French)</li>
<li>IWoCS (analyzing ribosomal intergenic transcribed spacers configuration and taxonomic relationships) <a href="http://egg.umh.es/iwocs/">Alicante</a> (Spain)</li>
<li>MEME (tool for discovering motifs in groups of sequences) <a href="http://meme.sdsc.edu/meme/">San Diego</a>, see also <a href="http://bioweb.pasteur.fr/seqanal/motif/meme/">Pasteur</a></li>
<li>Pattern Scanning with Profiles <a href="http://kiwi.ice.mpg.de/profile/profile.html">Max-Planck</a> (Germany)</li>
<li>Pattern_Search (searching potential composite elements similar to the COMPEL collection) <a href="http://compel.bionet.nsc.ru/FunSite/CompelPatternSearch.html">GBF</a> (Russia)</li>
<li>Probe, sequence match RDP <a href="http://rdp.cme.msu.edu/">Michigan</a> (USA)</li>
<li>Scan_for_matches <a href="http://bioweb.pasteur.fr/seqanal/interfaces/scan_for_matches.html">Pasteur</a> (French)</li>
<li>SeSiMCMC (a Gibbs sampler for identification of symmetrically structured, spaced DNA motifs with improved estimation of the signal length) <a href="http://favorov.imb.ac.ru/SeSiMCMC/">Moscow</a> (Russia)</li>
<li>SMILE (tool that infers motifs in a set of sequences) à Pasteur : <a href="http://bioweb.pasteur.fr/seqanal/interfaces/smile.html">simple motif</a>, with <a href="http://bioweb.pasteur.fr/seqanal/interfaces/smile2.html">2 boxes</a></li>
<li>TRANSPO (Searching for Transposons with known TIR) <a href="http://alggen.lsi.upc.es/recerca/transpo/transpo.html">LSI</a> (Spain)</li>
<li>UTRScan <a href="http://www.ba.itb.cnr.it/BIG/UTRScan/">Bari</a> (Italy)</li>
<li>WORDMATCH (finds all exact matches of a given size between 2 DNA sequences) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/wordmatch.html">Pasteur</a> (French)</li>
</ul>
<ul type="disc">
<li>PCR primer selection</li>
</ul>
<ul type="circle">
<li>Tools at <a href="http://inn.weizmann.ac.il/bio_tools/primers.html">Weizmann</a> (Israel)</li>
<li>Aide PCR (in french) <a href="http://www.dsi.univ-paris5.fr/bio2/PCRProg.html">U-Descartes</a> (French)</li>
<li>AcePrimer (automation of PCR primer design based on gene structure) <a href="http://elegans.bcgsc.bc.ca/gko/aceprimer.shtml">Vancouver</a> (Canada)</li>
<li>AMOD (a morpholino oligonucleotide selection tool) <a href="http://www.secretomes.umn.edu/AMOD/">Minnesota</a> (USA)</li>
<li>AOPredict (Antisense Oligonucleotide Prediction Program) <a href="http://www.cgb.ki.se/AOpredict/">Karolinska</a> (Sweden)</li>
<li>ASePCR (alternative splicing electronic RT-PCR in multiple tissues and organs) <a href="http://genome.ewha.ac.kr/ASePCR/">Seoul</a> (Korea)</li>
<li>Assembly PCR oligo maker (a tool for designing oligodeoxynucleotides for constructing long DNA molecules for RNA production) <a href="http://publish.yorku.ca/%7Epjohnson/AssemblyPCRoligomaker.html">Toronto</a> (Canada)</li>
<li>BiSearch (primer-design and search tool for PCR on bisulfite-treated genomes) <a href="http://bisearch.enzim.hu/">Budapest</a> (Hungary)</li>
<li>Cascade (16S rDNA prokaryotic multiple sequence alignment (prokMSA) for browsing, blasting, probing) <a href="http://greengenes.llnl.gov/16S/">LLNL</a> (USA)</li>
<li>CloneIt (finding cloning strategies, in-frame deletions and frameshifts) <a href="http://genome.jouy.inra.fr/cgi-bin/CloneIt/CloneIt">INRA</a> (French)</li>
<li>CODEHOP (COnsensus-DEgenerate Hybrid Oligonucleotide Primers) <a href="http://blocks.fhcrc.org/blocks/codehop.html">Blocks</a> (USA)</li>
<li>DAN (calculates DNA RNA/DNA melting temperature) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/dan.html">Pasteur</a> (French)</li>
<li>DEQOR (tool for the design and quality control of siRNAs) <a href="http://cluster-1.mpi-cbg.de/Deqor/deqor.html">Max Planck</a> (Germany)</li>
<li><a href="http://doprimer.interactiva.de/">DoPrimer</a> (Germany)</li>
<li>Electronic PCR (PCR-based sequence tagged sites (STSs)) <a href="http://www.ncbi.nlm.nih.gov/sutils/e-pcr/">NCBI</a> (USA)</li>
<li>E-RNAi (to design optimized RNAi constructs) <a href="http://www.dkfz.de/signaling2/e-rnai/">Heidelberg</a> (Germany)</li>
<li>ExPrimer (to design primers from exon-exon junctions) <a href="http://exprimer.ibab.ac.in/exprimer_html/exprimer.html">Bangalore</a> (India)</li>
<li>FractTM (a fractional programming approach to efficient DNA melting temperature calculation) <a href="http://www.zaik.uni-koeln.de/bioinformatik/fptm.html">Koln</a> (Germany)</li>
<li>Gene2Oligo (oligonucleotide design for in vitro gene synthesis) <a href="http://berry.engin.umich.edu/gene2oligo/">Michigan</a> (USA)</li>
<li>GeneFisher <a href="http://bibiserv.techfak.uni-bielefeld.de/genefisher/">Bielefeld</a> (Germany)</li>
<li>G-PRIMER (greedy algorithm for selecting minimal primer set) <a href="http://protein.bii.a-star.edu.sg/gprimer/index.html">Singapore</a></li>
<li>Hyther <a href="http://ozone2.chem.wayne.edu/Hyther/hythermenu.html">WSU</a> (USA)</li>
<li>ISOCHORE (plots isochores in large DNA sequences) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/isochore.html">Pasteur</a> (French)</li>
<li>MEDUSA <a href="http://www.cgr.ki.se/cgr/MEDUSA/">Karolinska</a> (Sweden)</li>
<li>MELTING (enthalpie, entropy and melting temperature) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/melting.html">Pasteur</a> (French)</li>
<li>MethPrimer (Design Primers for Methylation PCRs) <a href="http://www.urogene.org/methprimer/">UCSF</a> (USA)</li>
<li>MuPlex (multi-objective multiplex PCR assay design) <a href="http://genomics14.bu.edu:8080/MuPlex/MuPlex.html">Boston</a> (USA)</li>
<li>Oligo Calculator (Java script) <a href="http://www.pitt.edu/%7Ersup/OligoCalc.html">Pittsburg</a> (USA)</li>
<li>Oligo Calculator <a href="http://bioinformatics.org/sewer/pcr.htm">BioInf</a> (USA)</li>
<li>Oligodb (interactive design of oligo DNA for transcription profiling of human genes) <a href="http://oligodb.charite.de/">Berlin</a> (Germany)</li>
<li>OligoFAktory (a visual tool for interactive oligonucleotide design) <a href="http://ueg.ulb.ac.be/oligofaktory/">Brussells</a> (Belgium)</li>
<li>PCR designer for restriction analysis of various types of sequence mutation <a href="http://cedar.genetics.soton.ac.uk/public_html/primer.html">Oxford</a> (UK)</li>
<li>PCR Suite (Overlapping_Primers, Genomic_Primers, SNP_Primers, cDNA_Primers) <a href="http://www2.eur.nl/fgg/kgen/primer/">Rotterdam</a> (The Netherlands)</li>
<li>PIRA (PCR designer for restriction analysis of single nucleotide polymorphisms) <a href="http://cedar.genetics.soton.ac.uk/public_html/primer2.html">Southampton</a> (UK)</li>
<li>PRIDE (PRImer DEsign for large scale sequencing) <a href="http://pride.molgen.mpg.de/">TBI</a> (Germany)</li>
<li>PriFi (using a multiple alignment of related sequences to find primers for amplification of homologs) <a href="http://cgi-www.daimi.au.dk/cgi-chili/PriFi/main">Aarhus</a> (Denmark)</li>
<li>PRIMA (selects primers for PCR and DNA amplification) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/prima.html">Pasteur</a> (French)</li>
<li>Primaclade (a flexible tool to find conserved PCR primers across multiple species) <a href="http://www.umsl.edu/services/kellogg/primaclade.html">Saint Louis</a> (USA)</li>
<li>Primegens (PRIMEr Design Using GEN Specific Fragments) <a href="http://compbio.ornl.gov/structure/primegens/server.html">ORNL</a> (USA)</li>
<li>Primer 3 <a href="http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www.cgi">MIT</a> (USA), see also <a href="http://biotools.umassmed.edu/bioapps/primer3_www.cgi">UMMS</a> (USA)</li>
<li>The Primer Generator <a href="http://www.med.jhu.edu/medcenter/primer/primer.cgi">Johns Hopkins</a> (USA)</li>
<li>Primo (Prediction of forward and reverse oligonucleotide Primers) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/primo.html">Pasteur</a> (French), see also <a href="http://atlas.swmed.edu/primo/primo_form.html">Texas</a></li>
<li>Primo MSP (methylation specific PCR Primer design) <a href="http://www.changbioscience.com/primo/primom.html">Chang Bioscience</a></li>
<li>Radiation Hybrid Mapping <a href="http://www-genome.wi.mit.edu/cgi-bin/contig/rhmapper">MIT</a> (USA)</li>
<li>SIDE (siRNA design, highly specific and accurate selection of siRNAs for high-throughput functional assays) <a href="http://side.bioinfo.ochoa.fib.es/">Madrid</a> (Spain)</li>
<li>siDirect (target-specific siRNA design software for mammalian RNA interference) <a href="http://design.rnai.jp/">Tokyo</a> (Japan)</li>
<li>siRNA selector <a href="http://hydra1.wistar.upenn.edu/Projects/siRNA/siRNAindex.htm">Philadelphia</a> (USA)</li>
<li>siRNA Design Tool (filtering, &#8230;) <a href="http://i.cs.hku.hk/%7Esirna/software/sirna.php">Hong Kong</a> (UK)</li>
<li>SNPbox (primer design from gene to genome) <a href="http://www.snpbox.org/">Antwerp</a> (Belgium)</li>
<li>SNP Cutter (a comprehensive tool for SNP PCR-RFLP assay design) <a href="http://bioinfo.bsd.uchicago.edu/SNP_cutter.htm">Chicago</a> (USA)</li>
<li>SOP3v2 (selection of oligonucleotide primer trios for genotyping of human and mouse polymorphisms) <a href="http://imgen.ccbb.pitt.edu/sop3/">Pittsburgh</a> (USA)</li>
<li>SSR primer (simple sequence repeat marker loci discovery) <a href="http://hornbill.cspp.latrobe.edu.au/cgi-binpub/ssrprimer/indexssr.pl">Victoria</a> (Australia)</li>
<li>STSSEARCH (searches a DNA database for matches with a set of STS primers) <a href="http://bioweb.pasteur.fr/seqanal/interfaces/stssearch.html">Pasteur</a> (French)</li>
<li>TROD (short interfering RNAs (siRNAs) with T7 RNA polymerase) <a href="http://www.unige.ch/sciences/biologie/bicel/websoft/RNAi.html">Genève</a> (Switzerland)</li>
<li>VecScreen (tool for screening a nucleotide sequence for vector) <a href="http://www.ncbi.nlm.nih.gov/VecScreen/">NCBI</a> (USA)</li>
<li>Virtual PCR <a href="http://www.sci.muni.cz/cgi-bin/vpcr.cgi">Brno</a> (Czech Republic)</li>
<li>vPCR <a href="http://grup.cribi.unipd.it/cgi-bin/mateo/vpcr2.cgi">Padua</a> (Italy)</li>
<li>WatCut (Cleave your DNA online, and create new cleavage sites in your oligos using silent mutations) <a href="http://watcut.uwaterloo.ca/watcut/watcut/template.php">Waterloo</a> (Canada)</li>
<li>Web Primer (Saccharomyces) <a href="http://seq.yeastgenome.org/cgi-bin/web-primer">Stanford</a></li>
<li>Bellerophon (detects chimeric sequences in multiple sequence alignments 16S rDNA) <a href="http://foo.maths.uq.edu.au/%7Ehuber/bellerophon.pl">Brisbane</a> (Australia)</li>
<li>Chimera detection (Detection of chimeric 16S rRNA artifacts generated by PCR amplification) <a href="http://www-hto.usc.edu/software/mglobalCHI/chidetect-query.html">USC</a> (USA)</li>
</ul>
<ul type="disc">
<li>Prediction of gene structure (exons, splicing sites, promotors)</li>
</ul>
<ul type="circle">
<li>AAT (Analysis and Annotation Tool for Finding Genes in Genomic Sequences) <a href="http://genome.cs.mtu.edu/aat.html">Michigan</a> (USA)</li>
<li>AGenDA (gene-prediction tool that is based on cross-species sequence comparison) <a href="http://bibiserv.techfak.uni-bielefeld.de/agenda/">Bielefeld</a> (Germany)</li>
</ul>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/645-705/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>两个有关科学工作的图，有木有感觉？</title>
		<link>http://www.91bio.com/the-scientific-work-of-the-two-plans-there-is-a-feeling-of-wood/</link>
		<comments>http://www.91bio.com/the-scientific-work-of-the-two-plans-there-is-a-feeling-of-wood/#comments</comments>
		<pubDate>Mon, 26 Dec 2011 03:09:58 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物]]></category>
		<category><![CDATA[生物创意]]></category>
		<category><![CDATA[生物有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645701</guid>
		<description><![CDATA[找生物在twitter上看到的两个图片，一个是《公众眼中与现实生活中科学工作者的不同》，另外一个是《不同学历层次之间的相互看法》，挺有意思的，分享一下！]]></description>
			<content:encoded><![CDATA[<p>找生物在twitter上看到的两个图片，一个是《公众眼中与现实生活中科学工作者的不同》，另外一个是《不同学历层次之间的相互看法》，挺有意思的，分享一下！</p>
<p><a href="http://tu.6.cn/pic/play-tu/id/0#13896803"><img src="http://i.6.cn/cvbnm/cb/e8/b9/bad513faa7af7a6927c71ff12cb68ba3.jpg" alt="science-in-reality" width="720" height="2273" /></a></p>
<p><a href="http://tu.6.cn/pic/play-tu/id/0#13896802"><img src="http://i.6.cn/cvbnm/a0/42/2e/084636e9498a1a685c631b2accbd3ca8.jpg" alt="368831798" /></a></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>又一个优美生物诗</title>
		<link>http://www.91bio.com/there-is-a-beautiful-poem-biological/</link>
		<comments>http://www.91bio.com/there-is-a-beautiful-poem-biological/#comments</comments>
		<pubDate>Sat, 24 Dec 2011 03:09:27 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645602</guid>
		<description><![CDATA[彷徨·能量 秋风起 水面微皱 我的心情像酶的活性 随着pH和温度而动荡 断裂了ATP的高能磷酸键 我有了抬头的力量 静望 夕阳的余光 余光中的植物一片透亮 仿佛可看见 叶绿体中缕缕冒出的氧 [H]把二氧化碳还原成糖 默默地聚集着能量 一切那么匆忙 难道它们也担心黑夜中的静寂 静寂中的彷徨？ 恰如糖分解为丙酮酸 我艰难的释放着能量 纵使窒息到没有氧气 大不了 把宝贵的[H]处理成垃圾 给我一点希望 我就能释放出辉煌 就像给一点氧 丙酮酸分解成二氧化碳 大量的[H]就释放出惊人的能量 夜深了 就睡吧 再寒冷的夜晚 酶也不会变性 再深的迷惘 我也不会绝望]]></description>
			<content:encoded><![CDATA[<p>彷徨·能量</p>
<p>秋风起<br />
水面微皱<br />
我的心情像酶的活性<br />
随着pH和温度而动荡</p>
<p>断裂了ATP的高能磷酸键<br />
我有了抬头的力量<br />
静望<br />
夕阳的余光</p>
<p>余光中的植物一片透亮<br />
仿佛可看见<br />
叶绿体中缕缕冒出的氧<br />
[H]把二氧化碳还原成糖<br />
默默地聚集着能量<br />
一切那么匆忙</p>
<p>难道它们也担心黑夜中的静寂<br />
静寂中的彷徨？</p>
<p>恰如糖分解为丙酮酸<br />
我艰难的释放着能量<br />
纵使窒息到没有氧气<br />
大不了<br />
把宝贵的[H]处理成垃圾</p>
<p>给我一点希望<br />
我就能释放出辉煌<br />
就像给一点氧<br />
丙酮酸分解成二氧化碳<br />
大量的[H]就释放出惊人的能量</p>
<p>夜深了<br />
就睡吧<br />
再寒冷的夜晚<br />
酶也不会变性<br />
再深的迷惘<br />
我也不会绝望</p>
]]></content:encoded>
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		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>实验室的东东英文您知道怎么说吗</title>
		<link>http://www.91bio.com/laboratory-of-stuff-you-know-how-to-say-it-in-english/</link>
		<comments>http://www.91bio.com/laboratory-of-stuff-you-know-how-to-say-it-in-english/#comments</comments>
		<pubDate>Fri, 23 Dec 2011 11:37:11 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645600</guid>
		<description><![CDATA[学习下实验室英语吧，先从设备开始吧！ DNA测序仪 DNA Sequencers DNA合成仪 DNA synthesizer 紫外观察灯 Ultraviolet Lamp 分子杂交仪 Hybridization Oven PCR仪 PCR Amplifier 化学发光仪 Chemiluminescence Apparatus 紫外检测仪 Ultraviolet Detector 电泳 Electrophoresis 酶标仪 ELIASA CO2培养箱 CO2 Incubators 倒置显微镜 Inverted Microscope 超净工作台 Bechtop 流式细胞仪 Flow Cytometer 微生物自动分析系统 Automatic Analyzer for Microbes 生化分析仪 Biochemical Analyzer 血气分析仪 Blood-gas Analyzer 电解质分析仪 Electrolytic Analyzer 尿液分析仪 Urine Analyzer 临床药物浓度仪 [...]]]></description>
			<content:encoded><![CDATA[<p>学习下实验室英语吧，先从设备开始吧！<br />
<img class="aligncenter" title="44" src="http://www.yooyoo360.com/photo/2009-1-3/20090115231056494.jpg" alt="" width="300" height="425" /><br />
DNA测序仪 DNA Sequencers<br />
DNA合成仪 DNA synthesizer<br />
紫外观察灯 Ultraviolet Lamp<br />
分子杂交仪 Hybridization Oven<br />
PCR仪 PCR Amplifier<br />
化学发光仪 Chemiluminescence Apparatus<br />
紫外检测仪 Ultraviolet Detector<br />
电泳 Electrophoresis<br />
酶标仪 ELIASA<br />
CO2培养箱 CO2 Incubators<br />
倒置显微镜 Inverted Microscope<br />
超净工作台 Bechtop<br />
流式细胞仪 Flow Cytometer<br />
微生物自动分析系统 Automatic Analyzer for Microbes<br />
生化分析仪 Biochemical Analyzer<br />
血气分析仪 Blood-gas Analyzer<br />
电解质分析仪 Electrolytic Analyzer<br />
尿液分析仪 Urine Analyzer<br />
临床药物浓度仪 Analyzer for Clinic Medicine Concentration<br />
血球计数器 Hematocyte Counter<br />
原子发射光谱仪 Atomic Emission Spectrometer AES<br />
电感偶合等离子体发射光谱仪 Inductive Coupled Plasma Emission<br />
Spectrometer ICP<br />
直流等离子体发射光谱仪 Direct Current Plasma Emission Spectrometer<br />
DCP<br />
紫外-可见光分光光度计 UV-Visible Spectrophotometer UV-Vis<br />
微波等离子体光谱仪 Microwave Inductive Plasma Emission<br />
Spectrometer MIP<br />
原子吸收光谱仪 Atomic Absorption Spectroscopy AAS<br />
原子荧光光谱仪 Atomic Fluorescence Spectroscopy AFS<br />
傅里叶变换红外光谱仪 FT-IR Spectrometer FTIR<br />
傅里叶变换拉曼光谱仪 FT-Raman Spectrometer FTIR-Raman<br />
气相色谱仪 Gas Chromatograph GC<br />
高压/效液相色谱仪 High Pressure/Performance Liquid Chromatography<br />
HPLC<br />
离子色谱仪 Ion Chromatograph<br />
凝胶渗透色谱仪 Gel Permeation Chromatograph GPC<br />
体积排阻色谱 Size Exclusion Chromatograph SEC<br />
X射线荧光光谱仪 X-Ray Fluorescence Spectrometer XRF<br />
X射线衍射仪 X-Ray Diffractomer XRD<br />
同位素X荧光光谱仪 Isotope X-Ray Fluorescence Spectrometer<br />
电子能谱仪 Electron Energy Disperse Spectroscopy<br />
能谱仪 Energy Disperse Spectroscopy EDS<br />
质谱仪 Mass Spectrometer MS<br />
ICP-质谱联用仪 ICP-MS ICP-MS<br />
气相色谱-质谱联用仪 GC-MS GC-MS<br />
液相色谱-质谱联用仪 LC-MS LC-MS<br />
核磁共振波谱仪 Nuclear Magnetic Resonance Spectrometer<br />
NMR<br />
电子顺磁共振波谱仪 Electron Paramagnetic Resonance Spectrometer<br />
ESR<br />
极谱仪 Polarograph<br />
伏安仪 Voltammerter<br />
自动滴定仪 Automatic Titrator<br />
电导仪 Conductivity Meter<br />
pH计 pH Meter<br />
水质分析仪 Water Test Kits<br />
电泳仪 Electrophoresis System<br />
表面科学 Surface Science<br />
电子显微镜 Electro Microscopy<br />
光学显微镜 Optical Microscopy<br />
金相显微镜 Metallurgical Microscopy<br />
扫描探针显微镜 Scanning Probe Microscopy<br />
表面分析仪 Surface Analyzer<br />
无损检测仪 Instrument for Nondestructive Testing<br />
物性分析 Physical Property Analysis<br />
热分析仪 Thermal Analyzer<br />
粘度计 Viscometer<br />
流变仪 Rheometer<br />
粒度分析仪 Particle Size Analyzer<br />
热物理性能测定仪 Thermal Physical Property Tester<br />
电性能测定仪 Electrical Property Tester<br />
光学性能测定仪 Optical Property Tester<br />
机械性能测定仪 Mechanical Property Tester<br />
燃烧性能测定仪 Combustion Property Tester<br />
老化性能测定仪 Aging Property Tester<br />
生物技术分析 Biochemical analysis<br />
PCR仪 Instrument for Polymerase Chain Reaction PCR<br />
DNA及蛋白质的测序和合成仪 Sequencers and Synthesizers for DNA and<br />
Protein<br />
传感器 Sensors<br />
其他 Other/Miscellaneous<br />
流动分析与过程分析 Flow Analytical and Process Analytical<br />
Chemistry<br />
气体分析 Gas Analysis<br />
基本物理量测定 Basic Physics<br />
样品处理 Sample Handling<br />
金属/材料元素分析仪 Metal/material elemental analysis<br />
环境成分分析仪 CHN Analysis<br />
发酵罐 Fermenter<br />
生物反应器 Bio-reactor<br />
摇床 Shaker<br />
离心机 Centrifuge<br />
超声破碎仪 Ultrasonic Cell Disruptor<br />
超低温冰箱 Ultra-low Temperature Freezer<br />
恒温循环泵 Constant Temperature Circulator<br />
超滤器 Ultrahigh Purity Filter<br />
冻干机 Freeze Drying Equipment<br />
部分收集器 Fraction Collector<br />
氨基酸测序仪 Protein Sequencer<br />
氨基酸组成分析仪 Amino Acid Analyzer<br />
多肽合成仪 Peptide synthesizer</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓生物应用之NEBtool</title>
		<link>http://www.91bio.com/andrews-biological-application-of-nebtool/</link>
		<comments>http://www.91bio.com/andrews-biological-application-of-nebtool/#comments</comments>
		<pubDate>Fri, 23 Dec 2011 01:23:06 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[安卓]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645592</guid>
		<description><![CDATA[找生物在以前介绍过的iPhone应用中有一款NEB的工具，现在在android中也发布了此应用。 对于NEB各位童鞋还是应该比较熟悉的，不过多介绍还是直接上图吧 &#160; &#160; &#160; NEB Tools brings New England Biolabs&#8217; most popular web tools to Android. Use Enzyme Finder to select a restriction enzyme by category, recognition sequence or name. Sort your results, then email them to your inbox or connect directly to www.neb.com. Determine buffer and reaction conditions for experiments requiring two restriction [...]]]></description>
			<content:encoded><![CDATA[<p>找生物在以前介绍过的<a title="10 个iPhone/ iPad生物学应用介绍" href="http://www.91bio.com/10-iphone-ipad-introduced-biological-applications/" target="_blank">iPhone应用中有一款NEB的工具</a>，现在在android中也发布了此应用。</p>
<p>对于NEB各位童鞋还是应该比较熟悉的，不过多介绍还是直接上图吧</p>
<p><img class="alignnone" title="1" src="https://lh6.ggpht.com/_2xTEvjQNAifl9p3J2eZhT3WFvpO1BrKmZL3NPmw_Za8olEVvLOVNdkxdLg6OkP6cA" alt="" width="307" height="512" /><img class="alignnone" title="2" src="https://lh3.ggpht.com/hUtTBIlnl3kKQKHpsQEyyYmHzCM6umDLCiFExdflroHx5TbSsgcqtsqfKoKgvWz73e8" alt="" width="307" height="512" /></p>
<p>&nbsp;</p>
<p><img class="alignnone" title="3" src="https://lh5.ggpht.com/OtGC3Lqk8MXHUNWdxus0bKdbr5Ijy0YgPWpepP8oFxrDk6YLAoezVNsHuedS3URS1eY" alt="" width="307" height="512" /><img class="alignnone" title="3" src="https://lh5.ggpht.com/yKFZ5PuSO-hQ6M7y9KT1rR5sHwK9gyjX2LcEh8PnltA-OrjUgNMRTNU3OHkW2V_pAnbU" alt="" width="307" height="512" /></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>NEB Tools brings New England Biolabs&#8217; most popular web tools to Android. Use Enzyme Finder to select a restriction enzyme by category, recognition sequence or name. Sort your results, then email them to your inbox or connect directly to www.neb.com. Determine buffer and reaction conditions for experiments requiring two restriction enzymes using the Double Digest Finder. Look for Time-Saver and HF enzymes for the ultimate in convenience. The NEB Tools app enables quick and easy access to the most requested restriction enzyme information, and allows you to plan your experiments from anywhere.</p>
<p>下载安装地址：<a href="https://market.android.com/details?id=com.whiz.nebtools">https://market.android.com/details?id=com.whiz.nebtools</a></p>
]]></content:encoded>
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		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>生物实验技巧之PCR污染与对策</title>
		<link>http://www.91bio.com/biological-experimental-techniques-and-countermeasures-of-pcr-contamination/</link>
		<comments>http://www.91bio.com/biological-experimental-techniques-and-countermeasures-of-pcr-contamination/#comments</comments>
		<pubDate>Thu, 22 Dec 2011 12:04:47 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[生物实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645598</guid>
		<description><![CDATA[PCR反应的最大特点是具有较大扩增能力与极高的灵敏性，但令人头痛的问题是易污染，极其微量的污染即可造成假阳性的产生。 污染原因 (一)标本间交叉污染:标本污染主要有收集标本的容器被污染，或标本放置时，由于密封不严溢于容器外，或容器外粘有标本而造成相互间交叉污染;标本核酸模板在提取过程中，由于吸样枪污染导致标本间污染;有些微生物标本尤其是病毒可随气溶胶或形成气溶胶而扩散，导致彼此间的污染。 (二)PCR试剂的污染:主要是由于在PCR试剂配制过程中，由于加样枪、容器、双蒸水及其它溶液被PCR核酸模板污染. (三)PCR扩增产物污染:这是PCR反应中最主要最常见的污染问题，因为PCR产物拷贝量 大(一般为1013拷贝/ml)，远远高于PCR检测数个拷贝的极限，所以极微量的PCR产物 污染，就可造成假阳就可形成假阳性。 还有一种容易忽视，最可能造成PCR产物污染的形式是气溶胶污染;在空气与液体面摩擦时就可形成气溶胶，在操作时比较剧烈地摇动反应管，开盖时、吸样时及污染进样枪的反复吸样都可形成气溶胶而污染.据计算一个气溶胶颗粒可含48000拷贝，因而由 其造成的污染是一个值得特别重视的问题. (四)实验室中克隆质粒的污染:在分子生物学实验室及某些用克隆质粒做阳性对照的检验室，这个问题也比较常见。因为克隆质粒在单位容积内含量相当高，另外在纯化过程中需用较多的用具及试剂，而且在活细胞内的质粒，由于活细胞的生长繁殖的简便性及具有很强的生命力，其污染可能性也很大。 污染的监测 一个好的实验室，要时刻注意污染的监测，考虑有无污染是什么原因造成的污染，以便采取措施，防止和消除污染。 对照试验 1.阳性对照:在建立PCR反应实验室及一般的检验单位都应设有PCR阳性对照，它是PCR反应是否成功、产物条带位置及大小是否合乎理论要求的一个重要的参考标志。阳性对照要选择扩增度中等、重复性好，经各种鉴定是该产物的标本，如以重组质粒为阳性对照，其含量宜低不宜高(100个拷贝以下)，但阳性对照尤其是重组质粒及高浓度阳性标本，其对检测或扩增样品污染的可能性很大。因而当某一PCR试剂经自己使用稳定，检验人员心中有数时，在以后的实验中可免设阳性对照。 2.阴性对照:每次PCR实验务必做阴性对照。它包括①标本对照:被检的标本是血清就用鉴定后的正常血清作对照;被检的标本是组织细胞就用相应的组织细胞作对照。②试剂对照:在PCR试剂中不加模板DNA或RNA，进行PCR扩增，以监测试剂是否污染。 3.重复性试验 4.选择不同区域的引物进行PCR扩增 防止污染的方法 一． 污染的预防 进行PCR操作时，操作人员应该严格遵守一些操作规程，最大程度地降低可能出现的PCR污染或杜绝污染的出现。 （一）划分操作区：目前，普通PCR尚不能做到单人单管，实现完全闭管操作，但无论是否能够达到单人单管，均要求实验操作在三个不同的区域内进行，PCR的前处理和后处理要在不同的隔离区内进行： 1. 标本处理区，包括扩增摸板的制备； 2. PCR扩增区，包括反应液的配制和PCR扩增； 3. 产物分析区，凝胶电泳分析，产物拍照及重组克隆的制备。 各工作区要有一定的隔离，操作器材专用，要有一定的方向性。如：标本制备→PCR扩增→产物分析→产物处理。 切记：产物分析区的产物及器材不要拿到其他两个工作区。 （二）分装试剂：PCR扩增所需要的试剂均应在装有紫外灯的超净工作台或负压工作台配制和分装。所有的加样器和吸头需固定放于其中，不能用来吸取扩增后的DNA和其他来源的DNA： 1． PCR用水应为高压的双蒸水； 2． 引物和dNTP用高压的双蒸水在无PCR扩增产物区配制； 3． 引物和dNTP应分装储存，分装时应标明时间，以备发生污染时查找原因。 (三) 实验操作注意事项 尽管扩增序列的残留污染大部分是假阳性反应的原因，样品间的交叉污染也是原因之一。因此，不仅要在进行扩增反应是谨慎认真，在样品的收集、抽提和扩增的所有环节都应该注意： 1. 戴一次性手套，若不小心溅上反应液，立即更换手套； 2. 使用一次性吸头，严禁与PCR产物分析室的吸头混用，吸头不要长时间暴露于空气中，避免气溶胶的污染； 3. 避免反应液飞溅，打开反应管时为避免此种情况，开盖前稍离心收集液体于管底。若不小心溅到手套或桌面上，应立刻更换手套并用稀酸擦拭桌面； 4. 操作多份样品时，制备反应混合液，先将dNTP、缓冲液、引物和酶混合好，然后分装，这样即可以减少操作，避免污染，又可以增加反应的精确度； 5. 最后加入反应模板，加入后盖紧反应管； 6. 操作时设立阴阳性对照和空白对照，即可验证PCR反应的可靠性，又可以协助判断扩增系统的可信性； 7. 尽可能用可替换或可高压处理的加样器，由于加样器最容易受产物气溶胶或标本DNA的污染，最好使用可替换或高压处理的加样器。如没有这种特殊的加样器，至少PCR操作过程中加样器应该专用，不能交叉使用，尤其是PCR产物分析所用加样器不能拿到其它两个区； 8. [...]]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="pcr2" src="http://file.qlteacher.com/upload/gz2010/images/1007/28/110052671.JPG" alt="" width="672" height="492" /></p>
<p>PCR反应的最大特点是具有较大扩增能力与极高的灵敏性，但令人头痛的问题是易污染，极其微量的污染即可造成假阳性的产生。<br />
污染原因<br />
(一)标本间交叉污染:标本污染主要有收集标本的容器被污染，或标本放置时，由于密封不严溢于容器外，或容器外粘有标本而造成相互间交叉污染;标本核酸模板在提取过程中，由于吸样枪污染导致标本间污染;有些微生物标本尤其是病毒可随气溶胶或形成气溶胶而扩散，导致彼此间的污染。<br />
(二)PCR试剂的污染:主要是由于在PCR试剂配制过程中，由于加样枪、容器、双蒸水及其它溶液被PCR核酸模板污染.<br />
(三)PCR扩增产物污染:这是PCR反应中最主要最常见的污染问题，因为PCR产物拷贝量 大(一般为1013拷贝/ml)，远远高于PCR检测数个拷贝的极限，所以极微量的PCR产物 污染，就可造成假阳就可形成假阳性。<br />
还有一种容易忽视，最可能造成PCR产物污染的形式是气溶胶污染;在空气与液体面摩擦时就可形成气溶胶，在操作时比较剧烈地摇动反应管，开盖时、吸样时及污染进样枪的反复吸样都可形成气溶胶而污染.据计算一个气溶胶颗粒可含48000拷贝，因而由 其造成的污染是一个值得特别重视的问题.<br />
(四)实验室中克隆质粒的污染:在分子生物学实验室及某些用克隆质粒做阳性对照的检验室，这个问题也比较常见。因为克隆质粒在单位容积内含量相当高，另外在纯化过程中需用较多的用具及试剂，而且在活细胞内的质粒，由于活细胞的生长繁殖的简便性及具有很强的生命力，其污染可能性也很大。<br />
污染的监测</p>
<p>一个好的实验室，要时刻注意污染的监测，考虑有无污染是什么原因造成的污染，以便采取措施，防止和消除污染。<br />
对照试验<br />
1.阳性对照:在建立PCR反应实验室及一般的检验单位都应设有PCR阳性对照，它是PCR反应是否成功、产物条带位置及大小是否合乎理论要求的一个重要的参考标志。阳性对照要选择扩增度中等、重复性好，经各种鉴定是该产物的标本，如以重组质粒为阳性对照，其含量宜低不宜高(100个拷贝以下)，但阳性对照尤其是重组质粒及高浓度阳性标本，其对检测或扩增样品污染的可能性很大。因而当某一PCR试剂经自己使用稳定，检验人员心中有数时，在以后的实验中可免设阳性对照。<br />
2.阴性对照:每次PCR实验务必做阴性对照。它包括①标本对照:被检的标本是血清就用鉴定后的正常血清作对照;被检的标本是组织细胞就用相应的组织细胞作对照。②试剂对照:在PCR试剂中不加模板DNA或RNA，进行PCR扩增，以监测试剂是否污染。<br />
3.重复性试验<br />
4.选择不同区域的引物进行PCR扩增<br />
<span>防止污染的方法</span><br />
<span>一． 污染的预防</span><br />
进行PCR操作时，操作人员应该严格遵守一些操作规程，最大程度地降低可能出现的PCR污染或杜绝污染的出现。<br />
（一）划分操作区：目前，普通PCR尚不能做到单人单管，实现完全闭管操作，但无论是否能够达到单人单管，均要求实验操作在三个不同的区域内进行，PCR的前处理和后处理要在不同的隔离区内进行：<br />
1. 标本处理区，包括扩增摸板的制备；<br />
2. PCR扩增区，包括反应液的配制和PCR扩增；<br />
3. 产物分析区，凝胶电泳分析，产物拍照及重组克隆的制备。<br />
各工作区要有一定的隔离，操作器材专用，要有一定的方向性。如：标本制备→PCR扩增→产物分析→产物处理。<br />
切记：产物分析区的产物及器材不要拿到其他两个工作区。<br />
（二）分装试剂：PCR扩增所需要的试剂均应在装有紫外灯的超净工作台或负压工作台配制和分装。所有的加样器和吸头需固定放于其中，不能用来吸取扩增后的DNA和其他来源的DNA：<br />
1． PCR用水应为高压的双蒸水；<br />
2． 引物和dNTP用高压的双蒸水在无PCR扩增产物区配制；<br />
3． 引物和dNTP应分装储存，分装时应标明时间，以备发生污染时查找原因。<br />
(三) 实验操作注意事项 尽管扩增序列的残留污染大部分是假阳性反应的原因，样品间的交叉污染也是原因之一。因此，不仅要在进行扩增反应是谨慎认真，在样品的收集、抽提和扩增的所有环节都应该注意：<br />
1. 戴一次性手套，若不小心溅上反应液，立即更换手套；<br />
2. 使用一次性吸头，严禁与PCR产物分析室的吸头混用，吸头不要长时间暴露于空气中，避免气溶胶的污染；<br />
3. 避免反应液飞溅，打开反应管时为避免此种情况，开盖前稍离心收集液体于管底。若不小心溅到手套或桌面上，应立刻更换手套并用稀酸擦拭桌面；<br />
4. 操作多份样品时，制备反应混合液，先将dNTP、缓冲液、引物和酶混合好，然后分装，这样即可以减少操作，避免污染，又可以增加反应的精确度；<br />
5. 最后加入反应模板，加入后盖紧反应管；<br />
6. 操作时设立阴阳性对照和空白对照，即可验证PCR反应的可靠性，又可以协助判断扩增系统的可信性；<br />
7. 尽可能用可替换或可高压处理的加样器，由于加样器最容易受产物气溶胶或标本DNA的污染，最好使用可替换或高压处理的加样器。如没有这种特殊的加样器，至少PCR操作过程中加样器应该专用，不能交叉使用，尤其是PCR产物分析所用加样器不能拿到其它两个区；<br />
8. 重复实验，验证结果，慎下结论。<br />
（四）选择质量好的Eppendorf管，以避免样本外溢及外来核酸的进入，打开离心管前应先离心，将管壁及管盖上的液体甩至管底部。开管动作要轻，以防管内液体溅出。</p>
<p><span>二． 追踪污染源</span><br />
如果不慎发生污染情况，应从下面几条出发，逐一分析，排除污染。<br />
（一）设立阴阳性对照：有利于监测反应体系各成分的污染情况。选择阳性对照时，应选择扩增弱，且重复性好的样品，因强阳性对照可产生大量不必要的扩增序列，反而可能成为潜在的污染源。如果以含靶序列的重组质粒为对照，100个拷贝之内的靶序列就足以产生阳性扩增。阴性对照的选择亦要慎重，因为PCR敏感性极高，可以从其它方法（Sourthern 印迹或点杂交等）检测阴性的标本中检测出极微量的靶分子。此外，每次扩增均应包括PCR体系中各试剂的时机对照，即包括PCR反应所需的全部成分，而不加模板DNA，这对监测试剂中PCR产物残留污染是非常有益的。如果扩增结果中试剂对照为阳性结果，就是某一种或数种试剂被污染了。此时，要全部更换一批新的试剂进行扩增，扩增时设立不同的反应管，每一管含有一种被检测试剂，在检出污染试剂后，应马上处理。<br />
（二）环境污染：在排除试剂污染的可能性外，更换试剂后，若不久又发现试剂被污染了，如果预防措施比较严密，则考虑可能为环境污染。<br />
环境污染中常见的污染源主要有：<br />
1. 模板提取时真空抽干装置；<br />
2. 凝胶电泳加样器；<br />
3. 电泳装置；<br />
4. 紫外分析仪；<br />
5. 切胶用刀或手术刀片；<br />
6. 离心机；<br />
7. 冰箱门把手，冷冻架，门把手或实验台面等；<br />
此时可用擦拭实验来查找可疑污染源。1）用无菌水浸泡过的灭菌棉签擦拭可疑污染源；2）0.1ml去离子水浸泡；3）取5ml做PCR实验；4）电泳检测结果。<br />
8. 气溶胶。如果经过上述追踪实验，仍不能查找到确切污染源，则污染可能是由空气中PCR产物的气溶胶造成的，此时就应该更换实验场所，若条件不允许，则重新设计新的引物（与原引物无相关性）。</p>
<p><span>三．污染处理</span><br />
（一）环境污染<br />
1. 稀酸处理法：对可疑器具用1mol/L盐酸擦拭或浸泡，使残余DNA脱嘌呤；<br />
2. 紫外照射（UV）法：紫外波长（nm）一般选择254/300nm，照射30min即可。需要注意的是，选择UV作为消除残留PCR产物污染时，要考虑PCR产物的长度与产物序列中碱基的分布，UV照射仅对500bp以上长片段有效，对短片段效果不大。UV照射时，PCR产物中嘧啶碱基会形成二聚体，这些二聚体可使延伸终止，但并不是DNA链中所有嘧啶均能形成二聚体，且UV照射还可使二聚体断裂。形成二聚体的程度取决于UV波长，嘧啶二聚体的类型及与二聚体位点相邻核苷酸的序列。在受照射的长DNA链上，形成二聚体缺陷的数量少于0.065/碱基，其他非二聚体的光照损伤（如环丁烷型嘧啶复合体，胸腺嘧啶乙二醇，DNA链间与链内的交联和DNA断裂等）均可终止Taq DNA聚合酶的延伸。这些位点的数量与二聚体位点相当。如果这些位点（0.13/碱基）在DNA分子上随机分布，一个500bp片段的DNA分子链上将有32处损伤位点，那么，105个这样的分子中每个分子中会至少有一处损伤。相反，如果100bp的片段，每条链上仅有6处损伤，105个拷贝分子中将有许多分子没有任何损伤。这就是UV照射有一定的片段长度限制的原因。<br />
（二）反应液污染<br />
可采用下列方法之一处理：<br />
1. DNase I法：PCR混合液（未加模板和Taq聚合酶）加入0.5U DNase I，室温反应30 min后加热灭活，然后加入模板和Taq聚合酶进行正常PCR扩增。该方法的优点是不需要知道污染DNA的序列；<br />
2. 内切酶法：选择识别4个碱基的内切酶（如Msp I和Taq I等），可同时选择几种，以克服用一种酶只能识别特定序列的缺陷，室温作用1h 后加热灭活进行PCR；<br />
3. 紫外照射法：未加模板和Taq聚合酶的PCR混合液进行紫外照射，注意事项与方法同上述UV照射法；<br />
4. g射线辐射法：1.5kGy的辐射可完全破坏0.1ng基因组DNA，2.0 kGy可破坏104拷贝的质粒分子，4.0 kGy仍不影响PCR，但高于此限度会使PCR扩增效率下降。引物可受照射而不影响PCR，g射线是通过水的离子化产生自由基来破坏DNA的。<br />
（三）尿嘧啶糖苷酶（UNG）法<br />
由于UV照射的去污染作用对500bp以下的片段效果不好，而临床用于检测的PCR扩增片段通常为300bp左右，因此UNG的预防作用日益受到重视和肯定。<br />
1. 原理：在PCR产物或引物中用dU 代替dT。这种dU化的PCR产物与UNG一起孵育，因UDG可裂解尿嘧啶碱基和糖磷酸骨架间的N-糖基键，可除去dU而阻止TaqDNA聚合酶的延伸，从而失去被再扩增的能力。UNG对不含dU的模板无任何影响。UNG可从单或双链DNA中消除尿嘧啶，而对RNA中的尿嘧啶和单一尿嘧啶分子则无任何作用。<br />
2. dUTP法：用dUTP代替dTTP，使产物中掺入大量dU。在再次进行PCR扩增前，用UNG处理PCR混合液即可消除PCR产物的残留污染。由于UNG在PCR循环中的变性一步便可被灭活，因此不会影响含dU的新的PCR产物。<br />
3. dU引物法：合成引物时以dU 代dT，这样PCR产物中仅5?@端带dU。UNG处理后，引物失去了结合位点而不能扩增。对长片段（1-2kb以上）的扩增用dUTP法效率较用dTTP低，而用dU法就可克服这一缺点。dU引物最好将dU设计在3?@端或近?@端。该法仅能用于引物以外试剂的处理。<br />
4. 优点：可以去除任何来源的污染；UNG处理可以和PCR扩增在同一个反应管内进行；由于扩增产物中有大量dU存在，可彻底消除污染源。<br />
5. 需注意的是掺入dUTP的DNA不应对产物的任何操作有影响，在进行PCR产物克隆时，应该转化UNG-（UNG缺陷）大肠杆菌受体菌，否则转化产物会被受体菌UNG消化掉。<br />
（四） 固相捕获法<br />
用于去除标本中污染的核酸和杂质，原理如下：1）用一生物素标记的单链RNA探针与待扩核酸杂交，杂交区域是非扩增区；2）用包被链霉亲和素的固相载体来捕获带有生物素探针的杂交核酸，通过漂洗可去除污染的扩增产物和杂质；3）洗脱靶分子后用特异引物扩增非RNA探针杂交区域。第2）步的漂洗后可用PCR检测以确定标本是否被扩增产物或重组质粒污染。<br />
（五）RS-PCR法（RNA-specific PCR）<br />
也称为链特异性PCR，主要指用于RNA模板的特异性PCR法，该法可明显降低假阳性而不影响PCR的敏感性。其关键在于设计引物，逆转录引物的3?@端（A区）有2 0个核苷酸左右为模板的特异性互不序列，5?@端2 0个核苷酸（C区）为附加修饰碱基。与mRNA逆转录后，经超速离心使 cDNA与多余引物分开，再用和第二引物（C）以第一链cDNA为模板合成第二链cDNA，以后的PCR循环中用逆转录引物的B区和引物C进行扩增加尾cDNA，而污染的DNA或质粒DNA才不会被扩增。<br />
（六）抗污染引物法<br />
该对引物扩增时通过病毒DNA克隆如入质粒的位点。这一区域只存在完整的原病毒中，在重组质粒中，这一区域分成两个区域与克隆位点被。如果重组质粒污染了标本，也不能扩增出任何条带，即使出现了扩增带，其大小也与预期的不同。只有原病毒DNA才能被引物扩增，因此只要出现预期大小的扩增带就可以证明标本是阳性的，该法试用于环状靶分子系列。</p>
]]></content:encoded>
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		<title>生物试验技巧之PCR常见问题分析</title>
		<link>http://www.91bio.com/biological-testing-techniques-of-pcr-analysis-of-frequently-asked-questions/</link>
		<comments>http://www.91bio.com/biological-testing-techniques-of-pcr-analysis-of-frequently-asked-questions/#comments</comments>
		<pubDate>Thu, 22 Dec 2011 12:00:36 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[生物实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645596</guid>
		<description><![CDATA[PCR产物的电泳检测时间一般为48h以内，有些最好于当日电泳检测，大于48h后带型不规则甚致消失。 假阴性，不出现扩增条带 PCR反应的关键环节有①模板核酸的制备，②引物的质量与特异性，③酶的质量及活性 ④PCR循环条件。寻找原因亦应针对上述环节进行分析研究。 模板：①模板中含有杂蛋白质，②模板中含有Taq酶抑制剂，③模板中蛋白质没有消化除净，特别是染色体中的组蛋白，④在提取制备模板时丢失过多，或吸入酚。⑤模板核酸变性不彻底。在酶和引物质量好时，不出现扩增带，极有可能是标本的消化处理，模板核酸提取过程出了毛病，因而要配制有效而稳定的消化处理液，其程序亦应固定不宜随意更改。 酶失活：需更换新酶，或新旧两种酶同时使用，以分析是否因酶的活性丧失或不够而导致假阴性。需注意的是有时忘加Taq酶或溴乙锭。 引物：引物质量、引物的浓度、两条引物的浓度是否对称，是PCR失败或扩增条带不理想、容易弥散的常见原因。有些批号的引物合成质量有问题，两条引物一条浓度高，一条浓度低，造成低效率的不对称扩增，对策为：①选定一个好的引物合成单位。②引物的浓度不仅要看OD值，更要注重引物原液做琼脂糖凝胶电泳，一定要有引物条带出现，而且两引物带的亮度应大体一致，如一条引物有条带，一条引物无条带，此时做PCR有可能失败，应和引物合成单位协商解决。如一条引物亮度高，一条亮度低，在稀释引物时要平衡其浓度。③引物应高浓度小量分装保存，防止多次冻融或长期放冰箱冷藏部分，导致引物变质降解失效。④引物设计不合理，如引物长度不 够，引物之间形成二聚体等。 Mg2+浓度：Mg2+离子浓度对PCR扩增效率影响很大，浓度过高可降低PCR扩增的特异性，浓度过低则影响PCR扩增产量甚至使PCR扩增失败而不出扩增条带。 反应体积的改变：通常进行PCR扩增采用的体积为20ul、30ul、50ul。或100ul，应用多大体积进行PCR扩增，是根据科研和临床检测不同目的而设定，在做小体积如20ul后，再做大体积时，一定要模索条件，否则容易失败。 物理原因：变性对PCR扩增来说相当重要，如变性温度低，变性时间短，极有可能出现假阴性;退火温度过低，可致非特异性扩增而降低特异性扩增效率退火温度过高影响引物与模板的结合而降低PCR扩增效率。有时还有必要用标准的温度计，检测一下扩增仪或水溶锅内的变性、退火和延伸温度，这也是PCR失败的原因之一。 靶序列变异：如靶序列发生突变或缺失，影响引物与模板特异性结合，或因靶序列某段缺失使引物与模板失去互补序列，其PCR扩增是不会成功的。 假阳性 出现的PCR扩增条带与目的靶序列条带一致，有时其条带更整齐，亮度更高。 引物设计不合适：选择的扩增序列与非目的扩增序列有同源性，因而在进行PCR扩增时，扩增出的PCR产物为非目的性的序列。靶序列太短或引物太短，容易出现假阳性。需重新设计引物。 靶序列或扩增产物的交叉污染：这种污染有两种原因：一是整个基因组或大片段的交叉污染，导致假阳性。这种假阳性可用以下方法解决：①操作时应小心轻柔，防止将靶序列吸入加样枪内或溅出离心管外。②除酶及不能耐高温的物质外，所有试剂或 器材均应高压消毒。所用离心管及样进枪头等均应一次性使用。③必要时，在加标本前，反应管和试剂用紫外线照射，以破坏存在的核酸。二是空气中的小片段核酸污染，这些小片段比靶序列短，但有一定的同源性。可互相拼接，与引物互补后，可扩增出PCR产物，而导致假阳性的产生，可用巢式PCR方法来减轻或消除。 出现非特异性扩增带 PCR扩增后出现的条带与预计的大小不一致，或大或小，或者同时出现特异性扩增带与非特异性扩增带。非特异性条带的出现，其原因：一是引物与靶序列不完全互补、或引物聚合形成二聚体。二是Mg2+离子浓度过高、退火温度过低，及PCR循环次数过多有关。其次是酶的质和量，往往一些来源的酶易出现非特异条带而另一来源的酶则不出现，酶量过多有时也会出现非特异性扩增。其对策有：①必要时重新设计引物。②减低酶量或调换另一来源的酶。③降低引物量，适当增加模板量，减少循环次数。④适当提高退火温度或采用二温度点法(93℃变性，65℃左右退火与延伸)。 出现片状拖带或涂抹带 PCR扩增有时出现涂抹带或片状带或地毯样带。其原因往往由于酶量过多或酶的质量差，dNTP浓度过高，Mg2+浓度过高，退火温度过低，循环次数过多引起。其对策有：①减少酶量，或调换另一来源的酶。②减少dNTP的浓度。③适当降低Mg2+浓度。④增加模板量，减少循环次数。]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="2" src="http://www.bjgbzlw.com/up_files/p062702.jpg" alt="" width="260" height="174" /></p>
<p>PCR产物的电泳检测时间一般为48h以内，有些最好于当日电泳检测，大于48h后带型不规则甚致消失。<br />
<span>假阴性，不出现扩增条带</span><br />
PCR反应的关键环节有①模板核酸的制备，②引物的质量与特异性，③酶的质量及活性 ④PCR循环条件。寻找原因亦应针对上述环节进行分析研究。<br />
模板：①模板中含有杂蛋白质，②模板中含有Taq酶抑制剂，③模板中蛋白质没有消化除净，特别是染色体中的组蛋白，④在提取制备模板时丢失过多，或吸入酚。⑤模板核酸变性不彻底。在酶和引物质量好时，不出现扩增带，极有可能是标本的消化处理，模板核酸提取过程出了毛病，因而要配制有效而稳定的消化处理液，其程序亦应固定不宜随意更改。<br />
酶失活：需更换新酶，或新旧两种酶同时使用，以分析是否因酶的活性丧失或不够而导致假阴性。需注意的是有时忘加Taq酶或溴乙锭。<br />
引物：引物质量、引物的浓度、两条引物的浓度是否对称，是PCR失败或扩增条带不理想、容易弥散的常见原因。有些批号的引物合成质量有问题，两条引物一条浓度高，一条浓度低，造成低效率的不对称扩增，对策为：①选定一个好的引物合成单位。②引物的浓度不仅要看OD值，更要注重引物原液做琼脂糖凝胶电泳，一定要有引物条带出现，而且两引物带的亮度应大体一致，如一条引物有条带，一条引物无条带，此时做PCR有可能失败，应和引物合成单位协商解决。如一条引物亮度高，一条亮度低，在稀释引物时要平衡其浓度。③引物应高浓度小量分装保存，防止多次冻融或长期放冰箱冷藏部分，导致引物变质降解失效。④引物设计不合理，如引物长度不 够，引物之间形成二聚体等。<br />
Mg2+浓度：Mg2+离子浓度对PCR扩增效率影响很大，浓度过高可降低PCR扩增的特异性，浓度过低则影响PCR扩增产量甚至使PCR扩增失败而不出扩增条带。<br />
反应体积的改变：通常进行PCR扩增采用的体积为20ul、30ul、50ul。或100ul，应用多大体积进行PCR扩增，是根据科研和临床检测不同目的而设定，在做小体积如20ul后，再做大体积时，一定要模索条件，否则容易失败。<br />
物理原因：变性对PCR扩增来说相当重要，如变性温度低，变性时间短，极有可能出现假阴性;退火温度过低，可致非特异性扩增而降低特异性扩增效率退火温度过高影响引物与模板的结合而降低PCR扩增效率。有时还有必要用标准的温度计，检测一下扩增仪或水溶锅内的变性、退火和延伸温度，这也是PCR失败的原因之一。<br />
靶序列变异：如靶序列发生突变或缺失，影响引物与模板特异性结合，或因靶序列某段缺失使引物与模板失去互补序列，其PCR扩增是不会成功的。<br />
假阳性<br />
出现的PCR扩增条带与目的靶序列条带一致，有时其条带更整齐，亮度更高。<br />
引物设计不合适：选择的扩增序列与非目的扩增序列有同源性，因而在进行PCR扩增时，扩增出的PCR产物为非目的性的序列。靶序列太短或引物太短，容易出现假阳性。需重新设计引物。<br />
靶序列或扩增产物的交叉污染：这种污染有两种原因：一是整个基因组或大片段的交叉污染，导致假阳性。这种假阳性可用以下方法解决：①操作时应小心轻柔，防止将靶序列吸入加样枪内或溅出离心管外。②除酶及不能耐高温的物质外，所有试剂或 器材均应高压消毒。所用离心管及样进枪头等均应一次性使用。③必要时，在加标本前，反应管和试剂用紫外线照射，以破坏存在的核酸。二是空气中的小片段核酸污染，这些小片段比靶序列短，但有一定的同源性。可互相拼接，与引物互补后，可扩增出PCR产物，而导致假阳性的产生，可用巢式PCR方法来减轻或消除。<br />
<span>出现非特异性扩增带</span><br />
PCR扩增后出现的条带与预计的大小不一致，或大或小，或者同时出现特异性扩增带与非特异性扩增带。非特异性条带的出现，其原因：一是引物与靶序列不完全互补、或引物聚合形成二聚体。二是Mg2+离子浓度过高、退火温度过低，及PCR循环次数过多有关。其次是酶的质和量，往往一些来源的酶易出现非特异条带而另一来源的酶则不出现，酶量过多有时也会出现非特异性扩增。其对策有：①必要时重新设计引物。②减低酶量或调换另一来源的酶。③降低引物量，适当增加模板量，减少循环次数。④适当提高退火温度或采用二温度点法(93℃变性，65℃左右退火与延伸)。<br />
<span>出现片状拖带或涂抹带</span><br />
PCR扩增有时出现涂抹带或片状带或地毯样带。其原因往往由于酶量过多或酶的质量差，dNTP浓度过高，Mg2+浓度过高，退火温度过低，循环次数过多引起。其对策有：①减少酶量，或调换另一来源的酶。②减少dNTP的浓度。③适当降低Mg2+浓度。④增加模板量，减少循环次数。</p>
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		<title>关于PCR您要知道的</title>
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		<pubDate>Thu, 22 Dec 2011 11:57:58 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[分子生物]]></category>

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		<description><![CDATA[PCR技术概论 聚合酶链反应(Polymerase Chain Reaction ,PCR)是80年代中期发展起来的体外核酸扩增技术。它具有特异、敏感、产率高、快速、简便、重复性好、易自动化等突出优点；能在一个试管内将所要研究的目的基因或某一DN***段于数小时内扩增至十万乃至百万倍,使肉眼能直接观察和判断；可从一根毛发、一滴血、甚至一个细胞中扩增出足量的DNA供分析研究和检测鉴定。过去几天几星期才能做到的事情，用PCR几小时便可完成。PCR技术是生物医学领域中的一项***性创举和里程碑。 PCR技术简史  PCR的最早设想 核酸研究已有100多年的历史，本世纪60年代末、70年代初人们致力于研究基因的体外分离技术，Korana于1971年最早提出核酸体外扩增的设想：“经过DNA变性，与合适的引物杂交，用DNA聚合酶延伸引物，并不断重复该过程便可克隆tRNA基因”。 PCR的实现 1985年美国PE-Cetus公司人类遗传研究室的Mullis等发明了具有划时代意义的聚合酶链反应。其原理类似于DNA的体内复制，只是在试管中给DNA的体外合成提供以致一种合适的条件&#8212;摸板DNA，寡核苷酸引物，DNA聚合酶，合适的缓冲体系，DNA变性、复性及延伸的温度与时间。 PCR的改进与完善　Mullis最初使用的DNA聚合酶是大肠杆菌DNA聚合酶I的Klenow片段，其缺点是：①Klenow酶不耐高温，90℃会变性失活，每次循环都要重新加。②引物链延伸反应在37℃下进行，容易发生模板和引物之间的碱基错配，其PCR产物特异性较差，合成的DN***段不均一。此种以Klenow酶催化的PCR技术虽较传统的基因扩增具备许多突出的优点，但由于Klenow酶不耐热，在DNA模板进行热变性时，会导致此酶钝化，每加入一次酶只能完成一个扩增反应周期，给PCR技术操作程序添了不少困难。这使得PCR技术在一段时间内没能引起生物医学界的足够重视。1988年初，Keohanog改用T4 DNA聚合酶进行PCR，其扩增的DN***段很均一，真实性也较高，只有所期望的一种DN***段。但每循环一次，仍需加入新酶。1988年Saiki 等从温泉中分离的一株水生嗜热杆菌(thermus aquaticus) 中提取到一种耐热DNA聚合酶。此酶具有以下特点：①耐高温，在70℃下反应2h后其残留活性大于原来的90%，在93℃下反应2h后其残留活性是原来的60%，在95℃下反应2h后其残留活性是原来的40%。②在热变性时不会被钝化，不必在每次扩增反应后再加新酶。③大大提高了扩增片段特异性和扩增效率，增加了扩增长度(2.0Kb)。由于提高了扩增的特异性和效率，因而其灵敏性也大大提高。为与大肠杆菌多聚酶I Klenow片段区别，将此酶命名为Taq DNA多聚酶(Taq DNA Polymerase)。此酶的发现使PCR广泛的被应用。 PCR技术基本原理 PCR技术的基本原理　类似于DNA的天然复制过程，其特异性依赖于与靶序列两端互补的寡核苷酸引物。PCR由变性&#8211;退火&#8211;延伸三个基本反应步骤构成：①模板DNA的变性：模板DNA经加热至93℃左右一定时间后，使模板DNA双链或经PCR扩增形成的双链DNA解离，使之成为单链，以便它与引物结合，为下轮反应作准备；②模板DNA与引物的退火(复性)：模板DNA经加热变性成单链后，温度降至55℃左右，引物与模板DNA单链的互补序列配对结合；③引物的延伸：DNA模板&#8211;引物结合物在TaqDNA聚合酶的作用下，以dNTP为反应原料，靶序列为模板，按碱基配对与半保留复制原理，合成一条新的与模板DNA 链互补的半保留复制链重复循环变性&#8211;退火&#8211;延伸三过程，就可获得更多的“半保留复制链”，而且这种新链又可成为下次循环的模板。每完成一个循环需2～4分钟，2～3小时就能将待扩目的基因扩增放大几百万倍。到达平台期(Plateau)所需循环次数取决于样品中模板的拷贝。 PCR的反应动力学　 PCR的三个反应步骤反复进行，使DNA扩增量呈指数上升。反应最终的DNA 扩增量可用Y＝(1＋X)n计算。Y代表DN***段扩增后的拷贝数，X表示平(Y)均每次的扩增效率，n代表循环次数。平均扩增效率的理论值为100%，但在实际反应中平均效率达不到理论值。反应初期，靶序列DN***段的增加呈指数形式，随着PCR产物的逐渐积累，被扩增的DN***段不再呈指数增加，而进入线性增长期或静止期，即出现“停滞效应”，这种效应称平台期数、PCR扩增效率及DNA聚合酶PCR的种类和活性及非特异性产物的竟争等因素。大多数情况下，平台期的到来是不可避免的。 PCR扩增产物 　可分为长产物片段和短产物片段两部分。短产物片段的长度严格地限定在两个引物链5’端之间，是需要扩增的特定片段。短产物片段和长产物片段是由于引物所结合的模板不一样而形成的，以一个原始模板为例，在第一个反应周期中，以两条互补的DNA为模板，引物是从3’端开始延伸，其5’端是固定的，3’端则没有固定的止点，长短不一，这就是“长产物片段”。进入第二周期后，引物除与原始模板结合外，还要同新合成的链(即“长产物片段”)结合。引物在与新链结合时，由于新链模板的5’端序列是固定的，这就等于这次延伸的片段3’端被固定了止点，保证了新片段的起点和止点都限定于引物扩增序列以内、形成长短一致的“短产物片段”。不难看出“短产物片段”是按指数倍数增加，而“长产物片段”则以算术倍数增加，几乎可以忽略不计， 这使得PCR的反应产物不需要再纯化，就能保证足够纯DN***段供分析与检测用。 PCR反应体系与反应条件 标准的PCR反应体系： 10×扩增缓冲液 　 10ul 4种dNTP混合物 　 各200umol/L 引物 　　　　 　 各10～100pmol 模板DNA 　　　 　 0.1～2ug Taq DNA聚合酶 　 2.5u Mg2+　　　　　　 1.5mmol/L 加双或三蒸水至 　 100ul PCR反应五要素： 参加PCR反应的物质主要有五种即引物、酶、dNTP、模板和Mg2+ 引物： 引物是PCR特异性反应的关键，PCR [...]]]></description>
			<content:encoded><![CDATA[<p><span>PCR技术概论</span></p>
<p><img class="aligncenter" title="pcr" src="http://file.qlteacher.com/upload/gz2010/images/1007/29/092918577.gif" alt="" width="448" height="354" /><br />
聚合酶链反应(Polymerase Chain Reaction ,PCR)是80年代中期发展起来的体外核酸扩增技术。它具有特异、敏感、产率高、快速、简便、重复性好、易自动化等突出优点；能在一个试管内将所要研究的目的基因或某一DN***段于数小时内扩增至十万乃至百万倍,使肉眼能直接观察和判断；可从一根毛发、一滴血、甚至一个细胞中扩增出足量的DNA供分析研究和检测鉴定。过去几天几星期才能做到的事情，用PCR几小时便可完成。PCR技术是生物医学领域中的一项***性创举和里程碑。<br />
<span>PCR技术简史 </span><br />
PCR的最早设想 核酸研究已有100多年的历史，本世纪60年代末、70年代初人们致力于研究基因的体外分离技术，Korana于1971年最早提出核酸体外扩增的设想：“经过DNA变性，与合适的引物杂交，用DNA聚合酶延伸引物，并不断重复该过程便可克隆tRNA基因”。<br />
<span>PCR的实现</span> 1985年美国PE-Cetus公司人类遗传研究室的Mullis等发明了具有划时代意义的聚合酶链反应。其原理类似于DNA的体内复制，只是在试管中给DNA的体外合成提供以致一种合适的条件&#8212;摸板DNA，寡核苷酸引物，DNA聚合酶，合适的缓冲体系，DNA变性、复性及延伸的温度与时间。<br />
<span>PCR的改进与完善</span>　Mullis最初使用的DNA聚合酶是大肠杆菌DNA聚合酶I的Klenow片段，其缺点是：①Klenow酶不耐高温，90℃会变性失活，每次循环都要重新加。②引物链延伸反应在37℃下进行，容易发生模板和引物之间的碱基错配，其PCR产物特异性较差，合成的DN***段不均一。此种以Klenow酶催化的PCR技术虽较传统的基因扩增具备许多突出的优点，但由于Klenow酶不耐热，在DNA模板进行热变性时，会导致此酶钝化，每加入一次酶只能完成一个扩增反应周期，给PCR技术操作程序添了不少困难。这使得PCR技术在一段时间内没能引起生物医学界的足够重视。1988年初，Keohanog改用T4 DNA聚合酶进行PCR，其扩增的DN***段很均一，真实性也较高，只有所期望的一种DN***段。但每循环一次，仍需加入新酶。1988年Saiki 等从温泉中分离的一株水生嗜热杆菌(thermus aquaticus) 中提取到一种耐热DNA聚合酶。此酶具有以下特点：①耐高温，在70℃下反应2h后其残留活性大于原来的90%，在93℃下反应2h后其残留活性是原来的60%，在95℃下反应2h后其残留活性是原来的40%。②在热变性时不会被钝化，不必在每次扩增反应后再加新酶。③大大提高了扩增片段特异性和扩增效率，增加了扩增长度(2.0Kb)。由于提高了扩增的特异性和效率，因而其灵敏性也大大提高。为与大肠杆菌多聚酶I Klenow片段区别，将此酶命名为Taq DNA多聚酶(Taq DNA Polymerase)。此酶的发现使PCR广泛的被应用。<br />
<span>PCR技术基本原理</span><br />
PCR技术的基本原理　类似于DNA的天然复制过程，其特异性依赖于与靶序列两端互补的寡核苷酸引物。PCR由变性&#8211;退火&#8211;延伸三个基本反应步骤构成：①模板DNA的变性：模板DNA经加热至93℃左右一定时间后，使模板DNA双链或经PCR扩增形成的双链DNA解离，使之成为单链，以便它与引物结合，为下轮反应作准备；②模板DNA与引物的退火(复性)：模板DNA经加热变性成单链后，温度降至55℃左右，引物与模板DNA单链的互补序列配对结合；③引物的延伸：DNA模板&#8211;引物结合物在TaqDNA聚合酶的作用下，以dNTP为反应原料，靶序列为模板，按碱基配对与半保留复制原理，合成一条新的与模板DNA 链互补的半保留复制链重复循环变性&#8211;退火&#8211;延伸三过程，就可获得更多的“半保留复制链”，而且这种新链又可成为下次循环的模板。每完成一个循环需2～4分钟，2～3小时就能将待扩目的基因扩增放大几百万倍。到达平台期(Plateau)所需循环次数取决于样品中模板的拷贝。<br />
<span>PCR的反应动力学</span>　 PCR的三个反应步骤反复进行，使DNA扩增量呈指数上升。反应最终的DNA 扩增量可用Y＝(1＋X)n计算。Y代表DN***段扩增后的拷贝数，X表示平(Y)均每次的扩增效率，n代表循环次数。平均扩增效率的理论值为100%，但在实际反应中平均效率达不到理论值。反应初期，靶序列DN***段的增加呈指数形式，随着PCR产物的逐渐积累，被扩增的DN***段不再呈指数增加，而进入线性增长期或静止期，即出现“停滞效应”，这种效应称平台期数、PCR扩增效率及DNA聚合酶PCR的种类和活性及非特异性产物的竟争等因素。大多数情况下，平台期的到来是不可避免的。<br />
<span>PCR扩增产物</span> 　可分为长产物片段和短产物片段两部分。短产物片段的长度严格地限定在两个引物链5’端之间，是需要扩增的特定片段。短产物片段和长产物片段是由于引物所结合的模板不一样而形成的，以一个原始模板为例，在第一个反应周期中，以两条互补的DNA为模板，引物是从3’端开始延伸，其5’端是固定的，3’端则没有固定的止点，长短不一，这就是“长产物片段”。进入第二周期后，引物除与原始模板结合外，还要同新合成的链(即“长产物片段”)结合。引物在与新链结合时，由于新链模板的5’端序列是固定的，这就等于这次延伸的片段3’端被固定了止点，保证了新片段的起点和止点都限定于引物扩增序列以内、形成长短一致的“短产物片段”。不难看出“短产物片段”是按指数倍数增加，而“长产物片段”则以算术倍数增加，几乎可以忽略不计， 这使得PCR的反应产物不需要再纯化，就能保证足够纯DN***段供分析与检测用。</p>
<p><span>PCR反应体系与反应条件</span><br />
标准的PCR反应体系：<br />
10×扩增缓冲液 　 10ul<br />
4种dNTP混合物 　 各200umol/L<br />
引物 　　　　 　 各10～100pmol<br />
模板DNA 　　　 　 0.1～2ug<br />
Taq DNA聚合酶 　 2.5u<br />
Mg2+　　　　　　 1.5mmol/L<br />
加双或三蒸水至 　 100ul<br />
<span>PCR反应五要素</span>： 参加PCR反应的物质主要有五种即引物、酶、dNTP、模板和Mg2+<br />
引物： 引物是PCR特异性反应的关键，PCR 产物的特异性取决于引物与模板DNA互补的程度。理论上，只要知道任何一段模板DNA序列，就能按其设计互补的寡核苷酸链做引物，利用PCR就可将模板DNA在体外大量扩增。<br />
设计引物应遵循以下原则：<br />
①引物长度： 15-30bp，常用为20bp左右。<br />
②引物扩增跨度： 以200-500bp为宜，特定条件下可扩增长至10kb的片段。<br />
③引物碱基：G+C含量以40-60%为宜，G+C太少扩增效果不佳，G+C过多易出现非特异条带。ATGC最好随机分布，避免5个以上的嘌呤或嘧啶核苷酸的成串排列。<br />
④避免引物内部出现二级结构，避免两条引物间互补，特别是3’端的互补，否则会形成引物二聚体，产生非特异的扩增条带。<br />
⑤引物3’端的碱基，特别是最末及倒数第二个碱基，应严格要求配对，以避免因末端碱基不配对而导致PCR失败。<br />
⑥引物中有或能加上合适的酶切位点，被扩增的靶序列最好有适宜的酶切位点，这对酶切分析或分子克隆很有好处。<br />
⑦引物的特异性：引物应与核酸序列数据库的其它序列无明显同源性。</p>
<p>引物量： 每条引物的浓度0.1～1umol或10～100pmol，以最低引物量产生所需要的结果为好，引物浓度偏高会引起错配和非特异性扩增，且可增加引物之间形成二聚体的机会。<br />
酶及其浓度　目前有两种Taq DNA聚合酶供应， 一种是从栖热水生杆菌中提纯的天然酶，另一种为大肠菌合成的基因工程酶。催化一典型的PCR反应约需酶量2.5U(指总反应体积为100ul时)，浓度过高可引起非特异性扩增，浓度过低则合成产物量减少。<br />
dNTP的质量与浓度　dNTP的质量与浓度和PCR扩增效率有密切关系，dNTP粉呈颗粒状，如保存不当易变性失去生物学活性。dNTP溶液呈酸性，使用时应配成高浓度后，以1M NaOH或1M Tris。HCL的缓冲液将其PH调节到7.0～7.5，小量分装， -20℃冰冻保存。多次冻融会使dNTP降解。在PCR反应中，dNTP应为50～200umol/L，尤其是注意4种dNTP的浓度要相等( 等摩尔配制)，如其中任何一种浓度不同于其它几种时(偏高或偏低)，就会引起错配。浓度过低又会降低PCR产物的产量。dNTP能与Mg2+结合，使游离的Mg2+浓度降低。<br />
模板(靶基因)核酸　模板核酸的量与纯化程度，是PCR成败与否的关键环节之一，传统的DNA纯化方法通常采用SDS和蛋白酶K来消化处理标本。SDS的主要功能是： 溶解细胞膜上的脂类与蛋白质，因而溶解膜蛋白而破坏细胞膜，并解离细胞中的核蛋白，SDS 还能与蛋白质结合而沉淀；蛋白酶K能水解消化蛋白质，特别是与DNA结合的组蛋白，再用有机溶剂酚与氯仿抽提掉蛋白质和其它细胞组份，用乙醇或异丙醇沉淀核酸。提取的核酸即可作为模板用于PCR反应。一般临床检测标本，可采用快速简便的方法溶解细胞，裂解病原体，消化除去染色体的蛋白质使靶基因游离，直接用于PCR扩增。RNA模板提取一般采用异硫氰酸胍或蛋白酶K法，要防止RNase降解RNA。<br />
Mg2+浓度　Mg2+对PCR扩增的特异性和产量有显著的影响，在一般的PCR反应中，各种dNTP浓度为200umol/L时，Mg2+浓度为1.5～2.0mmol/L为宜。Mg2+浓度过高，反应特异性降低，出现非特异扩增，浓度过低会降低Taq DNA聚合酶的活性，使反应产物减少。<br />
PCR反应条件的选择<br />
PCR反应条件为温度、时间和循环次数。<br />
温度与时间的设置： 基于PCR原理三步骤而设置变性-退火-延伸三个温度点。在标准反应中采用三温度点法，双链DNA在90～95℃变性，再迅速冷却至40 ～60℃，引物退火并结合到靶序列上，然后快速升温至70～75℃，在Taq DNA 聚合酶的作用下，使引物链沿模板延伸。对于较短靶基因(长度为100～300bp时)可采用二温度点法， 除变性温度外、退火与延伸温度可合二为一，一般采用94℃变性，65℃左右退火与延伸(此温度Taq DNA酶仍有较高的催化活性)。<br />
①变性温度与时间：变性温度低，解链不完全是导致PCR失败的最主要原因。一般情况下，93℃～94℃lmin足以使模板DNA变性，若低于93℃则需延长时间，但温度不能过高，因为高温环境对酶的活性有影响。此步若不能使靶基因模板或PCR产物完全变性，就会导致PCR失败。<br />
②退火(复性)温度与时间：退火温度是影响PCR特异性的较重要因素。变性后温度快速冷却至40℃～60℃，可使引物和模板发生结合。由于模板DNA 比引物复杂得多，引物和模板之间的碰撞结合机会远远高于模板互补链之间的碰撞。退火温度与时间，取决于引物的长度、碱基组成及其浓度，还有靶基序列的长度。对于20个核苷酸，G+C含量约50%的引物，55℃为选择最适退火温度的起点较为理想。引物的复性温度可通过以下公式帮助选择合适的温度：<br />
Tm值(解链温度)=4(G+C)＋2(A+T)<br />
复性温度=Tm值-(5～10℃)<br />
在Tm值允许范围内， 选择较高的复性温度可大大减少引物和模板间的非特异性结合，提高PCR反应的特异性。复性时间一般为30～60sec，足以使引物与模板之间完全结合。<br />
③延伸温度与时间：Taq DNA聚合酶的生物学活性：<br />
70～80℃ 150核苷酸/S/酶分子<br />
70℃ 60核苷酸/S/酶分子<br />
55℃ 24核苷酸/S/酶分子<br />
高于90℃时， DNA合成几乎不能进行。</p>
<p>PCR反应的延伸温度一般选择在70～75℃之间，常用温度为72℃，过高的延伸温度不利于引物和模板的结合。PCR延伸反应的时间，可根据待扩增片段的长度而定，一般1Kb以内的DN***段，延伸时间1min是足够 的。3～4kb的靶序列需3～4min；扩增10Kb需延伸至15min。延伸进间过长会导致非特异性扩增带的出现。对低浓度模板的扩增，延伸时间要稍长些。<br />
循环次数　　循环次数决定PCR扩增程度。PCR循环次数主要取决于模板DNA的浓度。一般的循环次数选在30～40次之间，循环次数越多，非特异性产物的量亦随之增多。<br />
<span>PCR反应特点</span><br />
特异性强 PCR反应的特异性决定因素为：<br />
①引物与模板DNA特异正确的结合；<br />
②碱基配对原则；<br />
③Taq DNA聚合酶合成反应的忠实性；<br />
④靶基因的特异性与保守性。<br />
其中引物与模板的正确结合是关键。引物与模板的结合及引物链的延伸是遵循碱基配对原则的。聚合酶合成反应的忠实性及Taq DNA聚合酶耐高温性，使反应中模板与引物的结合(复性)可以在较高的温度下进行，结合的特异性大大增加，被扩增的靶基因片段也就能保持很高的正确度。再通过选择特异性和保守性高的靶基因区，其特异性程度就更高。<br />
灵敏度高 PCR产物的生成量是以指数方式增加的，能将皮克(pg=10-12g)量级的起始待测模板扩增到微克(ug=10-6g)水平。能从100万个细胞中检出一个靶细胞；在病毒的检测中，PCR的灵敏度可达3个RFU(空斑形成单位)；在细菌学中最小检出率为3个细菌。<br />
简便、快速 PCR反应用耐高温的Taq DNA聚合酶，一次性地将反应液加好后，即在DNA扩增液和水浴锅上进行变性-退火-延伸反应，一般在2～4 小时完成扩增反应。扩增产物一般用电泳分析，不一定要用同位素，无放射性污染、易推广。<br />
对标本的纯度要求低 不需要分离病毒或细菌及培养细胞，DNA 粗制品及总RNA均可作为扩增模板。可直接用临床标本如血液、体腔液、洗嗽液、毛发、细胞、活组织等粗制的DNA扩增检测。<br />
<span>PCR扩增产物分析</span><br />
PCR产物是否为特异性扩增 ，其结果是否准确可靠，必须对其进行严格的分析与鉴定，才能得出正确的结论。PCR产物的分析，可依据研究对象和目的不同而采用不同的分析方法。<br />
凝胶电泳分析：PCR产物电泳，EB溴乙锭染色紫外仪下观察，初步判断产物的特异性。PCR产物片段的大小应与预计的一致，特别是多重PCR，应用多对引物，其产物片断都应符合预讦的大小，这是起码条件。<br />
琼脂糖凝胶电泳： 通常应用1～2%的琼脂糖凝胶，供检测用。<br />
聚丙烯酰胺凝胶电泳：6～10%聚丙烯酰胺凝胶电泳分离效果比琼脂糖好，条带比较集中，可用于科研及检测分析。<br />
酶切分析：根据PCR产物中限制性内切酶的位点，用相应的酶切、电泳分离后，获得符合理论的片段，此法既能进行产物的鉴定，又能对靶基因分型，还能进行变异性研究。<br />
分子杂交：分子杂交是检测PCR产物特异性的有力证据，也是检测PCR 产物碱基突变的有效方法。<br />
Southern印迹杂交： 在两引物之间另合成一条寡核苷酸链(内部寡核苷酸)标记后做探针，与PCR产物杂交。此法既可作特异性鉴定，又可以提高检测PCR产物的灵敏度，还可知其分子量及条带形状，主要用于科研。<br />
斑点杂交： 将PCR产物点在硝酸纤维素膜或尼膜薄膜上，再用内部寡核苷酸探针杂交，观察有无着色斑点，主要用于PCR产物特异性鉴定及变异分析。<br />
核酸序列分析：是检测PCR产物特异性的最可靠方法。</p>
]]></content:encoded>
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		<title>小技巧提高论文出刊率</title>
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		<pubDate>Thu, 22 Dec 2011 07:31:32 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
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		<category><![CDATA[生物实验技巧]]></category>

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		<description><![CDATA[找生物转载分享自创新医学网http://www.yixue360.com/StaticPage/S147/11121596441030.html “为什么我的论文迟迟不能发表，我都按照编辑的要求修改三次了”。医生在投稿时常常会有这样的抱怨，现在创新医学网资深专家为大家总结出几条提高论文刊出率的经验，希望大家在以后论文写作中能够少走弯路、一投即发，下面小编就与您分享这些宝贵的投稿意见： 第一，论文应符合期刊的办刊宗旨 每种期刊都有自己的办刊宗旨和读者对象，只有及时刊出符合办刊宗旨、又满足读者需求的文章，才能不断提升期刊质量。所以在投稿时选择合适的期刊非常重要，但是作者有很难对期刊特性有很好的把握，创新医学网的资深编辑会根据论文内容及晋升政策为您推荐合适您论文发表的期刊杂志。 第二，科学性、创新性是论文的核心 学术期刊关注的是论文的科学性、先进性和创新性。这就要求论文中采用的资料真实可靠，实验数据准确无误，要进行统计学处理，具有可重复性。但从来稿中发现不足之处在于： (1)缺少创新性：科学的本质是不断创新，是推动医学科学发展的原动力，也是评价论文的重要标志。所谓创新，就是要求在观念、理论、技术和方法上有经得起实践检验的新见解。因此，选题时就应根据自己研究的成果，结合文献检索，从中找出创新点。就一篇论文而言，不可能所有内容都创新，只有一点改进、弥补了一个缺陷或提出一个新见解，就是创新。创新不断积累，就促进医学科学不断进步。低水平的重复，是撰写论文的大忌!讨论是论文的精华部分，作者可利用这个平台，就临床资料，特别是创新，展示精辟的论述以加深读者对论文实质的认识，利于交流和传播。如泛泛而言，论文变成文献综述，读者看起来就会索然无味，再好的临床研究，其价值也会大打折扣，应引以为戒! (2) 科研设计缺乏规范性：不论实验研究，还是临床研究，其科研设计必须规范、客观，能说明该研究课题的样本数。有的作者为提高其治疗方法的治愈率，有选择的进行病例统计、总结，失去了真实性。有的前瞻性研究文章，只有观察组，没有对照组，其治疗结果，难以令人信服，自然就不能刊出。 (3)诊断依据不足、随访时间太短或时间跨度太大：临床研究论文一定要有明确地诊断。有的论文诊断依据不足，缺少必要的鉴别诊断，其真实性、科学性大打折扣。 (4)病例数不一致，缺乏统计学处理：有的送审论文题目所写的病例数和正文中不一致，有的图表中各组例数相加与总数不一致。其原因多半是一时粗心、疏忽，但个别作者也难逃东拼西凑之嫌! 有的论文数据未行统计学处理(显著性检验)或仅计算百分率(相对数)，难以分析各组数据之间的差异。论文中的统计学处理，必须注明何种统计学软件、检验方法，结论性指标要写出具体的检验值，如 t值、x2值、Q值等，最后列出P值。 第三，结构严谨、文字流畅是论文的基础 审读论文，既要看文稿的内涵，又要看其文字表达能力，两者不可偏废。因为结构严谨、文字表达完美，可将论文的内涵著释的非常清楚，叙述生动、优美、流畅，读者阅之，兴趣盎然，爱不释手!因此，高质量的论文应是：思路清晰，逻辑合理，文字精练，推断顺理成章。 撰写论文常见的文字错误：(1)错别字，如内固(国)定物、过敏反应(映)、适应证(症)、综合征(症、证)，气(汽)性坏疽以及“&#62;”“&#60;”符号用反等；(2)词句不通，语病不断，过多使用倒装句；(3)标点符号使用不当，常一逗到底；(4)用语不规范，如：病名、药名、剂量、法定计算单位和参考文献等著录不符合规范要求；(5)引文不核对；(6)推理混乱，缺乏逻辑性。 撰写论文，是一项艰苦、细致的脑力劳动。愿作者以高度的责任心认真对待，不断提高论文撰写质量。]]></description>
			<content:encoded><![CDATA[<p style="text-align: left;">找生物转载分享自创新医学网<strong><a href="http://www.yixue360.com/StaticPage/S147/11121596441030.html">http://www.yixue360.com/StaticPage/S147/11121596441030.html<img class="aligncenter" title="122" src="http://am.img1001.com/uu_1101_2/moonss_49_22_81a5343dea31a27.jpg" alt="" width="480" height="424" /></a></strong></p>
<p>“为什么我的论文迟迟不能发表，我都按照编辑的要求修改三次了”。医生在投稿时常常会有这样的抱怨，现在创新医学网资深专家为大家总结出几条提高论文刊出率的经验，希望大家在以后论文写作中能够少走弯路、一投即发，下面小编就与您分享这些宝贵的投稿意见：</p>
<p><strong>第一，论文应符合期刊的办刊宗旨</strong></p>
<p>每种期刊都有自己的办刊宗旨和读者对象，只有及时刊出符合办刊宗旨、又满足读者需求的文章，才能不断提升期刊质量。所以在投稿时选择合适的期刊非常重要，但是作者有很难对期刊特性有很好的把握，创新医学网的资深编辑会根据论文内容及晋升政策为您推荐合适您论文发表的期刊杂志。</p>
<p><strong>第二，科学性、创新性是论文的核心</strong></p>
<p>学术期刊关注的是论文的科学性、先进性和创新性。这就要求论文中采用的资料真实可靠，实验数据准确无误，要进行统计学处理，具有可重复性。但从来稿中发现不足之处在于：</p>
<p><strong>(1)缺少创新性：</strong>科学的本质是不断创新，是推动医学科学发展的原动力，也是评价论文的重要标志。所谓创新，就是要求在观念、理论、技术和方法上有经得起实践检验的新见解。因此，选题时就应根据自己研究的成果，结合文献检索，从中找出创新点。就一篇论文而言，不可能所有内容都创新，只有一点改进、弥补了一个缺陷或提出一个新见解，就是创新。创新不断积累，就促进医学科学不断进步。低水平的重复，是撰写论文的大忌!讨论是论文的精华部分，作者可利用这个平台，就临床资料，特别是创新，展示精辟的论述以加深读者对论文实质的认识，利于交流和传播。如泛泛而言，论文变成文献综述，读者看起来就会索然无味，再好的临床研究，其价值也会大打折扣，应引以为戒!</p>
<p><strong>(2) 科研设计缺乏规范性：</strong>不论实验研究，还是临床研究，其科研设计必须规范、客观，能说明该研究课题的样本数。有的作者为提高其治疗方法的治愈率，有选择的进行病例统计、总结，失去了真实性。有的前瞻性研究文章，只有观察组，没有对照组，其治疗结果，难以令人信服，自然就不能刊出。<strong></strong></p>
<p><strong>(3)诊断依据不足、随访时间太短或时间跨度太大：</strong>临床研究论文一定要有明确地诊断。有的论文诊断依据不足，缺少必要的鉴别诊断，其真实性、科学性大打折扣。<strong></strong></p>
<p><strong>(4)病例数不一致，缺乏统计学处理：</strong>有的送审论文题目所写的病例数和正文中不一致，有的图表中各组例数相加与总数不一致。其原因多半是一时粗心、疏忽，但个别作者也难逃东拼西凑之嫌!</p>
<p>有的论文数据未行统计学处理(显著性检验)或仅计算百分率(相对数)，难以分析各组数据之间的差异。论文中的统计学处理，必须注明何种统计学软件、检验方法，结论性指标要写出具体的检验值，如 t值、x2值、Q值等，最后列出P值。</p>
<p><strong>第三，结构严谨、文字流畅是论文的基础</strong></p>
<p>审读论文，既要看文稿的内涵，又要看其文字表达能力，两者不可偏废。因为结构严谨、文字表达完美，可将论文的内涵著释的非常清楚，叙述生动、优美、流畅，读者阅之，兴趣盎然，爱不释手!因此，高质量的论文应是：思路清晰，逻辑合理，文字精练，推断顺理成章。</p>
<p>撰写论文常见的文字错误：(1)错别字，如内固(国)定物、过敏反应(映)、适应证(症)、综合征(症、证)，气(汽)性坏疽以及“&gt;”“&lt;”符号用反等；(2)词句不通，语病不断，过多使用倒装句；(3)标点符号使用不当，常一逗到底；(4)用语不规范，如：病名、药名、剂量、法定计算单位和参考文献等著录不符合规范要求；(5)引文不核对；(6)推理混乱，缺乏逻辑性。</p>
<p>撰写论文，是一项艰苦、细致的脑力劳动。愿作者以高度的责任心认真对待，不断提高论文撰写质量。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>动物怪异的饮食习惯隐藏的生物奥秘</title>
		<link>http://www.91bio.com/animals-bizarre-diet-secrets-hidden-biological/</link>
		<comments>http://www.91bio.com/animals-bizarre-diet-secrets-hidden-biological/#comments</comments>
		<pubDate>Wed, 21 Dec 2011 11:25:24 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645582</guid>
		<description><![CDATA[大千世界无奇不有，动物的饮食有怪癖。从猫捉老鼠起，让我们揭开取食的神奇面纱，去看个究竟。 猫爱吃鼠 人们熟知的一种现象，但其中的生理原因却很少有人知道。德国科学家的研究结果表明，猫的体内缺乏一种名为牛黄酸的物质，而牛黄酸正是提高哺乳动物夜间视觉能力的化学物质。由于猫本身不能合成牛黄酸，所以，它们只有大量地捕食老鼠，才能使体内保持足够的牛黄酸，从而保持夜间敏锐的视觉，使自己在自然界的激烈竞争中生存下去。不过，现代人饲养的宠物猫已经很少能吃到鼠肉，所以它们的夜视能力已经大大下降了。 目的：猫体内牛黄酸的研究是为了探索治疗人类的夜盲症。该病不是因为维生素A缺乏引起的，迄今为止也没有治疗该病的良药。 鸡要吃沙粒 沙粒不能被消化，鸡为什么有此癖好? 原来鸡吃沙粒主要帮助消化，由于没有牙齿，鸡会把没有咀嚼的食物存储在鸡肫里，然后用里面的沙粒研磨消化，因此，鸡不得不啄食沙粒。 思考：鸡吃石子，这种行为是出于何种原因那？其一，机体代谢反应。吃过沙粒后消化彻底，机体内能量物质水平高，在感官上沙粒等价于米粒；其二，动物的印随学习。在鸡群中，看到别的鸡啄食沙粒，在不知道何为营养物质的情况下，它们很可能模仿取食。即便事后知道只吃沙粒仍会忍饥挨饿，它们还会啄食少许帮助消化。 大黄蜂要吃粪 在发育到成虫的过程中，大黄蜂（熊蜂）要经过一个必要阶段：吃“姐妹们”的粪便。吃粪便听起来像是一个悲惨经历，但是，它却是能发育到成虫的关键一步，因为粪便中特殊的细菌构成蜂体内一部分“免疫系统”，保护它们免受寄生虫毒害。 纵观：在变态发育过程中，取食粪便不是为了获取营养，而是引进特殊细菌和抵御寄生虫。从蛹发育到成虫中，大黄蜂的肠道会被新的所取代，而新肠道是无菌的，因此，“姐妹们”的粪便就成为构建菌落的菌种来源；肠道中变形菌门β亚群能有效地防御短膜虫，如果在无菌环境下，雄蜂体内的短膜虫是正常雄蜂的6倍。 黑猩猩要吃药料 黑猩猩每天会消耗大量的食物，研究表明这些食物并非完全出于营养摄入，黑猩猩还懂得食物治疗。它们会以药用价值来选择食物，除了自我治疗作用之外，有强烈气味的药用植物还能提高它们的嗅觉能力。 剖析：黑猩猩所食的多数非营养食物和轻微有毒食物都具有一定的药用价值。基于这项研究，黑猩猩的“药箱”包括：箭毒树叶(抗肿瘤)、破布木芯(抗疟疾和抗病菌)、无花果(抗病毒)、无花果树皮(抗腹泻)、无花果树皮(去蠕虫药剂)等。 人爱吃“垃圾食品” 垃圾食品的高盐分能让人抵抗压力，并产生“恋爱荷尔蒙”，难怪我们吃起薯片总是停不住。老鼠吃了高盐食物时，大脑内的压力系统通常没有其他老鼠那么活跃。 风险：盐分让人体分泌出减压荷尔蒙，同时升高催产素的水平。催产素是一项有趣的东西，虽然它并不一定带来爱情和信任，但它总是在恋爱和社交时产生，并让人们减少紧张情绪。另外，盐是人体新陈代谢中不可或缺的，但是，过量摄取会也引起高血压，增加中风和心脏病突发风险，并导致心脏衰竭及肾衰竭。 总结：取食是满足生物体的能量之需，也是沟通生物体和环境的桥梁。看似奇怪的饮食，内部都会有合理的解释。现有的生物之所以没被自然淘汰掉，是因为它们具有高超的生存策略，表现在：个体代谢水平和群体适应性上。]]></description>
			<content:encoded><![CDATA[<p>大千世界无奇不有，动物的饮食有怪癖。从猫捉老鼠起，让我们揭开取食的神奇面纱，去看个究竟。</p>
<p><strong>猫爱吃鼠</strong></p>
<p><strong><img src="http://pic.biodiscover.com/uploads/temp/biodiscover_6337407.jpg" alt="" /></strong></p>
<p><strong></strong>人们熟知的一种现象，但其中的生理原因却很少有人知道。德国科学家的研究结果表明，猫的体内缺乏一种名为牛黄酸的物质，而牛黄酸正是提高哺乳动物夜间视觉能力的化学物质。由于猫本身不能合成牛黄酸，所以，它们只有大量地捕食老鼠，才能使体内保持足够的牛黄酸，从而保持夜间敏锐的视觉，使自己在自然界的激烈竞争中生存下去。不过，现代人饲养的宠物猫已经很少能吃到鼠肉，所以它们的夜视能力已经大大下降了。</p>
<p>目的：猫体内牛黄酸的研究是为了探索治疗人类的夜盲症。该病不是因为维生素A缺乏引起的，迄今为止也没有治疗该病的良药。</p>
<p><strong>鸡要吃沙粒</strong></p>
<p><strong><img src="http://pic.biodiscover.com/uploads/temp/biodiscover_3599047.jpg" alt="" /></strong></p>
<p><strong></strong>沙粒不能被消化，鸡为什么有此癖好? 原来鸡吃沙粒主要帮助消化，由于没有牙齿，鸡会把没有咀嚼的食物存储在鸡肫里，然后用里面的沙粒研磨消化，因此，鸡不得不啄食沙粒。</p>
<p>思考：鸡吃石子，这种行为是出于何种原因那？其一，机体代谢反应。吃过沙粒后消化彻底，机体内能量物质水平高，在感官上沙粒等价于米粒；其二，动物的印随学习。在鸡群中，看到别的鸡啄食沙粒，在不知道何为营养物质的情况下，它们很可能模仿取食。即便事后知道只吃沙粒仍会忍饥挨饿，它们还会啄食少许帮助消化。</p>
<p><strong>大黄蜂要吃粪</strong></p>
<p><strong><img src="http://pic.biodiscover.com/uploads/temp/biodiscover_9695347.jpg" alt="" /></strong></p>
<p><strong></strong>在发育到成虫的过程中，大黄蜂（熊蜂）要经过一个必要阶段：吃“姐妹们”的粪便。吃粪便听起来像是一个悲惨经历，但是，它却是能发育到成虫的关键一步，因为粪便中特殊的细菌构成蜂体内一部分“免疫系统”，保护它们免受寄生虫毒害。</p>
<p>纵观<strong>：</strong>在变态发育过程中，取食粪便不是为了获取营养，而是引进特殊细菌和抵御寄生虫。从蛹发育到成虫中，大黄蜂的肠道会被新的所取代，而新肠道是无菌的，因此，“姐妹们”的粪便就成为构建菌落的菌种来源；肠道中变形菌门β亚群能有效地防御短膜虫，如果在无菌环境下，雄蜂体内的短膜虫是正常雄蜂的6倍。</p>
<p><strong>黑猩猩要吃药料</strong></p>
<p><strong><img src="http://pic.biodiscover.com/uploads/temp/biodiscover_3571347.jpg" alt="" /></strong></p>
<p><strong></strong>黑猩猩每天会消耗大量的食物，研究表明这些食物并非完全出于营养摄入，黑猩猩还懂得食物治疗。它们会以药用价值来选择食物，除了自我治疗作用之外，有强烈气味的药用植物还能提高它们的嗅觉能力。</p>
<p>剖析<strong>：</strong>黑猩猩所食的多数非营养食物和轻微有毒食物都具有一定的药用价值。基于这项研究，黑猩猩的“药箱”包括：箭毒树叶(抗肿瘤)、破布木芯(抗疟疾和抗病菌)、无花果(抗病毒)、无花果树皮(抗腹泻)、无花果树皮(去蠕虫药剂)等。</p>
<p><strong>人爱吃“垃圾食品”</strong></p>
<p><strong><img src="http://pic.biodiscover.com/uploads/temp/biodiscover_8074617.jpg" alt="" /></strong></p>
<p><strong></strong>垃圾食品的高盐分能让人抵抗压力，并产生“恋爱荷尔蒙”，难怪我们吃起薯片总是停不住。老鼠吃了高盐食物时，大脑内的压力系统通常没有其他老鼠那么活跃。</p>
<p>风险<strong>：</strong>盐分让人体分泌出减压荷尔蒙，同时升高催产素的水平。催产素是一项有趣的东西，虽然它并不一定带来爱情和信任，但它总是在恋爱和社交时产生，并让人们减少紧张情绪。另外，盐是人体新陈代谢中不可或缺的，但是，过量摄取会也引起高血压，增加中风和心脏病突发风险，并导致心脏衰竭及肾衰竭。</p>
<p><strong>总结：</strong>取食是满足生物体的能量之需，也是沟通生物体和环境的桥梁。看似奇怪的饮食，内部都会有合理的解释。现有的生物之所以没被自然淘汰掉，是因为它们具有高超的生存策略，表现在：个体代谢水平和群体适应性上。</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>2011生命科学行业大奖,谁是最大赢家？</title>
		<link>http://www.91bio.com/2011-life-science-industry-award-who-is-the-biggest-winner/</link>
		<comments>http://www.91bio.com/2011-life-science-industry-award-who-is-the-biggest-winner/#comments</comments>
		<pubDate>Tue, 20 Dec 2011 11:46:29 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[资讯]]></category>
		<category><![CDATA[找生物]]></category>
		<category><![CDATA[生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645579</guid>
		<description><![CDATA[2011年度生命科学行业大奖( Life Science Industry Awards® )日前在美国华盛顿凯悦酒店揭晓。此次大奖表彰了在29类产品和服务中表现最佳的生命科学供应商。 2008年之前，生命科学行业大奖一直由著名的《科学人》（The Scientist）杂志和咨询公司BioInformatics LLC合作主办。但因故在2009和2010年停办。今年，BioInformatics LLC公司独挑大梁，举办了此次评选活动。它利用业界最佳实践的市场调研方法，对The Science Advisory Board®（世界上最大的科学家消费者市场研究小组）中的近6600名科学家进行调查，并根据每家公司所获的提名数量、以及客户的满意度和忠诚度，评选出了在29个产品、通讯和支持类别中表现最佳的供应商。 今年，Life Technologies成为最大赢家，横扫7项大奖，其中Gibco产品包揽了细胞培养和分析方面的大奖（仪器除外），显示出金字招牌的实力。GE Healthcare也凭借在蛋白方面的不断创新，获得三项大奖。Illumina公司获得最佳高通量测序平台以及高通量筛选和分析系统两项大奖。此外，QIAGEN、Thermo Fisher、Bio-Rad、BD和CST公司都有两座奖杯在手。 具体获奖名单如下（有些奖项我们还列出了第二名和第三名，以供参考）： 最佳流程方案（基因组学）： 具体指改善流程和/或让基因组学实验中各个步骤自动化的产品，包括系统、仪器、试剂盒及试剂。 QIAGEN – 获胜者 Applied Biosystems – 第二名 Illumina – 第三名 最佳分子生物学产品： 具体指处理、修饰或改变DNA的试剂，包括酶、寡核苷酸、DNA ladder和克隆试剂盒。 Invitrogen（Life Technologies） – 获胜者 New England Biolabs – 第二名 QIAGEN – 第三名 最佳基因组学分析试剂盒&#38;试剂： 具体指测定mRNA水平以确定基因表达水平，鉴定或检测核酸，或研究RNAi现象的产品，包括芯片、PCR、qPCR、RT-PCR、测序、基因分型和RNAi。 Applied Biosystems（Life Technologies）– 获胜者 QIAGEN – 第二名 Invitrogen（Life [...]]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" src="http://pic.biodiscover.com/uploads/5ef059938ba799aaa845e1c2e8a762bd/article/biodiscover_1f769c3121f7d0c118.gif" alt="2011生命科学行业大奖揭晓，Life Technologies成最大赢家" /></p>
<p>2011年度生命科学行业大奖( Life Science Industry Awards® )日前在美国华盛顿凯悦酒店揭晓。此次大奖表彰了在29类产品和服务中表现最佳的生命科学供应商。</p>
<p>2008年之前，生命科学行业大奖一直由著名的《科学人》（The Scientist）杂志和咨询公司BioInformatics LLC合作主办。但因故在2009和2010年停办。今年，BioInformatics LLC公司独挑大梁，举办了此次评选活动。它利用业界最佳实践的市场调研方法，对The Science Advisory Board®（世界上最大的科学家消费者市场研究小组）中的近6600名科学家进行调查，并根据每家公司所获的提名数量、以及客户的满意度和忠诚度，评选出了在29个产品、通讯和支持类别中表现最佳的供应商。</p>
<p>今年，Life Technologies成为最大赢家，横扫7项大奖，其中Gibco产品包揽了细胞培养和分析方面的大奖（仪器除外），显示出金字招牌的实力。GE Healthcare也凭借在蛋白方面的不断创新，获得三项大奖。Illumina公司获得最佳高通量测序平台以及高通量筛选和分析系统两项大奖。此外，QIAGEN、Thermo Fisher、Bio-Rad、BD和CST公司都有两座奖杯在手。</p>
<p>具体获奖名单如下（有些奖项我们还列出了第二名和第三名，以供参考）：</p>
<p><strong>最佳流程方案（基因组学）：</strong></p>
<p>具体指改善流程和/或让基因组学实验中各个步骤自动化的产品，包括系统、仪器、试剂盒及试剂。</p>
<p>QIAGEN – 获胜者</p>
<p>Applied Biosystems – 第二名</p>
<p>Illumina – 第三名</p>
<p><strong>最佳分子生物学产品：</strong></p>
<p>具体指处理、修饰或改变DNA的试剂，包括酶、寡核苷酸、DNA ladder和克隆试剂盒。</p>
<p>Invitrogen（Life Technologies） – 获胜者</p>
<p>New England Biolabs – 第二名</p>
<p>QIAGEN – 第三名</p>
<p><strong>最佳基因组学分析试剂盒&amp;试剂：</strong></p>
<p>具体指测定mRNA水平以确定基因表达水平，鉴定或检测核酸，或研究RNAi现象的产品，包括芯片、PCR、qPCR、RT-PCR、测序、基因分型和RNAi。</p>
<p>Applied Biosystems（Life Technologies）– 获胜者</p>
<p>QIAGEN – 第二名</p>
<p>Invitrogen（Life Technologies）– 第三名</p>
<p><strong>最佳基因组学分析仪器：</strong></p>
<p>具体指处理核酸、确定遗传序列或监控基因表达水平的资产设备，包括DNA分析仪、测序仪器和实时定量PCR仪。</p>
<p>Applied Biosystems（Life Technologies） – 获胜者</p>
<p>Bio-Rad – 第二名</p>
<p>QIAGEN – 第三名</p>
<p><strong>最佳抗体：</strong></p>
<p>Cell Signaling Technology – 获胜者</p>
<p>BD Biosciences – 第二名</p>
<p>Merck Millipore – 第三名</p>
<p><strong>最佳的常规实验室设备：</strong></p>
<p>包括离心机、PCR仪、凝胶成像仪、烤箱、水浴等。</p>
<p>Eppendorf – 获胜者</p>
<p>Fisher Scientific（Thermo Fisher）– 第二名</p>
<p>Bio-Rad – 第三名</p>
<p><strong>最佳细胞分析仪器（基于流式细胞技术）：</strong></p>
<p>主要用于测量细胞的物理和生化性质，如大小、功能、生活周期、分裂及死亡。仪器也用于分选细胞。包括流式细胞仪、荧光激活细胞分选仪。</p>
<p>BD Biosciences – 获胜者</p>
<p>Beckman Coulter – 第二名</p>
<p>Accuri Cytometers（BD Biosciences） – 第三名</p>
<p><strong>最佳细胞生物学仪器（基于显微镜）：</strong></p>
<p>主要用于研究细胞的生理特性，如它们的结构和细胞器，环境和相互作用，它们的生活周期、分裂、功能和死亡。包括复合显微镜、共聚焦显微镜、立体显微镜、扫描电镜等。</p>
<p>Carl Zeiss – 获胜者</p>
<p>Leica Microsystems – 第二名</p>
<p>Nikon – 第三名</p>
<p><strong>最佳细胞生物学产品：</strong></p>
<p>主要用于研究细胞的生理性质如它们的结构和细胞器，环境和相互作用，它们的生活周期、分裂、功能和死亡。包括免疫检测、细胞分析、凋亡分析、细胞信号通路分析、信号传导分析。</p>
<p>Invitrogen（Life Technologies）– 获胜者</p>
<p>Cell Signaling Technology – 第二名</p>
<p>BD Biosciences – 第三名</p>
<p><strong>最佳细胞培养基&amp;试剂：</strong></p>
<p>包括培养基、抗生素、生长因子和血清。</p>
<p>Gibco（Life Technologies）– 获胜者</p>
<p>Invitrogen（Life Technologies）– 第二名</p>
<p>BD Bioscienecs – 第三名</p>
<p><strong>最佳流程方案（细胞研究）：</strong></p>
<p>具体指改善流程或让细胞研究中各个步骤自动化的产品，包括系统、仪器、试剂盒及试剂。</p>
<p>Gibco（Life Technologies）- 获胜者</p>
<p>Invitrogen（Life Technoologies）- 第二名</p>
<p>BD Biosciences – 第三名</p>
<p><strong>最佳核酸纯化&amp;制备产品：</strong></p>
<p>具体指用于纯化、分离和分析DNA或RNA的产品，包括分离纯化DNA或RNA的试剂盒、核酸标准品、DNA凝胶。</p>
<p>QIAGEN – 获胜者</p>
<p>Macherey-Nagel – 第二名</p>
<p>Invitrogen（Life Technologies）- 第三名</p>
<p><strong>最佳蛋白表达&amp;分析产品：</strong></p>
<p>具体指用于开展蛋白表达图谱分析，鉴定蛋白靶标、开展多个疾病的多重分析的产品，包括生物标志物、蛋白芯片。</p>
<p>Bio-Rad Laboratories – 获胜者</p>
<p>Invitrogen（Life Technologies）- 第二名</p>
<p>Cell Signaling Technology – 第三名</p>
<p><strong>最佳蛋白纯化&amp;分离产品：</strong></p>
<p>具体指用于肽段或蛋白的纯化和分离的产品，包括预制胶、重组蛋白标签、亲和树脂、蛋白或抗体芯片，蛋白电泳仪器等。</p>
<p>GE Healthcare Life Sciences – 获胜者</p>
<p>Bio-Rad – 第二名</p>
<p>Pierce（赛默飞世尔）- 第三名</p>
<p><strong>最佳流程方案（蛋白质组学）：</strong></p>
<p>具体指改善流程或让蛋白质组学实验中各个步骤自动化的产品，包括系统、仪器、试剂盒及试剂。</p>
<p>GE Healthcare Life Sciences – 获胜者</p>
<p>Bio-Rad – 第二名</p>
<p>Invitrogen（Life Technologies）- 第三名</p>
<p><strong>最佳蛋白分析&amp;纯化仪器：</strong></p>
<p>具体指用于检测和/或定量蛋白的资产设备，包括质谱仪、HPLC和其他色谱仪、微量量热仪、SPR仪器等。</p>
<p>GE Healthcare Life Sciences – 获胜者</p>
<p>Bio-Rad – 第二名</p>
<p>Agilent – 第三名</p>
<p><strong>最佳高通量筛选&amp;分析仪器：</strong></p>
<p>具体指采用微型化分析形式的自动化系统，用于同时开展多个实验或开展多重分析，包括微珠读取仪、微孔板系统、液体处理系统、实验室机器人。</p>
<p>Illumina – 获胜者</p>
<p>Affymetrix – 第二名</p>
<p>Agilent – 第三名</p>
<p><strong>最佳高通量测序平台：</strong></p>
<p>具体指采用大规模并行处理，同时产生数千至数百万个序列的自动化系统，包括新一代测序仪和第三代测序仪。</p>
<p>Illumina – 获胜者</p>
<p>Applied Biosystems（Life Technologies）-第二名</p>
<p>Helicos BioSciences – 第三名</p>
<p><strong>突破性的神经学研究产品：</strong></p>
<p>Abcam</p>
<p><strong>突破性的微生物学研究产品：</strong></p>
<p>BD (Difco)</p>
<p><strong>突破性的干细胞研究产品：</strong></p>
<p>STEMCELL Technologies</p>
<p><strong>突破性的癌症研究产品：</strong></p>
<p>Cell Signaling Technology</p>
<p><strong>最具创新的定价：</strong></p>
<p>Thermo Fisher Scientific</p>
<p><strong>最佳客户服务&amp;技术支持：</strong></p>
<p>Life Technologies</p>
<p><strong>最有帮助的销售人员：</strong></p>
<p>Thermo Fisher Scientific</p>
<p><strong>最令人难忘的广告：</strong></p>
<p>Bio-Rad Laboratories</p>
<p><strong>最实用的网站：</strong></p>
<p>New England Biolabs</p>
<p><strong>最善于使用数字媒体：</strong></p>
<p>Sigma-Aldrich</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/2011-life-science-industry-award-who-is-the-biggest-winner/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>科研做啥跟我瞧</title>
		<link>http://www.91bio.com/now-i-see-research-zuosa/</link>
		<comments>http://www.91bio.com/now-i-see-research-zuosa/#comments</comments>
		<pubDate>Tue, 20 Dec 2011 03:19:27 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[有趣]]></category>
		<category><![CDATA[科研]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645573</guid>
		<description><![CDATA[找生物在网上发现的一篇牛文，作者无从考证，采用顺口溜的形式把科研生活进行了总结，来看看挺有借鉴意义！ &#160; 1、文献阅读 先看两篇综述，搞清过去未来； 再看具体文章，搞清技术方法； 阅读摘要为主，全文只能为辅； 书籍大多没用，别去浪费时间； （基本方法的书，如果用得着可以简单看） 文献看少没用，少说也要两百。 2、选题和开题 心比天高要不得，先整及格再良好； 课题规划定仔细，注重细节少挫折； 老板态度最重要，干到啥样能毕业。（搞清干到啥样能毕业，这很重要） 3、课题实施 精艺求精是目标，难得糊涂最重要；（得变通处且变通，世事不能尽如人意） 干不出来别上火，坚持就会出结果；（上火没用，坚持到底就是胜利） 不知道的就去问，千万不要闷头搞；（询问行家要比自己查自己试来的快，有的时候部分工作可以外协） 定期要与老板聊，找不到人也得找；（找导师料可以时刻纠正研究方向，免得偏离目标还不知道） 4、发表文章 SCI重新意，写不出来也得写；（SCI期刊注重论文创新性，你必须写出你的新意处，才能提高录用概率） EI刊源最好办，给钱基本差不多； 实在不行投会议，还发不了没话说； 发表文章老板抢，先斩后奏没商量；（如果老板爱当第一作者，而有时你舍不得，只好发了再报告。但是，注意一定要把老板放在第二作者） 5、生活 心情放松身体好，心理平衡最重要；（别抱怨，别攀比，要勤奋的工作）]]></description>
			<content:encoded><![CDATA[<p>找生物在网上发现的一篇牛文，作者无从考证，采用顺口溜的形式把科研生活进行了总结，来看看挺有借鉴意义！</p>
<p><img class="aligncenter" title="32" src="http://pic.biodiscover.com/uploads/5fd0b37cd7dbbb00f97ba6ce92bf5add/article/biodiscover_6288223da59e536114.jpg" alt="" width="297" height="319" /></p>
<p>&nbsp;</p>
<p><strong>1、文献阅读</strong></p>
<p>先看两篇综述，搞清过去未来；</p>
<p>再看具体文章，搞清技术方法；</p>
<p>阅读摘要为主，全文只能为辅；</p>
<p>书籍大多没用，别去浪费时间； （基本方法的书，如果用得着可以简单看）</p>
<p>文献看少没用，少说也要两百。</p>
<p><strong>2、选题和开题</strong></p>
<p>心比天高要不得，先整及格再良好；</p>
<p>课题规划定仔细，注重细节少挫折；</p>
<p>老板态度最重要，干到啥样能毕业。（搞清干到啥样能<a href="http://scienceroom.net/tag/graduation">毕业</a>，这很重要）</p>
<p><strong>3、课题实施</strong></p>
<p>精艺求精是目标，难得糊涂最重要；（得变通处且变通，世事不能尽如人意）</p>
<p>干不出来别上火，坚持就会出结果；（上火没用，坚持到底就是胜利）</p>
<p>不知道的就去问，千万不要闷头搞；（询问行家要比自己查自己试来的快，有的时候部分工作可以外协）</p>
<p>定期要与老板聊，找不到人也得找；（找导师料可以时刻纠正研究方向，免得偏离目标还不知道）</p>
<p><strong>4、发表文章</strong></p>
<p><a href="http://scienceroom.net/tag/sci">SCI</a>重新意，写不出来也得写；（SCI期刊注重论文创新性，你必须写出你的新意处，才能提高录用概率）</p>
<p>EI刊源最好办，给钱基本差不多；</p>
<p>实在不行投会议，还发不了没话说；</p>
<p>发表文章老板抢，先斩后奏没商量；（如果老板爱当第一作者，而有时你舍不得，只好发了再报告。但是，注意一定要把老板放在第二作者）</p>
<p><strong>5、生活</strong></p>
<p>心情放松身体好，心理平衡最重要；（别抱怨，别攀比，要勤奋的工作）</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/now-i-see-research-zuosa/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓应用之掌中智通，随时随地找工作</title>
		<link>http://www.91bio.com/application-of-the-hands-of-andrews-zhitong-find-a-job-anywhere/</link>
		<comments>http://www.91bio.com/application-of-the-hands-of-andrews-zhitong-find-a-job-anywhere/#comments</comments>
		<pubDate>Thu, 15 Dec 2011 08:53:29 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[拿福能]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645566</guid>
		<description><![CDATA[今天找生物看到拿福能的“掌中智通”活动，才发现找生物好久没有分享安卓方面的应用了，当然了今天介绍的主角“掌中智通”确切说不是生物方面的应用，但学生物的童鞋还有能用到的（不光是学生物的哦）。 想当年找生物大学毕业时，当时网络还不如现在发达，基本都是依靠校园招聘和跑招聘会，那是一个辛苦，有过赶招聘会的童鞋应该都有些阴影吧！不过找生物还好，没有经历太多研究生考试的成绩就下来了，走了狗屎运去读了个研究僧。等读完研究僧毕业找工作时，网络已经是相当的发达，做好电子简历，整天的到几个大的人才招聘网站浏览发简历，当时的像智联、前程无忧之类的已经比较火了，还有些专业性的像生物通、生物谷之类的，一开始毫无目的的撒网，倒也接到了不少的offer，想毕现在的童鞋找工作除了关系户，多也是这种形式吧。 现如今网络应用更是层出不穷，网络信息应有尽有，随着智能手机的普及，各大应用向着手机终端发展，提供了更多的便利，今天就介绍一款手机端找工作的应用，看看今天的主角吧： “掌中智通”是智通人才网的手机端应用软件，智通人才网1999年9月始创于中国东莞市，是中国“线上＋线下”复合招聘服务模式的创造者和领导者。现在，智通人才网开通了手机客户端（app.job5156.com），可以随时随地方便求职者搜索各种线上招聘信息，同时又可查看线下招聘会的场地、时间、参展公司及职位等信息。真正做到随时随地找工作，无忧无虑好“薪”情。 1.下载安装 可以在http://app.job5156.com页面下载并使用其手机客户端，找生物下载的是android版本的，才800多k，在我的小U上运行比较流畅。 2.界面介绍 进入掌中智通界面，主要包括6个功能区域：职位搜索、我的智通、招聘会、校园招聘、求职资讯、更多。现在就随找生物一起看看吧 职位搜索界面 我的智通界面 校园招聘界面 招聘会界面 求职资讯界面 更多栏目下更换皮肤界面 关于智通的介绍界面 整体来看，界面比较简介美观，6大功能区信息量大，操作上手比较容易。 3.运行试用 同时找生物进行了简单的运行试用. 3.1 注册：首先在“我的智通”栏目下进行了注册操作，注册比较简单，需要输入邮箱、用户名以及密码（两次），很快就有注册成功的提示。登录后有职位相关、简历管理和账户管理选项，可以直观的查看自己申请的职位等信息，不过简历的制作等在客户端无法进行，需要在网站进行操作。 3.2 搜索：找生物进行了生物相关的搜索，关键词包括“生物”“制药”“疫苗”等，可以进行职位名、公司名以及全文搜索，搜索条件可以设定地点、职位和日期，并在下方可以显示历史搜索记录，下面是找生物搜索“生物”的结果，共770条。右侧有滑动指示，拉开后为搜索条件，可以在搜索结果中重新筛选，更快的找到你中意的职位，包括学历、经验、性别等。 3.3 查看职位：触摸相应职位列表，进入详细信息，包含职位详情、公司详情和其他职位选项。介绍比较详细、清晰，在职位详情上、下栏均有收藏、申请以及分享的按钮，对于中意职位还是尽快下手吧，这儿还需要说明的一点是，首先应完善好自己的简历，其次就是登录了，呵呵。 4. 总结 这款应用总体来说比较容易上手，界面比较美观，操作简单，作为日常随手管理查看确实比较实用！但据找生物的搜索来看，职位的信息量并不是很大，这也许是由于生物专业领域稍窄，同时找生物未作热门岗位的搜索。再就是职位信息南方地区的比较多，这也许跟公司的推广经营策略有关系。但作为手机端的找工作应用比较方法，各位要找工作的童鞋不妨试试！]]></description>
			<content:encoded><![CDATA[<p>今天找生物看到拿福能的“掌中智通”活动，才发现找生物好久没有分享安卓方面的应用了，当然了今天介绍的主角“掌中智通”确切说不是生物方面的应用，但学生物的童鞋还有能用到的（不光是学生物的哦）。</p>
<p>想当年找生物大学毕业时，当时网络还不如现在发达，基本都是依靠校园招聘和跑招聘会，那是一个辛苦，有过赶招聘会的童鞋应该都有些阴影吧！不过找生物还好，没有经历太多研究生考试的成绩就下来了，走了狗屎运去读了个研究僧。等读完研究僧毕业找工作时，网络已经是相当的发达，做好电子简历，整天的到几个大的人才招聘网站浏览发简历，当时的像智联、前程无忧之类的已经比较火了，还有些专业性的像生物通、生物谷之类的，一开始毫无目的的撒网，倒也接到了不少的offer，想毕现在的童鞋找工作除了关系户，多也是这种形式吧。</p>
<p>现如今网络应用更是层出不穷，网络信息应有尽有，随着智能手机的普及，各大应用向着手机终端发展，提供了更多的便利，今天就介绍一款手机端找工作的应用，看看今天的主角吧：</p>
<p>“掌中智通”是智通人才网的手机端应用软件，<a href="http://www.job5156.com/" target="_blank">智通人才网</a>1999年9月始创于中国东莞市，是中国“线上＋线下”复合招聘服务模式的创造者和领导者。现在，智通人才网开通了<strong><a href="http://app.job5156.com/" target="_blank">手机客户端</a></strong>（app.job5156.com），可以随时随地方便求职者搜索各种线上招聘信息，同时又可查看线下招聘会的场地、时间、参展公司及职位等信息。真正做到<strong>随时随地找工作，无忧无虑好“薪”情</strong>。</p>
<p><strong><a href="http://app.job5156.com/" target="_blank"><img class="aligncenter" title="2010智通人才网logo" src="http://www.nuffnang.com.cn/wp-content/uploads/2011/12/2010%E6%99%BA%E9%80%9A%E4%BA%BA%E6%89%8D%E7%BD%91logo-1024x271.jpg" alt="" width="614" height="163" /></a></strong></p>
<h4>1.下载安装</h4>
<p>可以在<a href="http://app.job5156.com/">http://app.job5156.com</a>页面<strong>下载并使用</strong>其<strong>手机客户端</strong>，找生物下载的是android版本的，才800多k，在我的小U上运行比较流畅。</p>
<h4>2.界面介绍</h4>
<p>进入掌中智通界面，主要包括6个功能区域：职位搜索、我的智通、招聘会、校园招聘、求职资讯、更多。现在就随找生物一起看看吧<br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870310"><img class="aligncenter" src="http://i.6.cn/cvbnm/d4/04/7e/1faf4cf4f136efd0b7093ea61da5d70a.png" alt="更多" /></a></p>
<p style="text-align: center;"><strong>职位搜索界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870325"><img src="http://i.6.cn/cvbnm/de/00/31/3971dbf377c6867a94532ee8206dc340.png" alt="我的智通" /></a></p>
<p style="text-align: center;"><strong>我的智通界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870310"><img src="http://i.6.cn/cvbnm/d4/04/7e/1faf4cf4f136efd0b7093ea61da5d70a.png" alt="更多" /></a></p>
<p style="text-align: center;"><strong>校园招聘界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870302"><img src="http://i.6.cn/cvbnm/47/f0/e9/b2835cbac3161d4ef72159f8ad51dc97.png" alt="校园" /></a></p>
<p style="text-align: center;"><strong>招聘会界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870305"><img src="http://i.6.cn/cvbnm/bc/a2/e3/718ea1a66a9d9157c339e1c70a1bd98a.png" alt="资讯" /></a></p>
<p style="text-align: center;"><strong>求职资讯界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870300"><img src="http://i.6.cn/cvbnm/45/d0/df/90524af17f5c12e2284ac515cadc8ffd.png" alt="皮肤" /></a></p>
<p style="text-align: center;"><strong>更多栏目下更换皮肤界面</strong><br />
<a href="http://tu.6.cn/pic/play-tu/id/0#13870329"><img src="http://i.6.cn/cvbnm/10/ef/a0/193d51c96793e3494922b31795742571.png" alt="关于" /></a></p>
<p style="text-align: center;"><strong>关于智通的介绍界面</strong></p>
<p style="text-align: left;">整体来看，界面比较简介美观，6大功能区信息量大，操作上手比较容易。</p>
<h4 style="text-align: left;">3.运行试用</h4>
<p>同时找生物进行了简单的运行试用.</p>
<p>3.1 注册：首先在“我的智通”栏目下进行了注册操作，注册比较简单，需要输入邮箱、用户名以及密码（两次），很快就有注册成功的提示。登录后有职位相关、简历管理和账户管理选项，可以直观的查看自己申请的职位等信息，不过简历的制作等在客户端无法进行，需要在网站进行操作。</p>
<p><img class="aligncenter" title="注册登录" src="http://i.6.cn/cvbnm/7b/60/56/504c7401b332c41b1ba12a56240ad58c.png" alt="" width="320" height="480" /></p>
<p>3.2 搜索：找生物进行了生物相关的搜索，关键词包括“生物”“制药”“疫苗”等，可以进行职位名、公司名以及全文搜索，搜索条件可以设定地点、职位和日期，并在下方可以显示历史搜索记录，下面是找生物搜索“生物”的结果，共770条。右侧有滑动指示，拉开后为搜索条件，可以在搜索结果中重新筛选，更快的找到你中意的职位，包括学历、经验、性别等。</p>
<p><img class="aligncenter" title="生物" src="http://i.6.cn/cvbnm/87/16/06/41872c6177ecff8771c58f59af54f734.png" alt="" width="320" height="480" /></p>
<p>3.3 查看职位：触摸相应职位列表，进入详细信息，包含职位详情、公司详情和其他职位选项。介绍比较详细、清晰，在职位详情上、下栏均有收藏、申请以及分享的按钮，对于中意职位还是尽快下手吧，这儿还需要说明的一点是，首先应完善好自己的简历，其次就是登录了，呵呵。</p>
<p><img class="alignleft" title="职位" src="http://i.6.cn/cvbnm/4b/c2/20/7a55af5e4e36bc899d6123af6339acda.png" alt="" width="320" height="480" /><img class="aligncenter" title="公司" src="http://i.6.cn/cvbnm/9f/d5/b0/6412a268329b9b69b349af553a653911.png" alt="" width="320" height="480" /></p>
<h4>4. 总结</h4>
<p>这款应用总体来说比较容易上手，界面比较美观，操作简单，作为日常随手管理查看确实比较实用！但据找生物的搜索来看，职位的信息量并不是很大，这也许是由于生物专业领域稍窄，同时找生物未作热门岗位的搜索。再就是职位信息南方地区的比较多，这也许跟公司的推广经营策略有关系。但作为手机端的找工作应用比较方法，各位要找工作的童鞋不妨试试！</p>
]]></content:encoded>
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		<item>
		<title>2011年十大医学突破</title>
		<link>http://www.91bio.com/top-ten-medical-breakthroughs-of-2011/</link>
		<comments>http://www.91bio.com/top-ten-medical-breakthroughs-of-2011/#comments</comments>
		<pubDate>Wed, 14 Dec 2011 13:33:05 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[资讯]]></category>
		<category><![CDATA[医学]]></category>
		<category><![CDATA[疫苗]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645563</guid>
		<description><![CDATA[杂志网站发布了2011年的十大医学突破评选结果。这些研究涵盖了从干细胞克隆研究到对抗疟疾和艾滋病的广泛医学分支领域，纪录着在过去的这一年中人类在了解自身奥秘和对抗最可怕疾病的道路上取得的丰硕成果。 1 运用克隆技术制造干细胞 运用克隆技术制造干细胞 　　这并非人体克隆，但已经非常接近了。科学家们报告他们利用“体细胞核转移”(SCNT)技术，即当年克隆出小羊“多利”的相同技术，在人体细胞上进行了同样的实验。这种技术简单来说就是将一个卵细胞中的遗传物质用一个成熟体细胞，如皮肤细胞中的DNA加以代替。随后卵细胞将开始分裂，如果一切顺利，最终它将产生一个和提供成熟体细胞的动物个体拥有完全相同遗传基因的克隆体。 2 制成第一种疟疾疫苗 制成第一种疟疾疫苗 　　疟疾每年在全球感染数以百万计的儿童，现在人类终于有了一种对抗它的利器——第一种针对疟疾的疫苗今年已经在撒哈拉以南地区的儿童中试验成功。结果显示这种新型疫苗能将疟疾感染率降低一半左右，考虑到这是人类开发的第一种此类疫苗，这一成果已经相当不易。 3 找到抵御艾滋病侵袭的新途径 找到抵御艾滋病侵袭的新途径 　　由于抗逆转录病毒(ARV)药物的研制成功，人类在对抗艾滋病的道路上取得长足进展。这种药物能显著降低患者体内的病毒水平，让身体保持健康并降低HIV人际传染的可能性。而最近的研究还发现这种药物不但能帮助病人对抗艾滋病，它还能帮助未受感染的健康人预防HIV病毒的感染。 4 新的饮食营养均衡指导方案 新的饮食营养均衡指导方案 　　每隔5年，美国联邦农业部以及健康与人类服务部都会按照惯例发布一份《美国人饮食指导意见》(DGA)。2011年的版本于1月份发布，这份意见呼吁美国人适当减少食物摄入量，并建议减少食盐，糖和脂肪的添加，并注意保持卡路里的摄入和消耗平衡。报告鼓励人们多吃蔬菜和植物性食品，以及海产品。同时它还建议民众采纳联邦政府提出的适量运动建议，即每名成年人每周应保证大约150分钟的适度运动。 5 在实验室中培育人体身体器官 在实验室中培育人体身体器官 　　科学家们开始尝试在实验室中人工培育可用于移植的人体器官，并且这一项目已经开始取得切实的进展。2011年3月份，美国威克森林大学再生医学研究所的安东尼·阿塔拉(Anthony Atala)博士成功制造出了人的尿道。 6 细菌和结肠癌之间的神秘关联 细菌和结肠癌之间的神秘关联 　　结肠癌是由细菌引发的吗？2011年10月份，两个研究小组发布了几乎相同的报告，指出一种名为“梭杆菌”(Fusobacteria)的细菌很不寻常，它们平常在很少出现在人体肠道内，但是研究发现它们在结肠癌细胞中却异常活跃，并且似乎显示它们与肿瘤的恶性程度存在相关性。 7 新型减肥药 新型减肥药 　　如果说在减肥领域有永恒真理的话，那就是：世上没有神奇减肥药能一下子让你减肥成功。至少，现在还没有。 不过，今年一种名为“Qnexa”的实验性药物显示它能让服用者在大约1年的时间内降低10%的体重。这种药物其实是两种现有药物的配制品，即减肥药物“芬特明”和抗癫痫药物“托吡酯”的混合物。这种混合药剂主要通过两方面入手来对抗肥胖问题，首先其中的芬特明成分是安非他明，即苯丙胺的近似药物，这实际上是一种兴奋剂，尽管其长期使用的潜在副作用尚不明确，但是它的确能抑制人体的饥饿感；而另一方面，托吡酯作为一种对抗医学上对抗癫痫的药物，能够帮助平衡人体大脑内的神经电信号联系，这同样能抑制人的食欲。 8 狗能嗅出肺癌 狗能嗅出肺癌 　　人类长久以来最好的伙伴——狗，看来也即将变成医生们最好的助手。众所周知，狗拥有极度灵敏的嗅觉，但是一项最新研究显示，狗的嗅觉甚至敏锐到能够从人的呼吸中嗅出此人是否患有癌症。德国研究人员花费9个月时间对狗加以训练，让它们尝试区分取自肺癌患者的呼气样本和健康人的呼气样本。结果测试显示，一只狗能够对100份样本中的761份做出正确的判断，并可以准确地从混合的样本群中找出93%的健康样本。 9 利用唾液分析鉴定死者年龄 利用唾液分析鉴定死者年龄 　　尽管现代科技提供了先进的法医学手段，但是人们却仍然无法准确判定一名死者在死亡时的具体年龄。DNA似乎并没有办法给出死者的年龄信息。 但是今年的情况似乎开始有了转机。美国加州大学洛杉矶分校的科学家们对唾液开展研究，他们发现对唾液遗传成分的分析或许将能够帮助法医获得死者去世时的年龄信息。 10 验血可以预测心脏病和癌症风险 验血可以预测心脏病和癌症风险 　　瑞典乌普萨拉大学的研究人员在今年8月份报告称只要进行一次简单的验血，医生们或许就能够判断哪个人最有可能死于心脏病或癌症。这是一项历时12年，对超过2000名志愿者进行的研究。他们发现人体内拥有较高水平组织蛋白酶S的人比那些体内这种酶的水平较低的人死亡的概率要高得多。这种催化酶的作用是帮助分解某些蛋白质，当人们体内存在心脏疾病或癌症时，其在体内的含量会出现上升，这可能对动脉粥样硬化的产生起到一定作用，因此研究人员们得出结论，体内这种酶的含量水平较高的人群将拥有更高的心脏病或癌症风险。组织蛋白酶S在脂肪组织中含量也较高，这和人们通常认识中肥胖者心血管疾病风险更高的说法是相符合的。(编辑 张颖)]]></description>
			<content:encoded><![CDATA[<p>杂志网站发布了2011年的十大医学突破评选结果。这些研究涵盖了从干细胞克隆研究到对抗疟疾和艾滋病的广泛医学分支领域，纪录着在过去的这一年中人类在了解自身奥秘和对抗最可怕疾病的道路上取得的丰硕成果。</p>
<p><strong>1 运用克隆技术制造干细胞</strong></p>
<p align="center"><img id="3428399" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a326.jpg" alt="" /></p>
<p align="center">运用克隆技术制造干细胞</p>
<p>　　这并非人体克隆，但已经非常接近了。科学家们报告他们利用“体细胞核转移”(SCNT)技术，即当年克隆出小羊“多利”的相同技术，在人体细胞上进行了同样的实验。这种技术简单来说就是将一个卵细胞中的遗传物质用一个成熟体细胞，如皮肤细胞中的DNA加以代替。随后卵细胞将开始分裂，如果一切顺利，最终它将产生一个和提供成熟体细胞的动物个体拥有完全相同遗传基因的克隆体。</p>
<p><strong>2 制成第一种疟疾疫苗</strong></p>
<p align="center"><img id="3428400" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a327.jpg" alt="" /></p>
<p align="center">制成第一种疟疾疫苗</p>
<p>　　疟疾每年在全球感染数以百万计的儿童，现在人类终于有了一种对抗它的利器——第一种针对疟疾的疫苗今年已经在撒哈拉以南地区的儿童中试验成功。结果显示这种新型疫苗能将疟疾感染率降低一半左右，考虑到这是人类开发的第一种此类疫苗，这一成果已经相当不易。</p>
<p><strong>3 找到抵御艾滋病侵袭的新途径</strong></p>
<p align="center"><img id="3428401" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a328.jpg" alt="" /></p>
<p align="center">找到抵御艾滋病侵袭的新途径</p>
<p>　　由于抗逆转录病毒(ARV)药物的研制成功，人类在对抗艾滋病的道路上取得长足进展。这种药物能显著降低患者体内的病毒水平，让身体保持健康并降低HIV人际传染的可能性。而最近的研究还发现这种药物不但能帮助病人对抗艾滋病，它还能帮助未受感染的健康人预防HIV病毒的感染。</p>
<p><strong>4 新的饮食营养均衡指导方案</strong></p>
<p align="center"><img id="3428402" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a429.jpg" alt="" /></p>
<p align="center">新的饮食营养均衡指导方案</p>
<p>　　每隔5年，美国联邦农业部以及健康与人类服务部都会按照惯例发布一份《美国人饮食指导意见》(DGA)。2011年的版本于1月份发布，这份意见呼吁美国人适当减少食物摄入量，并建议减少食盐，糖和脂肪的添加，并注意保持卡路里的摄入和消耗平衡。报告鼓励人们多吃蔬菜和植物性食品，以及海产品。同时它还建议民众采纳联邦政府提出的适量运动建议，即每名成年人每周应保证大约150分钟的适度运动。</p>
<p><strong>5 在实验室中培育人体身体器官</strong></p>
<p align="center"><img id="3428403" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a42a.jpg" alt="" /></p>
<p align="center">在实验室中培育人体身体器官</p>
<p>　　科学家们开始尝试在实验室中人工培育可用于移植的人体器官，并且这一项目已经开始取得切实的进展。2011年3月份，美国威克森林大学再生医学研究所的安东尼·阿塔拉(Anthony Atala)博士成功制造出了人的尿道。</p>
<p><strong>6 细菌和结肠癌之间的神秘关联</strong></p>
<p align="center"><img id="3428404" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a42b.jpg" alt="" /></p>
<p align="center">细菌和结肠癌之间的神秘关联</p>
<p>　　结肠癌是由细菌引发的吗？2011年10月份，两个研究小组发布了几乎相同的报告，指出一种名为“梭杆菌”(Fusobacteria)的细菌很不寻常，它们平常在很少出现在人体肠道内，但是研究发现它们在结肠癌细胞中却异常活跃，并且似乎显示它们与肿瘤的恶性程度存在相关性。</p>
<p><strong>7 新型减肥药</strong></p>
<p align="center"><img id="3428405" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a62c.jpg" alt="" /></p>
<p align="center">新型减肥药</p>
<p>　　如果说在减肥领域有永恒真理的话，那就是：世上没有神奇减肥药能一下子让你减肥成功。至少，现在还没有。</p>
<p>不过，今年一种名为“Qnexa”的实验性药物显示它能让服用者在大约1年的时间内降低10%的体重。这种药物其实是两种现有药物的配制品，即减肥药物“芬特明”和抗癫痫药物“托吡酯”的混合物。这种混合药剂主要通过两方面入手来对抗肥胖问题，首先其中的芬特明成分是安非他明，即苯丙胺的近似药物，这实际上是一种兴奋剂，尽管其长期使用的潜在副作用尚不明确，但是它的确能抑制人体的饥饿感；而另一方面，托吡酯作为一种对抗医学上对抗癫痫的药物，能够帮助平衡人体大脑内的神经电信号联系，这同样能抑制人的食欲。</p>
<p><strong>8 狗能嗅出肺癌</strong></p>
<p align="center"><img id="3428406" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a62d.jpg" alt="" /></p>
<p align="center">狗能嗅出肺癌</p>
<p>　　人类长久以来最好的伙伴——狗，看来也即将变成医生们最好的助手。众所周知，狗拥有极度灵敏的嗅觉，但是一项最新研究显示，狗的嗅觉甚至敏锐到能够从人的呼吸中嗅出此人是否患有癌症。德国研究人员花费9个月时间对狗加以训练，让它们尝试区分取自肺癌患者的呼气样本和健康人的呼气样本。结果测试显示，一只狗能够对100份样本中的761份做出正确的判断，并可以准确地从混合的样本群中找出93%的健康样本。</p>
<p><strong>9 利用唾液分析鉴定死者年龄</strong></p>
<p align="center"><img id="3428407" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a72e.jpg" alt="" /></p>
<p align="center">利用唾液分析鉴定死者年龄</p>
<p>　　尽管现代科技提供了先进的法医学手段，但是人们却仍然无法准确判定一名死者在死亡时的具体年龄。DNA似乎并没有办法给出死者的年龄信息。</p>
<p>但是今年的情况似乎开始有了转机。美国加州大学洛杉矶分校的科学家们对唾液开展研究，他们发现对唾液遗传成分的分析或许将能够帮助法医获得死者去世时的年龄信息。</p>
<p><strong>10 验血可以预测心脏病和癌症风险</strong></p>
<p align="center"><img id="3428408" src="http://tech.southcn.com/t/images/attachement/jpg/site4/20111208/90fba69c4684104a97a72f.jpg" alt="" /></p>
<p align="center">验血可以预测心脏病和癌症风险</p>
<p>　　瑞典乌普萨拉大学的研究人员在今年8月份报告称只要进行一次简单的验血，医生们或许就能够判断哪个人最有可能死于心脏病或癌症。这是一项历时12年，对超过2000名志愿者进行的研究。他们发现人体内拥有较高水平组织蛋白酶S的人比那些体内这种酶的水平较低的人死亡的概率要高得多。这种催化酶的作用是帮助分解某些蛋白质，当人们体内存在心脏疾病或癌症时，其在体内的含量会出现上升，这可能对动脉粥样硬化的产生起到一定作用，因此研究人员们得出结论，体内这种酶的含量水平较高的人群将拥有更高的心脏病或癌症风险。组织蛋白酶S在脂肪组织中含量也较高，这和人们通常认识中肥胖者心血管疾病风险更高的说法是相符合的。(编辑 张颖)</p>
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		<title>脑的赞歌Ode to the Brain</title>
		<link>http://www.91bio.com/brain-hymn-ode-to-the-brain/</link>
		<comments>http://www.91bio.com/brain-hymn-ode-to-the-brain/#comments</comments>
		<pubDate>Tue, 13 Dec 2011 02:19:37 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645559</guid>
		<description><![CDATA[找生物-科学家合唱的脑的赞歌-科学的旋律 Ode to the Brain- Symphony of Science 介绍： 脑的赞歌 科学交响乐 荣誉出品 字幕翻译 by PirateH 演员表：（按出场先后顺序） Robert Winston &#8211; 英国科学家、医生、BBC科学及医学节目专家 Vilayanur Ramachandran &#8211; 神经学家、心理学家、加州大学教授 Carl Sagan &#8211; 著名天文学家、科普作家 Jill Bolte Taylor － 神经科学家、Indiana大学教授、哈佛脑组织研究中心教员 Bill Nye &#8211; 工程师、演员、知名电视科普节目主持人 Oliver Sacks &#8211; 英国伦敦著名脑神经学家、科普作家 视频内容： [Robert Winston] It&#8217;s amazing to consider that I&#8217;m holding in my hands The [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-科学家合唱的脑的赞歌-科学的旋律<br />
Ode to the Brain- Symphony of Science<br />
介绍：<br />
脑的赞歌<br />
科学交响乐 荣誉出品<br />
字幕翻译 by PirateH<br />
演员表：（按出场先后顺序）<br />
Robert Winston &#8211; 英国科学家、医生、BBC科学及医学节目专家<br />
Vilayanur Ramachandran &#8211; 神经学家、心理学家、加州大学教授<br />
Carl Sagan &#8211; 著名天文学家、科普作家<br />
Jill Bolte Taylor － 神经科学家、Indiana大学教授、哈佛脑组织研究中心教员<br />
Bill Nye &#8211; 工程师、演员、知名电视科普节目主持人<br />
Oliver Sacks &#8211; 英国伦敦著名脑神经学家、科普作家<br />
<embed src="http://player.youku.com/player.php/sid/XMjg1NzQ4NTky/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed></p>
<p>视频内容：<br />
[Robert Winston]<br />
It&#8217;s amazing to consider that I&#8217;m holding in my hands<br />
The place where someone once felt, thought, and loved<br />
For centuries, scientists have been battling to understand<br />
What this unappealing object is all about</p>
<p>[Vilayanur Ramachandran]<br />
Here is this mass of jelly<br />
You can hold in the palm of your hands<br />
And it can contemplate the vastness of interstellar space</p>
<p>[Carl Sagan]<br />
The brain has evolved from the inside out<br />
It&#8217;s structure reflects all the stages through which it has passed</p>
<p>[Jill Bolte Taylor]<br />
Information in the form of energy<br />
Streams in simultaneously<br />
Through all of our sensory systems</p>
<p>And then it explodes into this enormous collage<br />
Of what this present moment looks like<br />
What it feels like<br />
And what it sounds like</p>
<p>And then it explodes into this enormous collage<br />
And in this moment we are perfect<br />
We are whole and we are beautiful</p>
<p>[Robert Winston]<br />
It appears rather gruesome<br />
Wrinkled like a walnut, and with the consistency of mushroom</p>
<p>[Carl Sagan]<br />
What we know is encoded in cells called neurons<br />
And there are something like a hundred trillion neural connections<br />
This intricate and marvelous network of neurons has been called<br />
An enchanted loom</p>
<p>The neurons store sounds too, and snatches of music<br />
Whole orchestras play inside our heads</p>
<p>20 million volumes worth of information<br />
Is inside the heads of every one of us<br />
The brain is a very big place<br />
In a very small space</p>
<p>No longer at the mercy of the reptile brain<br />
We can change ourselves<br />
Think of the possibilities</p>
<p>[Bill Nye]<br />
Think of your brain as a newspaper<br />
Think of all the information it can store<br />
But it doesn&#8217;t take up too much room<br />
Because it&#8217;s folded</p>
<p>[Oliver sacks]<br />
We see with the eyes<br />
But we see with the brain as well<br />
And seeing with the brain<br />
Is often called imagination</p>
<p>[Various]</p>
<p>[Robert Winston]<br />
It is the most mysterious part of the human body<br />
And yet it dominates the way we live our adult lives<br />
It is the brain</p>
]]></content:encoded>
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		<title>学生物的有没有感慨，看看这个视频吧！</title>
		<link>http://www.91bio.com/student-objects-have-feelings-look-at-this-video-now/</link>
		<comments>http://www.91bio.com/student-objects-have-feelings-look-at-this-video-now/#comments</comments>
		<pubDate>Mon, 12 Dec 2011 02:06:25 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645555</guid>
		<description><![CDATA[Invitrogen制作的一部音乐视频：The Ph.Diddy is on the scene！献给每天没日没夜在实验室挣扎的生物学童鞋！我们都是BTer！ 视频内容：来自生物库 I was the black belt of my class, marked out as an achiever. First day on the job, enter the gene-weaver. My future colleagues look up from the PCR machine, checking me out man. The Ph.Diddy’s on the scene. So I claim my pipette and pimp it up [...]]]></description>
			<content:encoded><![CDATA[<p>Invitrogen制作的一部音乐视频：The Ph.Diddy is on the scene！献给每天没日没夜在实验室挣扎的生物学童鞋！我们都是BTer！</p>
<p>视频内容：来自<a title="生物库" href="http://www.bioku.net" target="_blank">生物库</a><br />
<embed src="http://player.youku.com/player.php/sid/XMzIxOTcxNDYw/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed><br />
I was the black belt of my class, marked out as an achiever. First day on the job, enter the gene-weaver.<br />
My future colleagues look up from the PCR machine, checking me out man. The Ph.Diddy’s on the scene.<br />
So I claim my pipette and pimp it up to halt the theivin’. Get the thermocycler going, my samples cool chilling.<br />
Yeah, I shoot my tips like I’ve been here all my life. Wait for instrument time with my free pizza slice.<br />
I run my first Western blot. Man, this lab scene is easy. But wait up, hold a minute. I’m feeling kinda queasy.<br />
Is that Trizol I can smell? Oh, my head’s in a spin! ‘ve gone and dropped my freakin’ sample in the biohaz bin.</p>
<p>He’s a super fly grad. Life plans to shape the future, that’s right!<br />
Sees his name in lights and a centre spread in Nature. All right!</p>
<p>I’m always splitting cells, always working late. I’ve cleared the biohazard bin so much I herniate.<br />
Got samples botched, samples lost, samples dropped on the floor. Messy benches, empty buffers, lab politics galore.<br />
My PI’s buggin’. Man he sounds like my father. Western blot once again, but development shows nada.<br />
I’m doin’ my time in the cell culture hood – at the weekend bro. It’s the only time I could!<br />
Then suddenly my data is starting to make sense. Even Western blot bands start to make an appearance.<br />
So I repeat once again all the steps I need to follow. But every culture well… turned yellow.</p>
<p>He’s a super fly grad. Life plans to shape the future, that’s right!<br />
Sees his name in lights and a centre spread in Nature. All right!<br />
I’m talkin’ ’bout the ooh, ooh…</p>
<p>Serum and media get swiped with no apology. And all my cells are showing abnormal morphology.<br />
So now my PI’s freaking, “Find something you can prove!” But contamination aggravation knocks me off my groove.<br />
So I stay late once again as the lab detainee. Yeah, its 9 pm but the thermocycler’s free<br />
I don’t understand! What’s happened now? That’s it. Yeah, time to give up. I’m throwing in the towel.</p>
<p>Ooh, ooh, supergrad. I’m talkin’ ’bout the ooh, ooh… Super bad lab grad, yeah!<br />
Ooh, ooh, supergrad. I’m talkin’ ’bout the ooh, ooh… Super bad lab grad, yeah!</p>
<p>My transfection worked – confirmed with Pol II chIP – mutagenesis determined the TF targeted.<br />
I’m not going down! I can still do BioChem! My genes will express, I’m gonna beat it out of them.<br />
And yeah, I must have results that no one can undress. And quickly move my paper from in prep to in press.<br />
I’m finally finished writing the discussion, whilst my PI once again, “tweaks” my introduction.<br />
So, here we go, yo. Here’s the scenario: Peer review’s due to hit. When exactly? I don’t know.<br />
My paper will be published. My research is legit. OK it’s not quite Nature but, I think I nailed it!</p>
<p>He’s a super fly grad. Life plans to shape the future, that’s right!<br />
Sees his name in lights and a centre spread in Nature. All right!<br />
He’s a super fly grad. Life plans to shape the future, that’s right!<br />
Sees his name in lights and a centre spread in Nature. All right!<br />
Ooh, ooh, supergrad. I’m talkin’ ’bout the ooh, ooh… Super bad lab grad, yeah!<br />
<img alt="" src="http://www.bioku.net/wp-content/uploads/2011/12/diddy.jpg" title="ship" class="aligncenter" width="587" height="345" /></p>
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		<title>移液器使用宝典（2）</title>
		<link>http://www.91bio.com/pipette-use-collection-2/</link>
		<comments>http://www.91bio.com/pipette-use-collection-2/#comments</comments>
		<pubDate>Sat, 10 Dec 2011 01:14:57 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[移液器]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645549</guid>
		<description><![CDATA[本文是对移液器使用宝典的补充，同样来自丁香园战友分享。 1. 最佳量程范围： 移液器范围在满量程的35%-100%，可以保证最佳的精度和重复度。 2. 吸液速度： （1）避免吸液速度过快； （2）移液速度保持均匀； （3）保持移液的节奏和压力一致 3. 吸头浸入角度： 保持吸头浸入角度垂直或和垂直方向倾角不超过20度。（原来移液器还是可以倾斜的嘛） 4. 吸头浸入深度： （1）移液器量程是0.1-10ul， 则浸入深度为1-2mm； （2）移液器量程是10-200ul，则浸入深度为2-3mm； （3）移液器量程是200-2000ul，则浸入深度为3-6mm； （4）移液器量程大于2000ul，则浸入深度为3-6mm； （这个平时基本没有怎么注意啊） 5. 吸头浸入时间： 使吸头在样品中保持1秒（大容量吸头适当延长时间），在吸液后缓慢平稳地抽出吸头 6. 使用小贴士： （1）反向移液（适用于高粘度或易挥发样品），吸液时直接将按钮按到第二档释放，排液时只需要按到第一档即可； （2）安装吸头：移液器套柄用力下压并小幅度旋转即可，避免用力敲击枪头； （3）当天使用完毕后，请将移液器调整到最大量程； （4）不使用移液器时，请将其挂在支架上，避免平放在；工作台上或者抽屉里（哎呀，我们每次都是放在抽屉里了） （5）定期对套柄表面清洁。]]></description>
			<content:encoded><![CDATA[<p>本文是对<a title="移液器使用宝典（1）" href="http://www.91bio.com/pipette-use-collection/" target="_blank">移液器使用宝典</a>的补充，同样来自丁香园战友分享。</p>
<p style="text-align: center;"><img class="aligncenter" title="yyq" src="http://www.thermo.com.cn/pictures/201101/30164518195.JPG" alt="" width="371" height="440" /></p>
<p><span>1. 最佳量程范围：</span><br />
移液器<span><strong>范围在满量程的35%-100%</strong></span>，可以保证最佳的精度和重复度。</p>
<p><strong><span>2. 吸液速度：</span></strong><br />
（1）避免吸液速度过快；<br />
（2）移液速度保持均匀；<br />
（3）保持移液的节奏和压力一致</p>
<p><span><strong>3. 吸头浸入角度：</strong></span><br />
保持吸头浸入角度垂直<span><strong>或和垂直方向倾角不超过20度</strong>。（<strong><span>原来移液器还是可以倾斜的嘛</span></strong>）</p>
<p></span><span><span><strong>4. 吸头浸入深度：</strong></span><br />
（1）移液器量程是<strong><span>0.1-10ul</span></strong>， 则浸入深度为<strong><span>1-2mm</span></strong>；<br />
（2）移液器量程是<strong><span>10-200ul</span></strong>，则浸入深度为<strong><span>2-3mm</span></strong>；<br />
（3）移液器量程是<strong><span>200-2000ul</span></strong>，则浸入深度为<strong><span>3-6mm</span></strong>；<br />
（4）移液器量程<strong><span>大于2000ul</span></strong>，则浸入深度为<span><strong>3-6mm</strong></span>；<br />
</span><span><strong>（这个平时基本没有怎么注意啊）</p>
<p><span>5. 吸头浸入时间：</span></strong><br />
使吸头在样品中<strong><span>保持1秒</span></strong>（大容量吸头适当延长时间），在吸液后缓慢平稳地抽出吸头</p>
<p><strong><span>6. 使用小贴士：<br />
</span></strong>（1）<strong><span>反向移液</span></strong>（适用于高粘度或易挥发样品），吸液时直接将按钮按到第二档释放，排液时只需要按到第一档即可；<br />
（2）安装吸头：移液器套柄用力下压并小幅度旋转即可，避免用力敲击枪头；<br />
（3）当天使用完毕后，请将移液器调整到最大量程；<br />
（4）不使用移液器时，请将其挂在支架上，避免平放在；工作台上或者抽屉里（哎呀，我们每次都是放在抽屉里了）<br />
（5）定期对套柄表面清洁。</span></p>
]]></content:encoded>
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		</item>
		<item>
		<title>移液器使用宝典（1）</title>
		<link>http://www.91bio.com/pipette-use-collection/</link>
		<comments>http://www.91bio.com/pipette-use-collection/#comments</comments>
		<pubDate>Sat, 10 Dec 2011 01:07:13 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[移液器]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645546</guid>
		<description><![CDATA[找生物-分享有趣、实用生物实验技巧！这篇《移液器使用宝典》源自丁香园的战友整理，转载分享下！ 一、移液器的工作原理 移液器的工作原理是活塞通过弹簧的伸缩运动来实现吸液和放液。 在活塞推动下， 排出部分空气， 利用大气压吸入液体， 再由活塞推动空气排出液体。 使用移液器时， 配合弹簧的伸缩性特点来操作，可以很好地控制移液的速度和力度。 二、移液器的操作使用 1.移液器规范操作步骤 第一步   设定移液体积 从大体积调节至小体积时，为正常调节方法，逆时针旋转刻度即可，从小体积调节至大体积时，可先顺时针调至超过设定体积的刻度，再回调至设定体积，可保证最佳的精确度。 （见图1） 第二步    装配移液器吸头： 将移液器端垂直插入吸头，左右微微转动，上紧即可； 特别提示：用移液器反复撞击吸头来上紧的方法是非常不可取的，长期这样操作，会导致移液器中的零部件因强烈撞击而松散，甚至会导致调节刻度的旋钮卡住。 （见图 2） 第三步   吸液和放液 吸液 ↓ 吸头尖端需浸入液面3 mm 以下 ↓ 慢吸慢放，控制好弹簧的伸缩速度 ↓ 放液时吸头尖端靠在容器内壁 2.移液小技巧 ●  预润湿吸液 粘稠液体可以通过吸头预润湿的方式来达到精确移液，先吸入样液，打出，  吸头内壁会吸附一层液体，使表面吸附达到饱和，然后再吸入样液，最后打  出液体的体积会很精确。 ●  正向吸液与反向吸液 正向吸液是指正常的吸液方式（见图 4） ，操作时吸液可将按钮按到第一档  吸液，释放按钮。放液时先按下第一档，打出大部分液体，再按下第二档，  将余液排出。 反向吸液（见图5）是指吸液时将按钮直接按到第二档再释放，这样会多吸入一些液体，打出液体时只要按到第一档即可。多吸入的液体可以补偿吸头内部的表面吸附，反向吸液一般与预润湿吸液方式结合使用，适用于粘稠液体和易挥发液体。 3.错误的操作方式 错误：  装配吸头时用移液器反复撞击吸头，以上紧 正确：  插入吸头，左右轻转旋转上紧吸头 错误：  吸头与移液器不匹配， 影响气密性 正确：  选用与移液器匹配的，有质量保证的吸头 错误：  吸液时，移液器倾斜吸液 正确：  垂直吸液 错误：  吸头内含有未打出的液体时，移液器平置于桌面 正确：  将移液器垂直挂在移液器支架上 错误：  用大量程的移液器移取小体积的液体 正确：  移液体积需保证在移液器所提供的量程范围之内才符合不准确度和不精确度的要求 错误：  吸取具有强挥发性的液体 正确：  如果一定要移取强挥发性的液体，应该在移液结束后立刻拆开移液器，让蒸汽挥发，同时，建议使用外置活塞式移液器。 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用生物实验技巧！这篇《移液器使用宝典》源自丁香园的战友整理，转载分享下！</p>
<p><span style="color: purple;"><strong>一、移液器的工作原理</strong></span></p>
<p>移液器的工作原理是活塞通过弹簧的伸缩运动来实现吸液和放液。 在活塞推动下，<br />
排出部分空气， 利用大气压吸入液体， 再由活塞推动空气排出液体。 使用移液器时，<br />
配合弹簧的伸缩性特点来操作，可以很好地控制移液的速度和力度。</p>
<p><span style="color: purple;"><strong>二、移液器的操作使用</strong></span></p>
<p><span style="color: blue;"><strong>1.移液器规范操作步骤</strong></span></p>
<p><span style="color: green;"><strong>第一步   设定移液体积</strong></span></p>
<p>从大体积调节至小体积时，为正常调节方法，逆时针旋转刻度即可，从小体积调节至大体积时，可先顺时针调至超过设定体积的刻度，再回调至设定体积，可保证最佳的精确度。 （见图1）</p>
<p><span style="color: green;"><strong>第二步    装配移液器吸头：</strong></span></p>
<p>将移液器端垂直插入吸头，左右微微转动，上紧即可；</p>
<p><span style="color: red;"><strong>特别提示：</strong></span>用移液器反复撞击吸头来上紧的方法是非常不可取的，长期这样操作，会导致移液器中的零部件因强烈撞击而松散，甚至会导致调节刻度的旋钮卡住。 （见图 2）</p>
<p><span style="color: green;"><strong>第三步   吸液和放液</strong></span></p>
<p>吸液<br />
↓<br />
吸头尖端需浸入液面3 mm 以下<br />
↓<br />
慢吸慢放，控制好弹簧的伸缩速度<br />
↓<br />
放液时吸头尖端靠在容器内壁</p>
<p><span style="color: blue;"><strong>2.移液小技巧</strong></span></p>
<p>●  <strong><span style="color: green;">预润湿吸液</span></strong></p>
<p>粘稠液体可以通过吸头预润湿的方式来达到精确移液，先吸入样液，打出，  吸头内壁会吸附一层液体，使表面吸附达到饱和，然后再吸入样液，最后打  出液体的体积会很精确。</p>
<p>●  <span style="color: green;"><strong>正向吸液与反向吸液</strong></span></p>
<p>正向吸液是指正常的吸液方式（见图 4） ，操作时吸液可将按钮按到第一档  吸液，释放按钮。放液时先按下第一档，打出大部分液体，再按下第二档，  将余液排出。</p>
<p>反向吸液（见图5）是指吸液时将按钮直接按到第二档再释放，这样会多吸入一些液体，打出液体时只要按到第一档即可。多吸入的液体可以补偿吸头内部的表面吸附，反向吸液一般与预润湿吸液方式结合使用，适用于粘稠液体和易挥发液体。</p>
<p><strong><span style="color: blue;">3.错误的操作方式</span></strong></p>
<p><span style="color: red;">错误：</span>  装配吸头时用移液器反复撞击吸头，以上紧<br />
<span style="color: green;">正确：</span>  插入吸头，左右轻转旋转上紧吸头</p>
<p><span style="color: red;">错误：</span>  吸头与移液器不匹配， 影响气密性<br />
<span style="color: green;">正确：</span>  选用与移液器匹配的，有质量保证的吸头</p>
<p><span style="color: red;">错误：</span>  吸液时，移液器倾斜吸液<br />
<span style="color: green;">正确：</span>  垂直吸液</p>
<p><span style="color: red;">错误：</span>  吸头内含有未打出的液体时，移液器平置于桌面<br />
<span style="color: green;">正确：</span>  将移液器垂直挂在移液器支架上</p>
<p><span style="color: red;">错误：</span>  用大量程的移液器移取小体积的液体<br />
<span style="color: green;">正确：</span>  移液体积需保证在移液器所提供的量程范围之内才符合不准确度和不精确度的要求</p>
<p><span style="color: red;">错误：</span>  吸取具有强挥发性的液体<br />
<span style="color: green;">正确：</span>  如果一定要移取强挥发性的液体，应该在移液结束后立刻拆开移液器，让蒸汽挥发，同时，建议使用外置活塞式移液器。</p>
<p><span style="color: red;">错误：</span>  吸液速度和放液速度过快<br />
<span style="color: green;">正确：</span>  慢吸慢放</p>
<p><span style="color: purple;"><strong>三、实验室内移液器的自行快速检测</strong></span></p>
<p>移液器在使用过程中，如果怀疑其精确度，可根据以下提示自行检测：</p>
<p><span style="color: blue;"><strong>怀疑一：移液器是否有漏气？</strong></span></p>
<p><strong>1.  自行检测：</strong><br />
目视法检测：将吸取液体后的移液器垂直静置15秒，观察是否有液滴缓慢<br />
的流出。若有流出，说明有漏气现象。<br />
压力泵检测：使用专用的压力泵，检测压力情况，判断是否漏气。</p>
<p><strong>2.  可能的原因：</strong><br />
-  吸头是否匹配？<br />
—— 使用原装匹配的吸头<br />
-  装配吸头时有无上紧？<br />
-  移液器内部气密性不好？<br />
—— 与Eppendorf公司维修工程师联系</p>
<p><span style="color: blue;"><strong>怀疑二：液体、移液器、吸头以及环境的温度差异是否会影响移液器的准确度？</strong></span></p>
<p>移取液体的温度与吸头和移液器的温度不一致的情况下，液体温度高于吸<br />
头的，移取的液体体积会偏大，液体温度低于吸头的，移取的液体体积会<br />
偏小。</p>
<p><strong><span style="color: blue;">怀疑三：液体样品的密度和水是否有非常明显的区别？</span></strong></p>
<p>Eppendorf 移液器出厂前的校准是用水作为标准液进行测试的，如果所操<br />
作的液体与水的比重有很大差异，所给出的不精确度和不准确度就不能满<br />
足，从而产生误差。</p>
<p><span style="color: blue;"><strong>怀疑四：吸液速度太快，是否会导致移液体积不准确？</strong></span></p>
<p>吸液速度太快会产生反冲和气泡，导致移液体积不准确。</p>
<p><span style="color: green;">ps：移液器长时间不用时建议将刻度调至最大量程，让弹簧恢复原形，延长移液器的使用寿命。</span></p>
<p><a href="http://www.91bio.com"><img src="http://fs0.139js.com/file/HlHc9.jpg" alt="细胞3" /></a></p>
]]></content:encoded>
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		</item>
		<item>
		<title>13大移液器操作技巧</title>
		<link>http://www.91bio.com/13-large-pipette-operating-techniques/</link>
		<comments>http://www.91bio.com/13-large-pipette-operating-techniques/#comments</comments>
		<pubDate>Fri, 09 Dec 2011 11:13:05 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[移液器]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645543</guid>
		<description><![CDATA[找生物-分享有趣、实用试验技巧！继续咱们的移液器相关技巧系列文章，今天介绍一下梅特勒公司总结的移液器操作技巧《良好的移液技法》。 文件名：良好移液技法.doc 文件大小：320 KB 下载地址：http://1000eb.com/5e4y 前言：移液结果会很容易受到使用技法的影响。为了获得最佳结果，需要采用良好的移液技法。本系列教育电子快讯将向您介绍关于获得最佳性能的技巧和窍门。 技巧 1：一致性 在按压与释放定位销时，需要保持一致的节奏、速度和技法。 吸液速度过快会导致套柄与活塞喷溅、产生气雾以及受到污染，甚至导致样品量损耗。 一致性可使准确度提高达 5%。 技巧 2：正确填充吸头 当某一吸头的建议（标称）范围为最大吸头容量（标称容量）的 10% 至 100% 时，可在 35% 至 100% 这一较小以及优化的范围内实现最高精确度。 在如此小的范围内移液会减少对操作人员技法的要求，并可将结果准确度提高约 1%。 当达到标称容量的 50% 时可提供最佳结果。 技巧 3：吸液时保持垂直入水角 使入水角尽可能地接近垂直位置 – 否则垂直液柱较小，这样将会吸入过多样品。 （分液时，吸头应当与容器壁保持较小角度，从而确保良好的排液效果。关于分液的更多技巧将在下一期电子快讯中提供） 使用垂直位置（尤其是使用微量移液器时），可使准确度提高达 2%。 技巧 4：一致性千分尺设置 始终从同一方向设置您的千分尺。 最好从高至低进行： 在将容量设置从高容量减少降至低容量时，只需将表盘下调至所需容量设置。 提高容量设置时，转动选择轮使其略微超过所需容量，然后缓慢回调至正确设置。这可避免机械回冲。 正确设置容量可使准确度提高达 0.5%。 技巧 5：吸头入水深度 正确的吸头入水深度对于微量移液器尤为重要。如果吸头入水过深，则随着压力的加大，吸液量将会增多。保留在吸头表面的液体会影响结果。如果吸头未入水过深，则会造成空气进入，从而产生气泡以及导致容量不准确。正确的入水深度可使准确度提高达 5%。  移液器容量  入水深度  2 与 10ul  1mm  20 与 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用试验技巧！继续咱们的移液器相关技巧系列文章，今天介绍一下梅特勒公司总结的移液器操作技巧《良好的移液技法》。</p>
<p>文件名：良好移液技法.doc<br />
文件大小：320 KB<br />
下载地址：<a href="http://1000eb.com/5e4y" target="_blank">http://1000eb.com/5e4y</a></p>
<p>前言：<strong>移液结果会很容易受到使用技法的影响。为了获得最佳结果，需要采用良好的移液技法。本系列教育电子快讯将向您介绍关于获得最佳性能的技巧和窍门。</strong></p>
<p><strong>技巧 1：一致性</strong><br />
在按压与释放定位销时，需要保持一致的节奏、速度和技法。<br />
吸液速度过快会导致套柄与活塞喷溅、产生气雾以及受到污染，甚至导致样品量损耗。<br />
一致性可使准确度提高达 5%。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_1_07_GPP_ooo_Editorial-News_1170248754053_files.Par_.PipetteCalibration_056_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_1_07_GPP_ooo_Editorial-News_1170248754053_files.Par_.PipetteCalibration_056_jpg.Image_.jpeg" alt="" width="150" height="200" border="0" /></a></p>
<p><strong>技巧 2：正确填充吸头</strong><br />
当某一吸头的建议（标称）范围为最大吸头容量（标称容量）的 10% 至 100% 时，可在 35% 至 100% 这一较小以及优化的范围内实现最高精确度。<br />
在如此小的范围内移液会减少对操作人员技法的要求，并可将结果准确度提高约 1%。<br />
当达到标称容量的 50% 时可提供最佳结果。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_1_07_GPP_ooo_Editorial-News_1170248754053_files.Par_.Correct_Tip_Filling_klein_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_1_07_GPP_ooo_Editorial-News_1170248754053_files.Par_.Correct_Tip_Filling_klein_jpg.Image_.jpeg" alt="" width="154" height="206" border="0" /></a></p>
<p><strong>技巧 3：吸液时保持垂直入水角</strong><br />
使入水角尽可能地接近垂直位置 – 否则垂直液柱较小，这样将会吸入过多样品。<br />
（分液时，吸头应当与容器壁保持较小角度，从而确保良好的排液效果。关于分液的更多技巧将在下一期电子快讯中提供）<br />
使用垂直位置（尤其是使用微量移液器时），可使准确度提高达 2%。</p>
<p><img src="http://fmn.rrfmn.com/fmn058/20111017/1040/b_large_SrHc_413800007fa91264.jpg" alt="" border="0" /></p>
<p><strong>技巧 4：一致性千分尺设置</strong><br />
始终从同一方向设置您的千分尺。<br />
最好从高至低进行：<br />
在将容量设置从高容量减少降至低容量时，只需将表盘下调至所需容量设置。<br />
提高容量设置时，转动选择轮使其略微超过所需容量，然后缓慢回调至正确设置。这可避免机械回冲。<br />
正确设置容量可使准确度提高达 0.5%。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_2_07_GPP_ooo_Editorial-News_1174390186992_files.Par_.Micrometer_Setting_klein_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_2_07_GPP_ooo_Editorial-News_1174390186992_files.Par_.Micrometer_Setting_klein_jpg.Image_.jpeg" alt="" width="126" height="200" border="0" /></a></p>
<p><strong>技巧 5：吸头入水深度</strong><br />
正确的吸头入水深度对于微量移液器尤为重要。如果吸头入水过深，则随着压力的加大，吸液量将会增多。保留在吸头表面的液体会影响结果。如果吸头未入水过深，则会造成空气进入，从而产生气泡以及导致容量不准确。正确的入水深度可使准确度提高达 5%。</p>
<table width="250">
<tbody>
<tr>
<td> <strong>移液器容量</strong></td>
<td><strong> 入水深度</strong></td>
</tr>
<tr>
<td> 2 与 10ul</td>
<td> 1mm</td>
</tr>
<tr>
<td> 20 与 100ul</td>
<td> 2-3mm</td>
</tr>
<tr>
<td> 200 与 1000ul</td>
<td> 3-6mm</td>
</tr>
<tr>
<td> 5000ul 与 10ML</td>
<td> 6-10mm</td>
</tr>
</tbody>
</table>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_3_07_GPP_ooo_Editorial-News_1177088420195_files.Par_.ImmersionDepth_small_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_3_07_GPP_ooo_Editorial-News_1177088420195_files.Par_.ImmersionDepth_small_jpg.Image_.jpeg" alt="" width="200" height="306" border="0" /></a></p>
<p><strong>技巧 6：分液技法</strong><br />
对于大多数应用而言，建议在分液时将吸头的末端贴靠容器壁。这可减少或者消除分液后残留在吸头上的样品。沿侧壁向上滑动吸头末端将移液器拆下，从而去除吸头孔处的任何残留液滴。此技法可使结果准确度提高达 1%。</p>
<p>另一种技法是直接分液到液体表面。使用诸如 RAININ FinePoint 吸头之类的薄壁吸头十分重要，这是因为这些吸头允许充分排液。</p>
<p>如果直接分液至液体中，则建议进行反向模式移液，从而防止分液后吸液。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_3_07_GPP_ooo_Editorial-News_1177088420195_files.Par_.Dispensing_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_3_07_GPP_ooo_Editorial-News_1177088420195_files.Par_.Dispensing_jpg.Image_.jpeg" alt="" width="200" height="300" border="0" /></a></p>
<p><strong>技巧 7：预清洗</strong><br />
移液前至少预清洗两遍，从而补偿位于吸头内部的液体。这还有助于中和毛细管效果以及使移液器内部的空气温度等于样品温度。<br />
使用正在分液的相同液体进行预清洗。<br />
使用吸头吸液，然后将其重新分液至储罐或者废液箱<br />
预清洗可为所有等分溶液提供相同的接触表面<br />
当与水液一同使用时，两次预先冲洗可使准确度提高达 0.2%</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_4_07_GPP_ooo_Editorial-News_1183650806767_files.Par_.Number_of_Pre-rinses_en_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_4_07_GPP_ooo_Editorial-News_1183650806767_files.Par_.Number_of_Pre-rinses_en_jpg.Image_.jpeg" alt="" width="250" height="156" border="0" /></a></p>
<p><strong>技巧 8：预清洗异常处理</strong><br />
尽管预清洗在大多数情况下可提高准确性，但是当对非常温和或者冰冷的溶液进行移液时，它会对结果产生不利影响。</p>
<p>不建议进行预清洗的例外情况为：<br />
- 对非常冰冷的溶液（如：冰浴）进行移液<br />
- 对 37°C 或以上的温和溶液进行移液</p>
<p>对温和或者冰冷溶液进行预清洗有可能造成高达 5% 的错误率。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_4_07_GPP_ooo_Editorial-News_1183650806767_files.Par_.Pre-rinsing_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_4_07_GPP_ooo_Editorial-News_1183650806767_files.Par_.Pre-rinsing_jpg.Image_.jpeg" alt="" width="200" height="267" border="0" /></a></p>
<p><strong>技巧 9：恒定室温</strong><br />
在恒定室温条件下移液。移液的理想室温为 +- 21.5°C，此温度同样适用于校准。防止温度大幅度或者突然变化，这是因为移液器中的空气无法足够快速地适应，以及样品量可能会受到影响。在恒温条件下移液可使准确度提高达 5%。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_5_07_GPP_ooo_Editorial-News_1189765864851_files.Par_.No_Temperature_Drop_small_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_5_07_GPP_ooo_Editorial-News_1189765864851_files.Par_.No_Temperature_Drop_small_jpg.Image_.jpeg" alt="" width="200" height="256" border="0" /></a></p>
<p><strong>技巧 10：始终垂直存放移液器</strong><br />
不要将移液器平放在抽屉内或者工作台上。这有可能损坏套柄末端，从而造成泄漏。此外，残留液体还会流入套柄中，从而污染移液器。正确储存移液器可防止不可估量的错误以及保护仪器。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_5_07_GPP_ooo_Editorial-News_1189765864851_files.Par_.Vertical_Stand_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_5_07_GPP_ooo_Editorial-News_1189765864851_files.Par_.Vertical_Stand_jpg.Image_.jpeg" alt="" width="200" height="276" border="0" /></a></p>
<p><strong>技巧 11：吸头入水时间</strong><br />
在将样品吸入吸头时，在样品中的入水时间是良好移液技法中的关键因素。在平稳松开定位销按钮之后，必须进行短暂暂停，然后再从样品中取出，以确保将全量样品吸入吸头中。如果量较大以及对于粘性物质而言，必须在等候较长时间后再取出，因为移液器中的气室需要一秒钟的时间才能实现均衡。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_6_07_GPP_ooo_Editorial-News_1191491242103_files.Par_.Tip_immersion_time_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_6_07_GPP_ooo_Editorial-News_1191491242103_files.Par_.Tip_immersion_time_jpg.Image_.jpeg" alt="" width="206" height="282" border="0" /></a></p>
<p><strong>技巧 12：吸液速率</strong><br />
移液器的吸液速率不尽相同，因此会对结果的精度与准确度产生影响。用户应使用以一种平稳并且受控的方式释放移液器定位销按钮。释放过快的定位销可能出现的最常见后果是：气雾会进入移液器套柄中，从而损坏移液器的内部部件。当出现向上喷溅液体的情况时，这种现象更为明显。如果液体具有腐蚀性，则有可能损坏移液器的套柄并且会造成样品交叉污染。</p>
<p><a href="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_6_07_GPP_ooo_Editorial-News_1191491242103_files.Par_.Aspiration_rate_jpg.Image_.jpeg"><img src="http://www.bioku.net/wp-content/uploads/2011/08/HPS_ooo_RAININ_WebNews_6_07_GPP_ooo_Editorial-News_1191491242103_files.Par_.Aspiration_rate_jpg.Image_.jpeg" alt="" width="206" height="277" border="0" /></a></p>
<p><strong>技巧 13：反向移液模式</strong><br />
对于科研人员而言，使用移液器对粘性与密致液体进行精准吸液与分液一直是一道难题。对策是使用反向移液模式。进行样品吸液时，将定位销下按至“排液”。将所选液量和多余液体吸入吸液器吸头中。然后在分液时，将定位销只按至零位。通过此方法，在分液时液体会保持在吸头内。对于生物、粘性或起泡液体而言，反向移液可改进结果。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>10个有趣的生物学小实验</title>
		<link>http://www.91bio.com/10-interestingly-a-small-experimental-biology/</link>
		<comments>http://www.91bio.com/10-interestingly-a-small-experimental-biology/#comments</comments>
		<pubDate>Fri, 09 Dec 2011 00:57:39 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物资源]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645528</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！分享一视频展示有趣的生物学小实验。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！分享一视频展示有趣的生物学小实验。<br />
<object width="480" height="400" classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="src" value="http://player.youku.com/player.php/sid/XMzI3Mjg4ODYw/v.swf" /><param name="quality" value="high" /><param name="allowscriptaccess" value="sameDomain" /><param name="allowfullscreen" value="true" /><embed width="480" height="400" type="application/x-shockwave-flash" src="http://player.youku.com/player.php/sid/XMzI3Mjg4ODYw/v.swf" quality="high" allowscriptaccess="sameDomain" allowfullscreen="true" /></object></p>
]]></content:encoded>
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		<item>
		<title>实验室爱情故事</title>
		<link>http://www.91bio.com/laboratory-love-story/</link>
		<comments>http://www.91bio.com/laboratory-love-story/#comments</comments>
		<pubDate>Thu, 08 Dec 2011 05:29:22 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645530</guid>
		<description><![CDATA[周健平 原创，找生物转载： 夜静静的，天空中星星一闪一闪。-80℃的冰箱里，Sal睡熟了。她是一只年轻的沙门氏菌。与其他沙门氏菌不同的是，她自从一出生就被施了一个可怕的魔咒：她的一生注定会不断受到抗生素的侵袭。抗生素会割破她的皮肤，吸取她的灵魂，只剩下她支离破碎的躯体，随时光流逝慢慢地消失。这对正青春年少的Sal来讲多么令人毛骨悚然啊！ 不过她现在暂时不用怕，因为她得到了一个质粒，那是她的护身符，一条精美的项链，上面镶着一红一蓝两块光彩夺目的宝石。每当氨苄青霉素袭来的时候，蓝宝石就会放射出万道光芒，每道光芒就像一把利剑，可以把氨苄青霉素拦腰砍断。从出生起，Sal已经记不清自己受到过多少次攻击，但护身符都帮她险象环生。可是Sal明白，她不能让护身符陪伴自己一生，因为它太沉重了，让她感到举步维艰。有一天护身符会消失的，到那时她必须找到能守护她一生的真爱。 东边的天空泛白了，天快亮了。Sal翻了个身。在朦胧的晨光中，她梦见了住在-20℃冰箱里的Cat。Cat是一段有侧翼序列的氯霉素抗性基因。Cat曾经在她情窦初开的年纪从她的生活中路过。 那时候Sal曾经与其他许多女孩一起暂住在4℃冰箱里，Cat也在。谈笑间，Sal被他的文质彬彬深深地吸引了。她觉得风趣幽默的Cat拥有一颗善良而质朴的心，如止水一般，平静而透明。Sal喜欢听他说话，渴望跟他聊天，却又不知道从何处聊起。其他女孩肆无忌惮地和Cat开玩笑，捉弄他，Sal看着他憨厚又无辜的样子，既想笑，又有点儿心疼。4℃冰箱里的日子是短暂的，不久，他们就各自回到了自己的冰箱里，偶尔能见上一面，只是打个招呼，就忙各自的事情去了。刚刚萌发的爱慕被Sal深深地埋进了心里。-20℃的冰箱好遥远，里面藏着Sal的一个朦胧的梦。 九点了。Sal被从冰箱里拿了出来。抬眼望去，Cat正在向她招手。Sal有点儿惊喜，招招手说：“嗨！最近过得怎么样？” “不太好，”Cat摇摇头，“我感冒了，浑身难受。最近冰箱总坏。” “那你是不是又要住到4℃去了？我有机会去4℃看你吧！” “谢谢你，”Cat微笑着，“也许这次我会搬到-80℃去住呢！” “好啊！”Sal很开心，“欢迎你过来玩！” 回到冰箱里，Sal的心不由得扑通通地跳。事情来得有点儿突然。他怎么会突然想来这边呢？该带他去哪里转转呢？该聊些什么呢？他会说些什么呢？他……会说些什么吗？Sal的脸上泛起红晕。 第二天，Cat果然来了。他和在4℃冰箱时一样，还是那么潇洒。Sal带他参观了-80℃冰箱的所有叫得上名字的景点。一路上他们都在聊天，问彼此各自都在忙什么，回忆在4℃冰箱时的故事，Cat还问Sal会不会用拉丁语念自己的名字。Cat说，-80℃冰箱真漂亮，到处都是洁白的毛茸茸的雪花。 可是Sal觉得Cat好像不像原来那么幽默了。是因为他玩的不开心吗？ 午饭时，Sal和Cat面对面坐着。Cat注意到了Sal胸前的护身符。 “你的项链挺好看。”Cat说道。 “哦，”Sal低头看了一眼，“这是我的护身符。这颗蓝宝石可以保护我不受氨苄青霉素的伤害。” “那颗红宝石呢？” “我也不知道。我还从来没见过它发挥作用呢。”Sal惭愧地笑笑。“其实我很想摆脱它，它太重了，我带着它跑起来比其他女孩慢很多。” “肯定有办法把它去掉吧？” “32℃以上的环境就会让它消失。可是……” “我明白。”Cat说。 Sal抬起头向Cat看去，却见他若有所思地望着远方。 -20℃冰箱修好了，Cat回去了。晚上，Sal收到Cat发来的短信，说他玩得很开心。Sal说那就常过来玩吧，其实自己也想去-20℃冰箱找他玩，可惜去不了。Cat说你觉得孤独就给我打电话吧，我讲笑话给你听。 Sal真想每天都能见到Cat。想念一个人让日子变得好漫长。好在Cat经常发短信来，把看到的新奇的事讲给Sal听。 渐渐的，Sal觉得Cat又变回了4℃冰箱里的那个风趣的Cat。他们的联系也从短信变成了电话，变成了每天都会说晚安，从讲笑话变成了谈人生、谈理想，变成了分享快乐和分担压力。Cat常说Sal的鞭毛真漂亮，又长又柔顺。Sal好希望他能继续说下去，说Sal我喜欢你的鞭毛，说Sal我喜欢你。可是他从来没说过。 Cat真的不喜欢我吗？Sal想。多希望能与他厮守一生啊，可是怎么能强迫别人喜欢自己呢！Sal好难过，她觉得自己的心蹙成了一个皱巴巴的疙瘩，就算泡在水浴锅里也舒缓不开。 不过每天晚上的通话还是让Sal觉得很开心。Cat博学多才，什么都懂。他知道Takara公司的每种限制酶都会和它最喜欢的Buffer穿情侣装，他说氯霉素与水关系紧张，却和酒精很有交情。他还说氯霉素很恨他，不过氯霉素不知道DNase能杀掉他，不然早就去和DNase套近乎了。Cat还知道许多4℃冰箱里的八卦故事。他说所有蛋白质最终都会离镍柱而去，因为镍柱爱的只是他们的His标签。还有，霉菌们都很臭美，热衷于各种颜色鲜艳的时装。 “尤其是青霉，”Cat说，“她说只要她做个离子烫，她的扫把头也可以像你的鞭毛那样柔顺，那样让人喜欢。” “很多人觉得我的鞭毛好看吗？” “那当然啦，大家都很喜欢。” “那你喜欢吗？”Sal灵机一动，趁势问了一句。 “喜欢。”Cat的语气憨厚得像一只维尼熊。 “那你喜欢我吗？”Sal的心快从拟核区跳出来了。 “喜欢。”Cat说得那么温柔，像静谧的夜里流过小溪的清泉，浮起了Sal的心。 “我也喜欢你。其实我已经喜欢你很久了。” 电话的那一头沉默着。Sal觉得自己被淬火了。 “然后呢？”Sal试探着问。 还是沉默。Sal眼睛里噙满了泪水。 “Sal，我明白你的意思。”Cat终于说话了，“可是Sal，和我在一起你就不完整了。你项链上的红宝石其实是重组酶基因，它在阿拉伯糖诱导下会产生重组酶，它会用我把你的一段sRNA基因置换掉，这个过程中你还要遭受高压电击……” “Cat，我不怕。”Sal的声音颤抖了，“和你在一起，我扔掉护身符也无需畏惧抗生素。你给了我活下去的希望和勇气，一段sRNA基因与这比起来又算得了什么呢！Cat，我们在一起吧！” “你能这么想我心里就踏实了。Sal，我爱你，我会保护你一辈子！” 重要的日子转眼就到了。Sal早早地起床了，早餐她吃得饱饱的，她吃了很多阿拉伯糖，饭后她发现胸前那颗红宝石绽放出了夺目的光芒。接着她走进浴室，那是一个50mL的离心管。沐浴在10%的甘油中，Sal觉得她全身的肌肤都滋润极了。 沐浴三次后，Sal和Cat终于在0.5mL离心管里会面了。Cat迎上去热情地拥抱Sal，说：“亲爱的，你今天美极了。” “你也是，Cat。”Sal垂下眼帘，羞红了脸。 短暂的会面之后，他们被转移进了一个电击杯。决定命运的时刻就要到了。 “Sal，你怕吗？” Sal轻轻地说不怕，却闭着双眼，仅仅地抓住Cat。 “别怕，有我在呢。你要是死了，我会和你一起消失的。”Cat把Sal揽入怀中，轻轻地亲吻她的额头。 这时只听“嗞”的一声，Sal觉得浑身都麻木了。1.8千伏5.0毫秒的高压电击之后，Sal感到钻心的疼痛阵阵袭来。她挣扎着看去，见自己身上撕裂了一个口子，里面红光闪闪。Sal知道，Cat已经进去了。他找到重组酶了吗？他找到与他同源的那段sRNA基因了吗？他……Sal觉得自己的头越来越沉，渐渐地失去了意识。 再醒来时，Sal发现自己正趴在LB平板上。37℃温箱里真温暖。她伸了个懒腰，翻身坐起来，看见身边有好多氯霉素，他们都被乙酰化了，失去了战斗力，横七竖八萎靡不振地倒着。Sal笑了，眼睛里闪烁着幸福的泪光。她知道自己不再是Sal了，她已经和Cat合为一体，变成了Sal△sRNA::Cat。这时一道亮光照进来，温箱的门开了。她听见一个女孩兴奋地说：“我的菌长了！我的菌终于长了！” &#160;]]></description>
			<content:encoded><![CDATA[<p>周健平 原创，找生物转载：</p>
<p>夜静静的，天空中星星一闪一闪。-80℃的冰箱里，Sal睡熟了。她是一只年轻的沙门氏菌。与其他沙门氏菌不同的是，她自从一出生就被施了一个可怕的魔咒：她的一生注定会不断受到抗生素的侵袭。抗生素会割破她的皮肤，吸取她的灵魂，只剩下她支离破碎的躯体，随时光流逝慢慢地消失。这对正青春年少的Sal来讲多么令人毛骨悚然啊！</p>
<p>不过她现在暂时不用怕，因为她得到了一个质粒，那是她的护身符，一条精美的项链，上面镶着一红一蓝两块光彩夺目的宝石。每当氨苄青霉素袭来的时候，蓝宝石就会放射出万道光芒，每道光芒就像一把利剑，可以把氨苄青霉素拦腰砍断。从出生起，Sal已经记不清自己受到过多少次攻击，但护身符都帮她险象环生。可是Sal明白，她不能让护身符陪伴自己一生，因为它太沉重了，让她感到举步维艰。有一天护身符会消失的，到那时她必须找到能守护她一生的真爱。</p>
<p>东边的天空泛白了，天快亮了。Sal翻了个身。在朦胧的晨光中，她梦见了住在-20℃冰箱里的Cat。Cat是一段有侧翼序列的氯霉素抗性基因。Cat曾经在她情窦初开的年纪从她的生活中路过。</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2011/12/0905252120b6706ca7b52bcdd9.jpg"><img class="aligncenter size-full wp-image-645531" title="0905252120b6706ca7b52bcdd9" src="http://www.91bio.com/wp-content/uploads/2011/12/0905252120b6706ca7b52bcdd9.jpg" alt="" width="344" height="201" /></a><br />
那时候Sal曾经与其他许多女孩一起暂住在4℃冰箱里，Cat也在。谈笑间，Sal被他的文质彬彬深深地吸引了。她觉得风趣幽默的Cat拥有一颗善良而质朴的心，如止水一般，平静而透明。Sal喜欢听他说话，渴望跟他聊天，却又不知道从何处聊起。其他女孩肆无忌惮地和Cat开玩笑，捉弄他，Sal看着他憨厚又无辜的样子，既想笑，又有点儿心疼。4℃冰箱里的日子是短暂的，不久，他们就各自回到了自己的冰箱里，偶尔能见上一面，只是打个招呼，就忙各自的事情去了。刚刚萌发的爱慕被Sal深深地埋进了心里。-20℃的冰箱好遥远，里面藏着Sal的一个朦胧的梦。</p>
<p>九点了。Sal被从冰箱里拿了出来。抬眼望去，Cat正在向她招手。Sal有点儿惊喜，招招手说：“嗨！最近过得怎么样？”</p>
<p>“不太好，”Cat摇摇头，“我感冒了，浑身难受。最近冰箱总坏。”</p>
<p>“那你是不是又要住到4℃去了？我有机会去4℃看你吧！”</p>
<p>“谢谢你，”Cat微笑着，“也许这次我会搬到-80℃去住呢！”</p>
<p>“好啊！”Sal很开心，“欢迎你过来玩！”</p>
<p>回到冰箱里，Sal的心不由得扑通通地跳。事情来得有点儿突然。他怎么会突然想来这边呢？该带他去哪里转转呢？该聊些什么呢？他会说些什么呢？他……会说些什么吗？Sal的脸上泛起红晕。</p>
<p>第二天，Cat果然来了。他和在4℃冰箱时一样，还是那么潇洒。Sal带他参观了-80℃冰箱的所有叫得上名字的景点。一路上他们都在聊天，问彼此各自都在忙什么，回忆在4℃冰箱时的故事，Cat还问Sal会不会用拉丁语念自己的名字。Cat说，-80℃冰箱真漂亮，到处都是洁白的毛茸茸的雪花。</p>
<p>可是Sal觉得Cat好像不像原来那么幽默了。是因为他玩的不开心吗？</p>
<p>午饭时，Sal和Cat面对面坐着。Cat注意到了Sal胸前的护身符。</p>
<p>“你的项链挺好看。”Cat说道。</p>
<p>“哦，”Sal低头看了一眼，“这是我的护身符。这颗蓝宝石可以保护我不受氨苄青霉素的伤害。”</p>
<p>“那颗红宝石呢？”</p>
<p>“我也不知道。我还从来没见过它发挥作用呢。”Sal惭愧地笑笑。“其实我很想摆脱它，它太重了，我带着它跑起来比其他女孩慢很多。”</p>
<p>“肯定有办法把它去掉吧？”</p>
<p>“32℃以上的环境就会让它消失。可是……”</p>
<p>“我明白。”Cat说。</p>
<p>Sal抬起头向Cat看去，却见他若有所思地望着远方。</p>
<p>-20℃冰箱修好了，Cat回去了。晚上，Sal收到Cat发来的短信，说他玩得很开心。Sal说那就常过来玩吧，其实自己也想去-20℃冰箱找他玩，可惜去不了。Cat说你觉得孤独就给我打电话吧，我讲笑话给你听。</p>
<p>Sal真想每天都能见到Cat。想念一个人让日子变得好漫长。好在Cat经常发短信来，把看到的新奇的事讲给Sal听。</p>
<p>渐渐的，Sal觉得Cat又变回了4℃冰箱里的那个风趣的Cat。他们的联系也从短信变成了电话，变成了每天都会说晚安，从讲笑话变成了谈人生、谈理想，变成了分享快乐和分担压力。Cat常说Sal的鞭毛真漂亮，又长又柔顺。Sal好希望他能继续说下去，说Sal我喜欢你的鞭毛，说Sal我喜欢你。可是他从来没说过。</p>
<p>Cat真的不喜欢我吗？Sal想。多希望能与他厮守一生啊，可是怎么能强迫别人喜欢自己呢！Sal好难过，她觉得自己的心蹙成了一个皱巴巴的疙瘩，就算泡在水浴锅里也舒缓不开。</p>
<p>不过每天晚上的通话还是让Sal觉得很开心。Cat博学多才，什么都懂。他知道Takara公司的每种限制酶都会和它最喜欢的Buffer穿情侣装，他说氯霉素与水关系紧张，却和酒精很有交情。他还说氯霉素很恨他，不过氯霉素不知道DNase能杀掉他，不然早就去和DNase套近乎了。Cat还知道许多4℃冰箱里的八卦故事。他说所有蛋白质最终都会离镍柱而去，因为镍柱爱的只是他们的His标签。还有，霉菌们都很臭美，热衷于各种颜色鲜艳的时装。</p>
<p>“尤其是青霉，”Cat说，“她说只要她做个离子烫，她的扫把头也可以像你的鞭毛那样柔顺，那样让人喜欢。”</p>
<p>“很多人觉得我的鞭毛好看吗？”</p>
<p>“那当然啦，大家都很喜欢。”</p>
<p>“那你喜欢吗？”Sal灵机一动，趁势问了一句。</p>
<p>“喜欢。”Cat的语气憨厚得像一只维尼熊。</p>
<p>“那你喜欢我吗？”Sal的心快从拟核区跳出来了。</p>
<p>“喜欢。”Cat说得那么温柔，像静谧的夜里流过小溪的清泉，浮起了Sal的心。</p>
<p>“我也喜欢你。其实我已经喜欢你很久了。”</p>
<p>电话的那一头沉默着。Sal觉得自己被淬火了。</p>
<p>“然后呢？”Sal试探着问。</p>
<p>还是沉默。Sal眼睛里噙满了泪水。</p>
<p>“Sal，我明白你的意思。”Cat终于说话了，“可是Sal，和我在一起你就不完整了。你项链上的红宝石其实是重组酶基因，它在阿拉伯糖诱导下会产生重组酶，它会用我把你的一段sRNA基因置换掉，这个过程中你还要遭受高压电击……”</p>
<p>“Cat，我不怕。”Sal的声音颤抖了，“和你在一起，我扔掉护身符也无需畏惧抗生素。你给了我活下去的希望和勇气，一段sRNA基因与这比起来又算得了什么呢！Cat，我们在一起吧！”</p>
<p>“你能这么想我心里就踏实了。Sal，我爱你，我会保护你一辈子！”</p>
<p>重要的日子转眼就到了。Sal早早地起床了，早餐她吃得饱饱的，她吃了很多阿拉伯糖，饭后她发现胸前那颗红宝石绽放出了夺目的光芒。接着她走进浴室，那是一个50mL的离心管。沐浴在10%的甘油中，Sal觉得她全身的肌肤都滋润极了。</p>
<p>沐浴三次后，Sal和Cat终于在0.5mL离心管里会面了。Cat迎上去热情地拥抱Sal，说：“亲爱的，你今天美极了。”</p>
<p>“你也是，Cat。”Sal垂下眼帘，羞红了脸。</p>
<p>短暂的会面之后，他们被转移进了一个电击杯。决定命运的时刻就要到了。</p>
<p>“Sal，你怕吗？”</p>
<p>Sal轻轻地说不怕，却闭着双眼，仅仅地抓住Cat。</p>
<p>“别怕，有我在呢。你要是死了，我会和你一起消失的。”Cat把Sal揽入怀中，轻轻地亲吻她的额头。</p>
<p>这时只听“嗞”的一声，Sal觉得浑身都麻木了。1.8千伏5.0毫秒的高压电击之后，Sal感到钻心的疼痛阵阵袭来。她挣扎着看去，见自己身上撕裂了一个口子，里面红光闪闪。Sal知道，Cat已经进去了。他找到重组酶了吗？他找到与他同源的那段sRNA基因了吗？他……Sal觉得自己的头越来越沉，渐渐地失去了意识。</p>
<p>再醒来时，Sal发现自己正趴在LB平板上。37℃温箱里真温暖。她伸了个懒腰，翻身坐起来，看见身边有好多氯霉素，他们都被乙酰化了，失去了战斗力，横七竖八萎靡不振地倒着。Sal笑了，眼睛里闪烁着幸福的泪光。她知道自己不再是Sal了，她已经和Cat合为一体，变成了Sal△sRNA::Cat。这时一道亮光照进来，温箱的门开了。她听见一个女孩兴奋地说：“我的菌长了！我的菌终于长了！”</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>3</slash:comments>
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		<title>女性性高潮时的大脑影像</title>
		<link>http://www.91bio.com/female-orgasm-brain-imaging/</link>
		<comments>http://www.91bio.com/female-orgasm-brain-imaging/#comments</comments>
		<pubDate>Thu, 08 Dec 2011 01:02:00 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645526</guid>
		<description><![CDATA[找生物-分享有趣、实用生物资源！性高潮时大脑究竟发生了什么？对这个问题，科学家一直知之甚少。现在，美国科学家拍摄了性高潮时女性大脑的核磁共振影像。通过这段影像，科学家第一次了解到性高潮时有多少大脑区域受到影响。 形象地说，性高潮时的大脑好像上演了一场烟花秀。这段影像展示了感觉皮层如何进入活跃状态。感觉皮层处于一个特殊区域，与生殖器有关。这种活跃通过与情绪和记忆有关的边缘系统迅速扩散。随着性高潮的到来，视丘下部的活跃性达到峰值。这一大脑区域释放一种被称之为“后叶催产素”的化学物质。性高潮后，整个大脑的活跃性开始降低。科学家希望通过进一步了解这些过程，为无法达到性高潮的患者带去福音。 在性高潮时，几个所有大脑区域都处于活跃状态。这种活跃从与生殖器有关的感觉皮层开始，而后迅速扩散到整个大脑 在核磁共振影像中，不同的颜色代表不同的活跃程度，红色最低，黄色和白色最高 在未达到性高潮时，只有少数大脑区域处于活跃状态，而后随着性高潮的到来扩散到80多个大脑区域 &#160; &#160;]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用生物资源！性高潮时大脑究竟发生了什么？对这个问题，科学家一直知之甚少。现在，美国科学家拍摄了性高潮时女性大脑的核磁共振影像。通过这段影像，科学家第一次了解到性高潮时有多少大脑区域受到影响。</p>
<p>形象地说，性高潮时的大脑好像上演了一场烟花秀。这段影像展示了感觉皮层如何进入活跃状态。感觉皮层处于一个特殊区域，与生殖器有关。这种活跃通过与情绪和记忆有关的边缘系统迅速扩散。随着性高潮的到来，视丘下部的活跃性达到峰值。这一大脑区域释放一种被称之为“后叶催产素”的化学物质。性高潮后，整个大脑的活跃性开始降低。科学家希望通过进一步了解这些过程，为无法达到性高潮的患者带去福音。</p>
<p style="text-align: center;"><img src="http://pic.biodiscover.com/uploads/5fd0b37cd7dbbb00f97ba6ce92bf5add/article/biodiscover_ee15537fe2c4463114.jpg" alt="" /></p>
<p style="text-align: center;">在性高潮时，几个所有大脑区域都处于活跃状态。这种活跃从与生殖器有关的感觉皮层开始，而后迅速扩散到整个大脑</p>
<p style="text-align: center;"><img src="http://pic.biodiscover.com/uploads/5fd0b37cd7dbbb00f97ba6ce92bf5add/article/biodiscover_1cb39a36cc7a4ff114.jpg" alt="" /></p>
<p style="text-align: center;">在核磁共振影像中，不同的颜色代表不同的活跃程度，红色最低，黄色和白色最高</p>
<p style="text-align: center;"><img src="http://pic.biodiscover.com/uploads/5fd0b37cd7dbbb00f97ba6ce92bf5add/article/biodiscover_af883da5bf849e4114.jpg" alt="" /></p>
<p style="text-align: center;">在未达到性高潮时，只有少数大脑区域处于活跃状态，而后随着性高潮的到来扩散到80多个大脑区域</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>3</slash:comments>
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		<item>
		<title>用细菌发光的生物荧光灯</title>
		<link>http://www.91bio.com/biological-fluorescent-light-with-bacteria/</link>
		<comments>http://www.91bio.com/biological-fluorescent-light-with-bacteria/#comments</comments>
		<pubDate>Wed, 07 Dec 2011 06:47:35 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[细菌]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645523</guid>
		<description><![CDATA[我们通常会想尽一切办法让致病细菌远离我们的家园，但是数百万微生物有一天将会成为一种自然光源，利用可回收利用的家庭垃圾发光。 荷兰飞利浦公司设计的一种“生物灯”能为任何住宅的房间提供温馨廉价的光。这种由一系列玻璃容器组成的特殊灯采用的发光方式，与萤火虫产生生物荧光的方式一样。这些玻璃容器包含生物荧光细菌，它们在接触沼气时会发出绿色荧光。 生物灯里的活细菌发出绿色荧光 这种灯利用的沼气是由日常家庭垃圾产生的 &#160;]]></description>
			<content:encoded><![CDATA[<p>我们通常会想尽一切办法让致病细菌远离我们的家园，但是数百万微生物有一天将会成为一种自然光源，利用可回收利用的家庭垃圾发光。</p>
<p>荷兰飞利浦公司设计的一种“生物灯”能为任何住宅的房间提供温馨廉价的光。这种由一系列玻璃容器组成的特殊灯采用的发光方式，与萤火虫产生生物荧光的方式一样。这些玻璃容器包含生物荧光细菌，它们在接触沼气时会发出绿色荧光。</p>
<p><img class="aligncenter" src="http://pic.biodiscover.com/uploads/5ef059938ba799aaa845e1c2e8a762bd/article/biodiscover_02563fd6f9fc7d3118.jpg" alt="飞利浦推出生物荧光灯：用细菌发光照明" /></p>
<p style="text-align: center;">生物灯里的活细菌发出绿色荧光</p>
<p style="text-align: center;"><img src="http://pic.biodiscover.com/uploads/5ef059938ba799aaa845e1c2e8a762bd/article/biodiscover_da7fd0cebbb0c35118.jpg" alt="飞利浦推出生物荧光灯：用细菌发光照明" /></p>
<p style="text-align: center;">这种灯利用的沼气是由日常家庭垃圾产生的</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>关于病毒的诗歌</title>
		<link>http://www.91bio.com/poetry-about-viruses/</link>
		<comments>http://www.91bio.com/poetry-about-viruses/#comments</comments>
		<pubDate>Wed, 07 Dec 2011 06:33:46 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[病毒]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645518</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！找生物前几天分享了几篇生物有才人的情书，嘎嘎就是油菜，今天分享一篇老外写的关于病毒的诗歌，读起来朗朗上口，赞一个啊！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！找生物前几天分享了几篇生物有才人的情书，嘎嘎就是油菜，今天分享一篇老外写的关于病毒的诗歌，读起来朗朗上口，赞一个啊！</p>
<p><a href="http://www.91bio.com/poetry-about-viruses/the-virus/" rel="attachment wp-att-645519"><img class="aligncenter size-full wp-image-645519" title="the virus" src="http://www.91bio.com/wp-content/uploads/2011/12/the-virus.png" alt="" width="458" height="714" /></a></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>提高移液操作技术的10个小技巧</title>
		<link>http://www.91bio.com/pipetting-technology-to-improve-10-small-tips/</link>
		<comments>http://www.91bio.com/pipetting-technology-to-improve-10-small-tips/#comments</comments>
		<pubDate>Tue, 06 Dec 2011 09:04:47 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[移液器]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645513</guid>
		<description><![CDATA[找生物-分享有趣、实用生物实验技巧！现在的日常操作中基本都是枪在手，移液操作看似不起眼的小事，却有时对实验结果有很大的影响，找生物继昨天在线校正移液器后拟在以后的几天中专门整理一些有关移液操作的小技巧，希望大家喜欢！ 今天带来的是一个ARTEL公司一个关于提高移液操作技术的10个小技巧： 此外还有视频演示, 点击此处here is video for you to watch. 查看PDF格式文档 文件名：提高移液操作的10大技巧.pdf 文件大小：290.82KB 下载地址：http://3721up.com/5b0w &#160;]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用生物实验技巧！现在的日常操作中基本都是枪在手，移液操作看似不起眼的小事，却有时对实验结果有很大的影响，找生物继昨天<a title="在线校正您的移液器" href="http://www.91bio.com/online-calibrate-your-pipette/">在线校正移液器</a>后拟在以后的几天中专门整理一些有关移液操作的小技巧，希望大家喜欢！</p>
<p>今天带来的是一个ARTEL公司一个关于提高移液操作技术的10个小技巧：</p>
<p><a href="http://www.91bio.com/wp-content/uploads/2011/12/10tips.png"><img class="aligncenter size-full wp-image-645515" title="10tips" src="http://www.91bio.com/wp-content/uploads/2011/12/10tips.png" alt="" width="394" height="576" /></a>此外还有视频演示, 点击此处<a href="http://www.artel-usa.com/learning/default.aspx?id=3952">here is video for you to watch</a>.</p>
<p>查看PDF格式文档</p>
<div>文件名：提高移液操作的10大技巧.pdf<br />
文件大小：290.82KB<br />
下载地址：<a href="http://3721up.com/5b0w" target="_blank">http://3721up.com/5b0w</a></div>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
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		<item>
		<title>小技巧之如何更准确的检测蛋白浓度</title>
		<link>http://www.91bio.com/tips-of-how-to-more-accurate-detection-of-protein-concentration/</link>
		<comments>http://www.91bio.com/tips-of-how-to-more-accurate-detection-of-protein-concentration/#comments</comments>
		<pubDate>Mon, 05 Dec 2011 08:14:46 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[生物实验技巧]]></category>
		<category><![CDATA[蛋白]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645507</guid>
		<description><![CDATA[&#160; Folin—酚试剂法（Lowry法） 这种蛋白质测定法是最灵敏的方法之一。过去此法是应用最广泛的一种方法，由于其试剂配制较为困难，近年来逐渐被考马斯亮兰法所取代。此法的显色原理与双缩脲方法是相同的，只是加入了第二种试剂，即Folin—酚试剂，以增加显色量，从而提高了检测蛋白质的灵敏度。这两种显色反应产生深蓝色的原因是：在碱性条件下，蛋白质中的肽键与铜结合生成复合物。?Folin—酚试剂中的磷钼酸盐—磷钨酸盐被蛋白质中的酪氨酸和苯丙氨酸残基还原，产生深蓝色（钼蓝和钨蓝的混合物）。在一定的条件下，蓝色深度与蛋白的含量成正比。 Folin—酚试剂法最早由Lowry确定了蛋白质浓度测定的基本步骤。以后在生物化学领域得到广泛的应用。这个测定法的优点是灵敏度高，比双缩脲法灵敏得多，缺点是费时间较长，要精确控制操作时间，标准曲线也不是严格的直线形式，且专一性较差，干扰物质较多。对双缩脲反应发生干扰的离子，同样容易干扰Lowry反应。而且对后者的影响还要大得多。酚类、柠檬酸、硫酸铵、Tris缓冲液、甘氨酸、糖类、甘油等均有干扰作用。浓度较低的尿素（0.5%），硫酸钠（1%），硝酸钠（1%），三氯乙酸（0.5%），乙醇（5%），乙醚（5%），丙酮（0.5%）等溶液对显色无影响，但这些物质浓度高时，必须作校正曲线。含硫酸铵的溶液，只须加浓碳酸钠—氢氧化钠溶液，即可显色测定。若样品酸度较高，显色后会色浅，则必须提高碳酸钠—氢氧化钠溶液的浓度1～2倍。 进行测定时，加Folin—酚试剂时要特别小心，因为该试剂仅在酸性pH条件下稳定，但上述还原反应只在pH=10的情况下发生，故当Folin一酚试剂加到碱性的铜—蛋白质溶液中时，必须立即混匀，以便在磷钼酸—磷钨酸试剂被破坏之前，还原反应即能发生。 此法也适用于酪氨酸和色氨酸的定量测定。 此法可检测的最低蛋白质量达5mg。通常测定范围是20～250mg。 紫外吸收法 由于蛋白质分子中，酪氨酸和色氨酸残基的苯环含有共轭双键，因此蛋白质具有吸收紫外光的性质。吸收高峰在280nm处，其吸光度与蛋白质含量成正比，可用作定量测定。 紫外吸收法简便、灵敏、快速，不消耗样品，低浓度的盐类不干扰测定。特别适用于柱层析洗脱液的快速连续检测，利用280nm进行紫外检测，来判断蛋白质吸附或洗脱情况是最常用的方法。 此法的特点是测定蛋白质含量的准确度较差，干扰物质多，在用标准曲线法测定蛋白质含量时，对那些与标准蛋白质中酪氨酸和色氨酸含量差异大的蛋白质，有一定的误差。故该法适于用测定与标准蛋白质氨基酸组成相似的蛋白质。若样品中含有嘌呤、嘧啶及核酸等吸收紫外光的物质，会出现较大的干扰。核酸的干扰可以通过查校正表，再进行计算的方法，加以适当的校正。但是因为不同的蛋白质和核酸的紫外吸收是不相同的，虽然经过校正，测定的结果还是存在一定的误差。 此外，进行紫外吸收法测定时，由于蛋白质吸收高峰常因pH的改变而有变化，因此要注意溶液的pH值，测定样品时的pH要与测定标准曲线的pH相一致。 考马斯亮兰法（Bradford法） 1976年由Bradford建立的考马斯亮兰法（Bradford法），是根据蛋白质与染料相结合的原理设计的。这种蛋白质测定法具有超过其他几种方法的突出优点，因而正在得到广泛的应用。这一方法是目前灵敏度最高的蛋白质测定法。 考马斯亮兰G-250染料，在酸性溶液中与蛋白质结合，使染料的最大吸收峰由465nm变为595nm，溶液的颜色也由棕黑色变为蓝色。经研究认为，染料主要是与蛋白质中的碱性氨基酸（特别是精氨酸）和芳香族氨基酸残基相结合。 在595nm下测定的吸光度值A595，与蛋白质浓度成正比。 Bradford法的突出优点是： （1）灵敏度高，据估计比Lowry法约高四倍，其最低蛋白质检测量可达1mg。这是因为蛋白质与染料结合后产生的颜色变化很大，蛋白质－染料复合物有更高的消光系数，因而光吸收值随蛋白质浓度的变化比Lowry法要大的多。 （2）测定快速、简便，只需加一种试剂。完成一个样品的测定，只需要5分钟左右。由于染料与蛋白质结合的过程，大约只要2分钟即可完成，其颜色可以在1小时内保持稳定，且在5分钟至20分钟之间，颜色的稳定性最好。因而完全不用像Lowry法那样费时和严格地控制时间。 （3）干扰物质少。如干扰Lowry法的K+、Na+、Mg2+离子、Tris缓冲液、糖和蔗糖、甘油、巯基乙醇、EDTA等均不干扰此测定法。 此法的缺点是： （1）由于各种蛋白质中的精氨酸和芳香族氨基酸的含量不同，因此Bradford法用于不同蛋白质测定时有较大的偏差，在制作标准曲线时通常选用 g—球蛋白为标准蛋白质，以减少这方面的偏差。 （2）仍有一些物质干扰此法的测定，主要的干扰物质有：去污剂、 Triton X-100、十二烷基硫酸钠（SDS）和0.1N的NaOH。（如同0.1N的酸干扰Lowary法一样）。 （3）标准曲线也有轻微的非线性，因而不能用Beer定律进行计算，而只能用标准曲线来测定未知蛋白质的浓度。 BCA比色法 在碱性溶液中，蛋白质将Cu2+还愿为Cu+再与BCA试剂（4，4´-二羧酸-2，2´-二喹啉钠）生成紫色复合物，于562nm由最大吸收，其强度和蛋白质浓度成正比。此法的优点是单一试剂、终产物稳定，于lowry法相比几乎没有干扰物质的影响。尤其是在TritonX-100，SDS等表面活性剂中也可以测定。其灵敏度范围一般在10～1200 ug/ml。 常用蛋白质含量测定方法的比较 方法 灵敏度 时间 原理 干扰物质 说明 凯氏定氮法（Kjedahl法） 灵敏度低，适用于0.2~ 1.0mg氮，误差为 ±2％ 费时8～10小时 将蛋白氮转化为氨，用酸吸收后滴定 非蛋白氮（可用三氯乙酸沉淀蛋白质而分离） 用于标准蛋白质含量的准确测定；干扰少；费时太长 双缩脲法（Biuret法） 灵敏度低1～20mg 中速20~30分钟 多肽键＋碱性Cu2＋®紫色络合物 硫酸铵；Tris缓冲液； 某些氨基酸 用于快速测定，但不太灵敏；不同蛋白质显色相似 紫外吸收法 较为灵敏50～100mg 快速5～10分钟 蛋白质中的酪氨酸和色氨酸残基在280nm处的光吸收 各种嘌吟和嘧啶；各种核苷酸 用于层析柱流出液的检测；核酸的吸收可以校正 Folin－酚试剂法（Lowry法） 灵敏度高～5mg 慢速40～60 [...]]]></description>
			<content:encoded><![CDATA[<p>&nbsp;</p>
<div>
<p><strong>Folin—<span style="font-family: 宋体;">酚试剂法（</span><span style="font-family: Arial;">Lowry</span><span style="font-family: 宋体;">法）</span></strong></p>
<p>这种蛋白质测定法是最灵敏的方法之一。过去此法是应用最广泛的一种方法，由于其试剂配制较为困难，近年来逐渐被考马斯亮兰法所取代。此法的显色原理与双缩脲方法是相同的，只是加入了第二种试剂，即Folin—酚试剂，以增加显色量，从而提高了检测蛋白质的灵敏度。这两种显色反应产生深蓝色的原因是：在碱性条件下，蛋白质中的肽键与铜结合生成复合物。?Folin—酚试剂中的磷钼酸盐—磷钨酸盐被蛋白质中的酪氨酸和苯丙氨酸残基还原，产生深蓝色（钼蓝和钨蓝的混合物）。在一定的条件下，蓝色深度与蛋白的含量成正比。</p>
<p>Folin—酚试剂法最早由Lowry确定了蛋白质浓度测定的基本步骤。以后在生物化学领域得到广泛的应用。这个测定法的优点是灵敏度高，比双缩脲法灵敏得多，缺点是费时间较长，要精确控制操作时间，标准曲线也不是严格的直线形式，且专一性较差，干扰物质较多。对双缩脲反应发生干扰的离子，同样容易干扰Lowry反应。而且对后者的影响还要大得多。酚类、柠檬酸、硫酸铵、Tris缓冲液、甘氨酸、糖类、甘油等均有干扰作用。浓度较低的尿素（0.5%），硫酸钠（1%），硝酸钠（1%），三氯乙酸（0.5%），乙醇（5%），乙醚（5%），丙酮（0.5%）等溶液对显色无影响，但这些物质浓度高时，必须作校正曲线。含硫酸铵的溶液，只须加浓碳酸钠—氢氧化钠溶液，即可显色测定。若样品酸度较高，显色后会色浅，则必须提高碳酸钠—氢氧化钠溶液的浓度1～2倍。</p>
<p>进行测定时，加Folin—酚试剂时要特别小心，因为该试剂仅在酸性pH条件下稳定，但上述还原反应只在pH=10的情况下发生，故当Folin一酚试剂加到碱性的铜—蛋白质溶液中时，必须立即混匀，以便在磷钼酸—磷钨酸试剂被破坏之前，还原反应即能发生。</p>
<p>此法也适用于酪氨酸和色氨酸的定量测定。</p>
<p>此法可检测的最低蛋白质量达5mg。通常测定范围是20～250mg。</p>
<p><strong>紫外吸收法</strong></p>
<p>由于蛋白质分子中，酪氨酸和色氨酸残基的苯环含有共轭双键，因此蛋白质具有吸收紫外光的性质。吸收高峰在280nm处，其吸光度与蛋白质含量成正比，可用作定量测定。</p>
<p>紫外吸收法简便、灵敏、快速，不消耗样品，低浓度的盐类不干扰测定。特别适用于柱层析洗脱液的快速连续检测，利用280nm进行紫外检测，来判断蛋白质吸附或洗脱情况是最常用的方法。</p>
<p>此法的特点是测定蛋白质含量的准确度较差，干扰物质多，在用标准曲线法测定蛋白质含量时，对那些与标准蛋白质中酪氨酸和色氨酸含量差异大的蛋白质，有一定的误差。故该法适于用测定与标准蛋白质氨基酸组成相似的蛋白质。若样品中含有嘌呤、嘧啶及核酸等吸收紫外光的物质，会出现较大的干扰。核酸的干扰可以通过查校正表，再进行计算的方法，加以适当的校正。但是因为不同的蛋白质和核酸的紫外吸收是不相同的，虽然经过校正，测定的结果还是存在一定的误差。</p>
<p>此外，进行紫外吸收法测定时，由于蛋白质吸收高峰常因pH的改变而有变化，因此要注意溶液的pH值，测定样品时的pH要与测定标准曲线的pH相一致。</p>
<p><strong>考马斯亮兰法（<span style="font-family: Arial;">Bradford</span><span style="font-family: 宋体;">法）</span></strong></p>
<p>1976年由Bradford建立的考马斯亮兰法（Bradford法），是根据蛋白质与染料相结合的原理设计的。这种蛋白质测定法具有超过其他几种方法的突出优点，因而正在得到广泛的应用。这一方法是目前灵敏度最高的蛋白质测定法。</p>
<p>考马斯亮兰G-250染料，在酸性溶液中与蛋白质结合，使染料的最大吸收峰由465nm变为595nm，溶液的颜色也由棕黑色变为蓝色。经研究认为，染料主要是与蛋白质中的碱性氨基酸（特别是精氨酸）和芳香族氨基酸残基相结合。</p>
<p>在595nm下测定的吸光度值A595，与蛋白质浓度成正比。</p>
<p>Bradford法的突出优点是：</p>
<p>（1）灵敏度高，据估计比Lowry法约高四倍，其最低蛋白质检测量可达1mg。这是因为蛋白质与染料结合后产生的颜色变化很大，蛋白质－染料复合物有更高的消光系数，因而光吸收值随蛋白质浓度的变化比Lowry法要大的多。</p>
<p>（2）测定快速、简便，只需加一种试剂。完成一个样品的测定，只需要5分钟左右。由于染料与蛋白质结合的过程，大约只要2分钟即可完成，其颜色可以在1小时内保持稳定，且在5分钟至20分钟之间，颜色的稳定性最好。因而完全不用像Lowry法那样费时和严格地控制时间。</p>
<p>（3）干扰物质少。如干扰Lowry法的K+、Na+、Mg2+离子、Tris缓冲液、糖和蔗糖、甘油、巯基乙醇、EDTA等均不干扰此测定法。</p>
<p>此法的缺点是：</p>
<p>（1）由于各种蛋白质中的精氨酸和芳香族氨基酸的含量不同，因此Bradford法用于不同蛋白质测定时有较大的偏差，在制作标准曲线时通常选用 g—球蛋白为标准蛋白质，以减少这方面的偏差。</p>
<p>（2）仍有一些物质干扰此法的测定，主要的干扰物质有：去污剂、 Triton X-100、十二烷基硫酸钠（SDS）和0.1N的NaOH。（如同0.1N的酸干扰Lowary法一样）。</p>
<p>（3）标准曲线也有轻微的非线性，因而不能用Beer定律进行计算，而只能用标准曲线来测定未知蛋白质的浓度。</p>
<p><strong>BCA<span style="font-family: 宋体;">比色法</span></strong></p>
<p>在碱性溶液中，蛋白质将Cu2+还愿为Cu+再与BCA试剂（4，4´-二羧酸-2，2´-二喹啉钠）生成紫色复合物，于562nm由最大吸收，其强度和蛋白质浓度成正比。此法的优点是单一试剂、终产物稳定，于lowry法相比几乎没有干扰物质的影响。尤其是在TritonX-100，SDS等表面活性剂中也可以测定。其灵敏度范围一般在10～1200 ug/ml。</p>
<p><strong>常用蛋白质含量测定方法的比较</strong></p>
<table width="862">
<tbody>
<tr>
<td valign="center" width="106">方法</td>
<td valign="center" width="79">灵敏度</td>
<td valign="center" width="74">时间</td>
<td valign="center" width="83">原理</td>
<td valign="center" width="130">干扰物质</td>
<td valign="center" width="83">说明</td>
</tr>
<tr>
<td valign="center" width="106">凯氏定氮法（Kjedahl法）</td>
<td valign="center" width="79">灵敏度低，适用于0.2~ 1.0mg氮，误差为 ±2％</td>
<td valign="center" width="74">费时8～10小时</td>
<td valign="center" width="83">将蛋白氮转化为氨，用酸吸收后滴定</td>
<td valign="center" width="130">非蛋白氮（可用三氯乙酸沉淀蛋白质而分离）</td>
<td valign="center" width="83">用于标准蛋白质含量的准确测定；干扰少；费时太长</td>
</tr>
<tr>
<td valign="center" width="106">双缩脲法（Biuret法）</td>
<td valign="center" width="79">灵敏度低1～20mg</td>
<td valign="center" width="74">中速20~30分钟</td>
<td valign="center" width="83">多肽键＋碱性Cu2＋®紫色络合物</td>
<td valign="center" width="130">硫酸铵；Tris缓冲液；</p>
<p>某些氨基酸</td>
<td valign="center" width="83">用于快速测定，但不太灵敏；不同蛋白质显色相似</td>
</tr>
<tr>
<td valign="center" width="106">紫外吸收法</td>
<td valign="center" width="79">较为灵敏50～100mg</td>
<td valign="center" width="74">快速5～10分钟</td>
<td valign="center" width="83">蛋白质中的酪氨酸和色氨酸残基在280nm处的光吸收</td>
<td valign="center" width="130">各种嘌吟和嘧啶；各种核苷酸</td>
<td valign="center" width="83">用于层析柱流出液的检测；核酸的吸收可以校正</td>
</tr>
<tr>
<td valign="center" width="106">Folin－酚试剂法（Lowry法）</td>
<td valign="center" width="79">灵敏度高～5mg</td>
<td valign="center" width="74">慢速40～60</p>
<p>分钟</td>
<td valign="center" width="83">双缩脲反应；磷钼酸－磷钨酸试剂被Tyr和Phe还原</td>
<td valign="center" width="130">硫酸铵；Tris缓冲液；</p>
<p>甘氨酸；</p>
<p>各种硫醇</td>
<td valign="center" width="83">耗费时间长；操作要严格计时；颜色深浅随不同蛋白质变化</td>
</tr>
<tr>
<td valign="center" width="106">考马斯亮蓝法(Bradford法)</td>
<td valign="center" width="79">灵敏度最高1～5mg</td>
<td valign="center" width="74">快速5～15分钟</td>
<td valign="center" width="83">考马斯亮蓝染料与蛋白质结合时，其lmax由465nm变为595nm</td>
<td valign="center" width="130">强碱性缓冲液；TritonX-100;</p>
<p>SDS</td>
<td valign="center" width="83">最好的方法；干扰物质少；</p>
<p>颜色稳定；</p>
<p>颜色深浅随不同蛋白质变化</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
</div>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>在线校正您的移液器</title>
		<link>http://www.91bio.com/online-calibrate-your-pipette/</link>
		<comments>http://www.91bio.com/online-calibrate-your-pipette/#comments</comments>
		<pubDate>Mon, 05 Dec 2011 08:00:33 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[移液器]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645504</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！ 介绍一个可以在线校正移液器的网站，属于赛默飞世尔公司网站下，有兴趣的可以去看看，同时也可以下载到本地，并有详细的使用说明。 传送门：http://www.thermo.com.cn/article.aspx?id=4287 下载传送：Thermo Scientific &#8211; Pipette Calibration 使用说明传送]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！</p>
<p>介绍一个可以在线校正移液器的网站，属于赛默飞世尔公司网站下，有兴趣的可以去看看，同时也可以下载到本地，并有详细的使用说明。</p>
<p>传送门：<a href="http://www.thermo.com.cn/article.aspx?id=4287" target="_blank">http://www.thermo.com.cn/article.aspx?id=4287</a></p>
<p>下载传送<strong>：</strong><a href="http://www.thermo.com.cn/Resources/201006/11105026418.zip" target="_blank"><strong>Thermo Scientific &#8211; Pipette Calibration</strong></a></p>
<p>使用说明<a href="http://www.thermo.com.cn/Resources/201006/10183141662.pdf" target="_blank">传送</a></p>
<p><a href="http://www.91bio.com/wp-content/uploads/2011/12/%E7%A7%BB%E6%B6%B2%E5%99%A8.png"><img class="aligncenter size-full wp-image-645505" title="移液器" src="http://www.91bio.com/wp-content/uploads/2011/12/%E7%A7%BB%E6%B6%B2%E5%99%A8.png" alt="" width="892" height="625" /></a></p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>放松心情看看动物们的萌图吧</title>
		<link>http://www.91bio.com/relax-and-take-a-look-at-the-animals-meng-map-it/</link>
		<comments>http://www.91bio.com/relax-and-take-a-look-at-the-animals-meng-map-it/#comments</comments>
		<pubDate>Sat, 03 Dec 2011 02:03:24 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[动物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645500</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！各位童鞋现在放松下心情，看看动物们的萌图吧，一个个是那样的萌，叫人受不鸟啊！！！ 找生物推荐一个专门收集动物萌图的网站，叫做cutestpaw逗人的爪子（传送门：http://www.cutestpaw.com/），网站的logo就是个动物爪爪，可不要以为是度娘哦。 分类中有猫、狗狗、猴子、鸟类、兔子等等等等，图片质量较高，并且保证每天的更新，一定不能错过的！ 其最大的特点是，首页以无缝的方式显示站内所有萌照的缩略图。以最佳和最快捷方法让你看到你所喜欢的萌图；除了观看萌照和原始链接其他细节外；该网站也相当的互动，你可以上传你喜欢的图片让广大网友评论，或者干脆通过社交网络分享。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！各位童鞋现在放松下心情，看看动物们的萌图吧，一个个是那样的萌，叫人受不鸟啊！！！</p>
<p>找生物推荐一个专门收集动物萌图的网站，叫做cutestpaw逗人的爪子（传送门：<a href="http://www.cutestpaw.com/">http://www.cutestpaw.com/</a>），网站的logo就是个动物爪爪，可不要以为是度娘哦。</p>
<p>分类中有猫、狗狗、猴子、鸟类、兔子等等等等，图片质量较高，并且保证每天的更新，一定不能错过的！</p>
<p>其最大的特点是，首页以无缝的方式显示站内所有萌照的缩略图。以最佳和最快捷方法让你看到你所喜欢的萌图；除了观看萌照和原始链接其他细节外；该网站也相当的互动，你可以上传你喜欢的图片让广大网友评论，或者干脆通过社交网络分享。</p>
<p><a href="http://www.91bio.com"><img class="aligncenter size-full wp-image-645501" title="dongwu" src="http://www.91bio.com/wp-content/uploads/2011/12/dongwu.jpg" alt="" width="600" height="340" /></a></p>
]]></content:encoded>
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		</item>
		<item>
		<title>生物才子之情书三</title>
		<link>http://www.91bio.com/genius-of-love-letters-three-biological/</link>
		<comments>http://www.91bio.com/genius-of-love-letters-three-biological/#comments</comments>
		<pubDate>Fri, 02 Dec 2011 08:54:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645495</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧!看过找生物分享的两片生物情书，是不是感觉以后把妹也有些文艺范了？继续分享一篇，当然如果你也是文艺青年，也别忘了给苦B的生物学人分享一下！ 麦格林道发现了转座因子跃迁 纵然碎成冈崎片断 我的心也决不那么嬗变 滚滚红尘间 抗体寻觅着抗原 你的灵魂是唯一是我冲动的乙酰胆碱 退火 延伸 克隆 突变 是谁的实验 女神的创世纪没有适者生存的字眼 听完古多尔的讲演 我以猩猩之名许愿 常温习你苏丹III般的灿烂容颜 倒一块思念的板忘了加氨苄 寂寞像杂菌空气里四处蔓延 我给你的爱写在西元前 深埋在三叶虫和恐龙身边 就算第四纪的冰期再出现 两只手用肽键依然紧紧相牵 我给你的爱写在西元前 深埋在三叶虫和恐龙身边 用看家基因表达出永远 每个核苷酸都记载下我们的誓言 期待那么一天 爱欲升腾着火焰 两个人 交织缠绕成双螺旋]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧!看过找生物分享的两片生物情书，是不是感觉以后把妹也有些文艺范了？继续分享一篇，当然如果你也是文艺青年，也别忘了给苦B的生物学人分享一下！</p>
<p><img class="aligncenter" title="情书3" src="http://www.aidcr.cn/upload/201107121737303387.jpg" alt="" width="400" height="384" /></p>
<p>麦格林道发现了转座因子跃迁<br />
纵然碎成冈崎片断<br />
我的心也决不那么嬗变<br />
滚滚红尘间<br />
抗体寻觅着抗原<br />
你的灵魂是唯一是我冲动的乙酰胆碱<br />
退火 延伸 克隆 突变<br />
是谁的实验<br />
女神的创世纪没有适者生存的字眼<br />
听完古多尔的讲演<br />
我以猩猩之名许愿<br />
常温习你苏丹III般的灿烂容颜<br />
倒一块思念的板忘了加氨苄<br />
寂寞像杂菌空气里四处蔓延<br />
我给你的爱写在西元前<br />
深埋在三叶虫和恐龙身边<br />
就算第四纪的冰期再出现<br />
两只手用肽键依然紧紧相牵<br />
我给你的爱写在西元前<br />
深埋在三叶虫和恐龙身边<br />
用看家基因表达出永远<br />
每个核苷酸都记载下我们的誓言<br />
期待那么一天<br />
爱欲升腾着火焰<br />
两个人 交织缠绕成双螺旋</p>
]]></content:encoded>
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		</item>
		<item>
		<title>生物才子之情书二</title>
		<link>http://www.91bio.com/biological-genius-of-love-letter-two/</link>
		<comments>http://www.91bio.com/biological-genius-of-love-letter-two/#comments</comments>
		<pubDate>Thu, 01 Dec 2011 02:22:18 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645493</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！今天找生物继续分享情书系列二，是不是有些期待？ 你是DNA, 我是taq酶, 高温附着着你， 把你的瞬间扩增到无限； （不知道能否排除你偶尔错误的位点） 你是标记 我是图谱 准确规划着你 让你的紧密连锁看得见； （不知道我的图谱是否通用、连锁够紧密） 你是紫外线， 我是无菌风， 轻轻拂熨着你， 让你的四处残痕不现。 （不知道仅有的空间是否能让你尽情施展） 你是组培苗， 我是培养瓶， 严严保护着你， 承载着你的一切希望。 （不知道头顶的滤膜片还能否让你光照无限） 你是阳性苗 我是探针 寻觅探测着你， 想把你的光辉化为一条条清晰的条带 （不知道安全的生物素是否有足够的分辨率）]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！今天找生物继续分享情书系列二，是不是有些期待？</p>
<p><img class="aligncenter" title="情书2" src="http://a4.att.hudong.com/84/31/01300000300598122680313285253_s.jpg" alt="" width="300" height="300" /></p>
<p>你是DNA,<br />
我是taq酶,<br />
高温附着着你，<br />
把你的瞬间扩增到无限；<br />
（不知道能否排除你偶尔错误的位点）<br />
你是标记<br />
我是图谱<br />
准确规划着你<br />
让你的紧密连锁看得见；<br />
（不知道我的图谱是否通用、连锁够紧密）<br />
你是紫外线，<br />
我是无菌风，<br />
轻轻拂熨着你，<br />
让你的四处残痕不现。<br />
（不知道仅有的空间是否能让你尽情施展）<br />
你是组培苗，<br />
我是培养瓶，<br />
严严保护着你，<br />
承载着你的一切希望。<br />
（不知道头顶的滤膜片还能否让你光照无限）<br />
你是阳性苗<br />
我是探针<br />
寻觅探测着你，<br />
想把你的光辉化为一条条清晰的条带<br />
（不知道安全的生物素是否有足够的分辨率）</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>生物才子之情书一</title>
		<link>http://www.91bio.com/a-biological-genius-of-love-letters/</link>
		<comments>http://www.91bio.com/a-biological-genius-of-love-letters/#comments</comments>
		<pubDate>Thu, 01 Dec 2011 00:18:50 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645491</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！吾辈生物学人也是人才辈出，介个指的是文学方面的哦，以前找生物介绍过生物学诗人、修仙者、狂人、画家等等诸多神人，看看生物人写的情书也别有一番风味哦。 思念是基因般多彩的书卷， 寂寞犹如病毒一样蔓延。 我把爱写进核酸探针， 深埋在你的复制起点。 就算紫外源在我们身边出现， 世间的一切都发生着基因突变， 我们的心依然像肽键一样紧紧相连。 追忆我们生物反应的日子， 你的笑容就像荧光素一样点亮了我的今天与明天。 而现在的你却为什么不在我身边？ 纵然我的心碎成了冈崎片段， 你的心发生了电子跃迁， 也不能改变我对你的爱恋。 我想你就像抗体想着抗原， 你的美丽是使我冲动的乙酰胆碱。 数个春秋尽是数个夜无眠。 每个碱基都代表着我们永恒的誓言。 期待那么一天， 我们能再相见， 交织缠绕成尘世间最美妙的双螺旋。 我站在大肠杆菌群中， 从头脑里倒出你的影子， 等待着PCR技术把你带到我的眼前。 退火，延伸&#8230;&#8230;]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！吾辈生物学人也是人才辈出，介个指的是文学方面的哦，以前找生物介绍过<a title="学生物的诗人" href="http://www.91bio.com/student-materials-poet/">生物学诗人</a>、<a title="生物学凡人修仙传" href="http://www.91bio.com/cultivation-biology-mortal-pass/">修仙者</a>、<a title="学生物的人伤不起，咆哮版！" href="http://www.91bio.com/things-people-can-not-afford-to-hurt-students-roaring-version/">狂人</a>、<a title="销魂的人类大脑神经元细胞”水墨画”" href="http://www.91bio.com/ecstasy-of-the-human-brain-neurons-cells-ink/">画家</a>等等诸多神人，看看生物人写的情书也别有一番风味哦。</p>
<p><img class="aligncenter" title="情书" src="http://fengxy1031.fyfz.cn/Blogers/pics//2011/3/0/fengxy1031_15552891.jpg" alt="" width="400" height="273" /></p>
<p>思念是基因般多彩的书卷，<br />
寂寞犹如病毒一样蔓延。<br />
我把爱写进核酸探针，<br />
深埋在你的复制起点。<br />
就算紫外源在我们身边出现，<br />
世间的一切都发生着基因突变，<br />
我们的心依然像肽键一样紧紧相连。<br />
追忆我们生物反应的日子，<br />
你的笑容就像荧光素一样点亮了我的今天与明天。<br />
而现在的你却为什么不在我身边？<br />
纵然我的心碎成了冈崎片段，<br />
你的心发生了电子跃迁，<br />
也不能改变我对你的爱恋。<br />
我想你就像抗体想着抗原，<br />
你的美丽是使我冲动的乙酰胆碱。<br />
数个春秋尽是数个夜无眠。<br />
每个碱基都代表着我们永恒的誓言。<br />
期待那么一天，<br />
我们能再相见，<br />
交织缠绕成尘世间最美妙的双螺旋。<br />
我站在大肠杆菌群中，<br />
从头脑里倒出你的影子，<br />
等待着PCR技术把你带到我的眼前。<br />
退火，延伸&#8230;&#8230;</p>
]]></content:encoded>
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		</item>
		<item>
		<title>技巧之怎样构建更好的实验小鼠</title>
		<link>http://www.91bio.com/techniques-of-how-to-build-better-mice/</link>
		<comments>http://www.91bio.com/techniques-of-how-to-build-better-mice/#comments</comments>
		<pubDate>Wed, 30 Nov 2011 03:45:50 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[实验动物]]></category>

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		<description><![CDATA[Collaborative Cross项目将构建出更多具有巨大遗传差异的实验小鼠，这些小鼠可以帮助我们发现致病基因。 自从Abbie Lathrop女士在自己的农场里大量饲养宠物鼠，并将它们销售给各大实验室开展小鼠科学实验至今已经过去100多年了，今天，小鼠遗传学家们终于可以给 这100年的研究工作画上一个句号。Abbie Lathrop女士是美国马萨诸塞州的一名退休教师，她在自家的农场里饲养了大量的小鼠，并且将这些小鼠在市面上销售，很多科研人员也从她那里购买小鼠进 行实验，于是Abbie Lathrop女士饲养的小鼠就成了20世纪初期第一批用于科学研究的实验小鼠，然而Lathrop小鼠与野生小鼠只有一点点遗传差异性，以至于到今天为 止，在世界上各个实验室里使用的小鼠也都差不太多，没有特别多的性状差异，这种均质化的小鼠给科研人员寻找致病基因的研究工作带来了不少的麻烦。 鉴于此，2001年于爱丁堡召开的国际哺乳动物基因组学大会（International Mammalian Genome Conference， IMGC）上有人提出了雄心勃勃的Collaborative Cross项目。该项目旨在构建数百种遗传差异非常明显、性状各异的小鼠品系，他们今天终于开始提交第一份“作业”了。这批新诞生的小鼠从外表上就能看出 彼此之间非常明显的差异，比如毛色的差异、尾巴长短的差异等等，这些小鼠还给科研人员提供了非常有价值的线索，有望通过这些线索发现具有抗霉菌感染功能的 基因，这在用以前使用的传统小鼠开展的科学研究工作中几乎是不可能完成的工作。 很多经典的实验小鼠品系，比如第一个用于小鼠基因组测序的C57BL/6小鼠就与来自同一祖先的其它小鼠有非常多的相似之处。这些传统品系小鼠彼此之间的 差异只表现在某几个具体的方面，比如是否具有抗感染能力等，但和野生小鼠之间的差异比起来就显得微不足道了。这些不同品系的传统小鼠基因组里有大段的遗传 片段完全一模一样，所以我们很难将某个特异性的性状与具体的一个基因联系起来，即便有幸能够找到表型与基因型之间的联系，那也得花费很长的时间才能取得成 功。 参与了Collaborative Cross项目的英国牛津大学的统计遗传学家Richard Mott指出，每个人都知道小鼠之间其实有着巨大的差异，只不过我们都看不到。 Collaborative Cross项目于2005年在美国能源部Oak Ridge国家实验室正式启动，该项目挑选了5种经典的实验小鼠品系和3种最近构建的源自野生小鼠的品系，将这些小鼠以及它们的杂交后代进行杂交，用这种方式来进行基因重组。 为了构建出纯合型的品系，需要进行很多代的近交交配。据参与了Collaborative Cross项目的美国缅因州巴哈伯Jackson实验室（Jackson Laboratory in Bar Harbor， Maine）的小鼠遗传学家Gary Churchill介绍，到目前为止，Collaborative Cross项目已经构建出了大约30种近交小鼠品系。 可喜的是，这些小鼠已经开始发挥作用了。Fuad Iraqi是以色列特拉维夫大学（Tel Aviv University）的一名遗传学家，他也参与了Collaborative Cross项目。他对66个近交系小鼠进行了检测，以查看它们对烟曲霉菌（Aspergillus fumigatus）的易感性如何。烟曲霉菌是一种生长在土壤中的霉菌，它会使人体患上呼吸道疾病。 实验发现，各品系小鼠对烟曲霉菌感染的抵抗能力各异，在感染后有的小鼠只能活4天，可有的小鼠可以存活28天。Iraqi课题组根据各新构建小鼠的基因型 信息以及它们8位“祖先”的基因组序列信息，再结合各小鼠的存活时间，最终锁定了小鼠基因组里的几个区域，这些区域里包含的那几个基因很有可能就与小鼠对 烟曲霉菌感染的抵抗能力有关。然后再用基因敲除技术将这几个基因给挨个去掉，看看到底是哪个基因起到了关键性的抗霉菌感染作用。 有了Collaborative Cross项目构建的小鼠，Iraqi课题组只用了1年的时间就取得了这样的成果，如果使用经典的实验小鼠进行同样的工作，Iraqi估计需要15年的时 间。现在，Iraqi的课题组又在用同样的方法寻找能够抵抗肺炎克雷伯氏杆菌（Klebsiella pneumoniae）感染的基因以及与其它性状相关的基因。 Churchill指出，他们估计这些小鼠走进实验室以后，各实验室不会慢慢地出成果，而是会大批量、爆炸性地出现一大批重要的科研成果。 Rudolph Balling是卢森堡系统生物医学中心（Luxembourg Centre for Systems [...]]]></description>
			<content:encoded><![CDATA[<div>
<p><img class="aligncenter" src="http://pic.biodiscover.com/uploads/a0a080f42e6f13b3a2df133f073095dd/article/biodiscover_7be0068a8505324122.jpg" alt="遗传差异小鼠" /></p>
<p style="text-align: center;">Collaborative Cross项目将构建出更多具有巨大遗传差异的实验小鼠，这些小鼠可以帮助我们发现致病基因。</p>
<p>自从Abbie Lathrop女士在自己的农场里大量饲养宠物鼠，并将它们销售给各大实验室开展小鼠科学实验至今已经过去100多年了，今天，小鼠遗传学家们终于可以给 这100年的研究工作画上一个句号。Abbie Lathrop女士是美国马萨诸塞州的一名退休教师，她在自家的农场里饲养了大量的小鼠，并且将这些小鼠在市面上销售，很多科研人员也从她那里购买小鼠进 行实验，于是Abbie Lathrop女士饲养的小鼠就成了20世纪初期第一批用于科学研究的实验小鼠，然而Lathrop小鼠与野生小鼠只有一点点遗传差异性，以至于到今天为 止，在世界上各个实验室里使用的小鼠也都差不太多，没有特别多的性状差异，这种均质化的小鼠给科研人员寻找致病基因的研究工作带来了不少的麻烦。</p>
<p>鉴于此，2001年于爱丁堡召开的国际哺乳动物基因组学大会（International Mammalian Genome Conference， IMGC）上有人提出了雄心勃勃的Collaborative Cross项目。该项目旨在构建数百种遗传差异非常明显、性状各异的小鼠品系，他们今天终于开始提交第一份“作业”了。这批新诞生的小鼠从外表上就能看出 彼此之间非常明显的差异，比如毛色的差异、尾巴长短的差异等等，这些小鼠还给科研人员提供了非常有价值的线索，有望通过这些线索发现具有抗霉菌感染功能的 基因，这在用以前使用的传统小鼠开展的科学研究工作中几乎是不可能完成的工作。</p>
<p>很多经典的实验小鼠品系，比如第一个用于小鼠基因组测序的C57BL/6小鼠就与来自同一祖先的其它小鼠有非常多的相似之处。这些传统品系小鼠彼此之间的 差异只表现在某几个具体的方面，比如是否具有抗感染能力等，但和野生小鼠之间的差异比起来就显得微不足道了。这些不同品系的传统小鼠基因组里有大段的遗传 片段完全一模一样，所以我们很难将某个特异性的性状与具体的一个基因联系起来，即便有幸能够找到表型与基因型之间的联系，那也得花费很长的时间才能取得成 功。</p>
<p>参与了Collaborative Cross项目的英国牛津大学的统计遗传学家Richard Mott指出，每个人都知道小鼠之间其实有着巨大的差异，只不过我们都看不到。</p>
<p>Collaborative Cross项目于2005年在美国能源部Oak Ridge国家实验室正式启动，该项目挑选了5种经典的实验小鼠品系和3种最近构建的源自野生小鼠的品系，将这些小鼠以及它们的杂交后代进行杂交，用这种方式来进行基因重组。</p>
<p>为了构建出纯合型的品系，需要进行很多代的近交交配。据参与了Collaborative Cross项目的美国缅因州巴哈伯Jackson实验室（Jackson Laboratory in Bar Harbor， Maine）的小鼠遗传学家Gary Churchill介绍，到目前为止，Collaborative Cross项目已经构建出了大约30种近交小鼠品系。</p>
<p>可喜的是，这些小鼠已经开始发挥作用了。Fuad Iraqi是以色列特拉维夫大学（Tel Aviv University）的一名遗传学家，他也参与了Collaborative Cross项目。他对66个近交系小鼠进行了检测，以查看它们对烟曲霉菌（Aspergillus fumigatus）的易感性如何。烟曲霉菌是一种生长在土壤中的霉菌，它会使人体患上呼吸道疾病。</p>
<p>实验发现，各品系小鼠对烟曲霉菌感染的抵抗能力各异，在感染后有的小鼠只能活4天，可有的小鼠可以存活28天。Iraqi课题组根据各新构建小鼠的基因型 信息以及它们8位“祖先”的基因组序列信息，再结合各小鼠的存活时间，最终锁定了小鼠基因组里的几个区域，这些区域里包含的那几个基因很有可能就与小鼠对 烟曲霉菌感染的抵抗能力有关。然后再用基因敲除技术将这几个基因给挨个去掉，看看到底是哪个基因起到了关键性的抗霉菌感染作用。</p>
<p>有了Collaborative Cross项目构建的小鼠，Iraqi课题组只用了1年的时间就取得了这样的成果，如果使用经典的实验小鼠进行同样的工作，Iraqi估计需要15年的时 间。现在，Iraqi的课题组又在用同样的方法寻找能够抵抗肺炎克雷伯氏杆菌（Klebsiella pneumoniae）感染的基因以及与其它性状相关的基因。</p>
<p>Churchill指出，他们估计这些小鼠走进实验室以后，各实验室不会慢慢地出成果，而是会大批量、爆炸性地出现一大批重要的科研成果。</p>
<p>Rudolph Balling是卢森堡系统生物医学中心（Luxembourg Centre for Systems Biomedicine）的主任，他认为在第一波科研成果诞生之后，这些Collaborative Cross小鼠的意义将变得更大，因为那时科学家们就可以对具有相同遗传背景但是表型却又各异的问题进行研究了。Balling认为，这还需要一个大的整 合型数据库，这将是决定整个工作成败的关键。</p>
<p>英国MRC Harwell 哺乳动物遗传学研究中心（Mammalian Genetics Unit at MRC Harwell， UK）的主任Steve Brown认为Collaborative Cross项目可以与国际小鼠基因敲除项目（International Knockout Mouse Consortium）很好第合作，构建数千个基因敲除小鼠品系，甚至可以构建缺失了每一个基因的小鼠品系。比如通过这种合作可以将某个基因（敲除了该基 因的小鼠易患糖尿病）与其它性状（比如血糖代谢情况）联系到一起。</p>
<p>目前还没有哪个数据库可以帮助科研人员对基因与性状进行上述关联，我们也不可能将全球的数百种小鼠进行交流。因此，Collaborative Cross项目正在于美国北卡罗来纳大学（University of North Carolina）合作，打算利用Collaborative Cross小鼠打造一个世界级的实验室。他们计划到今年底之前交付第一批Collaborative Cross小鼠，到2012年时预计可以提供100种Collaborative Cross小鼠。Churchill指出，他们希望能够尽可能地提供各种各样的实验小鼠。</p>
</div>
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		<title>非常有爱的生物女生实验室生活手绘图</title>
		<link>http://www.91bio.com/very-love-of-life-biological-laboratory-hand-drawing-girls/</link>
		<comments>http://www.91bio.com/very-love-of-life-biological-laboratory-hand-drawing-girls/#comments</comments>
		<pubDate>Tue, 29 Nov 2011 01:57:49 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

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		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 只看不不说话，呵呵！ 实验室女生の蛋白之母 实验室女生の养小鼠 实验室女生の限电通知 实验室女生の老板的咆哮~ 实验室女生の老板语录~ 实验室女生の小胖妞~]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>只看不不说话，呵呵！<br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160926015042.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/20110816092635538.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160926489947.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160927215740.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160927454602.jpg" alt="" /></p>
<p><img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160922355151.jpg" alt="" /></p>
<p>实验室女生の蛋白之母</p>
<p><img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160923172711.jpg" alt="" /></p>
<p>实验室女生の养小鼠</p>
<p><img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160923412982.jpg" alt="" /></p>
<p>实验室女生の限电通知<br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160924074232.jpg" alt="" /></p>
<p>实验室女生の老板的咆哮~</p>
<p><img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/20110816092437293.jpg" alt="" /></p>
<p>实验室女生の老板语录~</p>
<p><img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/20110816092502890.jpg" alt="" /></p>
<p>实验室女生の小胖妞~<br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160925278372.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160928108019.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160928476065.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160929026914.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160929264367.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160930193355.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160930379544.jpg" alt="" /><br />
<img src="http://files.instrument.com.cn/bbs/upfile/images/20110816/201108160931076390.jpg" alt="" /></p>
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		<title>生物技巧之正确使用DEPC</title>
		<link>http://www.91bio.com/the-proper-use-of-biological-techniques-depc/</link>
		<comments>http://www.91bio.com/the-proper-use-of-biological-techniques-depc/#comments</comments>
		<pubDate>Mon, 28 Nov 2011 12:24:45 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[RNA]]></category>
		<category><![CDATA[分子生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645484</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 今天讲讲DEPC，介个东东让人又爱又恨的，还是讲讲如何正确使用它吧！DEPC有致癌性，不能处理Tris溶液等这些事项大家都知道，所以不谈。谈一些实验室中的操作误区。 误区一：重复使用含DEPC的水处理枪头、离心管等。由于DEPC较贵，而且书上说DEPC要用高压灭菌处理去除，于是有些人就萌发了重复使用DEPC的想法，即对含有DEPC的水不进行高压灭菌，从而重复使用含DEPC的水处理枪头、离心管等。节约本是好事，但这样的节约是无效的。为什么不能重复使用含DEPC的水，因为DEPC在水溶液中不稳定，极易分解，DEPC在pH6.0和pH7.0的PBS缓冲液中的半衰期分别约为20min和10min，DEPC在水中的半衰期约为30min。因此，重复使用含DEPC的水就不能保证枪头和离心管的RNase-free。 误区二：必需长时间高压灭菌来彻底去除DEPC。用DEPC处理过的溶液，在15－20min的高压灭菌后还可以闻到一股特殊的香味，因此有人认为高压灭菌去除DEPC不彻底，所以要延长高压灭菌的时间以完全去除DEPC。但是延长高压灭菌的时间并不需要，因为闻到的特殊香味不是DEPC的，而是DEPC分解产物之一的乙醇同溶液中残留的微量的羧酸（如甲酸和乙酸等）反应产生的挥发性脂类。这种特殊的水果香味不代表有痕量的DEPC残留。 误区三：溶液中DEPC含量约高，灭活RNase的效果越好。这个误区错了一半，的确，1% DEPC能灭活高达1000 ng/ml的RNase A，而0.1% DEPC只能灭活少于500 ng/ml的RNase A。但是溶液中残留的DEPC副产物会抑制一些酶反应，例如DEPC副产物会抑制体外转录反应，因此DEPC含量越高，高压灭菌后的DEPC副产物就越多，抑制越明显。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>今天讲讲DEPC，介个东东让人又爱又恨的，还是讲讲如何正确使用它吧！DEPC有致癌性，不能处理Tris溶液等这些事项大家都知道，所以不谈。谈一些实验室中的操作误区。</p>
<p><img class="aligncenter" title="3" src="http://www.biodee.net/UploadFile/image/Up-2009-11-09_633933939603305000-DEPC.jpg" alt="" width="336" height="448" /></p>
<p>误区一：重复使用含DEPC的水处理枪头、离心管等。由于DEPC较贵，而且书上说DEPC要用高压灭菌处理去除，于是有些人就萌发了重复使用DEPC的想法，即对含有DEPC的水不进行高压灭菌，从而重复使用含DEPC的水处理枪头、离心管等。节约本是好事，但这样的节约是无效的。为什么不能重复使用含DEPC的水，因为DEPC在水溶液中不稳定，极易分解，DEPC在pH6.0和pH7.0的PBS缓冲液中的半衰期分别约为20min和10min，DEPC在水中的半衰期约为30min。因此，重复使用含DEPC的水就不能保证枪头和离心管的RNase-free。</p>
<p>误区二：必需长时间高压灭菌来彻底去除DEPC。用DEPC处理过的溶液，在15－20min的高压灭菌后还可以闻到一股特殊的香味，因此有人认为高压灭菌去除DEPC不彻底，所以要延长高压灭菌的时间以完全去除DEPC。但是延长高压灭菌的时间并不需要，因为闻到的特殊香味不是DEPC的，而是DEPC分解产物之一的乙醇同溶液中残留的微量的羧酸（如甲酸和乙酸等）反应产生的挥发性脂类。这种特殊的水果香味不代表有痕量的DEPC残留。</p>
<p>误区三：溶液中DEPC含量约高，灭活RNase的效果越好。这个误区错了一半，的确，1% DEPC能灭活高达1000 ng/ml的RNase A，而0.1% DEPC只能灭活少于500 ng/ml的RNase A。但是溶液中残留的DEPC副产物会抑制一些酶反应，例如DEPC副产物会抑制体外转录反应，因此DEPC含量越高，高压灭菌后的DEPC副产物就越多，抑制越明显。</p>
]]></content:encoded>
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		<title>蛋白电泳中常犯的6条错误</title>
		<link>http://www.91bio.com/protein-electrophoresis-often-committed-six-errors/</link>
		<comments>http://www.91bio.com/protein-electrophoresis-often-committed-six-errors/#comments</comments>
		<pubDate>Mon, 28 Nov 2011 02:06:15 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[SDS-PAGE]]></category>
		<category><![CDATA[实验技巧]]></category>
		<category><![CDATA[生物实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645480</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！还是来说说蛋白电泳的破事吧！转载自丁香园！ 在大型凝胶的高分辨率双向电泳中，这也是蛋白质组学中最重要的分离方法之一，这些错误的后果会变得更为明显。来自GE Healthcare Life Sciences的Reiner Westermeier博士指出了电泳中常犯的几点错误。 1. 聚丙烯酰胺凝胶的交联系数的错误计算 聚丙烯酰胺凝胶的孔大小是由两种因素控制的：丙烯酰胺的总浓度T和交联度C： 其中a是丙烯酰胺的质量，以g为单位，b是亚甲基双丙烯酰胺的质量，以g为单位，V是体积，以mL为单位。 错误 有时候假设给定的丙烯酰胺总浓度T就是单位体积中丙烯酰胺的百分比，而交联系数C就是单位体积中亚甲基双丙烯酰胺的百分比。这导致凝胶中交联剂的含量过高，产生了不透明的凝胶，不但易碎，而且高度疏水。 正确的操作 根据上面的等式配置溶液，或者使用即用型的丙烯酰胺/亚甲基双丙烯酰胺储备液，它可从不同的来源购买到。 2. 聚丙烯酰胺凝胶的聚合温度和时间 丙烯酰胺和亚甲基双丙烯酰胺的聚合通常在30分钟至一小时内发生。然而，在这段时间内，基质的形成并没有结束。所谓的沉默聚合仍在继续，直至完整的基质形成。这一部分的聚合过程需要数小时，并且只在室温（20-25°C）下才能高效开展。 错误 在有些实验室，聚丙烯酰胺凝胶在冰箱或冷库中聚合，或者在聚合开始后一个或几个小时就已经使用。这可能会造成分离的干扰，尤其是当蛋白必须在天然条件下分离时。并且，若下游必须开展质谱分析，那么未完全聚合的丙烯酰胺单体或寡聚物会在质谱图中产生高的背景噪音。 正确的操作 让凝胶聚合在室温下过夜进行。如果需要，凝胶可随后储存在冰箱或冷库中。 3. SDS样品中产生聚集物 单向SDS聚丙烯酰胺凝胶电泳的样品通常须在1-2 % SDS和1 %（w/v）DTT（≈65 mM）或2 %（v/v）β-巯基乙醇（≈350 mM）存在时煮沸几分钟，以实现多肽链的彻底变性和解折叠。 错误 样品常常在冷却后直接上样到SDS凝胶中。通常还原剂被部分氧化，其中一部分半胱氨酸不受保护，导致重折叠和多肽间聚集物的形成。重折叠形成模糊的区带，有时是两条带。一些聚集物在高分子量区域形成了人为的区带；其他聚集物则过大，无法进入凝胶，在点样孔形成了沉淀聚集。还原剂的过量可能在整个凝胶上40-60 kDa的分子量范围内形成两条或三条水平线。 正确的操作 煮沸后让样品冷却至60°C左右，然后加入碘乙酰胺。通常我们在100 μl样品中加入10 μl 20%（w/v）的碘乙酰胺水溶液，并在室温下孵育30分钟。 通过这一步，我们可以获得更为锐利的条带，并排除了一些假象，如两条带、其他的高分子量条带、点样孔中的沉淀，以及凝胶上的线。 4. SDS电泳中运行缓冲液的滴定 到目前为止，大部分单向和双向SDS聚丙烯酰胺凝胶电泳的应用是在基于Lämmli的不连续缓冲液系统中开展的[1]。其他基于磷酸盐、咪唑或其他缓冲液的均一系统表现出的分辨率和重复性不高。在不连续的“Lämmli”系统中，积层胶和分离胶缓冲液是由指定pH值的Tris和氯离子缓冲液组成的 – 其中含有或不含SDS，运行缓冲液中则包含SDS、Tris和甘氨酸。氯离子作为前导离子和甘氨酸作为尾随离子之间的不连续性控制蛋白缓慢进入聚丙烯酰胺凝胶，并实现积层效应，产生非常锐利和清晰可辨的区带。 错误 不幸的是，有一些操作步骤建议将Tris-甘氨酸缓冲液的pH调整至pH 8.3-8.4。这导致上层缓冲液槽中的氯离子载量过高，产生下列影响：分离将比预期时间要长得多，且一些区带不好分辨。因氯离子相对其他所有离子有着非常高的电泳迁移率，所以只有氯离子向阳极方向迁移，直到上层缓冲液槽中没有任何的氯离子剩余。到那时蛋白离子才会开始迁移。在大型的电泳槽中，这需要几个小时至过夜。此外，积层效果也不如理想的不连续缓冲液那样好。 正确的操作 只使用Tris碱、甘氨酸和SDS作为运行缓冲液。请勿滴定缓冲液，即使它的pH高于9。使用高质量的试剂。 参考文献 [1] Lämmli , U.K., Cleavage [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！还是来说说蛋白电泳的破事吧！转载自丁香园！</p>
<p>在大型凝胶的高分辨率双向电泳中，这也是蛋白质组学中最重要的分离方法之一，这些错误的后果会变得更为明显。来自GE Healthcare Life Sciences的Reiner Westermeier博士指出了电泳中常犯的几点错误。</p>
<p>1. 聚丙烯酰胺凝胶的交联系数的错误计算<br />
聚丙烯酰胺凝胶的孔大小是由两种因素控制的：丙烯酰胺的总浓度T和交联度C：<br />
<img src="http://www.ebiotrade.com/imagewatermark/UploadFile/2011031817245713.JPG" alt="" /><br />
其中a是丙烯酰胺的质量，以g为单位，b是亚甲基双丙烯酰胺的质量，以g为单位，V是体积，以mL为单位。</p>
<p>错误<br />
有时候假设给定的丙烯酰胺总浓度T就是单位体积中丙烯酰胺的百分比，而交联系数C就是单位体积中亚甲基双丙烯酰胺的百分比。这导致凝胶中交联剂的含量过高，产生了不透明的凝胶，不但易碎，而且高度疏水。</p>
<p>正确的操作<br />
根据上面的等式配置溶液，或者使用即用型的丙烯酰胺/亚甲基双丙烯酰胺储备液，它可从不同的来源购买到。</p>
<p>2. 聚丙烯酰胺凝胶的聚合温度和时间<br />
丙烯酰胺和亚甲基双丙烯酰胺的聚合通常在30分钟至一小时内发生。然而，在这段时间内，基质的形成并没有结束。所谓的沉默聚合仍在继续，直至完整的基质形成。这一部分的聚合过程需要数小时，并且只在室温（20-25°C）下才能高效开展。</p>
<p>错误<br />
在有些实验室，聚丙烯酰胺凝胶在冰箱或冷库中聚合，或者在聚合开始后一个或几个小时就已经使用。这可能会造成分离的干扰，尤其是当蛋白必须在天然条件下分离时。并且，若下游必须开展质谱分析，那么未完全聚合的丙烯酰胺单体或寡聚物会在质谱图中产生高的背景噪音。</p>
<p>正确的操作<br />
让凝胶聚合在室温下过夜进行。如果需要，凝胶可随后储存在冰箱或冷库中。</p>
<p>3. SDS样品中产生聚集物<br />
单向SDS聚丙烯酰胺凝胶电泳的样品通常须在1-2 % SDS和1 %（w/v）DTT（≈65 mM）或2 %（v/v）β-巯基乙醇（≈350 mM）存在时煮沸几分钟，以实现多肽链的彻底变性和解折叠。</p>
<p>错误<br />
样品常常在冷却后直接上样到SDS凝胶中。通常还原剂被部分氧化，其中一部分半胱氨酸不受保护，导致重折叠和多肽间聚集物的形成。重折叠形成模糊的区带，有时是两条带。一些聚集物在高分子量区域形成了人为的区带；其他聚集物则过大，无法进入凝胶，在点样孔形成了沉淀聚集。还原剂的过量可能在整个凝胶上40-60 kDa的分子量范围内形成两条或三条水平线。</p>
<p>正确的操作<br />
煮沸后让样品冷却至60°C左右，然后加入碘乙酰胺。通常我们在100 μl样品中加入10 μl 20%（w/v）的碘乙酰胺水溶液，并在室温下孵育30分钟。<br />
通过这一步，我们可以获得更为锐利的条带，并排除了一些假象，如两条带、其他的高分子量条带、点样孔中的沉淀，以及凝胶上的线。</p>
<p>4. SDS电泳中运行缓冲液的滴定<br />
到目前为止，大部分单向和双向SDS聚丙烯酰胺凝胶电泳的应用是在基于Lämmli的不连续缓冲液系统中开展的[1]。其他基于磷酸盐、咪唑或其他缓冲液的均一系统表现出的分辨率和重复性不高。在不连续的“Lämmli”系统中，积层胶和分离胶缓冲液是由指定pH值的Tris和氯离子缓冲液组成的 – 其中含有或不含SDS，运行缓冲液中则包含SDS、Tris和甘氨酸。氯离子作为前导离子和甘氨酸作为尾随离子之间的不连续性控制蛋白缓慢进入聚丙烯酰胺凝胶，并实现积层效应，产生非常锐利和清晰可辨的区带。</p>
<p>错误<br />
不幸的是，有一些操作步骤建议将Tris-甘氨酸缓冲液的pH调整至pH 8.3-8.4。这导致上层缓冲液槽中的氯离子载量过高，产生下列影响：分离将比预期时间要长得多，且一些区带不好分辨。因氯离子相对其他所有离子有着非常高的电泳迁移率，所以只有氯离子向阳极方向迁移，直到上层缓冲液槽中没有任何的氯离子剩余。到那时蛋白离子才会开始迁移。在大型的电泳槽中，这需要几个小时至过夜。此外，积层效果也不如理想的不连续缓冲液那样好。</p>
<p>正确的操作<br />
只使用Tris碱、甘氨酸和SDS作为运行缓冲液。请勿滴定缓冲液，即使它的pH高于9。使用高质量的试剂。</p>
<p>参考文献<br />
[1] Lämmli , U.K., Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 1970, 227, 680–685.</p>
<p>5. 细胞中PBS的不彻底去除<br />
在裂解细胞，分离出蛋白进行高分辨率的双向电泳之前，必须用等渗溶液对细胞培养物中的细胞进行高效洗涤。通常使用PBS（磷酸盐缓冲液）。</p>
<p>错误<br />
PBS溶液有时未能从细胞中彻底去除。这导致样品中的盐污染，致使双向电泳图中出现许多长的水平条纹。</p>
<p>正确的操作<br />
最后一次洗涤后，必须用移液器彻底吸光细胞中的PBS溶液，一滴也不剩。如果这不太容易做到，我们建议增加一步至三步洗涤，使用250 mM蔗糖和10 mM Tris（pH 7.0）的溶液。</p>
<p>6. 双向电泳中IPG胶条的过度聚焦<br />
到目前为止，高分辨率的双向电泳为复杂蛋白混合物的分离带来了最高的分辨率。因此，它是蛋白质组分析中十分常用的方法。理想情况下，生成的双向图显示了所有蛋白的清晰可辨圆点。不幸的是，实际情况却常常不是这样：有时圆点的某些区域模糊，有时形成了水平或垂直条纹，取代了圆点。这些干扰可能有很多原因，过度聚焦就是其中之一。</p>
<p>如今在第一向分离即等电聚焦中大多采用了聚丙烯酰胺胶条，它们包含了固定化的pH梯度。由于pH梯度是固定在聚丙烯酰胺基质中的，所以当长期暴露在电场中时它不能散开。然而，过度聚焦会导致双向图像的一些其他干扰，具体会在下文中描述。</p>
<p>碱性pH梯度下的蛋白降解<br />
当一些蛋白必须在它们的等电点停留一会时，它们不太稳定。实践表明，一些碱性蛋白在它们等电点的pH下对水解特别敏感。这可能导致某些蛋白点延伸出水平条纹。因此碱性IPG胶条的聚焦时间应当限制在最少。</p>
<p>“硫脲效应”<br />
根据Rabiloud[2]，在提取蛋白和水化IPG胶条时，向尿素中添加硫脲可提高疏水蛋白的溶解度。与只用尿素相比，生成的双向图显示出明显更多的点。然而，在某些情况下，在pH 5.5区域会形成一条很强的垂直条纹，而此条纹酸性一侧的点会比凝胶其他部分的点更加模糊。这种现象可能会观察到，但也并非存在于所有批次的硫脲中。但是它也与应用在IPG胶条上的伏小时相关。如果观察到这种现象，建议降低应用在IPG胶条上的伏小时量。</p>
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		<title>不找生物系女生的N个理由</title>
		<link>http://www.91bio.com/department-of-biology-girls-do-not-look-for-reasons-for-the-n/</link>
		<comments>http://www.91bio.com/department-of-biology-girls-do-not-look-for-reasons-for-the-n/#comments</comments>
		<pubDate>Mon, 28 Nov 2011 00:59:59 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

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		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！这篇转载的文章，有些让学生物的妹纸伤不起啊，哪个再来一个不找生物学男生的N个理由啊！ 说：不要找生物系的妹子当女盆友，尤其当你也学生物的时候，因为……反驳：生物系女生有啥不好！我们既会做培养基，也会做饭；既会科学避孕，也会化学阉割。。。 1.当你鼓起勇气送她玫瑰花表示爱意时，她会严肃地告诉你，那其实只是把红月季。 2.在你们享受烛光晚餐时，她会津津乐道地给你讲刚刚在解剖课上“就义”在她手上的那条——蛔虫。 3.也许她知道如何配培养基，却不知道如何为你做一顿饭。 4.她会对着街上的宠物兔子大叫卡哇伊，也会在实验台上面不改色地抽干小兔子的血。 5.她买回一条鲜鱼说要给你炖鱼汤，可一个小时以后你发现她还在研究鱼的胰腺。 6.当你求婚时，她会仔细调查你的家族病史顺便查一下你三代以内的血亲。 7.如果以上你都可以接受，那么恭喜你。但请小心，也许在她眼中，你只是一只可供研究的灵长类动物…… 不过还有有才的童鞋做了补充！ Paradoxian：偶是一名生科的孩子。觉得楼主说的几点完全不够啊。还有：在你不适的时候帮你复习各脏器的生理结构和功能；仔细研读各种药品说明书并查资料；走在路上突然停住听鸟叫说学名；走在路上突然目光被某株植物吸引；很认真地洗手洗碗…… 平衡的小秤子：“她会对着街上的宠物兔子大叫卡哇伊，也会在实验台上面不改色地抽干小兔子的血。”汗死，别把学生物滴小朋友讲得这么冷血嘛，生科女生也有不喜欢抽血的，我就曾经从别人的手下救出两只小白鼠养着，天天给它们喂饼干，带着它们晒太阳。 mickey_hho：这条确实有啊，记得某年发小聚会，本来大家在聊天，不知为啥我和仅有的另一个学生物的孩子就开始研究地上那棵无辜的小草叫啥名字，然后所有人开始黑线……]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！这篇转载的文章，有些让学生物的妹纸伤不起啊，哪个再来一个不找生物学男生的N个理由啊！</p>
<p>说：不要找生物系的妹子当女盆友，尤其当你也学生物的时候，因为……反驳：生物系女生有啥不好！我们既会做培养基，也会做饭；既会科学避孕，也会化学阉割。。。</p>
<p><img class="aligncenter" title="21" src="http://img.xh888.com/middle/0/23/23463.jpg" alt="" width="440" height="1197" /></p>
<p>1.当你鼓起勇气送她玫瑰花表示爱意时，她会严肃地告诉你，那其实只是把红月季。</p>
<p>2.在你们享受烛光晚餐时，她会津津乐道地给你讲刚刚在解剖课上“就义”在她手上的那条——蛔虫。</p>
<p>3.也许她知道如何配培养基，却不知道如何为你做一顿饭。</p>
<p>4.她会对着街上的宠物兔子大叫卡哇伊，也会在实验台上面不改色地抽干小兔子的血。</p>
<p>5.她买回一条鲜鱼说要给你炖鱼汤，可一个小时以后你发现她还在研究鱼的胰腺。</p>
<p>6.当你求婚时，她会仔细调查你的家族病史顺便查一下你三代以内的血亲。</p>
<p>7.如果以上你都可以接受，那么恭喜你。但请小心，也许在她眼中，你只是一只可供研究的灵长类动物……</p>
<p>不过还有有才的童鞋做了补充！</p>
<p>Paradoxian：偶是一名生科的孩子。觉得楼主说的几点完全不够啊。还有：在你不适的时候帮你复习各脏器的生理结构和功能；仔细研读各种药品说明书并查资料；走在路上突然停住听鸟叫说学名；走在路上突然目光被某株植物吸引；很认真地洗手洗碗……</p>
<p>平衡的小秤子：“她会对着街上的宠物兔子大叫卡哇伊，也会在实验台上面不改色地抽干小兔子的血。”汗死，别把学生物滴小朋友讲得这么冷血嘛，生科女生也有不喜欢抽血的，我就曾经从别人的手下救出两只小白鼠养着，天天给它们喂饼干，带着它们晒太阳。</p>
<p>mickey_hho：这条确实有啊，记得某年发小聚会，本来大家在聊天，不知为啥我和仅有的另一个学生物的孩子就开始研究地上那棵无辜的小草叫啥名字，然后所有人开始黑线……</p>
]]></content:encoded>
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		<slash:comments>5</slash:comments>
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		<item>
		<title>生物技巧：如何每次都能够制备出完美的琼脂平板</title>
		<link>http://www.91bio.com/how-to-make-the-perfect-agar-plate-every-time/</link>
		<comments>http://www.91bio.com/how-to-make-the-perfect-agar-plate-every-time/#comments</comments>
		<pubDate>Wed, 23 Nov 2011 01:35:16 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645308</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！ 做平板对于各位童鞋来说，应该是非常easy的事情，但是也会有些小问题导致实验失败，以下讲述些小技巧可以保证每次都能够制备出完美的平板-没有气泡、或气雾等。 1. Make up the medium according to the recipe, then add the desired amount of agar (normally about 1% w/v) and stir If you autoclave without stirring, with the argarose still floating on top of the liquid, you get an agarose cake in the medium. Interesting, but useless 2. Autoclave for 25 minutes [...]]]></description>
			<content:encoded><![CDATA[<p><img src="http://bitesizebio.s3.amazonaws.com/content/uploads/2011/06/lb-plates.jpg" alt="" width="640" height="265" /><br />
找生物-分享有趣、实用的生物技巧！<br />
<!--Ads1--><br />
做平板对于各位童鞋来说，应该是非常easy的事情，但是也会有些小问题导致实验失败，以下讲述些小技巧可以保证每次都能够制备出完美的平板-没有气泡、或气雾等。</p>
<p>1. Make up the medium according to the recipe, then add the desired amount of agar (normally about 1% w/v) and stir<br />
If you autoclave without stirring, with the argarose still floating on top of the liquid, you get an agarose cake in the medium. Interesting, but useless</p>
<p>2. Autoclave for 25 minutes<br />
After autoclaving you can of course store the medium-agar mix in a toughened glass bottle then melt it in a microwave or water bath when needed. Make sure you use toughened glass bottles, or this (see #2) can happen</p>
<p>3. Cool the medium-agar mix to 55°C. For routinely consistent results, do the cooling for a couple of hours in a 55°C water bath<br />
Agar starts to solidify at about 50°C. Using the water bath means you can consistently cool the mixture to just above the solidification temperature. Before I used a waterbath, I used to just cool it in air but would inevitably forget about it and come back to find solidification had already started — lumpy plates are no good for spreading!</p>
<p>4. Add any antibiotics or supplements<br />
You can be confident that the agar is at a suitable temperature because you have cooled it in the water bath</p>
<p>5. Pour the plates. Use about 30 mL for each plate in a 100mm diameter plate<br />
The less agar-medium mix in each plate, the more easily they will dry out. 30 mL is a good amount for long term storage, 10-20 mL is fine if you are going to use the plates relatively soon. For consistency, I’d recommend using a serological pipette. Suck up 2-3 mLs more than you need to minimise blowing bubbles into the plate.</p>
<p>6. Allow the plates to set. If there are any bubbles in the plates, briefly pass the flame over to pop them.<br />
Classic error: trying to move the plates before the set is just asking for trouble. Just leave them alone!</p>
<p>7. Dry the plates in the laminar flow hood with the lid slightly off for 30 minutes (or in a 37°C incubator for 2-3 hours, or RT for 2-3 days).<br />
Drying the plate is very important for storing the plates and growing colonies on them. If you don’t dry them, the moisture will evaporate and condense on the lid during storage or during incubation and give you horrible wet plates to work with. At worst the moisture can affect the plating of your cells. Use a timer to remind you when the 30 minutes is up as – in my experience – it is very easy to forget about your plates and come back to find your plates have turned into agar crisps/chips. Tasty.</p>
<p>8. Use the plates immediately or seal them. You can use Parafilm, or in the bag that the plates came in. Store the plates at 4°C<br />
A quick way to label your plates is to have a color code for each antibiotic and medium type you tend to use (e.g. red for ampicillin, black for kanamycin, green for LB, blue for M9 etc). Stack the plates and use the appropriately colored lab marker to draw a line down the whole stack. Make sure you keep the color code to hand though.</p>
<p>Now you should have perfect plates every time. If you’ve got any further ideas or additions to this protocol, please leave a comment.</p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>小技巧之PCR常见问题</title>
		<link>http://www.91bio.com/tips-of-the-pcr-faqs/</link>
		<comments>http://www.91bio.com/tips-of-the-pcr-faqs/#comments</comments>
		<pubDate>Thu, 17 Nov 2011 13:48:48 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645472</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！吐槽一下，找生物好久没有更新了，离上篇文章已经有多个多月了，因为最近找生物上网不方便，再就是找生物的本本坏掉了，还没有修好，只好又入手了一个本本，最近又买了3g的无线网卡，以后找生物尽量保证更新！ 今天找生物分享一些PCR方法的经验技巧，主要搜集自网络资源！ 问题1：无扩增产物 现象：正对照有条带，而样品则无 原因: 1.模板:含有抑制物，含量低 2.Buffer对样品不合适 3.引物设计不当或者发生降解 4.反应条件：退火温度太高，延伸时间太短 对策: 1.纯化模板或者使用试剂盒提取模板DNA或加大模板的用量 2.更换Buffer或调整浓度 3.重新设计引物（避免链间二聚体和链内二级结构）或者换一管新引物 4.降低退火温度、延长延伸时间 问题2：非特异性扩增 现象：条带与预计的大小不一致或者非特异性扩增带 原因： 1.引物特异性差 2.模板或引物浓度过高 3.酶量过多 4.Mg2+浓度偏高 5.退火温度偏低 6.循环次数过多 对策： 1.重新设计引物或者使用巢式PCR 2.适当降低模板或引物浓度 3.适当减少酶量 4.降低镁离子浓度 5.适当提高退火温度或使用二阶段温度法 6.减少循环次数 问题3：拖尾 现象：产物在凝胶上呈Smear状态。 原因： 1.模板不纯 2.Buffer不合适 3.退火温度偏低 4.酶量过多 5.dNTP、Mg 2+浓度偏高 6.循环次数过多 对策： 1.纯化模板 2.更换Buffer 3.适当提高退火温度 4.适量用酶 5.适当降低dNTP和镁离子的浓度 6.减少循环次数 问题4：假阳性 现象：空白对照出现目的扩增产物 原因： 靶序列或扩增产物 的交*污染 对策： 1.操作时应小心轻柔，防止将靶序列吸入加样枪内或溅出离心管外； 2.除酶及不能耐高温的物质外，所有试剂或器材均应高压消毒。所用离心管 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！吐槽一下，找生物好久没有更新了，离上篇文章已经有多个多月了，因为最近找生物上网不方便，再就是找生物的本本坏掉了，还没有修好，只好又入手了一个本本，最近又买了3g的无线网卡，以后找生物尽量保证更新！</p>
<p>今天找生物分享一些PCR方法的经验技巧，主要搜集自网络资源！</p>
<p>问题1：无扩增产物<br />
现象：正对照有条带，而样品则无<br />
原因:<br />
1.模板:含有抑制物，含量低<br />
2.Buffer对样品不合适<br />
3.引物设计不当或者发生降解<br />
4.反应条件：退火温度太高，延伸时间太短<br />
对策:<br />
1.纯化模板或者使用试剂盒提取模板DNA或加大模板的用量<br />
2.更换Buffer或调整浓度<br />
3.重新设计引物（避免链间二聚体和链内二级结构）或者换一管新引物<br />
4.降低退火温度、延长延伸时间</p>
<p>问题2：非特异性扩增</p>
<p>现象：条带与预计的大小不一致或者非特异性扩增带<br />
原因：<br />
1.引物特异性差<br />
2.模板或引物浓度过高<br />
3.酶量过多<br />
4.Mg2+浓度偏高<br />
5.退火温度偏低<br />
6.循环次数过多<br />
对策：<br />
1.重新设计引物或者使用巢式PCR<br />
2.适当降低模板或引物浓度<br />
3.适当减少酶量<br />
4.降低镁离子浓度<br />
5.适当提高退火温度或使用二阶段温度法<br />
6.减少循环次数</p>
<p>问题3：拖尾<br />
现象：产物在凝胶上呈Smear状态。<br />
原因：<br />
1.模板不纯<br />
2.Buffer不合适<br />
3.退火温度偏低<br />
4.酶量过多<br />
5.dNTP、Mg 2+浓度偏高<br />
6.循环次数过多<br />
对策：<br />
1.纯化模板<br />
2.更换Buffer<br />
3.适当提高退火温度<br />
4.适量用酶<br />
5.适当降低dNTP和镁离子的浓度<br />
6.减少循环次数</p>
<p>问题4：假阳性<br />
现象：空白对照出现目的扩增产物<br />
原因：<br />
靶序列或扩增产物<br />
的交*污染<br />
对策：<br />
1.操作时应小心轻柔，防止将靶序列吸入加样枪内或溅出离心管外；<br />
2.除酶及不能耐高温的物质外，所有试剂或器材均应高压消毒。所用离心管<br />
及加样枪头等均应一次性使用。<br />
3.各种试剂最好先进行分装，然后低温贮存<br />
PCR引物设计的黄金法则 （转自tiangen）</p>
<p>1.引物最好在模板cDNA的保守区内设计。<br />
DNA序列的保守区是通过物种间相似序列的比较确定的。在NCBI上搜索不同物种的同一基因，通过序列分析软件（比如DNAman）比对（Alignment），各基因相同的序列就是该基因的保守区</p>
<p>2.引物长度一般在15~30碱基之间。<br />
引物长度（primer length）常用的是18-27 bp，但不应大于38，因为过长会导致其延伸温度大于74℃，不适于Taq DNA 聚合酶进行反应。</p>
<p>3.引物GC含量在40%~60%之间，Tm值最好接近72℃。<br />
GC含量（composition）过高或过低都不利于引发反应。上下游引物的GC含量不能相差太大。另外，上下游引物的Tm值（melting temperature）是寡核苷酸的解链温度，即在一定盐浓度条件下，50%寡核苷酸双链解链的温度。有效启动温度，一般高于Tm值5~10℃。若按公式Tm= 4（G+C）+2（A+T）估计引物的Tm值，则有效引物的Tm为55~80℃，其Tm值最好接近72℃以使复性条件最佳。</p>
<p>4.引物3′端要避开密码子的第3位。<br />
如扩增编码区域，引物3′端不要终止于密码子的第3位，因密码子的第3位易发生简并，会影响扩增的特异性与效率。</p>
<p>5.引物3′端不能选择A，最好选择T。<br />
引物3′端错配时，不同碱基引发效率存在着很大的差异，当末位的碱基为A时，即使在错配的情况下，也能有引发链的合成，而当末位链为T时，错配的引发效率大大降低，G、C错配的引发效率介于A、T之间，所以3′端最好选择T。</p>
<p>6. 碱基要随机分布。<br />
引物序列在模板内应当没有相似性较高，尤其是3’端相似性较高的序列，否则容易导致错误引发（False priming）。降低引物与模板相似性的一种方法是，引物中四种碱基的分布最好是随机的，不要有聚嘌呤或聚嘧啶的存在。尤其3′端不应超过3个连续的G或C，因这样会使引物在GC富集序列区错误引发。</p>
<p>7. 引物自身及引物之间不应存在互补序列。<br />
引物自身不应存在互补序列，否则引物自身会折叠成发夹结构（Hairpin）使引物本身复性。这种二级结构会因空间位阻而影响引物与模板的复性结合。引物自身不能有连续4个碱基的互补。<br />
两引物之间也不应具有互补性，尤其应避免3′ 端的互补重叠以防止引物二聚体（Dimer与Cross dimer）的形成。引物之间不能有连续4个碱基的互补。<br />
引物二聚体及发夹结构如果不可避免的话，应尽量使其△G值不要过高（应小于4.5kcal/mol）。否则易导致产生引物二聚体带，并且降低引物有效浓度而使PCR 反应不能正常进行。</p>
<p>8. 引物5′ 端和中间△G值应该相对较高，而3′ 端△G值较低。<br />
△G值是指DNA 双链形成所需的自由能，它反映了双链结构内部碱基对的相对稳定性，△G值越大，则双链越稳定。应当选用5′ 端和中间△G值相对较高，而3′ 端△G值较低（绝对值不超过9）的引物。引物3′ 端的△G 值过高，容易在错配位点形成双链结构并引发DNA 聚合反应。（不同位置的△G值可以用Oligo 6软件进行分析）</p>
<p>9.引物的5′端可以修饰，而3′端不可修饰。<br />
引物的5′ 端决定着PCR产物的长度，它对扩增特异性影响不大。因此，可以被修饰而不影响扩增的特异性。引物5′ 端修饰包括：加酶切位点；标记生物素、荧光、地高辛、Eu3+等；引入蛋白质结合DNA序列；引入点突变、插入突变、缺失突变序列；引入启动子序列等。<br />
引物的延伸是从3′ 端开始的，不能进行任何修饰。3′ 端也不能有形成任何二级结构可能。</p>
<p>10. 扩增产物的单链不能形成二级结构。<br />
某些引物无效的主要原因是扩增产物单链二级结构的影响，选择扩增片段时最好避开二级结构区域。用有关软件（比如RNAstructure）可以预测估计mRNA的稳定二级结构，有助于选择模板。实验表明，待扩区域自由能（△G°）小于58.6l kJ/mol时，扩增往往不能成功。若不能避开这一区域时，用7-deaza-2′-脱氧GTP取代dGTP对扩增的成功是有帮助的。</p>
<p>11. 引物应具有特异性。<br />
引物设计完成以后，应对其进行BLAST检测。如果与其它基因不具有互补性，就可以进行下一步的实验了。<br />
值得一提的是，各种模板的引物设计难度不一。有的模板本身条件比较困难，例如GC含量偏高或偏低，导致找不到各种指标都十分合适的引物；用作克隆目的的PCR，因为产物序列相对固定，引物设计的选择自由度较低。在这种情况只能退而求其次，尽量去满足条件。<br />
做Real Time时,用于SYBR Green I法时的一对引物与一般PCR的引物,在引物设计上所要求的参数是不同的。<br />
引物设计的要求：<br />
1)避免重复碱基，尤其是G.<br />
2)Tm=58-60度。<br />
3）GC=30-80%.<br />
4)3&#8242;端最后5个碱基内不能有多于2个的G或C.<br />
5)正向引物与探针离得越近越好，但不能重叠。<br />
6)PCR扩增产物长度： 引物的产物大小不要太大，一般在80-250bp之间都可；80～150 bp最为合适（可以延长至300 bp）。<br />
7)引物的退火温度要高，一般要在60度以上；<br />
要特别注意避免引物二聚体和非特异性扩增的存在。<br />
而且引物设计时应该考虑到引物要有不受基因组DNA污染影响的能力，即引物应该跨外显子，最好是引物能跨外显子的接头区，这样可以更有效的不受基因组DNA污染的影响。<br />
至于设计软件，PRIMER3,PRIMER5,PRIMER EXPRESS都应该可以的。<br />
做染料法最关键的就是寻找到合适的引物和做污染的预防工作。对于引物，你要有从一大堆引物中挑出一两个能用的引物的思想准备&#8212;寻找合适的引物非常不容易。<br />
关于BLAST的作用应该是通过比对，发现你所设计的这个引物，在已经发现并在GENEBANK中公开的不物种基因序列当中，除了和你的目标基因之外，还有没有和其他物种或其他序列当中存在相同的序列，如和你的目标序列之外的序列相同的序列，则可能扩出其他序列的产物，那么这个引物的特异性就很差，从而不能用。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>有趣的生物常识系列5</title>
		<link>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-5/</link>
		<comments>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-5/#comments</comments>
		<pubDate>Tue, 01 Nov 2011 04:00:27 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物常识]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645451</guid>
		<description><![CDATA[401、鹿有4个胃。 402、小鹿出生30分钟后就可以站立了。 403、驯养梅花鹿最主要是为了鹿茸入药。 404、驯鹿多栖息在北极地区。 405、白唇鹿是国家Ⅰ级保护动物，主要分布在青藏高原。 406、全世界现存大熊猫有1000多只。 407、大熊猫相对比较灵敏的是嗅觉。 408、刚出生的大熊猫幼仔体重为90～130克。 409、大熊猫最爱吃竹子，一天食竹量大约为20千克。 410、大熊猫的寿命大约为25～30年。 411、大熊猫生存能力较差，它的繁殖存活率为50％～70％。 412、我国境内生存有十几种猴。 413、猴的种类很多，我国特有的猴为白头叶猴。 414、金丝猴为国家Ⅰ级保护动物，分布在我国的西南地区。 415、狒狒是猴类的一种。 416、猿与猴最大的区别是猿没有尾巴。 417、眼镜猴像松鼠那么大，视力非常好。 418、一个标准的蜂巢大约可供50000个蜜蜂居住。 419、蜜蜂王国有严密的分工，其中蜂王享有特权，蜂王是雌蜂，负责产卵。 420、蜂王的食品是皇浆。 421、工蜂的螫针是它的武器，它的使用频率是一生只能使用一次。 422、昆虫大约有15万种。 423、蝴蝶是卵生的，它要经历很多变化，变化过程是：卵—幼虫—毛虫（蜕皮）—蛹—蝴蝶。 424、蜘蛛的眼睛是单眼，大多数蜘蛛长着8只眼睛，不是所有的蜘蛛都会织网。 425、大多数蜘蛛是食肉动物。 426、蝎子是蜘蛛的同类，都有4对足。 427、世界上现有鸟类9000多种。 428、鸟类是通过产卵来繁殖的，鸟的孵化时间差异很大，长的3个月，短的10天。 429、世界上最大的鸟是鸵鸟。 430、野生的鸵鸟生活在非洲。 431、鸵鸟高约1.5米。 432、世界上最小的鸟是蜂鸟。 433、喜鹊属于留鸟。 434、丹顶鹤属于侯鸟。 435、深海鱼类的特点是：身体很小，嘴巴很大。 436、自身带发光器的鱼类生活在深海海域。 437、海洋有光带的范围是0～200米。 438、海洋的弱光带的范围是200～1000米。 439、北极圈内有很多动物植物。 440、北极海豹冬季生活在冰层下面的海水里。 441、海象生活在北极。 442、海象很大，它的身长和体重可达5米，1.5吨。 443、北极比较著名的鲸有白鲸。 444、至少有10种鸟在北极圈内越冬。 445、企鹅是不会飞的海洋鸟类。 446、帝企鹅孵化的重任由帝企鹅爸爸来承担。 447、在南极附近的海域生活着很多鲸类，其中最大的是蓝鲸。 448、在南极海域生活的海豹大约3000多万头。 449、侨居南极的海鸟，体型最大的是漫游信天翁。 450、侨居南极的海鸟最小的是风暴海燕。 451、鲸是哺乳动物。 452、鲸是世界上最大的哺乳动物，它的身长达30米。 453、鲸是世界上最大的哺乳动物，它的体重可达150吨。 454、鲸是胎生的，它的怀胎期是12个月。 455、鲸的哺乳期一般为10个月。 [...]]]></description>
			<content:encoded><![CDATA[<p>401、鹿有4个胃。<br />
402、小鹿出生30分钟后就可以站立了。<br />
403、驯养梅花鹿最主要是为了鹿茸入药。<br />
404、驯鹿多栖息在北极地区。<br />
405、白唇鹿是国家Ⅰ级保护动物，主要分布在青藏高原。<br />
406、全世界现存大熊猫有1000多只。<br />
407、大熊猫相对比较灵敏的是嗅觉。<br />
408、刚出生的大熊猫幼仔体重为90～130克。<br />
409、大熊猫最爱吃竹子，一天食竹量大约为20千克。<br />
410、大熊猫的寿命大约为25～30年。<br />
411、大熊猫生存能力较差，它的繁殖存活率为50％～70％。<br />
412、我国境内生存有十几种猴。<br />
413、猴的种类很多，我国特有的猴为白头叶猴。<br />
414、金丝猴为国家Ⅰ级保护动物，分布在我国的西南地区。<br />
415、狒狒是猴类的一种。<br />
416、猿与猴最大的区别是猿没有尾巴。<br />
417、眼镜猴像松鼠那么大，视力非常好。<br />
418、一个标准的蜂巢大约可供50000个蜜蜂居住。<br />
419、蜜蜂王国有严密的分工，其中蜂王享有特权，蜂王是雌蜂，负责产卵。<br />
420、蜂王的食品是皇浆。<br />
421、工蜂的螫针是它的武器，它的使用频率是一生只能使用一次。<br />
422、昆虫大约有15万种。<br />
423、蝴蝶是卵生的，它要经历很多变化，变化过程是：卵—幼虫—毛虫（蜕皮）—蛹—蝴蝶。<br />
424、蜘蛛的眼睛是单眼，大多数蜘蛛长着8只眼睛，不是所有的蜘蛛都会织网。<br />
425、大多数蜘蛛是食肉动物。<br />
426、蝎子是蜘蛛的同类，都有4对足。<br />
427、世界上现有鸟类9000多种。<br />
428、鸟类是通过产卵来繁殖的，鸟的孵化时间差异很大，长的3个月，短的10天。<br />
429、世界上最大的鸟是鸵鸟。<br />
430、野生的鸵鸟生活在非洲。<br />
431、鸵鸟高约1.5米。<br />
432、世界上最小的鸟是蜂鸟。<br />
433、喜鹊属于留鸟。<br />
434、丹顶鹤属于侯鸟。<br />
435、深海鱼类的特点是：身体很小，嘴巴很大。<br />
436、自身带发光器的鱼类生活在深海海域。<br />
437、海洋有光带的范围是0～200米。<br />
438、海洋的弱光带的范围是200～1000米。<br />
439、北极圈内有很多动物植物。<br />
440、北极海豹冬季生活在冰层下面的海水里。<br />
441、海象生活在北极。<br />
442、海象很大，它的身长和体重可达5米，1.5吨。<br />
443、北极比较著名的鲸有白鲸。<br />
444、至少有10种鸟在北极圈内越冬。<br />
445、企鹅是不会飞的海洋鸟类。<br />
446、帝企鹅孵化的重任由帝企鹅爸爸来承担。<br />
447、在南极附近的海域生活着很多鲸类，其中最大的是蓝鲸。<br />
448、在南极海域生活的海豹大约3000多万头。<br />
449、侨居南极的海鸟，体型最大的是漫游信天翁。<br />
450、侨居南极的海鸟最小的是风暴海燕。<br />
451、鲸是哺乳动物。<br />
452、鲸是世界上最大的哺乳动物，它的身长达30米。<br />
453、鲸是世界上最大的哺乳动物，它的体重可达150吨。<br />
454、鲸是胎生的，它的怀胎期是12个月。<br />
455、鲸的哺乳期一般为10个月。<br />
456、鲸体型很大，它的胎儿期最后两个月，体重能达1吨多。<br />
457、一头须鲸一天要吃进4吨食物。<br />
458、蓝鲸非常聪明，它的智力可与黑猩猩比。<br />
459、海洋中最凶残的哺乳动物是逆戟鲸。<br />
460、脊椎动物中，鱼类最多。<br />
461、地球上最早出现的脊椎动物是鱼。<br />
462、大马哈鱼是最典型的回游性鱼类，它在海洋中生活到性成熟后，回到内陆河流产卵。<br />
463、对人类最有攻击性的鲨鱼是大白鲨。<br />
464、许多鱼类具有放电功能，魟鱼放电电压可达220伏；电鳗的放电电压可达650伏。<br />
465、放电电压最强的鱼类是电鳗。<br />
466、海洋头足类深海、近海都有，它们都长有触须，触须的个数有多有少，最多达90条。<br />
467、枪乌贼又称鱿鱼。<br />
468、海洋头足类中最杰出的“放烟幕专家”是乌贼。<br />
469、章鱼、乌贼、鹦鹉螺都属海洋头足类。<br />
470、关于对虾和蟹都是甲壳类动物，都有5对足，4对用于行动，1对用来捕食。<br />
471、寄居蟹一般寄居在螺壳内。<br />
472、水母是食肉动物。<br />
473、鲜花般的海葵属可进行有性繁殖的动物。<br />
474、珊瑚岛屿是由海洋动物——珊瑚的大量遗骨堆积而成的。<br />
475、海马是鱼。<br />
476、小海马是由雌海马先将卵排在雄海马的腹袋里，卵在腹袋里变成小海马而孵化出来的。<br />
477、生活在珊瑚礁的鱼类有个共同的特点是都有鲜艳的颜色，以使天敌不易察觉。<br />
478、爬行类动物（如蛇、蜥蜴）共同的特点是变温动物。<br />
479、爬行类动物（如蛇、蜥蜴）的生活习性是冬季大多进入冬眠。<br />
480、变色龙身体颜色变化随着环境的颜色变化而变化，随着环境的温度变化而变化。<br />
481、世界上现存的鳄不超过25种。<br />
482、鳄大部分分布在热带、亚热带。<br />
483、鳄有“活化石”之称，它的形态、结构2亿年没有什么变化。<br />
484、鳄的牙齿2年换一次。<br />
485、扬子鳄是我国国家Ⅰ级保护动物。<br />
486、娃娃鱼是低等两栖动物。<br />
487、娃娃鱼的学名叫大鲵，称娃娃鱼是因为它的叫声有点像婴儿的啼哭。<br />
488、青蛙的繁殖包括排卵后用体温进行孵化，直接孵出小青蛙和将卵排在水中，卵变成小蝌蚪，再变成青蛙等多种繁殖方式。<br />
489、蟾蜍俗称瘌蛤蟆，是青蛙的近亲，与青蛙比较，它陆栖适应性更强。<br />
490、青蛙是食肉动物。<br />
491、青蛙每天大约要吃60多只害虫，是庄稼的忠实保卫者。青蛙本身有的有毒，一只最毒的青蛙的毒液可毒死几十个人。</p>
]]></content:encoded>
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		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>只看图不说话</title>
		<link>http://www.91bio.com/show-map-do-not-speak/</link>
		<comments>http://www.91bio.com/show-map-do-not-speak/#comments</comments>
		<pubDate>Mon, 31 Oct 2011 09:17:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645464</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源!今天来个只看图，不说话！各位童鞋自己品味吧！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源!今天来个只看图，不说话！各位童鞋自己品味吧！</p>
<p><img class="aligncenter" title="23" src="http://blog.biodata.com/wp-content/uploads/2011/10/8-Ubiquitous-Lab-Characters.png" alt="" width="671" height="4523" /></p>
]]></content:encoded>
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		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>10 个iPhone/ iPad生物学应用介绍</title>
		<link>http://www.91bio.com/10-iphone-ipad-introduced-biological-applications/</link>
		<comments>http://www.91bio.com/10-iphone-ipad-introduced-biological-applications/#comments</comments>
		<pubDate>Mon, 31 Oct 2011 09:02:00 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[iPhone]]></category>
		<category><![CDATA[生物软件]]></category>
		<category><![CDATA[软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645460</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！找生物以前专注介绍安卓的生物学应用，今天也介绍下有关iPhone/iPad的生物学方面的应用！有些是免费的，其中有些也是有安卓版本的，找生物以前也做个介绍！ 1. Pubmed Library 价格：$9.99/£5.99 使用Iphone搜索、管理Pubmed文献,相关的安卓软件有PUBmed 2. Biogene 价格: 免费 输入基因序列或名称，查询相关信息，并给出相关文献的Pubmed链接. 3. Alchemia 价格： $2.99/£1.79 一款化学计算器，计算氨基酸、多肽和蛋白质的分子量等. 4. The Chemical Touch 价格: $0.99/£0.59 介绍氨基酸的详细信息，界面比较友好美观. 5. BioRad Real Time PCR 价格: 免费 BioRad公司针对Real Time PCR推出的一款应用，含有交互式问题解决方案，并有相关的公司试剂推荐. 6. Promega 价格: 免费 这个安卓有同类的应用（请移步至安卓生物学应用之Promega App），包含分子生物学计算器，生物实验技巧，操作手册以及多媒体等. 7. PCRCal 价格: $0.99/£0.59 计算PCR反应体积的简单应用，输入一次反应的体积，帮助你计算出总体积，并可以根据您的需要修正. 8. NEB Tools 价格: 免费 NEB公司出品的app, 有很多常用的网络工具，比如enzyme finder 和双酶切缓冲液选择等等. 9. Dilutions [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！找生物以前专注介绍安卓的生物学应用，今天也介绍下有关iPhone/iPad的生物学方面的应用！有些是免费的，其中有些也是有安卓版本的，找生物以前也做个介绍！</p>
<p><a href="http://itunes.apple.com/us/app/pubmed-library/id389960652?mt=8">1. Pubmed Library</a></p>
<p>价格：$9.99/£5.99</p>
<p>使用Iphone搜索、管理Pubmed文献,相关的安卓软件有<a title="安卓手机的生物学应用（一）" href="http://www.91bio.com/atradius-biological-applications-of-the-phone-a/">PUBmed</a></p>
<p><a href="http://cbio.mskcc.org/tools/iphone_ipodtouch.html">2. Biogene</a></p>
<p>价格: 免费</p>
<p>输入基因序列或名称，查询相关信息，并给出相关文献的Pubmed链接.</p>
<p><a href="http://itunes.apple.com/us/app/alchemia/id333251828?mt=8#">3. Alchemia</a></p>
<p>价格： $2.99/£1.79</p>
<p>一款化学计算器，计算氨基酸、多肽和蛋白质的分子量等.</p>
<p><a href="http://itunes.apple.com/app/the-chemical-touch/id288060442?mt=8#">4. The Chemical Touch</a></p>
<p>价格: $0.99/£0.59</p>
<p>介绍氨基酸的详细信息，界面比较友好美观.</p>
<p><a href="http://itunes.apple.com/us/app/bio-rad-real-time-pcr-iphone/id333241570?mt=8">5. BioRad Real Time PCR</a></p>
<p>价格: 免费</p>
<p>BioRad公司针对Real Time PCR推出的一款应用，含有交互式问题解决方案，并有相关的公司试剂推荐.</p>
<p><a href="http://itunes.apple.com/app/promega/id307546949?mt=8">6. Promega</a></p>
<p>价格: 免费</p>
<p>这个安卓有同类的应用（请移步<a title="安卓生物学应用之Promega App" href="http://www.91bio.com/promega-app/">至</a><a title="安卓生物学应用之Promega App" href="http://www.91bio.com/promega-app/">安卓生物学应用之Promega App</a>），包含分子生物学计算器，生物实验技巧，操作手册以及多媒体等.</p>
<p><a href="http://itunes.apple.com/br/app/pcrcal/id342101378?mt=8">7. PCRCal</a></p>
<p>价格: $0.99/£0.59</p>
<p>计算PCR反应体积的简单应用，输入一次反应的体积，帮助你计算出总体积，并可以根据您的需要修正.</p>
<p><a href="http://itunes.apple.com/us/app/neb-tools/id350346827?mt=8">8. NEB Tools</a></p>
<p>价格: 免费</p>
<p>NEB公司出品的app, 有很多常用的网络工具，比如enzyme finder 和双酶切缓冲液选择等等.</p>
<p><img class="aligncenter" title="12" src="http://bitesizebio.s3.amazonaws.com/content/uploads/2010/10/neb-enzyme-finder.jpg" alt="" width="600" height="250" /></p>
<p><a href="http://itunes.apple.com/us/app/dilutions/id338573452?mt=8#">9. Dilutions</a></p>
<p>价格: $0.99/£0.59</p>
<p>计算系列稀释，配制SDS-PAGE胶以及分子量计算，配制溶液计算等等.</p>
<p><a href="http://itunes.apple.com/us/app/oligo-dilution-calculator/id383099534?mt=8">10. Eurofins MWG Oligo Dilution Calculator</a></p>
<p>价格: 免费</p>
<p>另外一款oligo计算器，您懂的。</p>
]]></content:encoded>
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		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>有趣的生物常识系列3</title>
		<link>http://www.91bio.com/interesting-biological-knowledge-series-3/</link>
		<comments>http://www.91bio.com/interesting-biological-knowledge-series-3/#comments</comments>
		<pubDate>Mon, 31 Oct 2011 04:29:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物常识]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645447</guid>
		<description><![CDATA[201、哺乳动物在新生代开始统治地球。 202、灵长类的祖先是原始的树鼩。 203、100多年前，生物学家达尔文曾到科隆群岛考察生物。 204、加拉帕戈斯群岛上生活的一种巨大动物是象龟。 205、澳大利亚特有的仅小于鸵鸟的大型鸟类是鸸鹋。 206、澳大利亚的两种代表性动物是袋鼠和鸸鹋。 207、澳大利亚的考拉是袋熊。 208、鸭嘴兽在动物分类上属于哺乳类。 209、生物的一切生命活动都是由细胞来完成的。 210、生物的生命体中最大的细胞可长达1米。 211、生物的生命体中，最大的细胞是神经细胞。 212、细胞膜的主要组成物质是磷脂分子。 213、细胞里面的囊泡是一个储存室，能储存脂肪。 214、细胞里线粒体的主要功能是为细胞活动提供能量物质。 215、叶绿体在植物细胞中主要通过光合作用为植物体制造有机物而起作用。 216、植物细胞与动物细胞的最大不同是植物细胞有细胞壁、液泡和叶绿体。 217、载有生物遗传信息的染色体位于细胞核内。 218、生物的一切性状、变异和生理功能，都是由基因决定的。 219、生命的遗传基因排列在DNA双螺旋链上。 220、DNA双螺旋结构的建立者是沃森和克里克。 221、生命信息的遗传是通过DNA自我复制完成的。 222、DNA螺旋链上的碱基配对规则是A找T、G找C。 223、蛋白质是生命活动中起重要作用的大分子，它的基本组成物是氨基酸。 224、20种氨基酸按一定顺序排列组成了蛋白质。 225、合成蛋白质的20种氨基酸是由遗传密码决定的。 226、基因操作时切基因的工具是生物大分子——限制性内切酶。 227、在进行基因操作时，用来运送基因的工具是微生物体内的环状DNA。 228、用基因枪可以将外源基因转移到生物体的细胞核内，基因枪所用的子弹是包裹基因的塑料丸。 229、要想绘制基因图谱，最重要的是测定出基因在染色体上的特定位置。 230、克隆一词是英语“clone”的音译，它的本意是生物体的无性繁殖。 231、将一个细胞进行培养，形成许多相同的细胞，这个过程叫做克隆。 232、克隆羊多利是1996年7月诞生的。 233、克隆羊多利的诞生有三位羊妈妈的功劳。 234、克隆羊多利的遗传特征与它的提供未受精细胞的妈妈一致。 235、克隆羊多利是世界上第一只由成年羊体细胞培育出的哺乳动物。 236、我国科学家想出了一种克隆大熊猫的方法，这种方法是将大熊猫的体细胞核置入兔子的去核卵细胞中。 237、 细胞中带有其他生物基因的植物称作转基因植物。 238、一种生物的基因在另一种生物体中也可以正确地表达出来。 239、噬菌体是一种专吃细菌的病毒。 240、萤火虫能发光的原因是它体内有荧光素酶基因。 241、把萤火虫的荧光素酶基因转入植物体内，这样使植物也能发出荧光。 242、将抗虫外源基因转入植物体内，植物就具有了抗虫能力，这是因为抗虫基因能使农作物体内合成杀虫的蛋白质。 243、科学家们为了让植物耐寒，给植物体转入了耐寒鱼的抗冻基因。 244、生物体的单个细胞在合适的条件下可以独立发育成完整的生物体。 245、植物叶子的细胞内有长根的基因，只是沉睡着没有发挥作用。 246、进行植物组织培养时，一般使用植物的叶子或茎尖。 247、植物的单个细胞内包含着上一代的全部遗传信息。 248、茎上结番茄，根部结马铃薯的植物是将番茄细胞和马铃薯细胞融合培育成的。 249、人造种子是用植物的一小片茎叶培育成许多的胚状体，再包上人工种皮制成。 250、地球上现存的植物种类有40多万种。 251、植物由低级到高级排列正确的是蓝藻—裸藻—红藻—轮藻。 252、植物由低级到高级排列正确的是细菌—真菌—蕨。 253、海带属于藻类植物。 254、藻类是低等植物的一个大类，它大约有2.5万种。 255、藻类光合作用产生氧气。 [...]]]></description>
			<content:encoded><![CDATA[<p>201、哺乳动物在新生代开始统治地球。<br />
202、灵长类的祖先是原始的树鼩。<br />
203、100多年前，生物学家达尔文曾到科隆群岛考察生物。<br />
204、加拉帕戈斯群岛上生活的一种巨大动物是象龟。<br />
205、澳大利亚特有的仅小于鸵鸟的大型鸟类是鸸鹋。<br />
206、澳大利亚的两种代表性动物是袋鼠和鸸鹋。<br />
207、澳大利亚的考拉是袋熊。<br />
208、鸭嘴兽在动物分类上属于哺乳类。<br />
209、生物的一切生命活动都是由细胞来完成的。<br />
210、生物的生命体中最大的细胞可长达1米。<br />
211、生物的生命体中，最大的细胞是神经细胞。<br />
212、细胞膜的主要组成物质是磷脂分子。<br />
213、细胞里面的囊泡是一个储存室，能储存脂肪。<br />
214、细胞里线粒体的主要功能是为细胞活动提供能量物质。<br />
215、叶绿体在植物细胞中主要通过光合作用为植物体制造有机物而起作用。<br />
216、植物细胞与动物细胞的最大不同是植物细胞有细胞壁、液泡和叶绿体。<br />
217、载有生物遗传信息的染色体位于细胞核内。<br />
218、生物的一切性状、变异和生理功能，都是由基因决定的。<br />
219、生命的遗传基因排列在DNA双螺旋链上。<br />
220、DNA双螺旋结构的建立者是沃森和克里克。<br />
221、生命信息的遗传是通过DNA自我复制完成的。<br />
222、DNA螺旋链上的碱基配对规则是A找T、G找C。<br />
223、蛋白质是生命活动中起重要作用的大分子，它的基本组成物是氨基酸。<br />
224、20种氨基酸按一定顺序排列组成了蛋白质。<br />
225、合成蛋白质的20种氨基酸是由遗传密码决定的。<br />
226、基因操作时切基因的工具是生物大分子——限制性内切酶。<br />
227、在进行基因操作时，用来运送基因的工具是微生物体内的环状DNA。<br />
228、用基因枪可以将外源基因转移到生物体的细胞核内，基因枪所用的子弹是包裹基因的塑料丸。<br />
229、要想绘制基因图谱，最重要的是测定出基因在染色体上的特定位置。<br />
230、克隆一词是英语“clone”的音译，它的本意是生物体的无性繁殖。<br />
231、将一个细胞进行培养，形成许多相同的细胞，这个过程叫做克隆。<br />
232、克隆羊多利是1996年7月诞生的。<br />
233、克隆羊多利的诞生有三位羊妈妈的功劳。<br />
234、克隆羊多利的遗传特征与它的提供未受精细胞的妈妈一致。<br />
235、克隆羊多利是世界上第一只由成年羊体细胞培育出的哺乳动物。<br />
236、我国科学家想出了一种克隆大熊猫的方法，这种方法是将大熊猫的体细胞核置入兔子的去核卵细胞中。<br />
237、 细胞中带有其他生物基因的植物称作转基因植物。<br />
238、一种生物的基因在另一种生物体中也可以正确地表达出来。<br />
239、噬菌体是一种专吃细菌的病毒。<br />
240、萤火虫能发光的原因是它体内有荧光素酶基因。<br />
241、把萤火虫的荧光素酶基因转入植物体内，这样使植物也能发出荧光。<br />
242、将抗虫外源基因转入植物体内，植物就具有了抗虫能力，这是因为抗虫基因能使农作物体内合成杀虫的蛋白质。<br />
243、科学家们为了让植物耐寒，给植物体转入了耐寒鱼的抗冻基因。<br />
244、生物体的单个细胞在合适的条件下可以独立发育成完整的生物体。<br />
245、植物叶子的细胞内有长根的基因，只是沉睡着没有发挥作用。<br />
246、进行植物组织培养时，一般使用植物的叶子或茎尖。<br />
247、植物的单个细胞内包含着上一代的全部遗传信息。<br />
248、茎上结番茄，根部结马铃薯的植物是将番茄细胞和马铃薯细胞融合培育成的。<br />
249、人造种子是用植物的一小片茎叶培育成许多的胚状体，再包上人工种皮制成。<br />
250、地球上现存的植物种类有40多万种。<br />
251、植物由低级到高级排列正确的是蓝藻—裸藻—红藻—轮藻。<br />
252、植物由低级到高级排列正确的是细菌—真菌—蕨。<br />
253、海带属于藻类植物。<br />
254、藻类是低等植物的一个大类，它大约有2.5万种。<br />
255、藻类光合作用产生氧气。<br />
256、低等植物的特点是没有根、茎、叶的分化。<br />
257、蘑菇、木耳、灵芝、冬虫夏草都属于菌类。<br />
258、菌类从其他生物体中摄取养分。<br />
259、地衣是真菌和藻类共生在一起的有机体。<br />
260、地衣能溶解岩石而形成土壤。<br />
261、苔藓是高等植物。<br />
262、在一些阴暗潮湿的地方，常常看到一片片绿苔，它是蓝藻。<br />
263、蕨类植物约有1.2万种。<br />
264、蕨类植物的繁殖方式靠孢子繁殖。<br />
265、松树叶子的寿命为4～5年。<br />
266、松树耐高温耐严寒，它的耐温范围为－60～50℃。<br />
267、杉树与松树的共同特点，同是雌雄同株。<br />
268、银杏为裸子植物中惟一的落叶阔叶乔木，雌雄异株。<br />
269、苏铁又称铁树，它的茎干中含有丰富的淀粉。<br />
270、被子植物有20多万种。<br />
271、被子植物又称为显花植物。<br />
272、被子植物负责运输水分、养分的是茎。<br />
273、被子植物负责进行光合作用、制造营养物质的器官是叶。<br />
274、被子植物的花粉落在雌蕊上形成花粉管，并产生2个精子。<br />
275、美丽的花朵是被子植物的生殖器官。<br />
276、花中有雄蕊和雌蕊，其中不属于雄蕊的是花柱。<br />
277、花中有雄蕊和雌蕊，其中不属于雌蕊的是花药。<br />
278、花的香味一般是由花的花瓣发出的。<br />
279、美丽的牡丹花属于单生花。<br />
280、被子植物传粉受精后，雌蕊不会枯萎脱落。<br />
281、果实千差万别，一般根据果皮的特点来分类，不属于核果的是板栗。<br />
282、苹果是被子植物的果实，它属于梨果。<br />
283、菠萝是被子植物的果实，它属于聚花果。<br />
284、谷子的谷穗是颖果。<br />
285、 橘子是被子植物的果实，它属于柑果。<br />
286、仙人掌细小的针就是叶子。<br />
287、我们能看得见的叶子上的纹路叫叶脉。<br />
288、根据植物的茎，分为乔木、灌木、藤本植物等。<br />
289、马铃薯的果实是它的茎。<br />
290、椰树的果实一年四季不断。<br />
291、银杉曾经被认为已经灭绝，1955年在我国境内发现了。<br />
292、银杉有“活化石”之称，目前世界上只有我国西南及湖南有。<br />
293、雪松有很高的观赏价值，它在世界广为栽培。<br />
294、望天树身高七八十米。<br />
295、望天树被列为我国珍稀濒危保护植物，最主要的原因是它的果实寿命很短，自然繁殖困难。<br />
296、胡杨被称为“荒漠勇士”，它在荒漠中能生长1000年。<br />
297、胡杨被称为“荒漠勇士”， 它死后还能站立在荒漠中1000年。<br />
298、独树成林、绞杀植物、有庞大的地面根的树是榕树。<br />
299、植物也有胎生的，所谓胎生，是指在树上种子就萌发，长出胚根与胚芽，落地便生根。<br />
300、肉苁蓉是典型的沙漠寄生植物。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>有趣的生物常识系列2</title>
		<link>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-2/</link>
		<comments>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-2/#comments</comments>
		<pubDate>Sun, 30 Oct 2011 02:39:54 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物常识]]></category>

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		<description><![CDATA[找生物-分享有趣、实用的生物资源！最近上网不太方便，转载一些文章，一些生物小常识，这些嫩不一定都指导哦，增长些小资本吧，为以后教育孩子也好啊！ 101、当人处于紧张状态的时候，实际上是肾上腺在发挥作用。 102、人的脊柱骨包括4个生理弯曲，成“S”形。 103、地球上最早出现的绿色植物是蓝藻。 104、微量元素锌有“生命的火花”之称，缺少它会影响儿童的智力。 105、世界上游动速度最快的鱼是箭鱼。 106、北极熊又叫白熊。 107、世界上最小的种子是天鹅绒兰的种子。 108、世界上最大的种子是复椰子树的种子。 109、世界上最大的树是北美洲的“世界爷”。 120、世界上最高的树是澳洲的桉树。 121、世界上最长的植物是热带雨林里的一种攀援植物—藤蔓。 122、世界上最大的花是苏门答腊热带森林里的一种寄生植物—大王花。 123、世界上最小的花是一种浮在水面的水生浮萍科植物—无根萍。 124、珊瑚是动物，因为它不能吸收无机动物。 125、动物门类主要有：原生动物、海绵动物、腔肠动物、扁形动物、线形动物、环节动物、软体动物、节肢动物、棘皮动物、脊椎动物等。 126、三叶虫是最早称霸地球的动物，最早出现于距今约6亿年前的寒武纪。 127、蜈蚣俗称“百脚”，是多足类节肢动物，它22对脚，剔除1对毒牙和1对毒爪，其实只有40只步足。 128、许多动物都冬眠，只有海参是夏眠动物。 129、苍蝇、蚊子飞过的时候，听到一阵嗡嗡的声音，并不是它们会叫，而是其飞行的速度在20-20000次/秒之间，人们可以听到空气的振动声。 130、推测鱼的年龄，主要是看鱼鳞，根据年轮的多少来推测。一年四季中，鱼的生长速度不同，第一年生长带和第二年生长带的分界线叫“年轮”。年轮越多，鱼的年龄越大。 131、青蛙是两栖动物，鱼却是两栖动物的祖先。4亿年前的“总鳍鱼”逐渐演变成陆上的四足动物。 132、飞得最高的鸟是兀鹫，还有山鸦、岩鸽。 133、飞得最快的鸟是北京的雨燕。 134、不会飞的鸟是来自非洲或南美洲等地的鸵鸟。 135、自己不筑巢、不育雏，而把蛋产在别的鸟巢中，让别的鸟代孵、代育的鸟是杜鹃。 136、“胎生”是指直接产下幼仔。如：哺乳动物。 137、“卵生”是指先下蛋再孵出幼仔来。如：爬行动物、鸟类。 138、白兔的眼球的无色的，兔眼的红色是眼球的血液反映出来的颜色。 139、跑得最快的动物是猎豹。 140、寿命最长的哺乳动物是象。 141、最大的动物是剃刀鲸。 142、“美人鱼”是指海牛。 143、“麒麟”是指长颈鹿。 144、“四不像”学名麋鹿，指角似鹿非鹿，头似马非马，身似驴非驴，蹄似牛非牛。 145、“六不象”就是生活在我国四川、甘肃等地的羚牛。 146、能净化污水的动物是轮虫。 147、南极磷虾是迄今为止含蛋白质最高的生物。 148、苍蝇有六只脚。 149、如同白蚁不是蚂蚁一样，红蜘蛛不是蜘蛛。 150、文昌鱼不是真正的鱼。 151、美洲狮不是真正的狮子，它是猫属，又称“山猫”。 152、猫为了提高夜间视力，必须补充牛黄酸，而鱼和老鼠体内含有大量的牛黄酸，故猫喜欢吃鱼和老鼠。 153、鳍足动物包括海狮、海豹、海狗、海象，它们是动物里第一流的潜水员。 154、能预知风暴的动物是水母。 155、植物细胞与动物细胞的区别：植物细胞有细胞壁、液泡和叶绿体；动物细胞没有细胞壁、叶绿体，液泡表现也不明显。 156、植物分为15门，其中：低等植物12门，包括绿藻门、裸藻门、轮藻门、金藻门、甲藻门、褐藻门、红藻门、蓝藻门、细菌门、粘菌门、真菌门、地衣门；高等植物3门，包括苔藓植物门、蕨类植物门、种子植物门。 157、种子植物的五大名科指菊科、兰科、豆科、禾本科和蔷薇科。 158、植物的“学名”是植物“科学的名称”的简称。它是按照国际命名法规，由植物的属名、种名和命名人姓名组成的，用拉丁文写成的，给某种植物所订的名称。 159、冬虫夏草（也叫虫草），它冬天是虫，夏天却是草。它外壳是一条虫，里面是真菌，实际上是一种植物。 160、世界上五大庭园树木指：金钱松（中国）；雪松（中国）；世界爷（美国）；日本金松（日本）；南洋松（澳洲）。 161、基因分为两类：一类是结构基因；另一类是控制基因。 162、鞭毛藻类生物既是植物，又是动物。 163、“五谷”：稻、麦、黍、稷、菽。 164、农作物可分为两类： [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！最近上网不太方便，转载一些文章，一些生物小常识，这些嫩不一定都指导哦，增长些小资本吧，为以后教育孩子也好啊！</p>
<p>101、当人处于紧张状态的时候，实际上是肾上腺在发挥作用。<br />
102、人的脊柱骨包括4个生理弯曲，成“S”形。<br />
103、地球上最早出现的绿色植物是蓝藻。<br />
104、微量元素锌有“生命的火花”之称，缺少它会影响儿童的智力。<br />
105、世界上游动速度最快的鱼是箭鱼。<br />
106、北极熊又叫白熊。<br />
107、世界上最小的种子是天鹅绒兰的种子。<br />
108、世界上最大的种子是复椰子树的种子。<br />
109、世界上最大的树是北美洲的“世界爷”。<br />
120、世界上最高的树是澳洲的桉树。<br />
121、世界上最长的植物是热带雨林里的一种攀援植物—藤蔓。<br />
122、世界上最大的花是苏门答腊热带森林里的一种寄生植物—大王花。<br />
123、世界上最小的花是一种浮在水面的水生浮萍科植物—无根萍。<br />
124、珊瑚是动物，因为它不能吸收无机动物。<br />
125、动物门类主要有：原生动物、海绵动物、腔肠动物、扁形动物、线形动物、环节动物、软体动物、节肢动物、棘皮动物、脊椎动物等。<br />
126、三叶虫是最早称霸地球的动物，最早出现于距今约6亿年前的寒武纪。<br />
127、蜈蚣俗称“百脚”，是多足类节肢动物，它22对脚，剔除1对毒牙和1对毒爪，其实只有40只步足。<br />
128、许多动物都冬眠，只有海参是夏眠动物。<br />
129、苍蝇、蚊子飞过的时候，听到一阵嗡嗡的声音，并不是它们会叫，而是其飞行的速度在20-20000次/秒之间，人们可以听到空气的振动声。<br />
130、推测鱼的年龄，主要是看鱼鳞，根据年轮的多少来推测。一年四季中，鱼的生长速度不同，第一年生长带和第二年生长带的分界线叫“年轮”。年轮越多，鱼的年龄越大。<br />
131、青蛙是两栖动物，鱼却是两栖动物的祖先。4亿年前的“总鳍鱼”逐渐演变成陆上的四足动物。<br />
132、飞得最高的鸟是兀鹫，还有山鸦、岩鸽。<br />
133、飞得最快的鸟是北京的雨燕。<br />
134、不会飞的鸟是来自非洲或南美洲等地的鸵鸟。<br />
135、自己不筑巢、不育雏，而把蛋产在别的鸟巢中，让别的鸟代孵、代育的鸟是杜鹃。<br />
136、“胎生”是指直接产下幼仔。如：哺乳动物。<br />
137、“卵生”是指先下蛋再孵出幼仔来。如：爬行动物、鸟类。<br />
138、白兔的眼球的无色的，兔眼的红色是眼球的血液反映出来的颜色。<br />
139、跑得最快的动物是猎豹。<br />
140、寿命最长的哺乳动物是象。<br />
141、最大的动物是剃刀鲸。<br />
142、“美人鱼”是指海牛。<br />
143、“麒麟”是指长颈鹿。<br />
144、“四不像”学名麋鹿，指角似鹿非鹿，头似马非马，身似驴非驴，蹄似牛非牛。<br />
145、“六不象”就是生活在我国四川、甘肃等地的羚牛。<br />
146、能净化污水的动物是轮虫。<br />
147、南极磷虾是迄今为止含蛋白质最高的生物。<br />
148、苍蝇有六只脚。<br />
149、如同白蚁不是蚂蚁一样，红蜘蛛不是蜘蛛。<br />
150、文昌鱼不是真正的鱼。<br />
151、美洲狮不是真正的狮子，它是猫属，又称“山猫”。<br />
152、猫为了提高夜间视力，必须补充牛黄酸，而鱼和老鼠体内含有大量的牛黄酸，故猫喜欢吃鱼和老鼠。<br />
153、鳍足动物包括海狮、海豹、海狗、海象，它们是动物里第一流的潜水员。<br />
154、能预知风暴的动物是水母。<br />
155、植物细胞与动物细胞的区别：植物细胞有细胞壁、液泡和叶绿体；动物细胞没有细胞壁、叶绿体，液泡表现也不明显。<br />
156、植物分为15门，其中：低等植物12门，包括绿藻门、裸藻门、轮藻门、金藻门、甲藻门、褐藻门、红藻门、蓝藻门、细菌门、粘菌门、真菌门、地衣门；高等植物3门，包括苔藓植物门、蕨类植物门、种子植物门。<br />
157、种子植物的五大名科指菊科、兰科、豆科、禾本科和蔷薇科。<br />
158、植物的“学名”是植物“科学的名称”的简称。它是按照国际命名法规，由植物的属名、种名和命名人姓名组成的，用拉丁文写成的，给某种植物所订的名称。<br />
159、冬虫夏草（也叫虫草），它冬天是虫，夏天却是草。它外壳是一条虫，里面是真菌，实际上是一种植物。<br />
160、世界上五大庭园树木指：金钱松（中国）；雪松（中国）；世界爷（美国）；日本金松（日本）；南洋松（澳洲）。<br />
161、基因分为两类：一类是结构基因；另一类是控制基因。<br />
162、鞭毛藻类生物既是植物，又是动物。<br />
163、“五谷”：稻、麦、黍、稷、菽。<br />
164、农作物可分为两类：<br />
⑴草本庄稼。水稻、小麦、高粱等；<br />
⑵木本庄稼。如栗、枣、柿等，它们又被称为“铁杆庄稼”。<br />
165、佛手瓜是“胎生植物”。<br />
166、在竹片上刻字为书，称为“竹简”。<br />
167、兰花，被称为“天下第一香”。<br />
168、楠木，被称为“天下名木”。<br />
169、云南，被称为“植物王国”、“植物宝库”。<br />
170、长白山，被称为“空中花园”。<br />
171、有花植物有五大器官：根、茎、叶、花、果实。<br />
172、 冰箱食品变质的主要原因是细菌作用。大多数细菌属于中温菌，其在10℃以下生长缓慢，4.5℃以下停止繁殖；而附在鱼体面上的与鱼体腐败有关的水中细菌属 低温菌，其在0℃以下繁殖缓慢，－10℃以下停止繁殖。但无论怎样也不能杀菌，即使－18℃以下，大部分细菌也不会死亡，一旦温度上升又会繁殖起来。<br />
173、榕树又称细叶榕，是一种常绿的大乔木，高20米以上，习见于我国南方两广、福建、台湾、云贵等地。榕树最明显的标志是从树枝上长出许多气生根，它们有的悬吊在半空，有的直垂地面或插入地面。榕树占地面积较大，故有“独木成林”之说法。<br />
174、 左右脑功能。人脑分为左右两半球，左半球控制右半身的活动，它是处理言语、进行抽象思维、分析思维的中枢，主管人的说话、阅读、书写等，具有连续性；右半 球控制左半身的活动，它是处理表象、进行具体思维、直觉思维的中枢，主管人的视觉、想象、做梦、音乐、舞蹈等，具有不连续性。<br />
175、古巴的蜂鸟堪称世界上最小的鸟，其全身重量只有2克左右。<br />
176、四川盆地被誉为“恐龙之乡”。<br />
177、生物进化论是由达尔文于1859年11月24日在其巨著《物种起源》一书中提出的。12年后，达尔文又发表了《人类的起源》一书，对人类的起源作了进一步的探讨。<br />
178、中山植物园创立于1929年，是我国第一座国立植物园。<br />
179、原产于国外的蔬菜：<br />
（1）番茄：原产南美洲的秘鲁，当地称“狼桃”，18世纪末通过“丝绸之路”传入我国。<br />
（2）辣椒：原产南美洲，最初叫“番椒”，明朝时传入我国。<br />
（3）西瓜：原产非洲南部，五代时由胡峤从西亚的回纥引入我国。<br />
（4）萝卜：原产北欧，元代时由波斯人传入我国云南。<br />
（5）黄瓜：原产印度，西汉时由张骞传入我国。初称“胡瓜”，东晋时赵王石勒改名为黄瓜。<br />
（6）菠菜：原产波斯，西汉时由张骞传入我国。当时称“菠陵”、“颇陵”，后改为现称。<br />
（7）芫荽：又称“香菜”，原产地中海沿岸，汉代时通过“丝绸之路”传入我国。<br />
（8）莴苣：又称“莴笋”， 原产地中海沿岸，唐朝时传入我国。<br />
（9）茄子：原产印度、泰国等地，晋代传入我国。<br />
（10）南瓜：原产非洲，又称“番瓜”，由波斯人传入我国南方。<br />
（11）番薯：原产南美洲的墨西哥、哥伦比亚一带，明代万历21年，由晋安人陈振龙从菲律宾传入我国。后来有人称其为红薯、红苕、山芋、地瓜等。<br />
（12）马铃薯：原产南美洲，清朝初由南洋群岛传入我国。后来有人称其为土豆、洋芋、地蛋等。<br />
180、袋鼠生活只在澳大利亚的草原上。<br />
181、陆地上最大的动物是大象。<br />
182、传说中的美人鱼是人们根据动物儒艮想象出来的。<br />
183、骆驼被誉为沙漠之舟。<br />
184、针尾雨燕又称“山燕子”，是飞行速度最快的鸟。<br />
185、“四大家鱼”：青鱼、草鱼、鲢鱼、鳙鱼。<br />
186、“蜂鸟”是最小的鸟。<br />
187、节肢动物有四个纲：昆虫纲、甲壳纲、蛛形纲、多足纲。<br />
188、最大的哺乳动物：蓝鲸。<br />
189、最大的陆生哺乳动物：非洲象。<br />
190、最高的哺乳动物：长颈鹿。<br />
191、跑得最快的哺乳动物：猎豹。<br />
192、“玄武”是龟与蛇的组合体。<br />
193、世界是最毒的树是“见血封喉”（又名箭毒木）。<br />
194、维生素A又叫维生素甲、视黄醇。<br />
195、人体共有639块骨骼肌。<br />
196、双眼皮属于显性遗传。原始生命出现在38亿-35亿年前。<br />
197、两栖动物是由鱼类进化而来的。<br />
198、陆地上第一位真正的主人是爬行动物。<br />
199、 鱼石螈是由总鳍鱼发展而来的。<br />
200、人类的历史大约有400万年。</p>
]]></content:encoded>
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		<title>小技巧之如何把SDS-PAGE胶转移到两块膜上</title>
		<link>http://www.91bio.com/tips-of-how-to-sds-page-gel-transferred-to-the-two-membrane/</link>
		<comments>http://www.91bio.com/tips-of-how-to-sds-page-gel-transferred-to-the-two-membrane/#comments</comments>
		<pubDate>Fri, 28 Oct 2011 08:59:55 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[SDS-PAGE]]></category>
		<category><![CDATA[WB]]></category>
		<category><![CDATA[实验技巧]]></category>

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		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 您是否曾希望同一块SDS-PAGE胶能够转移两次？（找生物承认有过）如果能有实现多次转移是件挺幸福的事情，下面这个小技巧就可以实现，怀着期待的心情我们共同来学习下吧： 找一块玻璃板，或者其他的比较平而坚硬的板； 把下列物品按顺利依次放置在玻璃板上，并确保平放，赶走气泡： 3块blotting paper (例如 Whatman 3MM) ，预先用PBS溶液浸润； 预先浸润的膜 （仅试过硝酸纤维膜，PVDF膜效果更佳）； 胶. 另外一块预先浸润的膜； 至少三块用PBS溶液预先浸润的blotting paper. 再在上面加一块玻璃板； 紧紧包紧以上三明治物品； 在上面放一个比较重的物品 (例如装满缓冲液的1L瓶) ； 然后就可以等待过夜，或者过一个愉快的周末了. 图示 蛋白转移采用自行扩散的方法比采用电转移要慢很多，但是如果有足够长的时间，其转移效率也是非常惊人的！但是，有一点缺陷是对于大分子量的蛋白部推荐采用此方法，同时，还有一点需要注意，转移到两块膜上的量的总和是转移到一块膜上的量（O(∩_∩)O~）。 有兴趣的童鞋可以试试这个方法，看来没有多少技术含量的工作，有时候也能给你打来惊喜哦，也可以到找生物博客或者微博上与大伙分享交流。 找生物翻译！原文链接：http://bitesizebio.com/articles/how-to-transfer-one-sds-page-gel-onto-two-membranes/]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>您是否曾希望同一块SDS-PAGE胶能够转移两次？（找生物承认有过）如果能有实现多次转移是件挺幸福的事情，下面这个小技巧就可以实现，怀着期待的心情我们共同来学习下吧：</p>
<ul type="disc">
<li>找一块玻璃板，或者其他的比较平而坚硬的板；</li>
</ul>
<ul type="disc">
<li>把下列物品按顺利依次放置在玻璃板上，并确保平放，赶走气泡：</li>
</ul>
<ul type="circle">
<li>3块blotting paper (例如 Whatman 3MM) ，预先用PBS溶液浸润；</li>
<li>预先浸润的膜 （仅试过硝酸纤维膜，PVDF膜效果更佳）；</li>
<li>胶.</li>
<li>另外一块预先浸润的膜；</li>
<li>至少三块用PBS溶液预先浸润的blotting paper.</li>
</ul>
<ul type="disc">
<li>再在上面加一块玻璃板；</li>
</ul>
<ul type="disc">
<li>紧紧包紧以上三明治物品；</li>
<li>在上面放一个比较重的物品 (例如装满缓冲液的1L瓶) ；</li>
</ul>
<ul type="disc">
<li>然后就可以等待过夜，或者过一个愉快的周末了.</li>
</ul>
<p><a href="http://bitesizebio.com/articles/how-to-transfer-one-sds-page-gel-onto-two-membranes/diffusion_transfer1/"><img src="http://bitesizebio.s3.amazonaws.com/content/uploads/2011/10/Diffusion_Transfer11.png" alt="" width="0" height="0" /></a><img class="aligncenter" title="wq" src="http://bitesizebio.s3.amazonaws.com/content/uploads/2011/10/Diffusion_Transfer11.png" alt="" width="300" height="255" /></p>
<p>图示</p>
<p>蛋白转移采用自行扩散的方法比采用电转移要慢很多，但是如果有足够长的时间，其转移效率也是非常惊人的！但是，有一点缺陷是对于大分子量的蛋白部推荐采用此方法，同时，还有一点需要注意，转移到两块膜上的量的总和是转移到一块膜上的量（O(∩_∩)O~）。</p>
<p>有兴趣的童鞋可以试试这个方法，看来没有多少技术含量的工作，有时候也能给你打来惊喜哦，也可以到找生物博客或者微博上与大伙分享交流。</p>
<p>找生物翻译！原文链接：<a href="http://bitesizebio.com/articles/how-to-transfer-one-sds-page-gel-onto-two-membranes/">http://bitesizebio.com/articles/how-to-transfer-one-sds-page-gel-onto-two-membranes/</a></p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>有趣的生物常识系列4</title>
		<link>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-4/</link>
		<comments>http://www.91bio.com/interestingly-the-biological-knowledge-of-series-4/#comments</comments>
		<pubDate>Fri, 28 Oct 2011 03:59:44 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物常识]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645449</guid>
		<description><![CDATA[301、千岁兰有很奇妙的特性，它只有两片叶子，而且终生不凋落，它的寿命有的达到了2000年。 302、寄生植物自身无法制造养分，靠寄主；附生植物自身可能制造养分。 303、小麦是最重要的粮食作物，它的栽培历史有1.5万年。 304、全世界小麦品种约有上万种。 305、我国科学家袁隆平培育的杂交水稻亩产450多千克。 306、谷子去皮后为称小米。 307、玉蜀黍学名是玉米。 308、蜀黍的学名是高粱。 309、胡椒是木质藤本植物。 310、大茴香和大料是“八角”别称。 311、我们平时吃的“香油”（麻油）来自于芝麻。 312、茶树种植3年后可以采叶子。 313、巧克力的原料是可可。 314、芹菜的药用价值是降低血压。 315、生菜与莴苣是近亲。 316、莴苣的药用价值是清热化痰。 317、姜是做菜时的配料，也是中药，它的药用价值是发表、驱寒。 318、莲藕中富含维生素C。 319、昆仑瓜是茄子的别称。 320、多吃芋艿有保护牙齿的作用。 321、南瓜和胡罗卜的共同之处是都富含胡罗卜素。 322、毛豆与大豆的区别：毛豆充分成熟干化后就是大豆。 323、辣椒、番茄、茄子都属于茄科。 324、大白菜、圆白菜、花椰菜都属于一个科。 325、有清暑、明目作用的蔬菜是苦瓜。 326、之所以食用菜豆时一定要煮熟，是因为生的菜豆中含有一种人吃了会中毒的皂素。 327、西瓜、哈密瓜、冬瓜都属于葫芦科。 328、荔枝与龙眼均属于无患子科，龙眼有药用价值。 329、菠萝和波罗蜜的果实都为聚花果。 330、柚子在我国长江以南种植。 331、在开花期“香飘十里”的花是桂花。 332、被誉为“花中之王”的花是牡丹。 333、鸡蛋花之所以得名是因为它内黄如蛋黄，外乳白如蛋白，因而得名。 334、古希腊、古罗马人把睡莲尊为女神。 335、扶桑是著名的观赏花木，它四季开花。 336、有些动物会冬眠，而有一种花春季开花，夏季休眠，它是马蹄莲。 337、万带兰生长在热带，如室内栽培，温度不得低于20℃。 338、昙花开花期非常短暂，它常在夜晚开放。 339、昙花属于      仙人掌科。 340、兜兰得名于它的花形，它的花冠像个小兜兜。 341、含羞草的得名是因为它的叶子轻轻触摸就会迅速闭合。 342、有一种植物是以捕食虫类获取营养的，它是猪笼草。 343、米兰花名字由来是因为它的花像粟米。 344、红掌的花期为一个月。 345、在北方，玉兰花在3～4月开花。 346、人体内的心脏、动脉、静脉和毛细血管构成了人体的血液循环系统。 347、人体内大约有细胞100万亿个。 348、构成人体肌肉的细胞呈梭形。 349、人的小脑的主要功能是保持身体平衡。 350、人的左脑主要控制与理解力有关的行为。 351、人的右脑主要控制与创造力有关的行为。 352、神经细胞传递人体表面感觉的速度是5～120米/秒。 353、人眼看近处物体时，虹膜紧张收缩晶状体变得凸起。 354、老年人眼睛变花是因为晶状体弹力降低，调节能力减弱所致。 355、在光线好的地方看东西时瞳孔会变小。 [...]]]></description>
			<content:encoded><![CDATA[<p>301、千岁兰有很奇妙的特性，它只有两片叶子，而且终生不凋落，它的寿命有的达到了2000年。<br />
302、寄生植物自身无法制造养分，靠寄主；附生植物自身可能制造养分。<br />
303、小麦是最重要的粮食作物，它的栽培历史有1.5万年。<br />
304、全世界小麦品种约有上万种。<br />
305、我国科学家袁隆平培育的杂交水稻亩产450多千克。<br />
306、谷子去皮后为称小米。<br />
307、玉蜀黍学名是玉米。<br />
308、蜀黍的学名是高粱。<br />
309、胡椒是木质藤本植物。<br />
310、大茴香和大料是“八角”别称。<br />
311、我们平时吃的“香油”（麻油）来自于芝麻。<br />
312、茶树种植3年后可以采叶子。<br />
313、巧克力的原料是可可。<br />
314、芹菜的药用价值是降低血压。<br />
315、生菜与莴苣是近亲。<br />
316、莴苣的药用价值是清热化痰。<br />
317、姜是做菜时的配料，也是中药，它的药用价值是发表、驱寒。<br />
318、莲藕中富含维生素C。<br />
319、昆仑瓜是茄子的别称。<br />
320、多吃芋艿有保护牙齿的作用。<br />
321、南瓜和胡罗卜的共同之处是都富含胡罗卜素。<br />
322、毛豆与大豆的区别：毛豆充分成熟干化后就是大豆。<br />
323、辣椒、番茄、茄子都属于茄科。<br />
324、大白菜、圆白菜、花椰菜都属于一个科。<br />
325、有清暑、明目作用的蔬菜是苦瓜。<br />
326、之所以食用菜豆时一定要煮熟，是因为生的菜豆中含有一种人吃了会中毒的皂素。<br />
327、西瓜、哈密瓜、冬瓜都属于葫芦科。<br />
328、荔枝与龙眼均属于无患子科，龙眼有药用价值。<br />
329、菠萝和波罗蜜的果实都为聚花果。<br />
330、柚子在我国长江以南种植。<br />
331、在开花期“香飘十里”的花是桂花。<br />
332、被誉为“花中之王”的花是牡丹。<br />
333、鸡蛋花之所以得名是因为它内黄如蛋黄，外乳白如蛋白，因而得名。<br />
334、古希腊、古罗马人把睡莲尊为女神。<br />
335、扶桑是著名的观赏花木，它四季开花。<br />
336、有些动物会冬眠，而有一种花春季开花，夏季休眠，它是马蹄莲。<br />
337、万带兰生长在热带，如室内栽培，温度不得低于20℃。<br />
338、昙花开花期非常短暂，它常在夜晚开放。<br />
339、昙花属于      仙人掌科。<br />
340、兜兰得名于它的花形，它的花冠像个小兜兜。<br />
341、含羞草的得名是因为它的叶子轻轻触摸就会迅速闭合。<br />
342、有一种植物是以捕食虫类获取营养的，它是猪笼草。<br />
343、米兰花名字由来是因为它的花像粟米。<br />
344、红掌的花期为一个月。<br />
345、在北方，玉兰花在3～4月开花。<br />
346、人体内的心脏、动脉、静脉和毛细血管构成了人体的血液循环系统。<br />
347、人体内大约有细胞100万亿个。<br />
348、构成人体肌肉的细胞呈梭形。<br />
349、人的小脑的主要功能是保持身体平衡。<br />
350、人的左脑主要控制与理解力有关的行为。<br />
351、人的右脑主要控制与创造力有关的行为。<br />
352、神经细胞传递人体表面感觉的速度是5～120米/秒。<br />
353、人眼看近处物体时，虹膜紧张收缩晶状体变得凸起。<br />
354、老年人眼睛变花是因为晶状体弹力降低，调节能力减弱所致。<br />
355、在光线好的地方看东西时瞳孔会变小。<br />
356、有的人坐车晕车是因为内耳的平衡器官功能失调所致。<br />
357、人的一生要长两次牙，第一副是乳牙，第二副叫恒牙，恒牙一般有28～32颗。<br />
358、人的舌头上的味蕾能感受不同的味道，但舌头不同部位也有分工，其中舌尖主管甜味。<br />
359、如果把一个成年人全身的皮肤展开，面积有1.5平方米。<br />
360、人的手指甲一天可以长0.1毫米。<br />
361、人体骨骼由206块骨构成。<br />
362、人体骨头的坚硬程度赛过自然界的石头,一般骨头的承受力为2100千克/平方厘米。<br />
363、人体全身的肌肉共有639块。<br />
364、人体内肠道壁的肌肉是一种平滑肌。<br />
365、人体内大大小小的血管连起来有15万千米。<br />
366、静脉是引导血液流向心脏的血管。<br />
367、动脉是引导血液流出心脏的血管。<br />
368、心脏每天跳动10万次以上,流经心脏的血液约16吨。<br />
369、血小板在血液中的作用是随时准备应急堵漏。<br />
370、人体的肝脏能制造胆汁,胆汁的作用是参与消化脂肪。<br />
371、我们每天吃进食物后,食物中的养分经过小肠被吸收。<br />
372、人体吸入的氧气和呼出的二氧化碳，通过肺进行交换。<br />
373、人打哈欠是因为体内的二氧化碳增多。<br />
374、一个生命的诞生是从精卵细胞结合成受精卵开始的。<br />
375、发明加热灭菌法的人是法国的微生物学家巴斯德。<br />
376、艾滋病病毒可以通过血液传染。<br />
377、扁鹊是我国战国时期的医学家。<br />
378、撰写《本草纲目》的我国著名医药学家是李时珍。<br />
379、达尔文于19世纪中叶创立了生物进化论。<br />
380、现在陆地上最大的食草动物是象。象的食量很大，每天要吃的食物大约有100千克。<br />
381、现在世界上幸存的只有亚洲象和非洲象。<br />
382、非洲象比亚洲象体形高大。<br />
383、猛犸象全身披长毛，在距今1万年前已灭绝。<br />
384、象的怀孕期为22个月。<br />
385、生活在南美洲的骆马和羊驼属于骆驼类。<br />
386、骆驼是反刍动物，它有3个消化胃腔。<br />
387、单峰驼主要生活在非洲。<br />
388、双峰驼主要不生活在非洲。<br />
389、骆驼能适应沙漠中缺水的自然环境，有“沙漠之舟”之称，因为它无水又无食物时，靠驼峰里储存的脂肪生存。<br />
390、奔跑最快的动物是猎豹。<br />
391、东北虎和华南虎被列为国家1级保护动物。<br />
392、喜欢群居生活的动物是狮。<br />
393、黑熊冬天要冬眠3～4个月      。<br />
394、马来熊特别喜欢吃蜂蜜。<br />
395、长颈鹿生活在热带、亚热带，以树叶为食。<br />
396、长颈鹿是反刍动物，它有4个胃。<br />
397、长颈鹿的舌头可以长达45～50厘米。<br />
398、鹿的家族中体型最大的是驼鹿。<br />
399、四不象是指麋鹿。<br />
400、被列为国家Ⅰ级保护动物的鹿是坡鹿。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>有趣生物知识系列1</title>
		<link>http://www.91bio.com/interesting-biological-knowledge-series-1/</link>
		<comments>http://www.91bio.com/interesting-biological-knowledge-series-1/#comments</comments>
		<pubDate>Fri, 28 Oct 2011 03:56:00 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物常识]]></category>

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		<description><![CDATA[找生物-分享有趣、实用的生物资源！最近上网不太方便，转载一些文章，一些生物小常识，这些嫩不一定都指导哦，增长些小资本吧，为以后教育孩子也好啊！ 1、人体生理卫生包括：人体解剖、生理和卫生三个方面。 2、人体的腔有：颅腔、体腔（由胸腔和腹腔组成）、盆腔。 3、人体细胞的基本结构：细胞膜、细胞质、细胞核三个部分。 4、人体的基本组支：上皮组织、结缔组织、肌肉组织、神经组织四大类。 5、人体的八个系统：运动系统、循环系统、消化系统、呼吸系统、泌尿系统、神经系统、内分泌系统、生殖系统。 6、皮肤的结构：外层是表皮；内层是真皮。 7、骨的基本结构：骨膜、骨质、骨髓三个部分。 8、骨是由硬脆的无机物和柔韧的有机物组成的。 9、人体的骨骼由206块骨连结而成。 10、人体的骨骼由颅骨、躯干骨和四肢骨三部分组成。 11、人体的循环系统包括血液循环系统和淋巴系统。 12、血液是由血浆和血细胞（包括红细胞、白细胞和血小板）组成的。 13、血管分为动脉、静脉和毛细血管三种。 14、淋巴系统由淋巴管、淋巴结、脾、扁桃体等淋巴器官组成。 15、构成人体细胞的六大营养物质：蛋白质、糖类、脂肪、维生素、水、无机盐。 16、人的食物一般分为谷类、肉类、蔬菜水果类、奶和奶制品类这四类。 17、人的呼吸频率：成年人大约是16~18次/分。 18、人的心率：成年人平均为75次/分，正常变动范围为60~100 次/分。低于60次/分的为心动过缓；高于100次/分的为心动过速。 19、人的血压：成年人收缩压正常值的变动范围为12~18.7千帕，舒张压为8~12千帕。超过18.7/12千帕的为高血压；低于12/6.7千帕的为低血压。 20、人的肺活量：成年人大约是2500~4000毫升。 21、人的体温：口腔温度平均值37.2℃；腋窝温度平均值36.8℃；直肠温度平均值37.5℃。 22、神经调节的基本方式是反射。 23、神经系统由脑、脊髓和它们所发出的神经组成。脑和脊髓是神经系统的中枢部分，叫做中枢神经系统。 24、人的感觉有12种。 25、脊髓包括灰质和白质两部分。 26、人脑包括大脑、小脑和脑干三部分。 27、脑神经是由脑发出的，共有12对。 28、近视眼的特征：眼球的前后径过长，或者晶状体的曲度过大，物体通过晶状体折射后形成的物像落在视网膜的前方。近视眼可以配戴凹透镜纠正。 29、远视眼的特征：眼球的前后径过短，或者晶状体弹性小，物体通过晶状体折射后形成的物像落在视网膜的后方。远视眼可以配戴凸透镜纠正。 30、1965年9月，我国科学工作者首先用化学方法人工合成了具有全部生物活性的结晶牛胰岛素，这是世界上第一次用人工方法合成的蛋白质。 31、青春期的年龄范围在10~20岁左右。 32、人体免疫的三道防线： （１）第一道防线：皮肤和黏膜。 （２）第二道防线：体液中的杀菌物质和吞噬细胞。 （３） 第三道防线：免疫器官和免疫细胞。 第一道防线和第二道防线是先天性的，叫非特异性免疫；第三道防线是出生以后才产生的，叫特异性免疫。 33、艾滋病是英文AIDS的译音，它是由“人类免疫缺陷病毒（HIV）”引起的。该病毒存在于艾滋病患者和带病毒者的血液、精液、唾液、泪液、乳汁和尿液中，主要通过性滥交、毒品注射、输血、输入血液制品或使用未消毒的、病人用过的注射器而传染的。 34、传染病流行的三个基本环节：传染源、传播途径、易感人群。 35、人类的传染病分为四大类： （１） 呼吸道传染病：如感冒、百日咳、肺结核等； （２）消化道传染病：如肝炎、伤寒、蛔虫病等； （３）血液传染病：如脑炎、疟疾、出血热等； （４）体表传染病（又叫接触性传染病）：如狂犬病、炭疽病、破伤风、吸血虫病、沙眼等。 36、   染色体总是成对存在的。人的每个体细胞内都含有23对染色体；牛的体细胞内含有30对染色体；水稻的体细胞内含有12对染色体。 37、基因与性状的关系（以人的眼睑为例）： 基 因      AA      Aa      aa 性 状      双眼皮      双眼皮      单眼皮 38、用人工方法取出某种生物的个别基因，把它转移到其他生物的细胞中去，并使后者表现出新的遗传性状，这样的技术叫做基因工程。 39、植物进化的历程大致是：海洋中的原始藻类植物→陆地中的原始苔藓植物和蕨类植物→原始种子植物（包括裸子植物和被子植物）。 40、中国三大名花：报春花、龙胆花、杜鹃花。 41、动物进化的历程大致是：海洋中的原始单细胞动物→原始无脊椎动物→原始节肢动物→脊椎动物（鱼类→两栖类→爬行类→鸟类和哺乳类动物）。 42、控制人口增长的具体要求：晚婚、晚育、少生、优生。 43、地球表面分布三个圈层：大气圈、水圈、岩石圈。生物圈是指位于大气圈底部、水圈全部和岩石圈上部生物生存的场所。 44、细胞是由胡克最先发现的。 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！最近上网不太方便，转载一些文章，一些生物小常识，这些嫩不一定都指导哦，增长些小资本吧，为以后教育孩子也好啊！</p>
<p>1、人体生理卫生包括：人体解剖、生理和卫生三个方面。<br />
2、人体的腔有：颅腔、体腔（由胸腔和腹腔组成）、盆腔。<br />
3、人体细胞的基本结构：细胞膜、细胞质、细胞核三个部分。<br />
4、人体的基本组支：上皮组织、结缔组织、肌肉组织、神经组织四大类。<br />
5、人体的八个系统：运动系统、循环系统、消化系统、呼吸系统、泌尿系统、神经系统、内分泌系统、生殖系统。<br />
6、皮肤的结构：外层是表皮；内层是真皮。<br />
7、骨的基本结构：骨膜、骨质、骨髓三个部分。<br />
8、骨是由硬脆的无机物和柔韧的有机物组成的。<br />
9、人体的骨骼由206块骨连结而成。<br />
10、人体的骨骼由颅骨、躯干骨和四肢骨三部分组成。<br />
11、人体的循环系统包括血液循环系统和淋巴系统。<br />
12、血液是由血浆和血细胞（包括红细胞、白细胞和血小板）组成的。<br />
13、血管分为动脉、静脉和毛细血管三种。<br />
14、淋巴系统由淋巴管、淋巴结、脾、扁桃体等淋巴器官组成。<br />
15、构成人体细胞的六大营养物质：蛋白质、糖类、脂肪、维生素、水、无机盐。<br />
16、人的食物一般分为谷类、肉类、蔬菜水果类、奶和奶制品类这四类。<br />
17、人的呼吸频率：成年人大约是16~18次/分。<br />
18、人的心率：成年人平均为75次/分，正常变动范围为60~100 次/分。低于60次/分的为心动过缓；高于100次/分的为心动过速。<br />
19、人的血压：成年人收缩压正常值的变动范围为12~18.7千帕，舒张压为8~12千帕。超过18.7/12千帕的为高血压；低于12/6.7千帕的为低血压。<br />
20、人的肺活量：成年人大约是2500~4000毫升。<br />
21、人的体温：口腔温度平均值37.2℃；腋窝温度平均值36.8℃；直肠温度平均值37.5℃。<br />
22、神经调节的基本方式是反射。<br />
23、神经系统由脑、脊髓和它们所发出的神经组成。脑和脊髓是神经系统的中枢部分，叫做中枢神经系统。<br />
24、人的感觉有12种。<br />
25、脊髓包括灰质和白质两部分。<br />
26、人脑包括大脑、小脑和脑干三部分。<br />
27、脑神经是由脑发出的，共有12对。<br />
28、近视眼的特征：眼球的前后径过长，或者晶状体的曲度过大，物体通过晶状体折射后形成的物像落在视网膜的前方。近视眼可以配戴凹透镜纠正。<br />
29、远视眼的特征：眼球的前后径过短，或者晶状体弹性小，物体通过晶状体折射后形成的物像落在视网膜的后方。远视眼可以配戴凸透镜纠正。<br />
30、1965年9月，我国科学工作者首先用化学方法人工合成了具有全部生物活性的结晶牛胰岛素，这是世界上第一次用人工方法合成的蛋白质。<br />
31、青春期的年龄范围在10~20岁左右。<br />
32、人体免疫的三道防线：<br />
（１）第一道防线：皮肤和黏膜。<br />
（２）第二道防线：体液中的杀菌物质和吞噬细胞。<br />
（３） 第三道防线：免疫器官和免疫细胞。<br />
第一道防线和第二道防线是先天性的，叫非特异性免疫；第三道防线是出生以后才产生的，叫特异性免疫。<br />
33、艾滋病是英文AIDS的译音，它是由“人类免疫缺陷病毒（HIV）”引起的。该病毒存在于艾滋病患者和带病毒者的血液、精液、唾液、泪液、乳汁和尿液中，主要通过性滥交、毒品注射、输血、输入血液制品或使用未消毒的、病人用过的注射器而传染的。<br />
34、传染病流行的三个基本环节：传染源、传播途径、易感人群。<br />
35、人类的传染病分为四大类：<br />
（１） 呼吸道传染病：如感冒、百日咳、肺结核等；<br />
（２）消化道传染病：如肝炎、伤寒、蛔虫病等；<br />
（３）血液传染病：如脑炎、疟疾、出血热等；<br />
（４）体表传染病（又叫接触性传染病）：如狂犬病、炭疽病、破伤风、吸血虫病、沙眼等。<br />
36、   染色体总是成对存在的。人的每个体细胞内都含有23对染色体；牛的体细胞内含有30对染色体；水稻的体细胞内含有12对染色体。</p>
<p>37、基因与性状的关系（以人的眼睑为例）：<br />
基 因      AA      Aa      aa<br />
性 状      双眼皮      双眼皮      单眼皮<br />
38、用人工方法取出某种生物的个别基因，把它转移到其他生物的细胞中去，并使后者表现出新的遗传性状，这样的技术叫做基因工程。<br />
39、植物进化的历程大致是：海洋中的原始藻类植物→陆地中的原始苔藓植物和蕨类植物→原始种子植物（包括裸子植物和被子植物）。<br />
40、中国三大名花：报春花、龙胆花、杜鹃花。<br />
41、动物进化的历程大致是：海洋中的原始单细胞动物→原始无脊椎动物→原始节肢动物→脊椎动物（鱼类→两栖类→爬行类→鸟类和哺乳类动物）。<br />
42、控制人口增长的具体要求：晚婚、晚育、少生、优生。<br />
43、地球表面分布三个圈层：大气圈、水圈、岩石圈。生物圈是指位于大气圈底部、水圈全部和岩石圈上部生物生存的场所。<br />
44、细胞是由胡克最先发现的。<br />
45、我国一级保护植物有8种：① 桫椤（属于蕨类植物）；② 银杉；③ 水杉；④ 台湾杉（另说秃杉，属于裸子植物）；⑤ 金花茶；⑥ 珙桐；⑦ 人参；⑧ 望天树（属于被子植物）。<br />
46、地球上造养最多的物质是藻类。<br />
47、1859年，英国达尔文出版了《物种起源》一书，提出以自然选择为基础的进化论学说。<br />
48、通过豌豆及其他一些植物的杂交试验阐明生物界有规律的遗传现象叫孟德尔现象。<br />
49、四大类人猿：①大猩猩；②黑猩猩；③猩猩；④长臂猿。<br />
50、鱼不能合上眼睛。<br />
51、植物的传染病大多数是由真菌引起的。<br />
52、草本植物的共同特征是它们的茎不含木质。<br />
53、典型被子植物的六个组成部分：根、茎、叶、花、果实、种子。<br />
54、花的作用：繁衍后代。<br />
55、花的香味是由花瓣中的一种能产生芳香油的细胞制造出来的。<br />
56、细菌是最原始的生物体。<br />
57、人体对最大的一对唾液腺是位于耳朵前面的腮腺。<br />
58、的成长要经历5个阶段：婴儿、童年、青少年、中年、老年。<br />
59、几种动物的特殊技能：（１）鸟儿飞行是靠天体方位辨别方向的；（２）蝙蝠是靠超声波来辨认物体的；（３）蛇是靠不断吐舌头来感觉物体是否靠近的；（４）蛇是用腹部的鳞片走路的；（５）鱼是靠鳍来保持身体平衡的。</p>
<p>60、人体必须的营养素有六大类：蛋白质、脂肪、糖类（也称碳水化合物）、维生素、无机盐（也称矿物质）、水。其中：蛋白质、脂肪、糖类称为三大热能营养素。<br />
61、人体的神经细胞的周围有很多长而细的突起，称为树突。<br />
62、造成人的皮肤不同颜色的主要原因是黑色素。<br />
63、生长素是由脑垂体分泌出来的。<br />
64、“生物钟”位于下丘脑的神经细胞中。<br />
65、婴儿的身体里大概有350块骨头。<br />
66、人体的肌肉分三种类型：①骨骼肌；②平滑肌；③心肌。<br />
67、人体脊柱有４个生理弯曲。<br />
68、人体里总共有600块肌肉。<br />
69、胸腺只存在于人一生中的婴儿至青年阶段。<br />
70、人的皮肤下的冷觉感受器往往比热觉感受器多一些。<br />
71、指纹可分为三类：①斗形；②箕形；③弓形。<br />
72、桉树只分布在澳大利亚。<br />
73、北极雷鸟根据季节来变换羽毛的颜色。<br />
74、鸟嘴的学名叫喙。<br />
75、世界上飞得最高的鸟是天鹅。<br />
76、鸟类的三种飞行方式：①滑翔；②鼓翅；③翱翔。<br />
77、世界上最大的虾中龙虾。<br />
78、几种动物的主要食物：（１）大熊猫：箭竹；（２）蓝鲸：磷虾；（３） 蚕：桑叶；（４） 刚孵化的屎壳郎：粪球。<br />
79、几种花的开花时间：（１）牵牛花：凌晨4点；（２）郁金香：早晨7点半；（３）万寿菊：下午3点；（４）紫茉莉：晚上8点。<br />
80、昙花盛开的时间为１－２个小时。<br />
81、宽吻鳄只分布在中国和美国。<br />
82、老鼠经常在晚上把东西咬坏，并不一定是为了吃东西，而是为了把自己的门牙磨平。<br />
83、麋鹿俗称“四不象”，其头像马、角像鹿、蹄像牛、尾像驴。<br />
84、按照茎的木质化程度与高度不同，可把植物分为４种：①乔木；②灌木；③草本植物；④藤木植物。<br />
85、低等植物分为12门：蓝藻门、红藻门、绿藻门、裸藻门、甲藻门、金藻门、褐藻门、真菌门、轮藻门、细菌门、粘菌门、地衣门。<br />
86、植物的根分为４个区：①成熟区；②伸长区；③分生区；④根冠。<br />
87、被子植物的种子由子房包裹着，而裸子植物没有。<br />
88、象的怀孕期要经过22个月。<br />
89、海洋生物约占地球生物总量的99%。<br />
90、我国野生动物保护协会设在北京。<br />
91、银杏是唯一的落叶阔叶乔木。<br />
92、雪松原产在我国的西藏。<br />
93、我国和日本有一种珍贵的食品叫“石耳”，它是一种地衣。<br />
94、人的指甲由甲板、甲床、甲根三部分组成。其中：甲床里有血管和神经。<br />
95、鲸的种类：①齿鲸；②须鲸。<br />
96、白鳍豚是我国独有的一种淡水鲸类。<br />
97、大熊猫的祖先是食肉动物。<br />
98、人在五以后，不规则骨里的红骨髓会失去造血功能，但扁状骨里的红骨髓还会继续发挥造血功能。<br />
99、我国丹顶鹤的主要繁殖地在松花江和嫩江流域一带。<br />
100、马戏团驯化动物是利用条件反射，提出这一学说的是苏联生理学家巴甫洛夫。</p>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>适合懒人的终极健身法</title>
		<link>http://www.91bio.com/ultimate-fitness-for-lazy-method/</link>
		<comments>http://www.91bio.com/ultimate-fitness-for-lazy-method/#comments</comments>
		<pubDate>Tue, 25 Oct 2011 11:35:38 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[健康]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645439</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 本文转载自友乐活 你是网虫吗？ 你每天坐6个小时以上吗？ 你是被困在格子间里的OL或者OG吗？ 脖子僵硬，肩膀酸痛，腰部隐隐作痛…… 如果你有以上症状，却改变不了自己的工作、生活方式，又不怎么运动的话，这里有一个非常适合你的健身法，小编亲自验证，耗时短，见效快，还有各种附加好处，这种方法就是—— 撞墙 NO，不是让你像橄榄球运动员一样去撞墙，那叫拆迁。 &#160; “撞墙健身法”的操作非常简单： 1、准备姿势 双脚外八字站好背对墙壁，脚后跟分开距离4~5厘米，后背离墙35~40厘米。 2、健身过程 ①双手自然垂在身侧，自然地倒向墙壁，每次动作用力均匀； ②每次撞击的间隔约为1秒钟； ③撞击时放松精神，调整呼吸，与撞墙频率一致； 3、运动时间 ①刚开始这项健身，只撞5分钟左右就可以； ②习惯之后可以延长到10~20分钟； ③循序渐进，一次不要超过30分钟 4、注意事项 ①不要站得离墙太远，不要刻意地用力碰撞，那是自虐； ②不要撞到头部，当心不要撞痛你的肩胛骨……或者可以避开肩胛部分； ③小心不要咬到舌头； ④撞到背部发热、筋骨舒畅就好，不要贪图爽快猛撞一气，拆了房子得不偿失。 ⑤从事这项健身运动时，有少数人会出现头晕、头胀、头痛等不适感觉，这是人体经络调整的正常现象，不要担心，只要酌情控制撞击的时间及力度，这些症状就会渐渐消失。 5、不适宜人群 ①注意墙面是平整的，不要有凸起硌到背部，甚至形成伤害； ②50岁以上的人尽量不要撞，或者控制在3~5分钟以内 ③患有下列疾病的人不要撞 A 心脏病；B 尚未明确诊断的脊柱病；C 内脏下垂；D 血压过高；E 晚期肿瘤。 原理挖掘——撞墙为何能健身？ 中医认为，人的后背有很多重要的经脉，这其中就有最出名的“任督二脉”中的督脉。 督脉则是诸阳之会，打通督脉，即可祛除许多疾病，撞墙相当于等于按摩、挤压背部经络，甚至比简单的推拿按摩还要有效。 撞击上背可以刺激到主治肺部疾病的肺俞穴，主治心脏疾病的心俞穴，能宽胸理气的督俞穴以及理血、宽中、和胃的膈俞穴等； 撞击腰和下背可以刺激主治肝脏疾病的肝俞穴，主治胆囊疾病的胆俞穴，还有健脾、和胃、化湿的脾俞穴等； 撞击左右肩胛上的穴位，对治疗头面部疾病、颈椎病、肩周炎有特效； 撞击背的侧部，能够宽胸理气，治疗肋间疼痛。 此外，尽量挺胸撞击颈肩部的大椎、风门等穴位，可以治疗颈椎病以及颈肩综合征。 撞墙效果如何？——友乐活小编非官方案例 这里要向大家介绍一个人，就是小编我了。 小编的肩部僵硬酸痛情况非常严重，稍一用力按压就会痛到咆哮，第一次撞墙健身是在上午，大概耗时10分钟左右。当时没什么特别的感觉，晚上看电视的时候下意识地揉了一下肩膀，不仅疼痛感消失了，连僵硬的肌肉也软化不少！ 这就是小编迷上撞墙的心路历程，各位久坐族，格子间族，OL、OG们，不妨也来试试看。 我是追根朔源的小尾巴： 《养生四要.慎动》：“背则五脏之附也，背欲常暖，暖则肺脏不伤。” 《摄生消息论. 春季摄生消息论》：“不可令背寒，寒即伤肺，令鼻寒咳嗽。” 《老老恒言》:“肺腧穴在背，《内经》曰&#8217;肺朝百脉，输精于皮毛’。不可失寒暖之节。今俗有所谓背搭，护其背也。” 《老老恒言》：“五脏腧穴，皆会于背，夏热时有命童仆扇风者，风必及之，则风切入脏，殆患非细，有汉时尤甚。” 没错，背部就是这么神奇，撞墙法甚至是杨式太极拳中的一式，又名靠山功，也叫虎背功，过去都要正式投门拜帖的弟子才能得到真传。现在揭开真相，也就造福大众了。 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>本文转载自<a href="http://www.yoloho.com/qizuibashe" target="_blank">友乐活</a></p>
<p>你是网虫吗？</p>
<p>你每天坐6个小时以上吗？</p>
<p>你是被困在格子间里的OL或者OG吗？</p>
<p>脖子僵硬，肩膀酸痛，腰部隐隐作痛……</p>
<p>如果你有以上症状，却改变不了自己的工作、生活方式，又不怎么运动的话，这里有一个非常适合你的健身法，小编亲自验证，耗时短，见效快，还有各种附加好处，这种方法就是——</p>
<p><strong>撞墙</strong></p>
<div>
<p>NO，不是让你像橄榄球运动员一样去撞墙，那叫拆迁。</p>
<hr />
</div>
<p>&nbsp;</p>
<p><strong>“撞墙健身法”的操作非常简单：</strong></p>
<p><strong>1、准备姿势</strong></p>
<p>双脚外八字站好背对墙壁，脚后跟分开距离4~5厘米，后背离墙35~40厘米。</p>
<p><strong>2、健身过程</strong></p>
<p>①双手自然垂在身侧，自然地倒向墙壁，每次动作用力均匀；</p>
<p>②每次撞击的间隔约为1秒钟；</p>
<p>③撞击时放松精神，调整呼吸，与撞墙频率一致；</p>
<div>
<div><img src="http://www.yoloho.com/upload/healthblog/2011/10/18/4e9d5bb188247.jpg" alt="" width="330" height="453" /></div>
<p>3、运动时间</p>
</div>
<p>①刚开始这项健身，只撞5分钟左右就可以；</p>
<p>②习惯之后可以延长到10~20分钟；</p>
<p>③循序渐进，一次不要超过30分钟</p>
<p><strong>4、注意事项</strong></p>
<p>①不要站得离墙太远，不要刻意地用力碰撞，那是自虐；</p>
<p>②不要撞到头部，当心不要撞痛你的肩胛骨……或者可以避开肩胛部分；</p>
<p>③小心不要咬到舌头；</p>
<p>④撞到背部发热、筋骨舒畅就好，不要贪图爽快猛撞一气，拆了房子得不偿失。</p>
<p>⑤从事这项健身运动时，有少数人会出现头晕、头胀、头痛等不适感觉，这是人体经络调整的正常现象，不要担心，只要酌情控制撞击的时间及力度，这些症状就会渐渐消失。</p>
<p><strong>5、不适宜人群</strong></p>
<p>①注意墙面是平整的，不要有凸起硌到背部，甚至形成伤害；</p>
<p>②50岁以上的人尽量不要撞，或者控制在3~5分钟以内</p>
<p>③患有下列疾病的人不要撞</p>
<div>
<p>A 心脏病；B 尚未明确诊断的脊柱病；C 内脏下垂；D 血压过高；E 晚期肿瘤。</p>
</div>
<div>
<hr />
</div>
<div>
<div>
<div><img src="http://www.yoloho.com/upload/healthblog/2011/10/18/4e9d5cffa14a1.jpg" alt="" width="439" height="612" /></div>
<p>原理挖掘——撞墙为何能健身？</p>
</div>
</div>
<p>中医认为，人的后背有很多重要的经脉，这其中就有最出名的“任督二脉”中的督脉。</p>
<div>
<div>
<p>督脉则是诸阳之会，打通督脉，即可祛除许多疾病，撞墙相当于等于按摩、挤压背部经络，甚至比简单的推拿按摩还要有效。</p>
<div>
<p>撞击上背可以刺激到主治肺部疾病的肺俞穴，主治心脏疾病的心俞穴，能宽胸理气的督俞穴以及理血、宽中、和胃的膈俞穴等；</p>
<p>撞击腰和下背可以刺激主治肝脏疾病的肝俞穴，主治胆囊疾病的胆俞穴，还有健脾、和胃、化湿的脾俞穴等；</p>
<p>撞击左右肩胛上的穴位，对治疗头面部疾病、颈椎病、肩周炎有特效；</p>
<div>
<p>撞击背的侧部，能够宽胸理气，治疗肋间疼痛。</p>
<p>此外，尽量挺胸撞击颈肩部的大椎、风门等穴位，可以治疗颈椎病以及颈肩综合征。</p>
</div>
<hr />
</div>
</div>
</div>
<div>
<p><strong>撞墙效果如何？</strong>——友乐活小编非官方案例</p>
<p>这里要向大家介绍一个人，就是小编我了。</p>
<p>小编的肩部僵硬酸痛情况非常严重，稍一用力按压就会痛到咆哮，第一次撞墙健身是在上午，大概耗时10分钟左右。当时没什么特别的感觉，晚上看电视的时候下意识地揉了一下肩膀，不仅疼痛感消失了，连僵硬的肌肉也软化不少！</p>
<p>这就是小编迷上撞墙的心路历程，各位久坐族，格子间族，OL、OG们，不妨也来试试看。</p>
<hr />
<p><strong>我是追根朔源的小尾巴：</strong></p>
<p>《养生四要.慎动》：“背则五脏之附也，背欲常暖，暖则肺脏不伤。”</p>
<p>《摄生消息论. 春季摄生消息论》：“不可令背寒，寒即伤肺，令鼻寒咳嗽。”</p>
<p>《老老恒言》:“肺腧穴在背，《内经》曰&#8217;肺朝百脉，输精于皮毛’。不可失寒暖之节。今俗有所谓背搭，护其背也。”</p>
<p>《老老恒言》：“五脏腧穴，皆会于背，夏热时有命童仆扇风者，风必及之，则风切入脏，殆患非细，有汉时尤甚。”</p>
<hr />
</div>
<div>
<p>没错，背部就是这么神奇，撞墙法甚至是杨式太极拳中的一式，又名靠山功，也叫虎背功，过去都要正式投门拜帖的弟子才能得到真传。现在揭开真相，也就造福大众了。</p>
<p>于是，懒人们，还等什么？花上五六分钟一起撞墙吧~</p>
</div>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>生物学凡人修仙传</title>
		<link>http://www.91bio.com/cultivation-biology-mortal-pass/</link>
		<comments>http://www.91bio.com/cultivation-biology-mortal-pass/#comments</comments>
		<pubDate>Thu, 20 Oct 2011 01:14:25 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645435</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物试验技巧！分享豆瓣上RIP豆油的一篇原创文章，比较风趣、读起来颇有一番味道的！ 1，修仙分为五个阶段，一一对应如下： 炼气期&#8212;&#8212;&#8212;-大学；此时正式打基础的时期，无甚修为，也没有眼界，只能修炼一般的基础功法，除了同辈直接较量一下，各个门派也无甚差别，甚至散修也差不到哪里去。当然有灵根的弟子会被北大，清华等大门派吸纳，但是入门的惨烈争斗还是触目惊心的（高考）； 筑基期&#8212;&#8212;&#8212;-Ph.D在读时期；此时已经有了一些法力，可以指点炼器期的晚辈了。但是此时的门派差异性也已经初步显现出来了，进入 名门大派的弟子有机会获得筑基丹的机会会多出散修不少，但又分为两种，一是直接赐予（报送）；二是参加血色试炼（考研），虽然后一种惨烈无比，但是回报也 不错； 结丹期&#8212;&#8212;&#8211;Ph.D后期直到Postdoc，此时修为有了一些境界，可以修炼自己的内丹法宝了（论文），法宝威力越大（impact factor）日后立足的可能性就越大。不过散修（民科）是不可能到达这一阶段的，往往会走火入魔（胡言滥语，神经错乱）。此时的门派差异性大为突出，绝 大多数的中土门派往往结丹微小，甚至结的是煞丹，根本无法修成正果。只有北大，清华，复旦，浙大，中科院这些名门正宗才有可能进入下一境界。（当然，也有 不少小门派的个别老怪，修为深厚，可以利用其深厚法力帮助后辈）。期间，还有不少修士越洋投奔西方的门派，往往获得奇缘； 元婴期&#8212;&#8212;-有了自己的实验室（包括成为PI），此时功力大进，对一般的小门派也不放在眼里。但是此元婴绝大多数需在极西之地结成，其中 三种元婴（cell，nature，science）最为难结，会把人折磨的死去活来，还有无数外魔干扰（editor，reviewer）。不过直到此 时，才算修仙略有小成。又可分为三个时期：初期，初有实验室，凡事亲力亲为，略有一二侍妾或者手下帮忙，每年为了灵石（基金）和炼丹（试剂）和炼器材料 （设备）忙来忙去。凡事处处赔小心，生怕得罪牛人，修炼受阻，此时碰到一般的reviewer也是处处赔小心，人家让做什么就做什么，生生不敢造次；中 期，此时元婴已经结稳，也闯下一些名望，一般的reviewer也敢交手一二，也不至于落败下风，炼丹和炼器新心得颇多，也有一些厉害东西在手，一般人不 敢将其如何了；后期，在某一宗派内已经威名远扬，普通人早就无法企及，reviewer之流根本不放在眼里，大多接受凡人的供奉，如果寿命不是寿命限制， 多少可以进入下一时期； 化神期&#8212;&#8212;大多数人都在上一时期徘徊一辈子了。进入化神期的高人是在少之又少，每年在极西之地瑞典有一次化神圣典，七大宗派，每派最多只有三人化神成功，可谓仙缘难遇啊。我中土之地，至今未有化神高人，也不得不说是一大遗憾啊。 魔修和鬼修&#8212;&#8211;虽然也有上述进化阶段，但是这两种修士手法阴损，害天残物，其人大多修炼乾坤挪移法和生生造化功，虽进阶神速，但是对人对己，残害甚重。不幸的是，中土之地，此两种功法源源不绝，大有猖獗之势啊。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物试验技巧！分享<a href="http://www.douban.com/group/topic/17622239/" target="_blank">豆瓣上RIP豆油</a>的一篇原创文章，比较风趣、读起来颇有一番味道的！</p>
<p><img class="aligncenter" title="修仙" src="http://zthd.5617.com/files/101026/1012/x_c19520300581.jpg" alt="" width="401" height="290" /></p>
<p>1，修仙分为五个阶段，一一对应如下：</p>
<p>炼气期&#8212;&#8212;&#8212;-大学；此时正式打基础的时期，无甚修为，也没有眼界，只能修炼一般的基础功法，除了同辈直接较量一下，各个门派也无甚差别，甚至散修也差不到哪里去。当然有灵根的弟子会被北大，清华等大门派吸纳，但是入门的惨烈争斗还是触目惊心的（高考）；</p>
<p>筑基期&#8212;&#8212;&#8212;-Ph.D在读时期；此时已经有了一些法力，可以指点炼器期的晚辈了。但是此时的门派差异性也已经初步显现出来了，进入 名门大派的弟子有机会获得筑基丹的机会会多出散修不少，但又分为两种，一是直接赐予（报送）；二是参加血色试炼（考研），虽然后一种惨烈无比，但是回报也 不错；</p>
<p>结丹期&#8212;&#8212;&#8211;Ph.D后期直到Postdoc，此时修为有了一些境界，可以修炼自己的内丹法宝了（论文），法宝威力越大（impact factor）日后立足的可能性就越大。不过散修（民科）是不可能到达这一阶段的，往往会走火入魔（胡言滥语，神经错乱）。此时的门派差异性大为突出，绝 大多数的中土门派往往结丹微小，甚至结的是煞丹，根本无法修成正果。只有北大，清华，复旦，浙大，中科院这些名门正宗才有可能进入下一境界。（当然，也有 不少小门派的个别老怪，修为深厚，可以利用其深厚法力帮助后辈）。期间，还有不少修士越洋投奔西方的门派，往往获得奇缘；</p>
<p>元婴期&#8212;&#8212;-有了自己的实验室（包括成为PI），此时功力大进，对一般的小门派也不放在眼里。但是此元婴绝大多数需在极西之地结成，其中 三种元婴（cell，nature，science）最为难结，会把人折磨的死去活来，还有无数外魔干扰（editor，reviewer）。不过直到此 时，才算修仙略有小成。又可分为三个时期：初期，初有实验室，凡事亲力亲为，略有一二侍妾或者手下帮忙，每年为了灵石（基金）和炼丹（试剂）和炼器材料 （设备）忙来忙去。凡事处处赔小心，生怕得罪牛人，修炼受阻，此时碰到一般的reviewer也是处处赔小心，人家让做什么就做什么，生生不敢造次；中 期，此时元婴已经结稳，也闯下一些名望，一般的reviewer也敢交手一二，也不至于落败下风，炼丹和炼器新心得颇多，也有一些厉害东西在手，一般人不 敢将其如何了；后期，在某一宗派内已经威名远扬，普通人早就无法企及，reviewer之流根本不放在眼里，大多接受凡人的供奉，如果寿命不是寿命限制， 多少可以进入下一时期；</p>
<p>化神期&#8212;&#8212;大多数人都在上一时期徘徊一辈子了。进入化神期的高人是在少之又少，每年在极西之地瑞典有一次化神圣典，七大宗派，每派最多只有三人化神成功，可谓仙缘难遇啊。我中土之地，至今未有化神高人，也不得不说是一大遗憾啊。</p>
<p>魔修和鬼修&#8212;&#8211;虽然也有上述进化阶段，但是这两种修士手法阴损，害天残物，其人大多修炼乾坤挪移法和生生造化功，虽进阶神速，但是对人对己，残害甚重。不幸的是，中土之地，此两种功法源源不绝，大有猖獗之势啊。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>小技巧Western blot转印的优化</title>
		<link>http://www.91bio.com/tips-to-optimize-western-blot-transfer/</link>
		<comments>http://www.91bio.com/tips-to-optimize-western-blot-transfer/#comments</comments>
		<pubDate>Wed, 19 Oct 2011 23:21:42 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[WB]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645430</guid>
		<description><![CDATA[找生物以前分享过一篇《WB过程中如何保证完美的蛋白转印》的文章，今天继续探讨WB转印过程中的优化小技巧！ 从SDS凝胶中进行Western蛋白转印的优化需要对一系列参数进行考虑。目的是转印所有凝胶上的蛋白并将其定量地转移到转印膜上。进行高效转印需要一定程度的优化，尤其是对于大分子量和小分子量蛋白。 转印后，凝胶上应不残留或残留很少的蛋白。可以在转印后进行染色进行检测。转移出凝胶的蛋白应该仅在接触凝胶的膜的一面可见。如果有怀疑，在转印时 使用第二个”支持膜”，你可以在转膜后染色，以检查是否有穿膜的迹象。如果发现蛋白残留在凝胶上而且膜的结合性很差，可以考虑下列因素： SDS vs 酒精 在多数转印实验步骤中都使用SDS和酒精。但两者对于成功的转印有相反的作用，需要根据欲转印蛋白的性质加以优化。 SDS对于蛋白的迁移是必要的，尤其有助于大分子量蛋白从凝胶上的转移。但由于膜结合需要疏水相互作用，SDS过多会抑制结合，尤其对于硝酸纤维素膜。 如果从蛋白上剥离太多SDS，将无法将蛋白转移出膜。作为一个一般性的规则，如果膜的结合力有效，但蛋白仍旧残留在凝胶上，在转印缓冲液中加入 0.01％会促进完全转印。建议的步骤在转印缓冲液中不含有SDS，但凝胶在电泳后不需要浸泡在转印缓冲液中；凝胶中残留的SDS对于有效的转印已经足 够。但另一方面，酒精通过在蛋白上剥离SDS促进蛋白和膜的疏水接合。一般在转印缓冲液中加入20％的甲醇会增加硝酸纤维素膜的接合能力。 凝胶浓度 丙烯酰胺浓度越低，蛋白越容易转移下来。选择可以分离蛋白的浓度最低的凝胶。梯度胶适用于转印一系列不同大小的蛋白，因为凝胶的孔与不同大小的蛋白匹配良好。 凝胶厚度 蛋白比较易于从薄胶上转移下来，所以上样体积允许，使用1.0mm厚的胶取代1.5mm的胶。 电场（电压×时间） 如果电压过低而且转印时间过短，部分蛋白会残留在凝胶上。如果电压过高，小蛋白会在结合到膜上前透膜而出。如果按建议的条件转印后有蛋白残留在胶 上，增加电压可能会有帮助，但不要超过5V。但注意，一旦SDS从蛋白剥离，增加转印时间或提高电压就无效果。一旦结合，即使延长转印时间，大部分蛋白也 会保持在膜上。 膜的类型 结合到硝酸纤维素膜上主要通过疏水键。硝酸纤维素膜对于常规使用非常好。对于小的多肽，建议使用小口径的膜。 PVDF比硝酸纤维素膜更疏水，在转印过程中结合蛋白更紧密，可以耐受更多的SDS。目前，PVDF一般比硝酸纤维素膜需要更严谨的封闭条件。其适用于蛋白测序。 尼龙膜通过疏水和静电相互作用结合。其SDS耐受度甚至高于PVDF，但也需要更严谨的封闭条件。主要建议用于Northern和 Southern。]]></description>
			<content:encoded><![CDATA[<p title="WB过程中如何保证完美的蛋白转印">找生物以前分享过一篇《<a title="WB过程中如何保证完美的蛋白转印" href="http://www.91bio.com/wb-process-of-how-to-ensure-a-perfect-transfer-protein/" target="_blank">WB过程中如何保证完美的蛋白转印</a>》的文章，今天继续探讨WB转印过程中的优化小技巧！</p>
<p title="WB过程中如何保证完美的蛋白转印"><img class="aligncenter" title="wb" src="http://bitesizebio.s3.amazonaws.com/content/uploads/2011/08/western-blot-tips.jpg" alt="" width="600" height="250" /></p>
<p>从SDS凝胶中进行Western蛋白转印的优化需要对一系列参数进行考虑。目的是转印所有凝胶上的蛋白并将其定量地转移到转印膜上。进行高效转印需要一定程度的优化，尤其是对于大分子量和小分子量蛋白。</p>
<p>转印后，凝胶上应不残留或残留很少的蛋白。可以在转印后进行染色进行检测。转移出凝胶的蛋白应该仅在接触凝胶的膜的一面可见。如果有怀疑，在转印时 使用第二个”支持膜”，你可以在转膜后染色，以检查是否有穿膜的迹象。如果发现蛋白残留在凝胶上而且膜的结合性很差，可以考虑下列因素：</p>
<p>SDS vs 酒精</p>
<p>在多数转印实验步骤中都使用SDS和酒精。但两者对于成功的转印有相反的作用，需要根据欲转印蛋白的性质加以优化。</p>
<p>SDS对于蛋白的迁移是必要的，尤其有助于大分子量蛋白从凝胶上的转移。但由于膜结合需要疏水相互作用，SDS过多会抑制结合，尤其对于硝酸纤维素膜。 如果从蛋白上剥离太多SDS，将无法将蛋白转移出膜。作为一个一般性的规则，如果膜的结合力有效，但蛋白仍旧残留在凝胶上，在转印缓冲液中加入 0.01％会促进完全转印。建议的步骤在转印缓冲液中不含有SDS，但凝胶在电泳后不需要浸泡在转印缓冲液中；凝胶中残留的SDS对于有效的转印已经足 够。但另一方面，酒精通过在蛋白上剥离SDS促进蛋白和膜的疏水接合。一般在转印缓冲液中加入20％的甲醇会增加硝酸纤维素膜的接合能力。</p>
<p>凝胶浓度</p>
<p>丙烯酰胺浓度越低，蛋白越容易转移下来。选择可以分离蛋白的浓度最低的凝胶。梯度胶适用于转印一系列不同大小的蛋白，因为凝胶的孔与不同大小的蛋白匹配良好。</p>
<p>凝胶厚度</p>
<p>蛋白比较易于从薄胶上转移下来，所以上样体积允许，使用1.0mm厚的胶取代1.5mm的胶。</p>
<p>电场（电压×时间）</p>
<p>如果电压过低而且转印时间过短，部分蛋白会残留在凝胶上。如果电压过高，小蛋白会在结合到膜上前透膜而出。如果按建议的条件转印后有蛋白残留在胶 上，增加电压可能会有帮助，但不要超过5V。但注意，一旦SDS从蛋白剥离，增加转印时间或提高电压就无效果。一旦结合，即使延长转印时间，大部分蛋白也 会保持在膜上。</p>
<p>膜的类型</p>
<p>结合到硝酸纤维素膜上主要通过疏水键。硝酸纤维素膜对于常规使用非常好。对于小的多肽，建议使用小口径的膜。</p>
<p>PVDF比硝酸纤维素膜更疏水，在转印过程中结合蛋白更紧密，可以耐受更多的SDS。目前，PVDF一般比硝酸纤维素膜需要更严谨的封闭条件。其适用于蛋白测序。</p>
<p>尼龙膜通过疏水和静电相互作用结合。其SDS耐受度甚至高于PVDF，但也需要更严谨的封闭条件。主要建议用于Northern和 Southern。</p>
]]></content:encoded>
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		</item>
		<item>
		<title>2010版GMP实施指南</title>
		<link>http://www.91bio.com/2010-version-of-the-gmp-guide/</link>
		<comments>http://www.91bio.com/2010-version-of-the-gmp-guide/#comments</comments>
		<pubDate>Mon, 17 Oct 2011 13:28:15 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[GMP]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645422</guid>
		<description><![CDATA[&#160; 这个是北京大学的初稿，来源自网络，找生物整理于此！请有鉴别的下载使用！ 《GMP实施指南》包括内容： 1.原料药GMP实施指南 2.实验室控制系统GMP实施指南 3.质量系统GMP实施指南 4.厂房设备GMP 实施指南 5.空调系统GMP 实施指南 6.口服固体制剂GMP实施指南 7.水系统GMP实施指南 8.无菌制剂GMP 实施指南 9.物料系统GMP 实施指南 2010版&#8211;无菌制剂GMP实施指南.pdf 2010版—质量系统GMP实施指南.pdf 2010版—水系统GMP实施指南.pdf 2010版&#8211;原料药GMP实施指南.pdf 2010版—厂房设备GM实施指南.pdf 2010版—物料系统GMP实施指南.pdf 2010版—口服固体制剂GMP实施指南.pdf 2010版—空调系统GMP实施指南.pdf 2010版—实验室控制系统GMP实施指南.pdf]]></description>
			<content:encoded><![CDATA[<p><img class="aligncenter" title="21" src="http://img2.b2b.makepolo.com/images/formals/medium_img/product/746/509/medium_f9025fbd69591368729452f8e5fd5952.jpg" alt="" width="270" height="258" /></p>
<p>&nbsp;</p>
<p>这个是北京大学的初稿，来源自网络，找生物整理于此！请有鉴别的下载使用！</p>
<p>《GMP实施指南》包括内容：<br />
1.原料药GMP实施指南<br />
2.实验室控制系统GMP实施指南<br />
3.质量系统GMP实施指南<br />
4.厂房设备GMP 实施指南<br />
5.空调系统GMP 实施指南<br />
6.口服固体制剂GMP实施指南<br />
7.水系统GMP实施指南<br />
8.无菌制剂GMP 实施指南<br />
9.物料系统GMP 实施指南</p>
<p><a href="http://yfdisk.com/file/sharebio/00cb6622/" target="_blank">2010版&#8211;无菌制剂GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/0b0924a7/  " target="_blank">2010版—质量系统GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/258f5229/" target="_blank">2010版—水系统GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/3edeaec1/  " target="_blank">2010版&#8211;原料药GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/acce0b1f/" target="_blank">2010版—厂房设备GM实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/b1049e8d/  " target="_blank">2010版—物料系统GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/b1049e8d/  " target="_blank">2010版—口服固体制剂GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/c5cfbda5/  " target="_blank">2010版—空调系统GMP实施指南.pdf</a></p>
<p><a href="http://yfdisk.com/file/sharebio/e8c81927/" target="_blank">2010版—实验室控制系统GMP实施指南.pdf</a></p>
]]></content:encoded>
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		</item>
		<item>
		<title>PCP系列视频</title>
		<link>http://www.91bio.com/pcp-series-video/</link>
		<comments>http://www.91bio.com/pcp-series-video/#comments</comments>
		<pubDate>Sat, 15 Oct 2011 07:58:17 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[生物视频]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645420</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 为大伙带来abnova公司PCR克隆的系列视频！ PCR cloning is a method of cloning which dramatically reduces the time and effort put into the cloning reaction. PCR cloning procedure consisting of the four following steps: (1) production of a fragment of the gene using PCR, (2) digestion of genomic DNA, (3) ligation into a plasmid vector, and (4) transformation into [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！<br />
为大伙带来abnova公司PCR克隆的系列视频！<br />
PCR cloning is a method of cloning which dramatically reduces the time and effort put into the cloning reaction. PCR cloning procedure consisting of the four following steps: (1) production of a fragment of the gene using PCR, (2) digestion of genomic DNA, (3) ligation into a plasmid vector, and (4) transformation into bacteria and then bacteria will replicate the plasmid.<br />
第一部<br />
<embed src="http://player.youku.com/player.php/sid/XMjY3OTkwMzgw/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
<p>第二部<br />
<embed src="http://player.youku.com/player.php/sid/XMjY3OTc5NjI0/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
<p>第三部<br />
<embed src="http://player.youku.com/player.php/sid/XMjY3OTg0MDMy/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
<p>第四部<br />
<embed src="http://player.youku.com/player.php/sid/XMjY3OTg2Njky/v.swf" allowFullScreen="true" quality="high" width="480" height="400" align="middle" allowScriptAccess="always" type="application/x-shockwave-flash"></embed></p>
]]></content:encoded>
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		</item>
		<item>
		<title>学生物的诗人</title>
		<link>http://www.91bio.com/student-materials-poet/</link>
		<comments>http://www.91bio.com/student-materials-poet/#comments</comments>
		<pubDate>Fri, 14 Oct 2011 02:02:41 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>
		<category><![CDATA[酶]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645406</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 豆瓣扒来的（恶搞唐诗：小改一下），同时还有一个化学版的，都是油菜淫啊！ &#160; &#160; &#160; &#160; &#160; &#160; &#160; &#160; 小改：生物版 天若有情天亦老，人学生物死的早。 商女不知亡国恨，隔江犹看《进化论》。 两岸猿声啼不住，一堆英文打不住。 洛阳亲友如相问，直接去问达尔文。 问君能有几多愁？酶切体系不会求。 忽如一夜春风来，动物死了怎么埋？ 风萧萧兮易水寒，各种生物各种难。 垂死病中惊坐起，学生物的伤不起。 原文：化学版 天若有情天亦老，人学化学死的早。 商女不知亡国恨，隔江犹看《分子论》。 两岸猿声啼不住，互相讨论酸碱度。 洛阳亲友如相问，直接去问道尔顿。 问君能有几多愁？溶液浓度不会求。 忽如一夜春风来，强弱顺序怎么排。 风萧萧兮易水寒，各种化学各种难。 垂死病中惊坐起，学化学你伤不起。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>豆瓣扒来的（<a href="http://www.douban.com/group/topic/22337872/" target="_blank">恶搞唐诗：小改一下</a>），同时还有一个化学版的，都是油菜淫啊！</p>
<p><img class="alignleft" title="诗意" src="http://img.xaonline.com/1024x768/070702093433_3.jpg" alt="" width="348" height="260" /></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>小改：生物版<br />
天若有情天亦老，人学生物死的早。<br />
商女不知亡国恨，隔江犹看《进化论》。<br />
两岸猿声啼不住，一堆英文打不住。<br />
洛阳亲友如相问，直接去问达尔文。<br />
问君能有几多愁？酶切体系不会求。<br />
忽如一夜春风来，动物死了怎么埋？<br />
风萧萧兮易水寒，各种生物各种难。<br />
垂死病中惊坐起，学生物的伤不起。</p>
<p>原文：化学版<br />
天若有情天亦老，人学化学死的早。<br />
商女不知亡国恨，隔江犹看《分子论》。<br />
两岸猿声啼不住，互相讨论酸碱度。<br />
洛阳亲友如相问，直接去问道尔顿。<br />
问君能有几多愁？溶液浓度不会求。<br />
忽如一夜春风来，强弱顺序怎么排。<br />
风萧萧兮易水寒，各种化学各种难。<br />
垂死病中惊坐起，学化学你伤不起。</p>
]]></content:encoded>
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		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>学生物的人伤不起，咆哮版！</title>
		<link>http://www.91bio.com/things-people-can-not-afford-to-hurt-students-roaring-version/</link>
		<comments>http://www.91bio.com/things-people-can-not-afford-to-hurt-students-roaring-version/#comments</comments>
		<pubDate>Wed, 12 Oct 2011 13:34:05 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645404</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 本文是找生物在豆瓣上（来自饺子女toma酱的日记）看到的，转载与各位童鞋共享！不代表找生物的个人观点！ 尼玛21世纪最有前途的专业有没有！！！！！！！ 和阿波罗登月并列的人类基因组计划又没有！！！！！！！！！！！ 转基因大都有没有！！！！！！！！ 尼玛的还反对转基因作物种植啊!!!!!!!!!!!!!!!!!!!!!!!尼玛的让我们学生物的怎么活！！！！！！！！！ 学生物都会克隆小人吧！！！！！！！！！！ 学生物出门就知道这棵树是什么树吧！！！！！！！！学生物的就会养猪养鸭养牛啊！！！！！！！！！ 尼玛的学生物光彩啊，学生物光荣啊！！！！！！！！！！尼玛的就为那几篇文章活啊!!!!!!!! 学生物尼玛一天到晚就在实验室做实验啊！！！！！！！尼玛一个PCR就那么多种！！！ 学生物的天天被老板骂，娘娘腔的性格有没有！！！！不留长发怕点样的时候EB染在头发上有没有！！ 做实验的时间大部分是在等有没有！！！寂寞了有没有！！！！挂在网上有么有！！！ 学生物的人爱干净有么有东西脏了，盐酸，烧碱，双氧水，换着泼，刷完了，用自来水洗15遍，蒸馏水洗5遍，超纯水洗3遍真题特么的干净卫生！！！！！ 苍蝇不叫苍蝇叫果蝇好么！！！！ 有钱女人都喜欢养宠物，学生物的也要养好么！！！不一样好么！！！！ 不是种越纯越好么！！！！！果蝇，野生型一瓶，白眼突变体一瓶，小翅突变体一瓶！！！可以在超净台里面安静欣赏好么！！！！！！ 秀丽隐杆线虫，野生型一盘，egr-1缺失突变体一盘，HDAC4过表达突变体一盘，带上GFP荧光标记，用Zeiss荧光显微镜欣赏漂亮吗！！！！美丽吗！！！！见过吗！！！！！ 小鼠（mouse）一定要有的！！！！B肥肥的，一脸无辜，喜欢睡觉，还不咬人！！！不咬人你知道么！！！！ 喝水也要有范儿好么！！！特么的学生物的人会喝8块钱一桶的矿泉水么！！！！本来打算喝18.3的超纯水的，结果偷喝了一口，有点儿发苦！！！！这会致病的！！！！否决！！！！ 听说，takara公司开始进军功能型饮料市场了，就委托takara的实验室研制生产吧，每批产品都付带HPLC检测报告，成分看得一清二楚！！！ 我们学生物的人就是要严谨好么！！！！ 保持身材很重要。怕发胖，用biowest的agarose做果冻吃，热量低，还治疗便秘，浓度0.6%就差不多了，太硬了嚼不动比尼玛喜之郎要美味好么！！！！！！ 在实验室饿了可以吃澳大利亚的NQBB胎牛血清，你们伤的起么！！！！你们吃过么！！！！ 激光共聚焦扫有么有！！！！实时跟踪，扫描速度越快越好，全光谱的荧光通道，有多少种配多少种有没有！！！！！无聊的时候养几盘细胞扫描成3D动画看，颜色多点才漂亮！！！！！比迪斯尼好看有么有！！！比日本动漫绚丽有没有！！！！！ 有单抗就不用多抗，有进口就不用国产有么有！！！！！ 学生物堪比一切奢侈品有么有，搞科研可攀绝高品味有么有！！！ 长度。 精度。 速度。 准度。 温度。 各个指标世界第一，极致华丽，全球顶尖，彰显贵族气质有没有！！！！！！ 一天24小时，起码有12个小时在不停的烧钱有没有！！！ 高峰时期，两个小时耗掉四五千有没有！！！！ 个人资产为零，工作难找有没有！！！ 尼玛没有毕不了业的硕士，没有考不上的博士有米有！！！！！ 尼玛学生物的人最伤不起！！！ 尼玛，折翼天使！！！！尼玛老娘给你克隆个翅膀！！！！！ 麻辣隔壁的！！卧槽！！！ 尼玛的！！！！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>本文是找生物在豆瓣上（来自<a href="http://www.douban.com/note/138791902/#c-22505483" target="_blank">饺子女toma酱的日记</a>）看到的，转载与各位童鞋共享！不代表找生物的个人观点！<br />
尼玛21世纪最有前途的专业有没有！！！！！！！<br />
和阿波罗登月并列的人类基因组计划又没有！！！！！！！！！！！<br />
转基因大都有没有！！！！！！！！<br />
尼玛的还反对转基因作物种植啊!!!!!!!!!!!!!!!!!!!!!!!尼玛的让我们学生物的怎么活！！！！！！！！！<br />
学生物都会克隆小人吧！！！！！！！！！！<br />
学生物出门就知道这棵树是什么树吧！！！！！！！！学生物的就会养猪养鸭养牛啊！！！！！！！！！ </p>
<p>尼玛的学生物光彩啊，学生物光荣啊！！！！！！！！！！尼玛的就为那几篇文章活啊!!!!!!!! </p>
<p>学生物尼玛一天到晚就在实验室做实验啊！！！！！！！尼玛一个PCR就那么多种！！！ </p>
<p>学生物的天天被老板骂，娘娘腔的性格有没有！！！！不留长发怕点样的时候EB染在头发上有没有！！ </p>
<p>做实验的时间大部分是在等有没有！！！寂寞了有没有！！！！挂在网上有么有！！！ </p>
<p>学生物的人爱干净有么有东西脏了，盐酸，烧碱，双氧水，换着泼，刷完了，用自来水洗15遍，蒸馏水洗5遍，超纯水洗3遍真题特么的干净卫生！！！！！ </p>
<p>苍蝇不叫苍蝇叫果蝇好么！！！！<br />
有钱女人都喜欢养宠物，学生物的也要养好么！！！不一样好么！！！！<br />
不是种越纯越好么！！！！！果蝇，野生型一瓶，白眼突变体一瓶，小翅突变体一瓶！！！可以在超净台里面安静欣赏好么！！！！！！ </p>
<p>秀丽隐杆线虫，野生型一盘，egr-1缺失突变体一盘，HDAC4过表达突变体一盘，带上GFP荧光标记，用Zeiss荧光显微镜欣赏漂亮吗！！！！美丽吗！！！！见过吗！！！！！<br />
小鼠（mouse）一定要有的！！！！B肥肥的，一脸无辜，喜欢睡觉，还不咬人！！！不咬人你知道么！！！！ </p>
<p>喝水也要有范儿好么！！！特么的学生物的人会喝8块钱一桶的矿泉水么！！！！本来打算喝18.3的超纯水的，结果偷喝了一口，有点儿发苦！！！！这会致病的！！！！否决！！！！<br />
听说，takara公司开始进军功能型饮料市场了，就委托takara的实验室研制生产吧，每批产品都付带HPLC检测报告，成分看得一清二楚！！！<br />
我们学生物的人就是要严谨好么！！！！ </p>
<p>保持身材很重要。怕发胖，用biowest的agarose做果冻吃，热量低，还治疗便秘，浓度0.6%就差不多了，太硬了嚼不动比尼玛喜之郎要美味好么！！！！！！ </p>
<p>在实验室饿了可以吃澳大利亚的NQBB胎牛血清，你们伤的起么！！！！你们吃过么！！！！<br />
激光共聚焦扫有么有！！！！实时跟踪，扫描速度越快越好，全光谱的荧光通道，有多少种配多少种有没有！！！！！无聊的时候养几盘细胞扫描成3D动画看，颜色多点才漂亮！！！！！比迪斯尼好看有么有！！！比日本动漫绚丽有没有！！！！！<br />
有单抗就不用多抗，有进口就不用国产有么有！！！！！ </p>
<p>学生物堪比一切奢侈品有么有，搞科研可攀绝高品味有么有！！！ </p>
<p>长度。<br />
精度。<br />
速度。<br />
准度。<br />
温度。 </p>
<p>各个指标世界第一，极致华丽，全球顶尖，彰显贵族气质有没有！！！！！！ </p>
<p>一天24小时，起码有12个小时在不停的烧钱有没有！！！<br />
高峰时期，两个小时耗掉四五千有没有！！！！ </p>
<p>个人资产为零，工作难找有没有！！！ </p>
<p>尼玛没有毕不了业的硕士，没有考不上的博士有米有！！！！！ </p>
<p>尼玛学生物的人最伤不起！！！ </p>
<p>尼玛，折翼天使！！！！尼玛老娘给你克隆个翅膀！！！！！<br />
麻辣隔壁的！！卧槽！！！<br />
尼玛的！！！！</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>倒平板的小男孩（外各版本小女孩）</title>
		<link>http://www.91bio.com/the-little-boy-down-flat-outside-of-the-little-girl-version/</link>
		<comments>http://www.91bio.com/the-little-boy-down-flat-outside-of-the-little-girl-version/#comments</comments>
		<pubDate>Wed, 12 Oct 2011 00:36:54 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645410</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物实验技巧！ 昨天发了个《做PCR的小女孩》，这不上网一搜，还有其他版本的一个《倒平板的小男孩》，还有小女孩系列的其他学科版本《学语言学的小女孩》、《调程序的小女孩》《学物理的小女孩》，特转于分享！ 倒平板的小男孩 在一个下着雪的圣诞节前夜，一个饥寒交迫的小男孩，手里拿着一个破旧的三角瓶，在大街上走着。 他敲开一家大门：“先生，你有板子要倒么？” 结果给踹了出去：“没有！扫兴。” 再一次：“女士，你有不愿做的板子要我帮忙么？一美分2板。” “谁还倒板子啊，都在做液体培养基。” 可怜的小男孩就这样不断的被拒绝。他实在走不动了，疲乏地缩在一个墙角里。他不敢回家，因为他没有倒掉一个板子。家里而且也很冷，风可以从许多地方刮进屋 子里来。他冻得发抖，需要温暖。哪怕一个板子的温暖也好。他的一双手 几乎冻僵了。太冷了。他决定倒一个板子。 “哧！”板子倒出来了，象一瓶温暖、光明的LB，小男孩觉得象坐在火炉旁一样。火烧得那么欢，那么暖，那么美！这是怎么回事呢？火焰突然熄灭了，LB也不 见了。他坐在那儿，手中只有做出的板子。他又倒了一次板子，变成一朵粉红色的光焰。 他 发现自己坐在一根美丽的亲和柱下，比中午见到的那根亲和柱还要大，还要美丽。它的管壁里有几千万个beads。小男孩把双手伸过去，板子又熄灭了。几千 万个beads都变成了明亮的星星。这些星星中有一颗落下来，在天空中划出一条长长的亮光。 他又倒了一次板子。啊，火光中出现了他日日夜夜思念的老沃森，他扑进老沃森的怀抱。“沃森！”小男孩叫起来。“请把我带走吧！带到那没有寒冷（冷泉港到底 冷不冷呢），没有饥饿的地方。我知道，这块板子一熄灭，你就会不见了。就象那温暖的LB，那美丽的confocal，那幸福的亲和柱一样，我什么也看不见 了。”于是，小男孩把所有的板子全倒了，因为他非常想把沃森留住。 板子发出更加强烈的光芒，照得周围比白天还要明亮，沃森是那样慈祥，他把小男孩抱起来了，他们在光明和幸福中飞走了。越飞越高，真的到了没有寒冷，没有饥 饿的地方。 新年的早晨，人们看到小男孩仍坐在墙角里，他双颊通红，脸上带着幸福的微笑。可是，他已经死了。 &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;- 做物理的小女孩 这是秋季学期的最后一天，外面正在下着雪，天也渐渐黑了下来。教室里冷极了，玻璃窗比外面的天还要冷，碰都不敢碰一下。在这又冷又黑的晚上，同学们都回家过年去了，一个蓬头散发的小女孩在教室里坐着。她从家里出来的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套——那么大，不知是哪一年买的。为了写式子的时候更方便，她做题时就把它脱掉了，同学们常常嘲笑说，那件外套还是旧量子论时代的款式。 小女孩只好一个人做推导，一双小脚冻得红一块青一块。她面前的讲义划得满满的，桌上的草稿纸上还画着一些费曼图。这一整天，她都没有啃一口馒头，只是天黑前到教师饮水处的热水机那偷偷打了两杯热水喝。还有一个公式推不出来，谁也没帮过她。 可怜的小女孩！她又冷又饿，哆哆嗦嗦画费曼图。发黄的日光灯管把光颤抖地砸在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了草稿纸，教室里飘着一股油墨的香味，因为这是交作业的deadline——她可不会忘记。她闻到那些油墨香味，就好像不饿了。 她在一个微分方程的地方停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老师说，因为她数理方法学得太烂，这么简单的题都解决不了，老师一定会骂她的。再说，换做别的作业题一样难。这些方程都长得极其怪异和生疏的，网上也找不到答案。 她几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的。但是她每算一遍就得出来一个结果来，每一次的结果还是不同的。如果有参考答案，她就知道哪一个是算对了的。如果能保证下一遍能算对，她就敢再用几十张草稿纸重新算一遍，但是她是不敢啊，她怕又多出一个不同的结果来。原来她不是这么粗心的，主要是天气太冷了，冷啊冷，只怕现在冷得她连分离变量法都不记得了。她突然想到可以用电脑来解微分方程，但她也不会MATLAB，不会Mathematica，不会Maple，现在学也来不及了，她真的不会这些啊，电脑上的Linux都是师兄帮她装的。 她终于崩溃了，泪水珠子在眼睛里打转，突然她看到眼前模模糊糊出现一片蓝天，粒子在那里产生湮灭，啊！波函数，她看到满世界都是波函数，各种算符在跳跃着，刷刷刷刷，过程一行一行出现了，答案自己跳了出来。那些符号太亲切了，她把小手按在空气中抓了抓，多么温暖多么明亮的符号啊，简直像一只只的蜡烛。这是一道奇异的火光！小女孩觉得自己好像坐在一个带空调的会议室里，沙发是那么的柔软，暖暖的风是那么的和蔼，每一个符号每一个方程都在对她微笑。啊！多么舒服啊。哎，怎么回事？她揉了揉眼睛，刚想站起来走过去，想看得仔细一些，波函数坍缩了，会议室不见了，沙发不见了，暖风停了，什么都没有了。她坐在硬生生的凳子上，盯着前面蓝皮的砖头一样厚的两卷曾谨言。 她又用铅笔在一张纸来开始算。数学符号又开始跳跃了，啊，她感到自己越过了朗道势垒，要成为真正的物理学家了。会议室的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到paper上的字迹。SCI期刊的logo，劲道的Abstract和introduction。更妙的是这篇paper的一作者， 赫然署着自己的名字！看上去那么诱惑，一直向这个穷苦的小女孩走来。这时候，波函数又坍缩了，一切都消失了，只剩下蓝皮的砖头一样厚的两卷曾谨言。 她又用铅笔飞快地算了一张纸。这一回，她感觉自己站在斯德哥尔摩大学的礼堂里。条幅上写着“热烈欢迎诺贝尔物理学奖得主演讲”，比她看到过的条幅都要大，都要美。红色的条幅上贴着那几个白色的黑体字，和CCTV里常常出现的一样。眼前是许多优美动人的式子，那些都是她发现的，各种可爱的算符在跳跃着，满世界都是波函数，都在向她眨眼睛。小女孩向眼前的波函数伸出手去。这时候，眼前的算符还在，听众还在，礼堂还在，暖风还是和蔼地存在着。只见那些公式那些算符越升越高越升越高，最后成了在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。 “有一个什么人快要死了。”小女孩说。唯一疼她的师兄告诉过她：一颗星星落下来，就有一个灵魂要到爱因斯坦那去了。 她又迅速拿起铅笔开始算了一遍。这一回，她把所有的白纸都用上了，飞快地算着。师兄出现在亮光里，是那么温和，那么慈爱。 “师兄！”小女孩叫起来，“啊！请把我带走吧！我知道，波函数一坍缩，你就会不见的，像那漂亮的会议室，发表的paper，软软的沙发和暖风机，就会不见的！” 她来不及削铅笔，她赶紧拿起另一支备用笔飞快地算着，白纸一张张地算着，上面写满了式子，要把师兄留住。纸上的费曼图的光，把会议室照得跟白天一样明亮。师兄从来没有像现在这样高大，这样英俊。师兄把小女孩抱起来，搂在怀里。他们俩在光明和快乐中飞走了，越飞越高，飞到那没有波函数，没有费曼图，没有微分方程，没有作业，没有电动没有理力没有热统没有量子没有原子核的地方去了。 第二天清晨，这个小女孩坐在教室的座位上，两腮通红，嘴上带着微笑。她死了，在学期末的教室里死了。春天的太阳仿佛升起来了，照在她小小的尸体上。小女孩坐在那儿，手还紧紧握着一支短小的铅笔，身边散落着雪片般的稿纸，怀里抱着蓝皮的砖头一样厚的…… “她太想把作业完成……”人们议论纷纷。谁也不知道她曾经看到过多么美丽的东西 ，她曾经多么幸福，跟着她的师兄一起走向新世界的幸福中去。 &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;- 调程序的小女孩 实验室里冷极了，没有窗户，不知道是白天还是黑夜。这是一周的最后一天——周末。在这又冷又黑的晚上，一个蓬头散发的小女孩在工位上坐着。她从家里 出来的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套──那么大，不知是哪一年买的。她工作的时候的，就把它脱掉了，实验室的师弟嘲笑说，可以 拿它当抹布。 小女孩只好一个人做实验，一双小脚冻得红一块青一块的。她的破显示器屏幕上有一大段程序，手里草稿纸上还有一大段。这一整天，程序还是没调过，谁也没帮过她。 可怜的小女孩！她又冷又饿，哆哆嗦嗦地调程序。显示器的光落在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了论文，实验室飘着一股油墨的香味，因为这是论文deadline的时间——她可忘不了这个。 她在一行代码上停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老板说，因为她程序没调过，没拿到一个数据，老板一定会骂她的。再说，换做别的题目跟这个一样难。她们头上只有paper，虽然网上可以下到一些现成的代码，还是仍然没法用。 她的头脑几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的！她敢把上万行的代码修改一遍。编译运行一下，来找找问题么？她终于按下回车键开始运行。 哧！程序开始输出信息了！一行一行的log开始出来了！她把小手拢在显示器上。多么温暖多么明亮的字符啊，简直像一支小小的蜡烛。这是一道奇异的火光！小 女孩觉得自己好像坐在一个19寸液晶大显示器前面，显示器还是全新锃亮的，颜色鲜艳，字迹清晰，上边显示着程序输出的正确结果，多么舒服啊！哎，这是怎么 回事呢？她刚把头伸出去，想看的仔细一些，程序crash了，大显示器不见了。她坐在那儿，眼前的破显示器上一行刺眼的 她又编译了一遍运行。程序又开始输出信息了，给出log了。显示器的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到 paper上的字迹。IEEE的logo，会议名称和日期，Abstract和Introduction。更妙的是这篇paper的一作，赫然署着自己的 名字！看上去那么诱惑，一直向这个穷苦的小女孩走来。这时候，程序又crash了，她面前只剩一张又硬又旧的桌子。 [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物实验技巧！</p>
<p>昨天发了个《做PCR的小女孩》，这不上网一搜，还有其他版本的一个《倒平板的小男孩》，还有小女孩系列的其他学科版本《学语言学的小女孩》、《调程序的小女孩》《学物理的小女孩》，特转于分享！</p>
<p><strong>倒平板的小男孩</strong></p>
<p>在一个下着雪的圣诞节前夜，一个饥寒交迫的小男孩，手里拿着一个破旧的三角瓶，在大街上走着。</p>
<p>他敲开一家大门：“先生，你有板子要倒么？”</p>
<p>结果给踹了出去：“没有！扫兴。”</p>
<p>再一次：“女士，你有不愿做的板子要我帮忙么？一美分2板。”</p>
<p>“谁还倒板子啊，都在做液体培养基。”</p>
<p>可怜的小男孩就这样不断的被拒绝。他实在走不动了，疲乏地缩在一个墙角里。他不敢回家，因为他没有倒掉一个板子。家里而且也很冷，风可以从许多地方刮进屋 子里来。他冻得发抖，需要温暖。哪怕一个板子的温暖也好。他的一双手 几乎冻僵了。太冷了。他决定倒一个板子。</p>
<p>“哧！”板子倒出来了，象一瓶温暖、光明的LB，小男孩觉得象坐在火炉旁一样。火烧得那么欢，那么暖，那么美！这是怎么回事呢？火焰突然熄灭了，LB也不 见了。他坐在那儿，手中只有做出的板子。他又倒了一次板子，变成一朵粉红色的光焰。</p>
<p>他 发现自己坐在一根美丽的亲和柱下，比中午见到的那根亲和柱还要大，还要美丽。它的管壁里有几千万个beads。小男孩把双手伸过去，板子又熄灭了。几千 万个beads都变成了明亮的星星。这些星星中有一颗落下来，在天空中划出一条长长的亮光。 他又倒了一次板子。啊，火光中出现了他日日夜夜思念的老沃森，他扑进老沃森的怀抱。“沃森！”小男孩叫起来。“请把我带走吧！带到那没有寒冷（冷泉港到底 冷不冷呢），没有饥饿的地方。我知道，这块板子一熄灭，你就会不见了。就象那温暖的LB，那美丽的confocal，那幸福的亲和柱一样，我什么也看不见 了。”于是，小男孩把所有的板子全倒了，因为他非常想把沃森留住。</p>
<p>板子发出更加强烈的光芒，照得周围比白天还要明亮，沃森是那样慈祥，他把小男孩抱起来了，他们在光明和幸福中飞走了。越飞越高，真的到了没有寒冷，没有饥 饿的地方。</p>
<p>新年的早晨，人们看到小男孩仍坐在墙角里，他双颊通红，脸上带着幸福的微笑。可是，他已经死了。</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<br />
<strong>做物理的小女孩</strong><br />
这是秋季学期的最后一天，外面正在下着雪，天也渐渐黑了下来。教室里冷极了，玻璃窗比外面的天还要冷，碰都不敢碰一下。在这又冷又黑的晚上，同学们都回家过年去了，一个蓬头散发的小女孩在教室里坐着。她从家里出来的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套——那么大，不知是哪一年买的。为了写式子的时候更方便，她做题时就把它脱掉了，同学们常常嘲笑说，那件外套还是旧量子论时代的款式。</p>
<p>小女孩只好一个人做推导，一双小脚冻得红一块青一块。她面前的讲义划得满满的，桌上的草稿纸上还画着一些费曼图。这一整天，她都没有啃一口馒头，只是天黑前到教师饮水处的热水机那偷偷打了两杯热水喝。还有一个公式推不出来，谁也没帮过她。</p>
<p>可怜的小女孩！她又冷又饿，哆哆嗦嗦画费曼图。发黄的日光灯管把光颤抖地砸在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了草稿纸，教室里飘着一股油墨的香味，因为这是交作业的deadline——她可不会忘记。她闻到那些油墨香味，就好像不饿了。</p>
<p>她在一个微分方程的地方停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老师说，因为她数理方法学得太烂，这么简单的题都解决不了，老师一定会骂她的。再说，换做别的作业题一样难。这些方程都长得极其怪异和生疏的，网上也找不到答案。</p>
<p>她几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的。但是她每算一遍就得出来一个结果来，每一次的结果还是不同的。如果有参考答案，她就知道哪一个是算对了的。如果能保证下一遍能算对，她就敢再用几十张草稿纸重新算一遍，但是她是不敢啊，她怕又多出一个不同的结果来。原来她不是这么粗心的，主要是天气太冷了，冷啊冷，只怕现在冷得她连分离变量法都不记得了。她突然想到可以用电脑来解微分方程，但她也不会MATLAB，不会Mathematica，不会Maple，现在学也来不及了，她真的不会这些啊，电脑上的Linux都是师兄帮她装的。</p>
<p>她终于崩溃了，泪水珠子在眼睛里打转，突然她看到眼前模模糊糊出现一片蓝天，粒子在那里产生湮灭，啊！波函数，她看到满世界都是波函数，各种算符在跳跃着，刷刷刷刷，过程一行一行出现了，答案自己跳了出来。那些符号太亲切了，她把小手按在空气中抓了抓，多么温暖多么明亮的符号啊，简直像一只只的蜡烛。这是一道奇异的火光！小女孩觉得自己好像坐在一个带空调的会议室里，沙发是那么的柔软，暖暖的风是那么的和蔼，每一个符号每一个方程都在对她微笑。啊！多么舒服啊。哎，怎么回事？她揉了揉眼睛，刚想站起来走过去，想看得仔细一些，波函数坍缩了，会议室不见了，沙发不见了，暖风停了，什么都没有了。她坐在硬生生的凳子上，盯着前面蓝皮的砖头一样厚的两卷曾谨言。</p>
<p>她又用铅笔在一张纸来开始算。数学符号又开始跳跃了，啊，她感到自己越过了朗道势垒，要成为真正的物理学家了。会议室的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到paper上的字迹。SCI期刊的logo，劲道的Abstract和introduction。更妙的是这篇paper的一作者， 赫然署着自己的名字！看上去那么诱惑，一直向这个穷苦的小女孩走来。这时候，波函数又坍缩了，一切都消失了，只剩下蓝皮的砖头一样厚的两卷曾谨言。</p>
<p>她又用铅笔飞快地算了一张纸。这一回，她感觉自己站在斯德哥尔摩大学的礼堂里。条幅上写着“热烈欢迎诺贝尔物理学奖得主演讲”，比她看到过的条幅都要大，都要美。红色的条幅上贴着那几个白色的黑体字，和CCTV里常常出现的一样。眼前是许多优美动人的式子，那些都是她发现的，各种可爱的算符在跳跃着，满世界都是波函数，都在向她眨眼睛。小女孩向眼前的波函数伸出手去。这时候，眼前的算符还在，听众还在，礼堂还在，暖风还是和蔼地存在着。只见那些公式那些算符越升越高越升越高，最后成了在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。</p>
<p>“有一个什么人快要死了。”小女孩说。唯一疼她的师兄告诉过她：一颗星星落下来，就有一个灵魂要到爱因斯坦那去了。</p>
<p>她又迅速拿起铅笔开始算了一遍。这一回，她把所有的白纸都用上了，飞快地算着。师兄出现在亮光里，是那么温和，那么慈爱。</p>
<p>“师兄！”小女孩叫起来，“啊！请把我带走吧！我知道，波函数一坍缩，你就会不见的，像那漂亮的会议室，发表的paper，软软的沙发和暖风机，就会不见的！”</p>
<p>她来不及削铅笔，她赶紧拿起另一支备用笔飞快地算着，白纸一张张地算着，上面写满了式子，要把师兄留住。纸上的费曼图的光，把会议室照得跟白天一样明亮。师兄从来没有像现在这样高大，这样英俊。师兄把小女孩抱起来，搂在怀里。他们俩在光明和快乐中飞走了，越飞越高，飞到那没有波函数，没有费曼图，没有微分方程，没有作业，没有电动没有理力没有热统没有量子没有原子核的地方去了。</p>
<p>第二天清晨，这个小女孩坐在教室的座位上，两腮通红，嘴上带着微笑。她死了，在学期末的教室里死了。春天的太阳仿佛升起来了，照在她小小的尸体上。小女孩坐在那儿，手还紧紧握着一支短小的铅笔，身边散落着雪片般的稿纸，怀里抱着蓝皮的砖头一样厚的……</p>
<p>“她太想把作业完成……”人们议论纷纷。谁也不知道她曾经看到过多么美丽的东西 ，她曾经多么幸福，跟着她的师兄一起走向新世界的幸福中去。<br />
&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-<br />
<strong>调程序的小女孩</strong></p>
<p>实验室里冷极了，没有窗户，不知道是白天还是黑夜。这是一周的最后一天——周末。在这又冷又黑的晚上，一个蓬头散发的小女孩在工位上坐着。她从家里 出来的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套──那么大，不知是哪一年买的。她工作的时候的，就把它脱掉了，实验室的师弟嘲笑说，可以 拿它当抹布。<br />
小女孩只好一个人做实验，一双小脚冻得红一块青一块的。她的破显示器屏幕上有一大段程序，手里草稿纸上还有一大段。这一整天，程序还是没调过，谁也没帮过她。<br />
可怜的小女孩！她又冷又饿，哆哆嗦嗦地调程序。显示器的光落在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了论文，实验室飘着一股油墨的香味，因为这是论文deadline的时间——她可忘不了这个。<br />
她在一行代码上停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老板说，因为她程序没调过，没拿到一个数据，老板一定会骂她的。再说，换做别的题目跟这个一样难。她们头上只有paper，虽然网上可以下到一些现成的代码，还是仍然没法用。<br />
她的头脑几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的！她敢把上万行的代码修改一遍。编译运行一下，来找找问题么？她终于按下回车键开始运行。 哧！程序开始输出信息了！一行一行的log开始出来了！她把小手拢在显示器上。多么温暖多么明亮的字符啊，简直像一支小小的蜡烛。这是一道奇异的火光！小 女孩觉得自己好像坐在一个19寸液晶大显示器前面，显示器还是全新锃亮的，颜色鲜艳，字迹清晰，上边显示着程序输出的正确结果，多么舒服啊！哎，这是怎么 回事呢？她刚把头伸出去，想看的仔细一些，程序crash了，大显示器不见了。她坐在那儿，眼前的破显示器上一行刺眼的<br />
她又编译了一遍运行。程序又开始输出信息了，给出log了。显示器的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到 paper上的字迹。IEEE的logo，会议名称和日期，Abstract和Introduction。更妙的是这篇paper的一作，赫然署着自己的 名字！看上去那么诱惑，一直向这个穷苦的小女孩走来。这时候，程序又crash了，她面前只剩一张又硬又旧的桌子。</p>
<p>她又运行了一遍。这一回，她感觉自己坐在布置整齐的会议室里。条幅上写着“博士毕业答辩”，比她去年师姐毕业时用的条幅还要大，还要美。红色的条幅上贴着 那几个白色的黑体字，投影仪屏幕上许多幅美丽的彩色画片，跟顶级会议里的presentation一个样，在向她眨眼睛。小女孩向画片伸出手去。这时候， 程序又crash了。只见ppt上的图片越升越高，最后成了在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。</p>
<p>“有一个什么人快要死了。”小女孩说。唯一疼她的师姐毕业前的时候告诉过她：一颗星星落下来，就有一个灵魂要到图灵那儿去了。</p>
<p>她又编译了一遍。这一回，她把所有的数组size都设大了。师姐出现在亮光里，是那么温和，那么慈爱。</p>
<p>“师姐！”小女孩叫起来，“啊！请把我带走吧！我知道，程序一crash，您就会不见的，像那漂亮的显示器，发表的paper，布置好的答辩会议室一个样，就会不见的！”</p>
<p>她赶紧按了回车键，要把师姐留住。一大堆输出信息发出强烈的光，把实验室照得跟白天一样明亮。师姐从来没有像现在这样高大，这样美丽。师姐把小女孩抱起来，搂在怀里。她们俩在光明和快乐中飞走了，越飞越高，飞到那没有代码，没有论文，也没有毕业的地方去了。</p>
<p>第二天清晨，这个小女孩坐在工位上，两腮通红，嘴上带着微笑。她死了，在周末的实验室累死了。新一周的太阳升起来了，照在她小小的尸体上。小女孩坐在那儿，手还按着在不知用过多少年的键盘上。</p>
<p>“她想自己把程序调一下……”人们说。谁也不知道她曾经看到过多么美丽的东西，她曾经多么幸福，跟着她师姐一起走向新世界的幸福中去。</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-</p>
<p><strong>学语言学的小女孩</strong></p>
<p>教室里冷极了，教室外天已经黑了下来，玻璃窗比外面的天还要冷，碰都不敢碰一下。这是秋季学期的最后一天。在这又冷又黑的晚上，同学们都回家过年去 了，一个蓬头散发的小女孩在教室里坐着。她从家里出来的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套——那么大，不知是哪一年买的。同学们嘲 笑说，那件外套是雨披。</p>
<p>小女孩只好一个人做推导，一双小脚冻得红一块青一块。她面前的书划得满满的，桌上的草稿纸上还画着大段的ICA和X-BAR。这一整天，她都没有啃一口馒头，只是天黑前到教室楼道里的热水机那偷偷打了两杯热水喝。句子分析还是没通过，谁也没帮过她。</p>
<p>可怜的小女孩！她又冷又饿，哆哆嗦嗦地画树形图。发黄的日光灯管把光颤抖地砸在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她 没注意这些。每个桌上都堆满了草稿纸，教室里飘着一股油墨的香味，因为这是交作业的deadline——她可不会忘记。她闻到那些油墨香味，就好像不饿 了。</p>
<p>她在一组歧义句子的地方停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老师说，因为她画不出这些句子的图。再说，换做别的作业题一样难。理论都好像卯足了劲发动核战争。这些句子都是极其怪异和生疏的，网上也找不到提示。</p>
<p>她几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的。她敢再用几十张草稿纸重新画一遍，用ICA，X-BAR，MERGE等方法重新试一遍， 她不怕再用coercion，construction grammar突围，她也不怕再用grammaticalization甚至socially解释一遍。她敢么？她终于把各种方案在纸上记录下来，一个一 个地尝试。呵！一张张的白纸又成草稿纸了，排排的轨迹又画出来了，铅笔削了又削，橡皮擦了又擦。</p>
<p>她把小手按在这些画出来的痕迹上，多么温暖多么明亮的符号啊，简直像一只只的蜡烛。这是一道奇异的火光！小女孩觉得自己好像坐在一个带空调的会议室 里，沙发是那么的柔软，暖暖的风是那么的和蔼，PPT银幕上五颜六色的字迹输出着正确优美的结果。啊！多么舒服啊。哎，怎么回事？她刚想站起来走过去，想 看得仔细一些，会议室不见了，沙发不见了，暖风停了，PPT没有了。她坐在硬生生的凳子上，盯着前面掉粉的墙。</p>
<p>她又画了一张纸。PPT银幕又开始输出信息了，给出漂亮的树了。会议室的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一 直看到paper上的字迹。SSCI期刊的logo，劲道的Abstract和introduction。更妙的是这篇paper的一作， 赫然署着自己的名字！看上去那么诱惑，一直向这个穷苦的小女孩走来。这时候，PPT又灭了，只剩下硬邦邦的桌子托着她的下巴。</p>
<p>她又用铅笔飞快地画了一张纸。这一回，她感觉自己坐在布置整齐的会议室里。条幅上写着“世界语言学家大会”，比她看到过的条幅都要大，都要美。红色 的条幅上贴着那几个白色的黑体字，投影仪屏幕上许多幅美丽的彩色画片，跟顶级会议里的 presentation 一个样，在向她眨眼睛。小女孩向画片伸出手去。这时候，PPT还在，会议室还在，沙发还在，暖风还是和蔼地存在着。只见PPT上的图片越升越高，最后成了 在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。</p>
<p>“有一个什么人快要死了。”小女孩说。唯一疼她的学姐告诉过她：一颗星星落下来，就有一个灵魂要到索绪尔那去了。</p>
<p>她又迅速拿起铅笔画了一遍。这一回，她把所有的白纸都用上了，飞快地画着。学姐出现在亮光里，是那么温和，那么慈爱。</p>
<p>“学姐！”小女孩叫起来，“啊！请把我带走吧！我知道，PPT一灭，您就会不见的，像那漂亮的会议室，发表的paper，软软的沙发和暖风机，就会不见的！”</p>
<p>她来不及削铅笔，她赶紧拿起另一支备用笔飞快地画着，白纸一张张地画着，要把学姐留住。PPT上彩色的树形图发出强烈的光，把会议室照得跟白天一样 明亮。学姐从来没有像现在这样高大，这样美丽。学姐把小女孩抱起来，搂在怀里。她们俩在光明和快乐中飞走了，越飞越高，飞到那没有morpheme，没有 syntax，没有作业，没有结构主义没有功能主义没有形式主义也没有认知的地方去了。</p>
<p>第二天清晨，这个小女孩坐在教室的座位上，两腮通红，嘴上带着微笑。她死了，在学期末的教室里死了。春天的太阳仿佛升起来了，照在她小小的尸体上。小女孩坐在那儿，手还紧紧握着一支短小的铅笔，身边散落着雪片般的稿纸。</p>
<p>“她太想把作业完成……”人们议论纷纷。谁也不知道她曾经看到过多么美丽的东西 ，她曾经多么幸福，跟着她学姐一起走向新世界的幸福中去。</p>
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		<item>
		<title>做PCR的小女孩</title>
		<link>http://www.91bio.com/the-little-girl-to-do-pcr/</link>
		<comments>http://www.91bio.com/the-little-girl-to-do-pcr/#comments</comments>
		<pubDate>Tue, 11 Oct 2011 01:30:53 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[pcr]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645401</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！ 这篇《做PCR的小女孩》忘记以前在什么地方见过乐，今天又偶遇，特转载过来！生物界也是文学人才辈出啊！ 实验室里冷极了，没有窗 户，不知道是白天还是黑夜。这是一周的最后一天——周末。在这又冷又黑的晚上，一个蓬头散发的小女孩在试验台前坐着。她从家里出来 的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套──那么大，不知是哪一年买的。她工作的时候的，就穿上白大褂了，实验室的师弟嘲笑说，何必穿 实验服呢，你的破大衣都可以当抹布了。 小女孩只好一个人做实验，一双小手被PE手套捂得苍白。她的面前的胶板上有一串点样孔，还有好几管菌落pcr产物。这一整天，目的基因还是没连上质粒，谁也没帮过她 可怜的小女孩！她又冷又饿，哆哆嗦嗦地点样。灯光落在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了文献，实验室飘着一股LB培养基的香味，因为这是老板催要结果的时间——她可忘不了这个。 她 在上完出某个样后停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老板说，因为她试了所有的taq酶，试剂盒，质粒，没p出阳性的菌落，老板一定会骂 她的。再说，换做别的题目跟这个一样难。她们头上只有paper，虽然网上有好多类似的文献，但到她这里就是不work。 她 的头脑几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的！她敢把上万块钱的酶全丢进去连接载体，能够把基因转进去吗？她终于又拿出一块跑完的胶。 紫外光照上去了！一个一个样点在胶板上出现了！她把小手拢在紫外灯下。多么温暖多么明亮的小点啊，简直像一支小小的蜡烛。这是一道奇异的火光！小女孩觉得 自己好像坐在一台测序仪的显示器前面，显示器还是全新锃亮的，颜色鲜艳，字迹清晰，上边的显示的序列明明就是目的基因，多么舒服啊！哎，这是怎么回事呢？ 她刚把头伸过去，想看的仔细一些，她坐在那儿，眼前的胶板上显出一行刺眼的阴性、引物二聚体、模板，就是没有阳性菌落。 她 又上了一遍样。用150v跑完又用100v再跑。紫外灯的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到paper上 的字迹。Nature的logo，Abstract和Instroduction。更妙的是这篇paper的一作，赫然署着自己的名字！看上去那么诱惑， 一直向这个穷苦的小女孩走来。这时候，新跑完的胶板上还是只有阴性的样点，她面前只剩一张又硬又旧的桌子。 她 p了十几个菌落，又跑了一块胶。这一回，她感觉自己坐在布置整齐的会议室里。条幅上写着“毕业答辩”，比她去年师姐毕业时用的条幅还要大，还要美。红色 的条幅上贴着那几 个白色的黑体字，投影仪屏幕上许多幅美丽的彩色画片，跟顶级会议里的presentation一个样，在向她眨眼睛。小女孩向画片伸出手去。这时候，板子 又爬好了，不出意外，没新点。只见ppt上的图片越升越高，最后成了在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。 “有一个什么人快要死了。”小女孩说。唯一疼她的师姐毕业前的时候告诉过她：一颗星星落下来，就有一个灵魂要到沃森和克里克那儿去了。 她又连接了一管载体。这一回，她把所有的酶的量都加大了。师姐出现在灯光里，是那么温和，那么慈爱。 “师姐！”小女孩叫起来，“啊！请把我带走吧！我知道，反应一结束，您就会不见的，像那漂亮的跑胶，发表的paper，布置好的答辩会议室一个样，就会不见的！” 她 赶紧拿出所有的胶板，放在紫外灯下，要把师姐留住。一大堆胶板在紫外灯下放出明亮的光，把实验室照得跟白天一样明亮。师姐从来没有像现在这样高大，这样 美丽。师姐把小女孩抱起来，搂在怀里。她们俩在光明和快乐中飞走了，越飞越高，飞到那没有PCR，没有论文，也没有毕业的地方去了。 第二天清晨，这个小女孩坐在实验台前上，两腮通红，嘴上带着微笑。她死了，在周末的实验室累死了。新一周的太阳升起来了，照在她小小的尸体上。小女孩坐在那儿，手里还握着正要上样的EP管。 “她想自己转一个基因……”人们说。谁也不知道她曾经看到过多么美丽的东西 ，她曾经多么幸福，跟着她师姐一起走向新世界的幸福中去。 &#160;]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！</p>
<p>这篇《做PCR的小女孩》忘记以前在什么地方见过乐，今天又偶遇，特转载过来！生物界也是文学人才辈出啊！</p>
<p><img class="aligncenter" title="23" src="http://fmn.rrimg.com/fmn056/20111008/1710/b_large_9JJs_2fc8000002eb121d.jpg" alt="" width="300" height="346" /></p>
<p>实验室里冷极了，没有窗 户，不知道是白天还是黑夜。这是一周的最后一天——周末。在这又冷又黑的晚上，一个蓬头散发的小女孩在试验台前坐着。她从家里出来 的时候还穿着一件外套，但是有什么用呢？那是一件很大的外套──那么大，不知是哪一年买的。她工作的时候的，就穿上白大褂了，实验室的师弟嘲笑说，何必穿 实验服呢，你的破大衣都可以当抹布了。</p>
<p align="left">小女孩只好一个人做实验，一双小手被PE手套捂得苍白。她的面前的胶板上有一串点样孔，还有好几管菌落pcr产物。这一整天，目的基因还是没连上质粒，谁也没帮过她</p>
<p align="left">可怜的小女孩！她又冷又饿，哆哆嗦嗦地点样。灯光落在她的干枯的长头发上，那头发卷曲着披在肩上，看上去很久没梳，不过她没注意这些。每个桌上都堆满了文献，实验室飘着一股LB培养基的香味，因为这是老板催要结果的时间——她可忘不了这个。</p>
<p align="left">她 在上完出某个样后停了下来，蜷着趴在桌子上。她觉得更冷了。她不敢跟老板说，因为她试了所有的taq酶，试剂盒，质粒，没p出阳性的菌落，老板一定会骂 她的。再说，换做别的题目跟这个一样难。她们头上只有paper，虽然网上有好多类似的文献，但到她这里就是不work。</p>
<p align="left">她 的头脑几乎绝望了。啊，哪怕一次小小的成功，对她也是有好处的！她敢把上万块钱的酶全丢进去连接载体，能够把基因转进去吗？她终于又拿出一块跑完的胶。 紫外光照上去了！一个一个样点在胶板上出现了！她把小手拢在紫外灯下。多么温暖多么明亮的小点啊，简直像一支小小的蜡烛。这是一道奇异的火光！小女孩觉得 自己好像坐在一台测序仪的显示器前面，显示器还是全新锃亮的，颜色鲜艳，字迹清晰，上边的显示的序列明明就是目的基因，多么舒服啊！哎，这是怎么回事呢？ 她刚把头伸过去，想看的仔细一些，她坐在那儿，眼前的胶板上显出一行刺眼的阴性、引物二聚体、模板，就是没有阳性菌落。</p>
<p align="left">她 又上了一遍样。用150v跑完又用100v再跑。紫外灯的光落在桌子上，那儿忽然变得像打印出来的paper那样洁白工整，她可以一直看到paper上 的字迹。Nature的logo，Abstract和Instroduction。更妙的是这篇paper的一作，赫然署着自己的名字！看上去那么诱惑， 一直向这个穷苦的小女孩走来。这时候，新跑完的胶板上还是只有阴性的样点，她面前只剩一张又硬又旧的桌子。</p>
<p align="left">她 p了十几个菌落，又跑了一块胶。这一回，她感觉自己坐在布置整齐的会议室里。条幅上写着“毕业答辩”，比她去年师姐毕业时用的条幅还要大，还要美。红色 的条幅上贴着那几 个白色的黑体字，投影仪屏幕上许多幅美丽的彩色画片，跟顶级会议里的presentation一个样，在向她眨眼睛。小女孩向画片伸出手去。这时候，板子 又爬好了，不出意外，没新点。只见ppt上的图片越升越高，最后成了在天空中闪烁的星星。有一颗星星落下来了，在天空中划出了一道细长的红光。</p>
<p align="left">“有一个什么人快要死了。”小女孩说。唯一疼她的师姐毕业前的时候告诉过她：<strong>一颗星星落下来，就有一个灵魂要到沃森和克里克那儿去了。</strong></p>
<p align="left">她又连接了一管载体。这一回，她把所有的酶的量都加大了。师姐出现在灯光里，是那么温和，那么慈爱。</p>
<p align="left">“师姐！”小女孩叫起来，“啊！请把我带走吧！我知道，反应一结束，您就会不见的，像那漂亮的跑胶，发表的paper，布置好的答辩会议室一个样，就会不见的！”</p>
<p align="left">她 赶紧拿出所有的胶板，放在紫外灯下，要把师姐留住。一大堆胶板在紫外灯下放出明亮的光，把实验室照得跟白天一样明亮。师姐从来没有像现在这样高大，这样 美丽。师姐把小女孩抱起来，搂在怀里。她们俩在光明和快乐中飞走了，越飞越高，飞到那没有PCR，没有论文，也没有毕业的地方去了。</p>
<p align="left">第二天清晨，这个小女孩坐在实验台前上，两腮通红，嘴上带着微笑。她死了，在周末的实验室累死了。新一周的太阳升起来了，照在她小小的尸体上。小女孩坐在那儿，手里还握着正要上样的EP管。</p>
<p align="left">“她想自己转一个基因……”人们说。谁也不知道她曾经看到过多么美丽的东西 ，她曾经多么幸福，跟着她师姐一起走向新世界的幸福中去。</p>
<p>&nbsp;</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/the-little-girl-to-do-pcr/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>销魂的人类大脑神经元细胞”水墨画”</title>
		<link>http://www.91bio.com/ecstasy-of-the-human-brain-neurons-cells-ink/</link>
		<comments>http://www.91bio.com/ecstasy-of-the-human-brain-neurons-cells-ink/#comments</comments>
		<pubDate>Mon, 10 Oct 2011 00:37:01 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645396</guid>
		<description><![CDATA[找生物-分享有趣、使用的生物技巧！ 生物显微图片看起来美轮美奂，无比精彩，其中一些染色特像中国的水墨画，一起来看看吧！ 据英国每日邮报报道，格雷格-邓恩(Greg Dunn)是美国宾夕法尼亚大学神经学博士，他基于人类大脑细胞神经创建出世界上最不同寻常的艺术杰作——大脑神经元水墨画。 人们乍一看会认为格雷格绘制的是真实树木，但这些“树木”并不是植物，而是人类大脑神经元细胞。该图片是视网膜神经元细胞。 格雷格称，我非常喜欢亚洲艺术作品，尤其是日本水墨画艺术。据悉，日本水墨画艺术是利用笔锋所蘸墨水不同浓度进行绘制，可产生水流冲刷效果。 这是大脑海马体神经细胞，海马体掌握大脑重要记忆和方向感。 这是基于大脑皮层神经元细胞形成的水墨画。 各位感觉如何？]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、使用的生物技巧！</p>
<p>生物显微图片看起来美轮美奂，无比精彩，其中一些染色特像中国的水墨画，一起来看看吧！</p>
<p>据英国每日邮报报道，格雷格-邓恩(Greg Dunn)是美国宾夕法尼亚大学神经学博士，他基于人类大脑细胞神经创建出世界上最不同寻常的艺术杰作——大脑神经元水墨画。</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_8719a3febeb2258668.jpg" alt="" /></p>
<p>人们乍一看会认为格雷格绘制的是真实树木，但这些“树木”并不是植物，而是人类大脑神经元细胞。该图片是视网膜神经元细胞。</p>
<p>格雷格称，我非常喜欢亚洲艺术作品，尤其是日本水墨画艺术。据悉，日本水墨画艺术是利用笔锋所蘸墨水不同浓度进行绘制，可产生水流冲刷效果。</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_e7accfd8abe920d668.jpg" alt="" /></p>
<p>这是大脑海马体神经细胞，海马体掌握大脑重要记忆和方向感。</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_b7fc7f913749de0668.jpg" alt="" /></p>
<p>这是基于大脑皮层神经元细胞形成的水墨画。</p>
<p>各位感觉如何？</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/ecstasy-of-the-human-brain-neurons-cells-ink/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>“尸体内置时钟”可准确推测死亡时间</title>
		<link>http://www.91bio.com/internal-body-clock-can-accurately-guess-the-time-of-death/</link>
		<comments>http://www.91bio.com/internal-body-clock-can-accurately-guess-the-time-of-death/#comments</comments>
		<pubDate>Sat, 08 Oct 2011 12:08:28 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645393</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！ 在人体死亡之后，阻止黏液、细菌和灰尘进入鼻腔内的鼻纤毛仍在搏动。 判断一个人的死亡时间并不是一件易事，除非当时有人陪伴在逝者身边，不然这是一项需要做出大量艰难推测的工作，各种环境因素和其他情况都会对尸体产生影响。不过，意大利的科学家们宣称，他们在人体鼻腔内发现了计算尸体死亡时间的“内置时钟”，这一发现能够使有关死亡时间的推测更加精确。 法医有很多粗略判断人体死亡时间的方法，比如尸体腐化程度、僵硬程度和体温，但具体的死亡环境都会对这些判断依据产生影响，造成一些难以计算的变化。 然而，意大利巴里大学科学家的理论研究则认为，在人体死亡之后，阻止黏液、细菌和灰尘进入鼻腔内的鼻纤毛仍在搏动。为了证实这一假设，他们对100具停放时间较短的尸体进行实验，检测鼻纤毛在人体死亡后的特性。 科学家们发现，在人死后20个小时之内的时间里，不论身处何种环境之中，尸体的鼻纤毛仍在持续运动，但是搏动的速率却在以一个已知的加速度逐渐放缓。这就意味着，法医和医生可以通过测量尸体鼻纤毛的搏动速率来判断此人是何时死去的，这样有关人体死亡时间的推测就可以更多地依赖科学、而非经验。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！</p>
<p><img src="http://pic.biodiscover.com/uploads/da4fb5c6e93e74d3df8527599fa62642/article/biodiscover_7ce9d5c2af4e8c9120.jpg" alt="" /></p>
<p>在人体死亡之后，阻止黏液、细菌和灰尘进入鼻腔内的鼻纤毛仍在搏动。</p>
<p>判断一个人的死亡时间并不是一件易事，除非当时有人陪伴在逝者身边，不然这是一项需要做出大量艰难推测的工作，各种环境因素和其他情况都会对尸体产生影响。不过，意大利的科学家们宣称，他们在人体鼻腔内发现了计算尸体死亡时间的“内置时钟”，这一发现能够使有关死亡时间的推测更加精确。</p>
<p>法医有很多粗略判断人体死亡时间的方法，比如尸体腐化程度、僵硬程度和体温，但具体的死亡环境都会对这些判断依据产生影响，造成一些难以计算的变化。</p>
<p>然而，意大利巴里大学科学家的理论研究则认为，在人体死亡之后，阻止黏液、细菌和灰尘进入鼻腔内的鼻纤毛仍在搏动。为了证实这一假设，他们对100具停放时间较短的尸体进行实验，检测鼻纤毛在人体死亡后的特性。</p>
<p>科学家们发现，在人死后20个小时之内的时间里，不论身处何种环境之中，尸体的鼻纤毛仍在持续运动，但是搏动的速率却在以一个已知的加速度逐渐放缓。这就意味着，法医和医生可以通过测量尸体鼻纤毛的搏动速率来判断此人是何时死去的，这样有关人体死亡时间的推测就可以更多地依赖科学、而非经验。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/internal-body-clock-can-accurately-guess-the-time-of-death/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>搞笑诺贝尔奖</title>
		<link>http://www.91bio.com/funny-nobel-prize/</link>
		<comments>http://www.91bio.com/funny-nobel-prize/#comments</comments>
		<pubDate>Tue, 04 Oct 2011 06:54:30 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645390</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧! 首先还是恭喜下诺贝尔生理和医学奖颁给了免疫学界，也来看看搞笑诺贝尔奖都有神马？ 生理学奖：授予Anna Wilkinson， Natalie Sebanz， Isabella Mandl和Ludwig Huber，以奖励他们有关“没有证据显示红腿陆龟打哈欠会传染”的研究 化学奖：授予日本团队Makoto Ima，Naoki Urushihata，Hideki Tanemura，Yukinobu Tajima，Hideaki Goto，Koichiro Mizoguchi 以及 Junichi Murakami，以奖励他们有关芥末警报器的发明 医学奖：授予Matthew Lewis，Peter Snyder，Robert Feldman，Robert Pietrzak，David Darby，Maruff，Mirjam Tuk，Debra Trampe和Luk Warlop，以奖励他们有关憋尿可能产生的影响的研究 心理学奖：授予Karl Halvor Teigen，以奖励其对“为什么人类会叹气”的研究工作 文学奖：授予John Perry，其成果是“拖延”理论。他提出：作为一个高产者，应当总是集中精力去做那些“重要的事”，作为一种避免从事那些“更重要的事”的方式 生物学奖：授予Daryll Gwynne和 David Rentz，以奖励他们有关“发现不同种类的甲虫会和不同种类的澳洲啤酒瓶交配”的成果 物理学奖：授予Philippe Perrin，Cyril Perrot，Dominique Deviterne，Bruno Ragaru以及 Herman Kingma，以奖励他们有关“为何铁饼运动员总是会昏厥而扔链球的人则不会”的研究 数学奖：授予历史上各色的世界末日预言家们，以表彰他们“以实际行动告诉世人，在进行数学估算时小心谨慎是多么的重要” 和平奖：授予立陶宛市长Arturas Zuokas，以奖励他成功解决了道路乱停车的问题，方法是驾驶一辆装甲车去压碎它们！ 公共安全奖：授予John Senders，以奖励他进行的一项实验。在实验中，一名驾车人的面前有一个鸭舌帽不断掉下来骚扰他的视线，干扰他的驾驶。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧!</p>
<p>首先还是恭喜下诺贝尔生理和医学奖颁给了免疫学界，也来看看搞笑诺贝尔奖都有神马？</p>
<p>生理学奖：授予Anna Wilkinson， Natalie Sebanz， Isabella Mandl和Ludwig Huber，以奖励他们有关“没有证据显示红腿陆龟打哈欠会传染”的研究</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_f7e3d9cf25cbd2b668.jpg" alt="" /></p>
<p>化学奖：授予日本团队Makoto Ima，Naoki Urushihata，Hideki Tanemura，Yukinobu Tajima，Hideaki Goto，Koichiro Mizoguchi 以及 Junichi Murakami，以奖励他们有关芥末警报器的发明</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_1f83895c9968e62668.jpg" alt="" /></p>
<p>医学奖：授予Matthew Lewis，Peter Snyder，Robert Feldman，Robert Pietrzak，David Darby，Maruff，Mirjam Tuk，Debra Trampe和Luk Warlop，以奖励他们有关憋尿可能产生的影响的研究</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_4610998c1ea082f668.jpg" alt="" /></p>
<p>心理学奖：授予Karl Halvor Teigen，以奖励其对“为什么人类会叹气”的研究工作</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_8da9ac6e3f77a19668.jpg" alt="" /></p>
<p>文学奖：授予John Perry，其成果是“拖延”理论。他提出：作为一个高产者，应当总是集中精力去做那些“重要的事”，作为一种避免从事那些“更重要的事”的方式</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_6a9f8f6ea9744f5668.jpg" alt="" /></p>
<p>生物学奖：授予Daryll Gwynne和 David Rentz，以奖励他们有关“发现不同种类的甲虫会和不同种类的澳洲啤酒瓶交配”的成果</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_81817c512e916bf668.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_68e4e9e29fbffc8668.jpg" alt="" /></p>
<p>物理学奖：授予Philippe Perrin，Cyril Perrot，Dominique Deviterne，Bruno Ragaru以及 Herman Kingma，以奖励他们有关“为何铁饼运动员总是会昏厥而扔链球的人则不会”的研究</p>
<p>数学奖：授予历史上各色的世界末日预言家们，以表彰他们“以实际行动告诉世人，在进行数学估算时小心谨慎是多么的重要”</p>
<p>和平奖：授予立陶宛市长Arturas Zuokas，以奖励他成功解决了道路乱停车的问题，方法是驾驶一辆装甲车去压碎它们！</p>
<p><img src="http://pic.biodiscover.com/uploads/192fc044e74dffea144f9ac5dc9f3395/article/biodiscover_acc5e1a2e66ecc0668.jpg" alt="" /></p>
<p>公共安全奖：授予John Senders，以奖励他进行的一项实验。在实验中，一名驾车人的面前有一个鸭舌帽不断掉下来骚扰他的视线，干扰他的驾驶。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/funny-nobel-prize/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>驱蚊剂工作原理的非官方解读</title>
		<link>http://www.91bio.com/mosquito-repellent-works-unofficial-interpretation/</link>
		<comments>http://www.91bio.com/mosquito-repellent-works-unofficial-interpretation/#comments</comments>
		<pubDate>Fri, 30 Sep 2011 13:21:51 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[健康]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645387</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！ 本文转载自友乐活 导读:又到了夏天蚊虫乱舞惹人安眠的时刻，蚊帐、蚊香、驱蚊剂，一个都不能少。看起来“无害”的驱蚊剂，你真的等闲视之了么？你知道驱蚊剂的功效和使用禁忌么？不恰当的使用花露水，也会对身体造成伤害的…… &#160; 小编现在想起童年的夏天，总是会浮起花露水的味道。那个时候奶奶会把顽皮的小编出门前拉在跟前，满身拍好花露水。可是每次摸黑回来的小编还是会满身蚊子包。但是奶奶仍然会笃信不已，拍了花露水，不怕蚊子咬！以至于时至今日，夏天小编的床头，还是会放着一瓶“某神”花露水~ &#160; 至于驱蚊剂怎么驱蚊这个问题，小编也思考过，难道是因为把自己涂的香香的，蚊子就会跑的远远的吗？（囧，臭美的小孩有木有）也有人说过，拍了驱蚊剂，蚊子的“嗅觉”就失灵了，闻不到人肉的味道了！（难道人类是蚊子的“唐僧肉”？） &#160; 那，真相到底是什么呢？驱蚊剂是怎样让蚊子“退避三舍”的呢？ &#160; &#160; 一、驱蚊剂，给蚊子们的“烟雾弹”~ &#160; &#160; 扰乱说——多数专家认为，驱蚊剂使蚊子无法探测出辛烯醇，这是人体汗液和呼出气体中含有的挥发物质。这就意味着，由于蚊子靠嗅觉寻找人类宿主，在驱蚊剂的干扰下，它们无法找到涂抹了驱蚊剂的手臂或脚踝。 &#160; 怪味说——美国加州大学戴维斯分校科研小组表示广泛使用的驱蚊药靠怪味驱走蚊子。蚊子利用触角嗅气味，研究人员记录了其触角上单个神经元发出的信号。他们认为，驱蚊剂不能阻断蚊子的嗅觉，反而在某种程度上刺激了其嗅觉，驱蚊剂能驱蚊只是因为蚊子不喜欢这种气味。 &#160; 昆虫学教授沃尔特•利尔说：“我们发现蚊子能嗅到驱蚊剂的气味，并退避三舍。驱蚊剂并不能阻碍宿主气味的扩散，也无法妨碍蚊子的嗅觉。蚊子之所以讨厌驱蚊剂是因为它们讨厌这种气味。” （小编觉得花露水的味道蛮香呀，可能里面真的有蚊子不喜欢的“刺鼻”味道吧！） &#160; 无论是“扰乱嗅觉”或者是“散发出讨厌的味道”，花露水真的可以让蚊子们“忽忽悠悠”就晕了的！ &#160; &#160; 二、驱蚊剂是你的“金刚罩”么？ &#160; 继续探究下去的话，花露水这“烟雾弹”也是有不同型号的哟，这就好比用手机“发短信”VS“聊QQ”，虽然目的都是与人联系，但是内部机制是完全不同的—— &#160; 1.“驱蚊胺”版本 &#160; 最为广泛使用的一种驱蚊剂，即DEET。避蚊胺是由美国军队在“二战”期间发明。1946年军队开始使用，1957开始投入民用。近年研究显示驱蚊胺对人类神经系统有害！！ &#160; 金刚罩指数：10%浓度的驱蚊胺可驱蚊8.8小时 &#160; 2.“驱蚊酯”版本 &#160; 驱蚊酯又称避蚊酯、伊默宁，常温下为无色至浅黄色透明液体，优良的蚊虫驱避剂，与标准蚊虫驱避胺(DEET)比较，具有毒性更低，刺激性更小、更安全，驱避时间更长。 &#160; 金刚罩指数：10%浓度的驱蚊酯可驱蚊10.4小时 &#160; 看起来似乎“驱蚊酯”版本在安全度和驱蚊指数上更胜一筹哟！但事实上——他们都是化学合成物，高浓度的话同样可致人中毒！！另外他们并没有消毒止痒的功能！唯一的功能就是，驱蚊。 &#160; &#160; 三、花露水“焚身”不“避孕” &#160; &#160; 说道“焚身”，不是欲火焚身（你难道指望它当春药么？）这里的“焚身”是真的起火—— &#160; 1996年7月13日10时许，江西省九江市一住户里突然传出儿童的一声惊叫：“妈妈，快来救我&#8230; &#8230;”正在洗衣服的熊女士立即冲进卧室，只见儿子左胸处燃起了火焰，便立刻用水泼浇过去。火虽然灭了，但儿子的左侧脸颊，左胸左肩以及左手腕全部灼伤。熊女士纳闷，儿子身上怎么会突然起火呢？这时与儿子一起做功课的侄女指着桌上的花露水说：“刚才，蚊子叮他，他在身上擦了花露水。我点蚊香时，他刚好伸过手来，就起火了…… &#160; 这是因为，花露水主要是由酒精，水和食用香精配制而成，一般花露水内含有70％至75％的酒精，因而具有易燃性。国际上把它列为危险品，我国将其列为危险生活用品。倒出少量花露水在地上，火柴一点花露水就会燃烧起来。 &#160; 因此，花露水应当避火使用。在燃着的蚊香，蜡烛，烟头，油灯附近，不能使用花露水。当身上刚刚擦了花露水时，也不能打打火机，划火柴，因为这些火源足以引起花露水燃烧。 &#160; [...]]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！</p>
<p>本文转载自<a href="http://www.yoloho.com/index?view=1&amp;id=172" target="_blank">友乐活</a></p>
<p><strong>导读:</strong>又到了夏天蚊虫乱舞惹人安眠的时刻，蚊帐、蚊香、驱蚊剂，一个都不能少。看起来“无害”的驱蚊剂，你真的等闲视之了么？你知道驱蚊剂的功效和使用禁忌么？不恰当的使用花露水，也会对身体造成伤害的……</p>
<p>&nbsp;</p>
<p>小编现在想起童年的夏天，总是会浮起花露水的味道。那个时候奶奶会把顽皮的小编出门前拉在跟前，满身拍好花露水。可是每次摸黑回来的小编还是会满身蚊子包。但是奶奶仍然会笃信不已，拍了花露水，不怕蚊子咬！以至于时至今日，夏天小编的床头，还是会放着一瓶“某神”花露水~</p>
<p>&nbsp;</p>
<p>至于驱蚊剂怎么驱蚊这个问题，小编也思考过，难道是因为把自己涂的香香的，蚊子就会跑的远远的吗？（囧，臭美的小孩有木有）也有人说过，拍了驱蚊剂，蚊子的“嗅觉”就失灵了，闻不到人肉的味道了！（难道人类是蚊子的“唐僧肉”？）</p>
<p>&nbsp;</p>
<p>那，真相到底是什么呢？驱蚊剂是怎样让蚊子“退避三舍”的呢？</p>
<p>&nbsp;</p>
<hr />
<p>&nbsp;</p>
<p><strong>一、驱蚊剂，给蚊子们的“烟雾弹”~</strong></p>
<p>&nbsp;</p>
<p><strong><img src="http://www.yoloho.com/upload/healthblog/2011/06/09/4df06396ebf9d.jpg" alt="" width="388" height="263" /><br />
</strong></p>
<p>&nbsp;</p>
<p>扰乱说——多数专家认为，驱蚊剂使蚊子无法探测出辛烯醇，这是人体汗液和呼出气体中含有的挥发物质。这就意味着，由于蚊子靠嗅觉寻找人类宿主，在驱蚊剂的干扰下，它们无法找到涂抹了驱蚊剂的手臂或脚踝。</p>
<p>&nbsp;</p>
<p>怪味说——美国加州大学戴维斯分校科研小组表示广泛使用的驱蚊药靠怪味驱走蚊子。蚊子利用触角嗅气味，研究人员记录了其触角上单个神经元发出的信号。他们认为，驱蚊剂不能阻断蚊子的嗅觉，反而在某种程度上刺激了其嗅觉，驱蚊剂能驱蚊只是因为蚊子不喜欢这种气味。</p>
<p>&nbsp;</p>
<p>昆虫学教授沃尔特•利尔说：“我们发现蚊子能嗅到驱蚊剂的气味，并退避三舍。驱蚊剂并不能阻碍宿主气味的扩散，也无法妨碍蚊子的嗅觉。蚊子之所以讨厌驱蚊剂是因为它们讨厌这种气味。” （小编觉得花露水的味道蛮香呀，可能里面真的有蚊子不喜欢的“刺鼻”味道吧！）</p>
<p>&nbsp;</p>
<p>无论是“扰乱嗅觉”或者是“散发出讨厌的味道”，花露水真的可以让蚊子们“忽忽悠悠”就晕了的！</p>
<p>&nbsp;</p>
<hr />
<p>&nbsp;</p>
<p><strong>二、驱蚊剂是你的“金刚罩”么？</strong></p>
<p>&nbsp;</p>
<p>继续探究下去的话，花露水这“烟雾弹”也是有不同型号的哟，这就好比用手机“发短信”VS“聊QQ”，虽然目的都是与人联<img src="http://www.yoloho.com/upload/healthblog/2011/06/09/4df063f11d30b.jpg" alt="" width="246" height="246" />系，但是内部机制是完全不同的——</p>
<p>&nbsp;</p>
<p>1.“驱蚊胺”版本</p>
<p>&nbsp;</p>
<p>最为广泛使用的一种驱蚊剂，即DEET。避蚊胺是由美国军队在“二战”期间发明。1946年军队开始使用，1957开始投入民用。近年研究显示驱蚊胺对人类神经系统有害！！</p>
<p>&nbsp;</p>
<p>金刚罩指数：10%浓度的驱蚊胺可驱蚊8.8小时</p>
<p>&nbsp;</p>
<p>2.“驱蚊酯”版本</p>
<p>&nbsp;</p>
<p>驱蚊酯又称避蚊酯、伊默宁，常温下为无色至浅黄色透明液体，优良的蚊虫驱避剂，与标准蚊虫驱避胺(DEET)比较，具有毒性更低，刺激性更小、更安全，驱避时间更长。</p>
<p>&nbsp;</p>
<p>金刚罩指数：10%浓度的驱蚊酯可驱蚊10.4小时</p>
<p>&nbsp;</p>
<p>看起来似乎“驱蚊酯”版本在安全度和驱蚊指数上更胜一筹哟！但事实上——他们都是化学合成物，高浓度的话同样可致人中毒！！<strong>另外他们并没有消毒止痒的功能！唯一的功能就是，驱蚊。</strong></p>
<p>&nbsp;</p>
<hr />
<p>&nbsp;</p>
<p><strong>三、花露水“焚身”不“避孕”</strong></p>
<p>&nbsp;</p>
<p><strong><br />
</strong></p>
<p>&nbsp;</p>
<p>说道“焚身”，不是欲火焚身（你难道指望它当春药么？）这里的“焚身”是真的起火——</p>
<p>&nbsp;</p>
<p>1996年7月13日10时许，江西省九江市一住户里突然传出儿童的一声惊叫：“妈妈，快来救我&#8230; &#8230;”正在洗衣服的熊女士立即冲进卧室，只见儿子左胸处燃起了火焰，便立刻用水泼浇过去。火虽然灭了，但儿子的左侧脸颊，左胸左肩以及左手腕全部灼伤。熊女士纳闷，儿子身上怎么会突然起火呢？这时与儿子一起做功课的侄女指着桌上的花露水说：“刚才，蚊子叮他，他在身上擦了花露水。我点蚊香时，他刚好伸过手来，就起火了……</p>
<p>&nbsp;</p>
<p>这是因为，花露水主要是由酒精，水和食用香精配制而成，一般花露水内含有70％至75％的酒精，因而具有易燃性。国际上把它列为危险品，我国将其列为危险生活用品。倒出少量花露水在地上，火柴一点花露水就会燃烧起来。</p>
<p>&nbsp;</p>
<p>因此，花露水应当避火使用。在燃着的蚊香，蜡烛，烟头，油灯附近，不能使用花露水。当身上刚刚擦了花露水时，也不能打打火机，划火柴，因为这些火源足以引起花露水燃烧。</p>
<p>&nbsp;</p>
<p>“驱蚊”，没错，这是花露水的唯一功能，在这篇文章里会多次被提及。<strong>它不能消毒止痒，也不能“避孕”</strong>。（没文化，很可怕！）</p>
<p>&nbsp;</p>
<hr />
<p>&nbsp;</p>
<p><strong>四、 “驱蚊剂”非官方使用指南</strong></p>
<p>&nbsp;</p>
<p>似乎你得重新认识一下花露水了。你应该注意一下，别再边抽烟边给你媳妇涂花露水了。人家不是普通的水，人家火大了会爆的！当然这些都是其次，重要的是，平常你在涂抹的时候，该注意些什么呢？</p>
<p>&nbsp;</p>
<p><strong>普通注意版：</strong></p>
<p>&nbsp;</p>
<p>•  一定要遵守产品说明上的使用规则<br />
•  涂在外露皮肤或衣服上，不要将驱蚊剂涂在衣服下面<br />
•  不要在伤口或发炎的皮肤上使用驱蚊剂。<br />
•  回到室内后﹐要用肥皂水冲洗用过驱蚊剂的皮肤。<br />
•  不要在封闭区域内喷散高浓度雾狀驱蚊剂。<br />
•  不要将雾狀驱蚊剂直接用到脸上。喷散在手上﹐然后小心地擦在脸上﹐但不要擦到眼睛与嘴巴。</p>
<p>&nbsp;</p>
<p><strong>家有儿童注意升级版：</strong></p>
<p>&nbsp;</p>
<p>•  在给孩子使用驱蚊剂时﹐先涂在自己的手上﹐然后再给孩子擦。不要擦在孩子的眼<br />
睛与嘴上﹐在耳朵周围也要慎用。<br />
•  不要涂在孩子的手上。（孩子可能会将手放入口中。）<br />
•  不要让孩子自己使用驱蚊剂﹔应由成年人帮他们用。<br />
•  将驱蚊剂放在孩子碰不到的地方。</p>
<p>&nbsp;</p>
<p><strong>家有孕妇注意升级版：</strong></p>
<p>&nbsp;</p>
<p>因为一定量的驱蚊胺会被皮肤吸收而进入血液。剂量大时会导致严重疾病。驱蚊胺已被证明会增加小鸡出生缺陷的风险（作者注：是小鸡，不是小鸡鸡），但对老鼠和兔子没有影响。但通常还是建议准妈妈们避免，或少量使用含有避蚊胺的产品。</p>
<p>&nbsp;</p>
<p><strong>与防晒霜混合双打的使用说明：</strong></p>
<p>&nbsp;</p>
<p>两种产品可一起使用于裸露的皮肤。然而有些 证据显示，当涂抹于同一位置时，避蚊胺会减低防晒乳液的效果。有一项研究显示如果同时于同一位置使用34.34%避蚊胺和防晒乳液，后者将减少33%(SPF)的防晒效果。因此建议消费者使用避蚊胺驱蚊剂时，应多补充涂抹防晒乳，以免晒伤。</p>
<p>&nbsp;</p>
<p><strong>小结：</strong>特别想给花露水下个定义，驱蚊、外用、易燃！！要止痒，请挠挠；要避孕，请戴套。如果你非要天黑之后深入田间做点什么，全身涂满花露水的作用也不会很大的，毕竟，花露水它不是“防弹衣”。</p>
<p>&nbsp;</p>
<p><img src="http://www.yoloho.com/upload/healthblog/2011/06/09/4df0687e8b8a9.jpg" alt="" /></p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>快放假鸟，动物的爱爱，绝对震撼</title>
		<link>http://www.91bio.com/fast-holiday-birds-animals-house-of-love-absolutely-shocking/</link>
		<comments>http://www.91bio.com/fast-holiday-birds-animals-house-of-love-absolutely-shocking/#comments</comments>
		<pubDate>Thu, 29 Sep 2011 11:27:28 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645384</guid>
		<description><![CDATA[找生物-分享有趣实用的生物技巧！话说这放假也有综合症啊，自从上次公司组织游玩，回来后就等着这放假了，这不博客也荒废了，好几天没有更新了，完全都没有上网的欲望了！这马上就放假鸟，找生物送上点轻松愉快的，看看动物们的爱爱图，各位要hold啊！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣实用的生物技巧！话说这放假也有综合症啊，自从上次公司组织游玩，回来后就等着这放假了，这不博客也荒废了，好几天没有更新了，完全都没有上网的欲望了！这马上就放假鸟，找生物送上点轻松愉快的，看看动物们的爱爱图，各位要hold啊！</p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_4b0b2de9447f51e886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_78a9c34ccc80e64886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_17c1b023ba1d0d3886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_0999bc2110df94b886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_8b869c67ce837bf886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_ccb8b70dd0205f3886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_9095b0db52b2b46886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_6fbdb6af4e4a5a6886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_4df1cd35a9e89c6886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_e9f4fb016ea5fb1886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_51d5349d1c68136886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_fef98f01e3e5238886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_95bd4f4a9a7adee886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_02c60c884cea01f886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_b60183f9ef029f8886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_4a100f28c898f7a886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_6e7958c37ffa2f6886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_681aeed867000c1886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_bdbc7344c05ee24886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_06e9dc11cbd7bfe886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_acd8d05348a3f7c886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_9a4270af056c340886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_4e7fef17452c6f7886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_a1988a836a95f7b886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_b3adbd2f0d50cc2886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_dc6e3c54c340993886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_77392967244b673886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_b4b0780b321ff3c886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_2658532a0ce1065886.jpg" alt="" /></p>
<p><img src="http://pic.biodiscover.com/uploads/704afe073992cbe4813cae2f7715336f/article/biodiscover_d97e140546fa75b886.jpg" alt="" /></p>
]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>有趣的生物实验（1）</title>
		<link>http://www.91bio.com/interesting-biological-experiments-1/</link>
		<comments>http://www.91bio.com/interesting-biological-experiments-1/#comments</comments>
		<pubDate>Thu, 22 Sep 2011 14:16:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物实验]]></category>
		<category><![CDATA[生物实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645381</guid>
		<description><![CDATA[1、瓜果为什么会裂开： 1）你将知道：植物水分过多时为什么会裂开； 2）准备材料：一小段芹菜，一只碗； 3）实验步骤：把一小段芹菜茎泡在装有水的碗里，静置一天，然后观察芹菜茎的形状； 4）实验结果：芹菜茎的两端会裂开，呈弯曲状； 5）实验揭秘：芹菜茎中有长长的管状细胞，这些细胞的吸水效率并不相同。吸水多的细胞膨胀得快，吸水少的细胞膨胀得慢。因此，当芹菜的两端吸收过多的水分使膨压变大时，芹菜的茎就会裂开，并且两端会弯曲。而在芹菜茎的中部，细胞吸水少，膨压也相应较小，所以不会裂开。 2、芥菜为什么不怕霜冻： 1）你将知道：溶解在水里的养分是怎样影响溶液的冻结速度的； 2）准备材料：一些盐，两只纸杯，一把茶匙，一卷胶带纸，一支笔； 3）实验步骤：将两只纸杯都装满水。将一只杯子贴上写有“盐水”的胶带纸，将另一只杯子贴上写有“清水”的胶带纸；在贴有“盐水”的纸杯里倒进一茶匙的盐，搅拌均匀；将两只杯子都放进冰箱的冷冻室；每隔两小时打开一次冰箱冷冻室的门，观察一下纸杯里的水的冻结情况； 4）实验结果：不管放多久，盐水都不会像清水那样冻得很坚硬； 5）实验揭秘：往水里加盐，会使水的凝固温度下降。也就是说，清水结成冰的温度会比盐水结成冰的温度高。在上一个实验中我们知道，叶子面积越大的蔬菜冻结的速度。养分浓度越大，蔬菜越不容易冻结。豆类、黄瓜、茄子、南瓜和蕃茄等，不能忍受一丁点的霜，所以在冬天就需要在温室里种植；而花椰菜、抱子甘蓝、卷心菜、羽衣甘蓝、芥菜和萝卜等，很严重的霜对它们也无可奈何。在这些耐寒的蔬菜中，像芥菜、花椰菜等蔬菜，它们的叶子很大，却也能耐寒，这就是养分浓度大比表面积起了更大的作用。也就是说，叶片中的溶解养分能帮助叶片抵御严寒。 3、叶子里也会有淀粉吗： 1）你将知道：植物的叶子里会产生淀粉； 2）准备材料：一张纸巾，一瓶碘酒，一片叶子（淡绿色），一瓶外用酒精，一根滴管，一只浅盘子，一只带盖的广口瓶（500毫升），一只量杯（250毫升）； 3）实验步骤：把淡绿色的叶子放在广口瓶里。叶子的颜色越淡，叶子里的叶绿素（绿色素）就越容易被提取；将一量杯的酒精倒进放有叶子的广口瓶里，盖上盖子，静置一天；取出叶子，用纸巾将酒精吸掉；把叶子放在浅盘子中；用滴管在叶面上滴几滴碘酒； 4）实验结果：叶子上会出现暗色块； 5）实验揭秘：光合作用是绿色植物在光下把二氧化碳和水合成淀粉等有机物，同时放出氧气的过程。淀粉是光合作用的产物之一，它会存在于叶子中。把叶子放入酒精内浸泡，能使覆盖在叶子表面的蜡状物质和部分叶绿素脱落，淀粉就会露出来。当碘酒与叶子中的淀粉颗粒相结合时，就会形成暗紫色或黑色的物质。 4、叶子是用哪一面来呼吸的： 1）你将知道：植物叶子的哪一面来呼吸的； 2）准备材料：一株盆裁观叶植物，一瓶凡士林； 3）实验步骤：在4片叶子的正面涂上厚厚的一层凡士林；在别处4片叶子的背面涂上厚厚的一层凡士林；每天观察一次，连着观察一个星期。看看正面涂有凡士林的叶子和背面涂有凡士林的叶子有什么不同； 4）实验结果：背面涂有凡士林的叶子会枯萎，而正面涂有凡士林的叶子则没什么变化； 5）实验揭秘：叶子的背面有很多气孔，二氧化碳和氧气就是从这些气孔里进出的。当叶子的背面被涂上凡士林以后，气孔都被堵住了，叶子进行光合作用所需要的二氧化碳就无法进入叶子里；同时，堆积在叶子里的氧气也无法排出来，叶子就枯萎了。而叶子的正面没有气孔，因此在叶子的正面涂上凡士林对叶子的生长没有影响。 5、植物也会呼吸吗：紫色卷心菜指示剂里含有水和色素。当你往指示剂里吹气时，吹出来的气体中和水草排出来的气体中都含有二氧化碳，当二氧化碳和水结合时，就会生成碳酸这种弱酸性液体。当指示剂中的色素与酸接触时，就会变成红色。在白天，植物会利用太阳光进行光合作用而产生氧气；而在没有阳光的夜里，植物又会做些什么呢？和动物摄取食物一样，植物在黑暗中会用吸收的氧气制造二氧化碳、水和能量，这种作用就称为呼吸作用。在晚上，放在房间里的植物最好能移到室外去，就是因为植物在晚上会吸收氧气，呼出二氧化碳。 6、叶子里只有叶绿素吗：植物体内含有多种色素，这些色素是植物进行光合作用制造养分的过程中所必需的物质。在这些色素中，以叶绿素最多，所以大多数的植物叶片看起来是绿色的。其中有一种色素的含量很少，这种色素叫做类胡萝卜素，它包括胡萝卜素和叶黄素，显现出橙色、黄色，是植物的果实和花朵的色彩来源。秋天，植物的叶片色彩变得很丰富，就是因为叶绿素先停止生成，然后类胡萝卜素生成，就形成了以橙色和黄色为主体的植物秋景。生物是由许多不同的化学物质组成的。在这个实验中，你所用的方法就称为“色谱法”，它能分离并显现出其中的两种色素：黄色和绿色。简而言之，色谱法也就是用颜色书写不同物质的方法。化学物质会溶解在酒精中，并沿着过滤纸上升。混合物中不同的物质会以不同的速度沿着过滤纸移动，重的物质会先附着在纸上，而轻的物质则会上升到较高的位置再附着在纸上，最终达到分离的效果。色谱法起源于20世纪初，并发展出一个独立的学科——色谱学。历史上曾经先后有两位化学家因为在色谱领域的突出贡献而获得诺贝尔化学奖。]]></description>
			<content:encoded><![CDATA[<p>1、瓜果为什么会裂开：<br />
1）你将知道：植物水分过多时为什么会裂开；<br />
2）准备材料：一小段芹菜，一只碗；<br />
3）实验步骤：把一小段芹菜茎泡在装有水的碗里，静置一天，然后观察芹菜茎的形状；<br />
4）实验结果：芹菜茎的两端会裂开，呈弯曲状；<br />
5）实验揭秘：芹菜茎中有长长的管状细胞，这些细胞的吸水效率并不相同。吸水多的细胞膨胀得快，吸水少的细胞膨胀得慢。因此，当芹菜的两端吸收过多的水分使膨压变大时，芹菜的茎就会裂开，并且两端会弯曲。而在芹菜茎的中部，细胞吸水少，膨压也相应较小，所以不会裂开。<br />
2、芥菜为什么不怕霜冻：<br />
1）你将知道：溶解在水里的养分是怎样影响溶液的冻结速度的；<br />
2）准备材料：一些盐，两只纸杯，一把茶匙，一卷胶带纸，一支笔；<br />
3）实验步骤：将两只纸杯都装满水。将一只杯子贴上写有“盐水”的胶带纸，将另一只杯子贴上写有“清水”的胶带纸；在贴有“盐水”的纸杯里倒进一茶匙的盐，搅拌均匀；将两只杯子都放进冰箱的冷冻室；每隔两小时打开一次冰箱冷冻室的门，观察一下纸杯里的水的冻结情况；<br />
4）实验结果：不管放多久，盐水都不会像清水那样冻得很坚硬；<br />
5）实验揭秘：往水里加盐，会使水的凝固温度下降。也就是说，清水结成冰的温度会比盐水结成冰的温度高。在上一个实验中我们知道，叶子面积越大的蔬菜冻结的速度。养分浓度越大，蔬菜越不容易冻结。豆类、黄瓜、茄子、南瓜和蕃茄等，不能忍受一丁点的霜，所以在冬天就需要在温室里种植；而花椰菜、抱子甘蓝、卷心菜、羽衣甘蓝、芥菜和萝卜等，很严重的霜对它们也无可奈何。在这些耐寒的蔬菜中，像芥菜、花椰菜等蔬菜，它们的叶子很大，却也能耐寒，这就是养分浓度大比表面积起了更大的作用。也就是说，叶片中的溶解养分能帮助叶片抵御严寒。<br />
3、叶子里也会有淀粉吗：<br />
1）你将知道：植物的叶子里会产生淀粉；<br />
2）准备材料：一张纸巾，一瓶碘酒，一片叶子（淡绿色），一瓶外用酒精，一根滴管，一只浅盘子，一只带盖的广口瓶（500毫升），一只量杯（250毫升）；<br />
3）实验步骤：把淡绿色的叶子放在广口瓶里。叶子的颜色越淡，叶子里的叶绿素（绿色素）就越容易被提取；将一量杯的酒精倒进放有叶子的广口瓶里，盖上盖子，静置一天；取出叶子，用纸巾将酒精吸掉；把叶子放在浅盘子中；用滴管在叶面上滴几滴碘酒；<br />
4）实验结果：叶子上会出现暗色块；<br />
5）实验揭秘：光合作用是绿色植物在光下把二氧化碳和水合成淀粉等有机物，同时放出氧气的过程。淀粉是光合作用的产物之一，它会存在于叶子中。把叶子放入酒精内浸泡，能使覆盖在叶子表面的蜡状物质和部分叶绿素脱落，淀粉就会露出来。当碘酒与叶子中的淀粉颗粒相结合时，就会形成暗紫色或黑色的物质。<br />
4、叶子是用哪一面来呼吸的：<br />
1）你将知道：植物叶子的哪一面来呼吸的；<br />
2）准备材料：一株盆裁观叶植物，一瓶凡士林；<br />
3）实验步骤：在4片叶子的正面涂上厚厚的一层凡士林；在别处4片叶子的背面涂上厚厚的一层凡士林；每天观察一次，连着观察一个星期。看看正面涂有凡士林的叶子和背面涂有凡士林的叶子有什么不同；<br />
4）实验结果：背面涂有凡士林的叶子会枯萎，而正面涂有凡士林的叶子则没什么变化；<br />
5）实验揭秘：叶子的背面有很多气孔，二氧化碳和氧气就是从这些气孔里进出的。当叶子的背面被涂上凡士林以后，气孔都被堵住了，叶子进行光合作用所需要的二氧化碳就无法进入叶子里；同时，堆积在叶子里的氧气也无法排出来，叶子就枯萎了。而叶子的正面没有气孔，因此在叶子的正面涂上凡士林对叶子的生长没有影响。<br />
5、植物也会呼吸吗：紫色卷心菜指示剂里含有水和色素。当你往指示剂里吹气时，吹出来的气体中和水草排出来的气体中都含有二氧化碳，当二氧化碳和水结合时，就会生成碳酸这种弱酸性液体。当指示剂中的色素与酸接触时，就会变成红色。在白天，植物会利用太阳光进行光合作用而产生氧气；而在没有阳光的夜里，植物又会做些什么呢？和动物摄取食物一样，植物在黑暗中会用吸收的氧气制造二氧化碳、水和能量，这种作用就称为呼吸作用。在晚上，放在房间里的植物最好能移到室外去，就是因为植物在晚上会吸收氧气，呼出二氧化碳。<br />
6、叶子里只有叶绿素吗：植物体内含有多种色素，这些色素是植物进行光合作用制造养分的过程中所必需的物质。在这些色素中，以叶绿素最多，所以大多数的植物叶片看起来是绿色的。其中有一种色素的含量很少，这种色素叫做类胡萝卜素，它包括胡萝卜素和叶黄素，显现出橙色、黄色，是植物的果实和花朵的色彩来源。秋天，植物的叶片色彩变得很丰富，就是因为叶绿素先停止生成，然后类胡萝卜素生成，就形成了以橙色和黄色为主体的植物秋景。生物是由许多不同的化学物质组成的。在这个实验中，你所用的方法就称为“色谱法”，它能分离并显现出其中的两种色素：黄色和绿色。简而言之，色谱法也就是用颜色书写不同物质的方法。化学物质会溶解在酒精中，并沿着过滤纸上升。混合物中不同的物质会以不同的速度沿着过滤纸移动，重的物质会先附着在纸上，而轻的物质则会上升到较高的位置再附着在纸上，最终达到分离的效果。色谱法起源于20世纪初，并发展出一个独立的学科——色谱学。历史上曾经先后有两位化学家因为在色谱领域的突出贡献而获得诺贝尔化学奖。</p>
]]></content:encoded>
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		<title>有趣的元素周期表</title>
		<link>http://www.91bio.com/interestingly-the-periodic-table/</link>
		<comments>http://www.91bio.com/interestingly-the-periodic-table/#comments</comments>
		<pubDate>Wed, 21 Sep 2011 09:33:59 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[化学]]></category>
		<category><![CDATA[有趣生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645375</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！这篇文章转载自科学网刘晓瑭老师的一篇文章，还真没有想到元素周期表可以做到这么有趣，各位童鞋您见过吗？ 公元前1000年，人们知道的元素有十种：碳、硫、铁、铜、银、锡、铂、金、汞和铅。 公元前450年，柏拉图最先提出“元素”的概念，古希腊认为世界的基本元素是火、土、水、空气（或者叫风，英文是air）。中间包围的是蓝天。 而中国认为的基本元素是所谓的“五行”：金、木、水、火、土。近邻日本则认为是风、火、土（或地）、水，中间包围的为“空”。详情点击这里进入—— 经历了很长时间的探索，进入了简单物质阶段，1782年的（物质）元素表如下。 到1800年已知的元素有下列26种。 随着元素种类的增加，对于其周期性的认识也在萌生，最早体现8元素重复的是这个有趣的五线谱。 门捷列夫对元素周期性的研究持续了几十年，从1869年的第一版周期表，到1871年的第二版，再到1906年的周期表，奠定了现代元素周期表的基础。这期间人们对元素的认识至少在种类上有了大幅的增加，达到79种之多。 此后各式的研究思路和形式不断出现，在1926年就有多种周期表，这两张同一年的周期表，却有明显的不同。 1950年的周期表就被称作现代周期表了。 1951年为了英国的科学展览特意制造了一个这样的元素周期表。 另一个比较有趣的是1960年出现的变形虫一样的周期表。 到了1990&#8242;s各类型的元素周期表层出不穷，来看三个世纪末的周期表吧。 进入到新世纪，人们对元素周期表的兴趣丝毫不减，比如这个出现于2001年的玛雅周期表，来源于古代中美洲的月历。 2003年的这张化学星系也是很有趣的，当然新世纪人们更关注在已知的元素之外还能出现什么。 同年还有一张很有童趣的大象周期表，要是仔细看，可以发现很多有趣有意义的信息，比如Am就是一头披着美国国旗的大象，再比如Y就是电视机中红色荧光粉的主要元素。 特别推介一下这张太极周期表，它的设计者是河北师范大学的王章乐同学。 最后看一张本年度的周期表吧，好像一枚橄榄；还有那3D周期表，也有时尚意义。]]></description>
			<content:encoded><![CDATA[<p><!--Ads1--><br />
找生物-分享有趣、实用的生物技巧！这篇文章转载自科学网<a href="http://blog.sciencenet.cn/home.php?mod=space&amp;uid=293156" target="_blank">刘晓瑭</a>老师的一篇文章，还真没有想到元素周期表可以做到这么有趣，各位童鞋您见过吗？</p>
<div>公元前1000年，人们知道的元素有十种：碳、硫、铁、铜、银、锡、铂、金、汞和铅。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121931c5xco2go1r1nnv1e.png" alt="" width="640" height="159" /></p>
<div>公元前450年，柏拉图最先提出“元素”的概念，古希腊认为世界的基本元素是火、土、水、空气（或者叫风，英文是air）。中间包围的是蓝天。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/12193166yppx64c1xtpul4.png" alt="" /></p>
<div>而中国认为的基本元素是所谓的“五行”：金、木、水、火、土。近邻日本则认为是风、火、土（或地）、水，中间包围的为“空”。<a href="http://en.wikipedia.org/wiki/Classical_element" target="_blank">详情点击这里进入——</a></div>
<div>经历了很长时间的探索，进入了简单物质阶段，1782年的（物质）元素表如下。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121931iqiavi4qh0zq46qp.png" alt="" /></p>
<div>到1800年已知的元素有下列26种。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1219326scp0tpquv8vvza6.png" alt="" width="652" height="162" /></p>
<div>随着元素种类的增加，对于其周期性的认识也在萌生，最早体现8元素重复的是这个有趣的五线谱。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1219324dqlktq92l4uo4l4.jpg" alt="" /></p>
<div>门捷列夫对元素周期性的研究持续了几十年，从1869年的第一版周期表，到1871年的第二版，再到1906年的周期表，奠定了现代元素周期表的基础。这期间人们对元素的认识至少在种类上有了大幅的增加，达到79种之多。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121933lp9gd7ppwlplzdzh.jpg" alt="" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121933htr65prvdhdqchv5.jpg" alt="" width="592" height="308" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121935ecet8j3c86ge48z8.png" alt="" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121934qdqvxv56dwxdw6ho.png" alt="" width="600" height="150" /></p>
<div>此后各式的研究思路和形式不断出现，在1926年就有多种周期表，这两张同一年的周期表，却有明显的不同。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121936xcln6s756pi8upry.jpg" alt="" width="644" height="519" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1219398nbcact86e8xuvjc.jpg" alt="" width="657" height="469" /></p>
<div>1950年的周期表就被称作现代周期表了。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121947dgin88ntmaxdxnzf.jpg" alt="" width="605" height="454" /></p>
<div>1951年为了英国的科学展览特意制造了一个这样的元素周期表。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121945ffl917czl4z5f1qm.jpg" alt="" width="538" height="379" /></p>
<div>另一个比较有趣的是1960年出现的变形虫一样的周期表。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121946mxaj3ekze7s8omiv.png" alt="" width="558" height="429" /></p>
<div>到了1990&#8242;s各类型的元素周期表层出不穷，来看三个世纪末的周期表吧。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121953dtyvdvd7jwkl2drw.jpg" alt="" width="595" height="289" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1219540wr0xz09ymmz42i9.jpg" alt="" width="568" height="552" /></p>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/121955x4bkwaeznba5an1j.jpg" alt="" /></p>
<div>进入到新世纪，人们对元素周期表的兴趣丝毫不减，比如这个出现于2001年的玛雅周期表，来源于古代中美洲的月历。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/122000xmcsyiuhuahsucuc.jpg" alt="" /></p>
<div>2003年的这张化学星系也是很有趣的，当然新世纪人们更关注在已知的元素之外还能出现什么。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/123001taa7xpyjjhe7e47e.jpg" alt="" /></p>
<div>同年还有一张很有童趣的大象周期表，要是仔细看，可以发现很多有趣有意义的信息，比如Am就是一头披着美国国旗的大象，再比如Y就是电视机中红色荧光粉的主要元素。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/122012em53yfim63f3dt43.png" alt="" width="616" height="422" /></p>
<div>特别推介一下这张太极周期表，它的设计者是河北师范大学的王章乐同学。</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/122016233prwp4p9b4v9cv.png" alt="" /></p>
<div>最后看一张本年度的周期表吧，好像一枚橄榄；还有那3D周期表，也有时尚意义。</div>
<div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1220329um4tnxdwwmtsfxd.png" alt="" width="522" height="733" /></p>
</div>
<p align="center"><img src="http://image.sciencenet.cn/album/201109/12/1220344hkzvzyi380iisjr.png" alt="" /></p>
]]></content:encoded>
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		</item>
		<item>
		<title>小技巧之大鼠和小鼠尾静脉注射</title>
		<link>http://www.91bio.com/tips-of-the-rat-and-mouse-tail-vein-injection/</link>
		<comments>http://www.91bio.com/tips-of-the-rat-and-mouse-tail-vein-injection/#comments</comments>
		<pubDate>Wed, 21 Sep 2011 02:57:07 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[实验动物]]></category>
		<category><![CDATA[生物实验技巧]]></category>
		<category><![CDATA[生物技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645371</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物技巧！找生物在以前分享过一篇关于豚鼠静脉注射的文章，感兴趣的可以移步，今天分享下大鼠和小鼠尾静脉注射的小技巧，这个文章主要来源在生命科学论坛朋友的分享。 关键步骤是: 1. 将小鼠固定好,将尾巴拉直，绷紧，这是成功的第一步。 小鼠性情较温顺，一般不会咬人，比较容易抓取固定。通常用右手提起小鼠尾巴将其放在鼠笼盖或其它粗糙表面上，在小鼠向前挣扎爬行时，用左手拇指和食指捏住其双耳及颈部皮肤，将小鼠置于左手掌心、无名指和小指夹其背部皮肤和尾部，即可将小鼠完全固定。在一些特殊的实验中，如进行尾静脉注射时，可使用特殊的固定装置进行固定,如尾静脉注射架或粗的玻璃试管。如要进行手术或心脏采血应先行麻醉再操作,如进行解剖实验则必须先行无痛处死后再进行。 或者用这个方法：1 小鼠要固定好，自制一个笼子，前面通气，中间最好有一个挡板，让小鼠不能后退，筒子后面开一个口，尾巴从这里出来，这样固定牢靠；2、注射前尾巴用稍热的水浸泡几分钟，有利于注射；3、先远后尽，不要一开始就从尾根部，那样失败了不好办；4、进血管后注意保持稳定，针尖很容易刺穿血管的。至于能否穿进，个人手感如何，全靠自己啦。多练习，一定很快掌握的，不难，绝对不难！我练习10余只小鼠就比较熟练了 2. 用酒精棉球擦拭尾巴,使血管扩张;或者用热水或者热毛巾焐热，使静脉扩张；选用适当的针头，越细越好；在尾部较靠近上段的地方注射，这里血管比较大。用酒精或热水擦拭，擦拭的时候，可把尾巴用力扯在桌面上。注射状态为尾巴发白，紧靠白色的尾骨两侧清晰可见两根红色静脉。 3.用左手的食指,中指,无名指及大拇指将小鼠尾巴固定,; 手法：握住1ml注射器前面0.1ml处。右手小指搭在拽着鼠尾的左手拇指处 按此手形进针；看针尖前面那个斜面有3/4（关键），如果血管充盈则进1/2，进入，停，上挑针头，进针；左右轻摆动，如可动，可注射。 原则是：把你第一次打进的手形，完全固定下来，每次都重复。 4.注射:注射时左手扯尾，使尾巴紧贴桌面，尾巴与桌边紧贴转弯处为进针部位，一般选择距尾尖1/4或1/3处进针，此处皮肤较薄，血管清晰，进针容易。进针时针头与桌面平行，针尖稍稍朝下，从中指及无名指与拇指接触处稍上方进针，一旦进入，须将针头稍稍上挑进入，针头沿血管进入，肉眼可关察到针头前进。如果针头在血管中前进，可明显地感觉到针行通畅，毫无阻力。若针头不在血管中，手感针行有阻力，有一种堵的感觉。进针时不要太深，针头入皮肤后马上把针头略往上，平行进针，针扎入时有落空感，推液时无阻力则说明成功了！如针头处出现皮丘则说明在皮下，推出重来。进针处最好在尾巴的1/3-1/2处，甚至可以更下一点。这样一次失败了还可以往上再来，不要马上在最高处打，因为你们要打这么多天。要为以后作准备。用热水、酒精、红外都可以扩张血管。可以视情况而用。总而言之，最重要的是“熟能生巧”。你最好先练习一下或请高手相助。不然到了最后几天，真的很难打的。 注射：针进入后，切记手不可发抖，因为血管壁非常薄，容易扎穿。推药时，要缓推。若进针成功，推药顺畅，无阻力；若推药时感觉有阻力，说明针头不在血管中，须及时拔出，重新进针。一般选用4号或4号半针头。最好用打疫苗的2毫升一次性注射器。尾静脉注射并不难，主要是一种感觉。若用上十只鼠练手，你必会找到感觉。心要静，手要稳，要有耐心。我研一的时候尾静脉注射让我头疼万分，越急越打不进去。后来静下心来，边注射边找感觉，很快就熟练了。 祝你找到感觉 5.通过看有无回血来测试针是否在静脉内; 6.注射. 做到以上步骤,保证注射成功! 注： （1）如果做细胞移植时，应该尽量把细胞打散，不然很容易引起栓塞！ （2）练习：建议你先用蓝墨水练手，因为新手往往看不出打入的是皮下还是静脉 其实真的只能熟能生巧一般推荐在尾下1/3处进针，但是我觉得1/2处准确度较好，个人经验针头可以插深入些，防止意外摆动戳破静脉而注入皮下，很多时候你觉得进了血管打的却是皮下，就是因为这个原因。 或者用：经常尾经脉注射胎盘兰，比较容易，静脉在侧面比较粗的那个，可以做个容器，我们是用一个50ml的离心管前面弄个开口，后面的螺盖弄个洞，把老鼠装进去，比较容易，把都对准管小鼠自动进去，把尾巴从盖子的洞穿出来，操作极为方便。刮毛，用热水烫一下，血管涨起来就可以，具体的感觉还要自己实践一下掌握，不过还容易，有3－4只就可以掌握。 （3）规律：动物越小越好操作，小鼠比大鼠容易，幼年大鼠比成年大鼠容易；对于小鼠最好还是尾静脉注射，这样损伤最小；成年大鼠实在不行可以选股静脉注射，相对要容易一些；最重要的一点，必须多练，进针时的那种感觉必须自己好好体会，熟能生巧，这是常识。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物技巧！找生物在以前分享过一篇关于豚鼠静脉注射的文章，感兴趣的可以移步，今天分享下大鼠和小鼠尾静脉注射的小技巧，这个文章主要来源在生命科学论坛朋友的分享。<br />
<!--Ads1--><br />
关键步骤是:<br />
1. 将小鼠固定好,将尾巴拉直，绷紧，这是成功的第一步。<br />
小鼠性情较温顺，一般不会咬人，比较容易抓取固定。通常用右手提起小鼠尾巴将其放在鼠笼盖或其它粗糙表面上，在小鼠向前挣扎爬行时，用左手拇指和食指捏住其双耳及颈部皮肤，将小鼠置于左手掌心、无名指和小指夹其背部皮肤和尾部，即可将小鼠完全固定。在一些特殊的实验中，如进行尾静脉注射时，可使用特殊的固定装置进行固定,如尾静脉注射架或粗的玻璃试管。如要进行手术或心脏采血应先行麻醉再操作,如进行解剖实验则必须先行无痛处死后再进行。</p>
<p>或者用这个方法：1 小鼠要固定好，自制一个笼子，前面通气，中间最好有一个挡板，让小鼠不能后退，筒子后面开一个口，尾巴从这里出来，这样固定牢靠；2、注射前尾巴用稍热的水浸泡几分钟，有利于注射；3、先远后尽，不要一开始就从尾根部，那样失败了不好办；4、进血管后注意保持稳定，针尖很容易刺穿血管的。至于能否穿进，个人手感如何，全靠自己啦。多练习，一定很快掌握的，不难，绝对不难！我练习10余只小鼠就比较熟练了</p>
<p>2. 用酒精棉球擦拭尾巴,使血管扩张;或者用热水或者热毛巾焐热，使静脉扩张；选用适当的针头，越细越好；在尾部较靠近上段的地方注射，这里血管比较大。用酒精或热水擦拭，擦拭的时候，可把尾巴用力扯在桌面上。注射状态为尾巴发白，紧靠白色的尾骨两侧清晰可见两根红色静脉。</p>
<p>3.用左手的食指,中指,无名指及大拇指将小鼠尾巴固定,; 手法：握住1ml注射器前面0.1ml处。右手小指搭在拽着鼠尾的左手拇指处 按此手形进针；看针尖前面那个斜面有3/4（关键），如果血管充盈则进1/2，进入，停，上挑针头，进针；左右轻摆动，如可动，可注射。<br />
原则是：把你第一次打进的手形，完全固定下来，每次都重复。</p>
<p>4.注射:注射时左手扯尾，使尾巴紧贴桌面，尾巴与桌边紧贴转弯处为进针部位，一般选择距尾尖1/4或1/3处进针，此处皮肤较薄，血管清晰，进针容易。进针时针头与桌面平行，针尖稍稍朝下，从中指及无名指与拇指接触处稍上方进针，一旦进入，须将针头稍稍上挑进入，针头沿血管进入，肉眼可关察到针头前进。如果针头在血管中前进，可明显地感觉到针行通畅，毫无阻力。若针头不在血管中，手感针行有阻力，有一种堵的感觉。进针时不要太深，针头入皮肤后马上把针头略往上，平行进针，针扎入时有落空感，推液时无阻力则说明成功了！如针头处出现皮丘则说明在皮下，推出重来。进针处最好在尾巴的1/3-1/2处，甚至可以更下一点。这样一次失败了还可以往上再来，不要马上在最高处打，因为你们要打这么多天。要为以后作准备。用热水、酒精、红外都可以扩张血管。可以视情况而用。总而言之，最重要的是“熟能生巧”。你最好先练习一下或请高手相助。不然到了最后几天，真的很难打的。</p>
<p>注射：针进入后，切记手不可发抖，因为血管壁非常薄，容易扎穿。推药时，要缓推。若进针成功，推药顺畅，无阻力；若推药时感觉有阻力，说明针头不在血管中，须及时拔出，重新进针。一般选用4号或4号半针头。最好用打疫苗的2毫升一次性注射器。尾静脉注射并不难，主要是一种感觉。若用上十只鼠练手，你必会找到感觉。心要静，手要稳，要有耐心。我研一的时候尾静脉注射让我头疼万分，越急越打不进去。后来静下心来，边注射边找感觉，很快就熟练了。<br />
祝你找到感觉</p>
<p>5.通过看有无回血来测试针是否在静脉内;</p>
<p>6.注射.<br />
做到以上步骤,保证注射成功!</p>
<p>注：<br />
（1）如果做细胞移植时，应该尽量把细胞打散，不然很容易引起栓塞！<br />
（2）练习：建议你先用蓝墨水练手，因为新手往往看不出打入的是皮下还是静脉<br />
其实真的只能熟能生巧一般推荐在尾下1/3处进针，但是我觉得1/2处准确度较好，个人经验针头可以插深入些，防止意外摆动戳破静脉而注入皮下，很多时候你觉得进了血管打的却是皮下，就是因为这个原因。<br />
或者用：经常尾经脉注射胎盘兰，比较容易，静脉在侧面比较粗的那个，可以做个容器，我们是用一个50ml的离心管前面弄个开口，后面的螺盖弄个洞，把老鼠装进去，比较容易，把都对准管小鼠自动进去，把尾巴从盖子的洞穿出来，操作极为方便。刮毛，用热水烫一下，血管涨起来就可以，具体的感觉还要自己实践一下掌握，不过还容易，有3－4只就可以掌握。<br />
（3）规律：动物越小越好操作，小鼠比大鼠容易，幼年大鼠比成年大鼠容易；对于小鼠最好还是尾静脉注射，这样损伤最小；成年大鼠实在不行可以选股静脉注射，相对要容易一些；最重要的一点，必须多练，进针时的那种感觉必须自己好好体会，熟能生巧，这是常识。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/tips-of-the-rat-and-mouse-tail-vein-injection/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>安卓生物应用之MCAT 生物学习工具</title>
		<link>http://www.91bio.com/mcat-biology-prep-tool/</link>
		<comments>http://www.91bio.com/mcat-biology-prep-tool/#comments</comments>
		<pubDate>Tue, 20 Sep 2011 13:12:27 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[andriod]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645350</guid>
		<description><![CDATA[找生物-分享有趣、使用的生物技巧！继续安卓生物应用系列！ “MCAT Biology Prep Tool” 十亿个学习卡性质的应用，帮助记忆一些生物学知识，有免费版本和收费的全功能版本。 包含内容 1. 细胞 2. 酶 3. 细胞代谢 4. 再生 5. 胚胎学 6. 肌肉骨骼系统 7. 消化 8. 基因 9. 循环 10. 神经系统 11. 分子基因 等等 ps：找生物仅作推荐，未实际试用，感兴趣可出市场下载。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、使用的生物技巧！继续安卓生物应用系列！</p>
<p><!--Ads1--><br />
“MCAT Biology Prep Tool” 十亿个学习卡性质的应用，帮助记忆一些生物学知识，有免费版本和收费的全功能版本。</p>
<p>包含内容<br />
1. 细胞<br />
2. 酶<br />
3. 细胞代谢<br />
4. 再生<br />
5. 胚胎学<br />
6. 肌肉骨骼系统<br />
7. 消化<br />
8. 基因<br />
9. 循环<br />
10. 神经系统<br />
11. 分子基因<br />
等等<br />
<img alt="" src="https://g0.gstatic.com/android/market/app.MCATBiologyFlashcardsFree/ss-320-3-0" title="4" class="aligncenter" width="320" height="480" /><br />
ps：找生物仅作推荐，未实际试用，感兴趣可出市场下载。</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/mcat-biology-prep-tool/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓软件之Protocolpedia</title>
		<link>http://www.91bio.com/protocolpedia/</link>
		<comments>http://www.91bio.com/protocolpedia/#comments</comments>
		<pubDate>Mon, 19 Sep 2011 14:16:33 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[protocol]]></category>
		<category><![CDATA[安卓]]></category>
		<category><![CDATA[生物实验]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645354</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 继续安卓软件，这个是个重量级的应用，从名字就可知道其主要用途，不错，操作手册！这下生物实验的各位童鞋幸福了，以后手机就是Protocol宝典啊,有木有？ Protocolpedia 应用可以离线查看数百上千的protocol，并可以自己添加，方便吧。 软件的其他特色： 包括计算器，查看教学视频，与专家交流等等，需自己去发掘！当然了看视频还是需要wifi的！ Protocolpedia应用是著名的站点www.protocolpedia.com的移动版本, 介个童鞋们应该有所耳闻吧！ -论坛: 及时反馈、交流信息，学习下外语也好啊. -protocol：包含分子生物学、生物化学、细胞生物学、免疫学等等众多分类； -计算器: 稀释，Mol换算，oligo，以后版本会添加更多的功能； -视频:实用的关于实验操作和新技术的视频。 其中Protocol和计算器可以离线使用，并可以下载最新的protocol至手机，怎么样？方便吧？到底怎么样，还是试用后，等待您的反馈！ 本软件由 Huemedscience.com开发。 安卓市场链接地址：https://market.android.com/details?id=com.tenx.mj.protocolpedia&#038;feature=search_result ps：找生物未下载使用此应用，仅作软件推荐，请各位童鞋酌情下载！ pps：最近找生物尝试添加了google的广告，尽量不影响找生物网站的美观和阅读，目前处于尝试阶段，还请反馈意见，谢谢！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！<br />
<!--Ads1--><br />
继续安卓软件，这个是个重量级的应用，从名字就可知道其主要用途，不错，操作手册！这下生物实验的各位童鞋幸福了，以后手机就是Protocol宝典啊,有木有？<br />
Protocolpedia 应用可以离线查看数百上千的protocol，并可以自己添加，方便吧。<br />
软件的其他特色：<br />
包括计算器，查看教学视频，与专家交流等等，需自己去发掘！当然了看视频还是需要wifi的！<br />
Protocolpedia应用是著名的站点www.protocolpedia.com的移动版本, 介个童鞋们应该有所耳闻吧！<br />
-论坛: 及时反馈、交流信息，学习下外语也好啊.<br />
-protocol：包含分子生物学、生物化学、细胞生物学、免疫学等等众多分类；<br />
-计算器: 稀释，Mol换算，oligo，以后版本会添加更多的功能；<br />
-视频:实用的关于实验操作和新技术的视频。<br />
其中Protocol和计算器可以离线使用，并可以下载最新的protocol至手机，怎么样？方便吧？到底怎么样，还是试用后，等待您的反馈！</p>
<p>本软件由 Huemedscience.com开发。<br />
<img alt="" src="https://www.gstatic.com/android/market/com.tenx.mj.protocolpedia/ss-480-0-10" title="PP1" class="alignnone" width="480" height="800" /><br />
<img alt="" src="https://ssl.gstatic.com/android/market/com.tenx.mj.protocolpedia/ss-480-3-10" title="PP1" class="alignnone" width="480" height="800" /><br />
<img alt="" src="https://g1.gstatic.com/android/market/com.tenx.mj.protocolpedia/ss-480-6-10" title="PP1" class="alignnone" width="480" height="800" /></p>
<p>安卓市场链接地址：https://market.android.com/details?id=com.tenx.mj.protocolpedia&#038;feature=search_result<br />
ps：找生物未下载使用此应用，仅作软件推荐，请各位童鞋酌情下载！<br />
pps：最近找生物尝试添加了google的广告，尽量不影响找生物网站的美观和阅读，目前处于尝试阶段，还请反馈意见，谢谢！</p>
]]></content:encoded>
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		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>科学家用细菌开发生物计算机基本组件</title>
		<link>http://www.91bio.com/computer-scientists-develop-bio-basic-components-of-bacteria/</link>
		<comments>http://www.91bio.com/computer-scientists-develop-bio-basic-components-of-bacteria/#comments</comments>
		<pubDate>Mon, 19 Sep 2011 10:06:47 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[资讯]]></category>
		<category><![CDATA[微生物]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645427</guid>
		<description><![CDATA[新华社伦敦10月18日电(记者黄堃)英国研究人员最近用细菌和基因手段开发出一种可模块化的新型“生物逻辑门”，为研制生物计算机铺平道路。逻辑门是计算机的基础，它是一种对输入的信息进行逻辑运算，然后输出信息的装置。通过对不同逻辑门进行各种组合，就可搭建出复杂的计算机电路。 英国帝国理工学院研究人员在新一期《自然·通信》杂志上报告说，新型“生物逻辑门”是通过对一种无害的大肠杆菌进行基因改造而实现，即用蛋白质等作为输入信息和输出信息，完成逻辑运算，从而具有与当前计算机所用电路逻辑门类似的信息处理能力。 更重要的是，这种“生物逻辑门”可以模块化地进行逻辑门之间的叠加。而以前虽然也有一些研究实现了“生物逻辑门”，但缺少这种模块化叠加的功能，因此本次研究成果是迄今最先进的。 论文共同作者理查德·凯特利教授说，接下来将尝试用这种方法构建更复杂的逻辑回路，希望能在此基础上开发出新一代的生物处理器，并最终研制出功能强大的生物计算机。]]></description>
			<content:encoded><![CDATA[<p>新华社伦敦10月18日电(记者黄堃)英国研究人员最近用细菌和基因手段开发出一种可模块化的新型“生物逻辑门”，为研制生物计算机铺平道路。逻辑门是计算机的基础，它是一种对输入的信息进行逻辑运算，然后输出信息的装置。通过对不同逻辑门进行各种组合，就可搭建出复杂的计算机电路。</p>
<p>英国帝国理工学院研究人员在新一期《自然·通信》杂志上报告说，新型“生物逻辑门”是通过对一种无害的大肠杆菌进行基因改造而实现，即用蛋白质等作为输入信息和输出信息，完成逻辑运算，从而具有与当前计算机所用电路逻辑门类似的信息处理能力。</p>
<p>更重要的是，这种“生物逻辑门”可以模块化地进行逻辑门之间的叠加。而以前虽然也有一些研究实现了“生物逻辑门”，但缺少这种模块化叠加的功能，因此本次研究成果是迄今最先进的。</p>
<p>论文共同作者理查德·凯特利教授说，接下来将尝试用这种方法构建更复杂的逻辑回路，希望能在此基础上开发出新一代的生物处理器，并最终研制出功能强大的生物计算机。</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>安卓应用之DNA Band Measure</title>
		<link>http://www.91bio.com/dna-band-measure/</link>
		<comments>http://www.91bio.com/dna-band-measure/#comments</comments>
		<pubDate>Sun, 18 Sep 2011 12:12:26 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[安卓]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645352</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！今天送出的一个andriod软件比较实用，用来干嘛呢？看看名称就知道了！DNA Band Measure，Let&#8217;s do biology and science with Android!! 呵呵，简单介绍下吧： 本应用是一个用于检测DNA图像条带的，这个东东在PC端的软件比较多，现在手机上也可以了。 如何使用呢？比较简单 1.打开图像文件； 2.可以放大、缩小图片； 3.移动图像至合适的位置（也可以锁定图像）； 4.添加Marker； 5.移动Marker至目标条带。 同时，也可以更改Marker的颜色，不过需要注意的是需要安装Adobe AIR运行此软件. 备注：找生物未做测评，仅进行软件的推荐，版本为英文版，等以后找生物有时间进行简单汉化，并写出试用测评。感兴趣的去市场搜索一下吧！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！今天送出的一个andriod软件比较实用，用来干嘛呢？看看名称就知道了！DNA Band Measure，Let&#8217;s do biology and science with Android!!<br />
<!--Ads1--></p>
<p>呵呵，简单介绍下吧：<br />
本应用是一个用于检测DNA图像条带的，这个东东在PC端的软件比较多，现在手机上也可以了。<br />
如何使用呢？比较简单<br />
1.打开图像文件；<br />
2.可以放大、缩小图片；<br />
3.移动图像至合适的位置（也可以锁定图像）；<br />
4.添加Marker；<br />
5.移动Marker至目标条带。</p>
<p>同时，也可以更改Marker的颜色，不过需要注意的是需要安装Adobe AIR运行此软件.<br />
备注：找生物未做测评，仅进行软件的推荐，版本为英文版，等以后找生物有时间进行简单汉化，并写出试用测评。感兴趣的去市场搜索一下吧！<br />
<img alt="" src="https://www.gstatic.com/android/market/air.com.bfrontier.flex.BandAnalyzer/f-705-2" title="DNA" class="aligncenter" width="705" height="344" /></p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>安卓应用之口袋药典</title>
		<link>http://www.91bio.com/andrews-application-of-the-pocket-pharmacopoeia/</link>
		<comments>http://www.91bio.com/andrews-application-of-the-pocket-pharmacopoeia/#comments</comments>
		<pubDate>Sat, 17 Sep 2011 12:42:29 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[android]]></category>
		<category><![CDATA[安卓]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645346</guid>
		<description><![CDATA[找生物很久没有分享安卓手机应用了，今天送出口袋药典！ 收录中、西药物及中药方剂共一千五百种，按照科目进行分类，可快速定位药物。家庭常备医学用书。 下载链接：下载]]></description>
			<content:encoded><![CDATA[<p>找生物很久没有分享安卓手机应用了，今天送出口袋药典！<br />
<!--Ads1--><br />
收录中、西药物及中药方剂共一千五百种，按照科目进行分类，可快速定位药物。家庭常备医学用书。</p>
<p><img src="http://static.nduoa.com/apk/26/26077/1.watermark.jpg" alt="" /></p>
<p><img src="http://static.nduoa.com/apk/26/26077/0.watermark.jpg" alt="" /></p>
<p>下载链接：<a href="http://www.nduoa.com/apk/download/26077" target="_blank">下载</a></p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/andrews-application-of-the-pocket-pharmacopoeia/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>试管肉您敢吃吗？</title>
		<link>http://www.91bio.com/you-dare-eat-it-in-vitro-meat/</link>
		<comments>http://www.91bio.com/you-dare-eat-it-in-vitro-meat/#comments</comments>
		<pubDate>Sat, 17 Sep 2011 12:00:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645343</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 今天所讲的试管肉是指应用细胞生物学技术在体外（也就是通俗的讲“试管”，细胞培养并不是在试管内进行的）进行扩增、培养而制备的，好吧，来看看其具体的用于制备汉堡的制备过程： 1.从健康的牛体内获得细胞样本； 2.获得的1万个干细胞； 3.在实验室的器皿里，细胞经过分裂产生几十亿个； 4.在器皿上生长的新肌肉细胞，张力令其发生膨胀； 5.肌肉纤维被切碎，制成汉堡包。 这个是荷兰人进行的相关研究！荷兰科学家是使用胚胎细胞来培育“试管肉”的，美国科学家则发现，在动物体内有一种成肌细胞。成肌细胞生存于骨骼肌组织中，是一种在创伤后重建肌肉组织的前体细胞。美国南卡罗来纳医科大学的研究人员米罗诺夫发现，提取动物中的成肌细胞，可用于培育“试管肉”。 米罗诺夫从火鸡中提取成肌细胞，将它们浸泡在牛血清营养液中，营养液盛放在甲壳素制成的支架上，不久这些成肌细胞长成为一条条的“火鸡肉”。据报道，他培育出的火鸡肉比较干，没有天然火鸡肉的多汁肉感。一些研究人员建议添加脂肪，另一些科学家建议添加血管组织，这样内部细胞也能吸收氧气，有助长成口感更好的肉块，而非是干巴巴的瘦肉条。 米罗诺夫表示，人工培育“试管肉”还有很多好处。比如，可以精细控制加入“试管肉”中的营养成分。普通肉里面本来有不少“坏脂肪”，在人工培育的情况下，人们可以在培育过程中加入有利健康的脂肪“欧米茄3”来取代容易导致高胆固醇的脂肪“欧米茄6”。 存在的问题 作为科学概念和实验尝试而言，“试管肉”是成功的。对提高肉类生产效率和减轻环境压力，也描绘了一幅美丽的图画。过去的十余年中，这一领域的研究也经常有新进展。不过，它面临的挑战依然很大： 首先，这样生产出来的“肉”跟常规的肉有相当大的差异。因为没有血管，无法输送养分，所以长出来的肉只有薄薄一层。把这些薄薄的“肉层”堆起来，才能得到一块肉。或者，直接把这些“肉层”拿去做肉馅之类。就营养成分而言，它们倒是不难接近传统的肉。如果作为肉馅，在口感上也不难实现——实际上，哪怕仅仅是蛋白质，也不难加工出肉的口感来。但是，要在颜色、味道等方面接近传统的肉，就不那么容易了。或许，现实的途径是要通过“肉味香精”和外加色素来实现。 其次，是否安全。理论上说，这样的肉在生产过程中没有致病细菌的污染，安全性应该更好保障。但是，为了刺激细胞的分裂，可能不得不使用相当多的外源激素。这些激素会不会对人体健康带来不利影响，还需要细致的评估。虽然有报道说“科学家称试管汉堡有望在一年内面世”，但是作为一种“新的食物成分”，必须经过广泛深入的安全性检验。即使一年内这样的汉堡能够“做出来”，要经过主管部门的安全审查，也还有很长的路要走。 第三，在产品质量和安全性问题都能解决之后，生产成本也是一个巨大的障碍。虽然说，通过细胞培养来生产会使营养成分的转化率大大提高，但是对于培养液和生产设备的要求也大大提高了。能否在生产成本上与传统畜牧业的产品一比高低，是决定“试管肉”能否商业化的另一个重要因素。 虽然问题很多，但“试管肉”毕竟是一条看起来可以走下去的路。对于奉行动物保护主义的人来说，这种方式避免了对动物的屠杀，显然要人道多了。 但就是这个试管肉，你敢吃吗？]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！<br />
<!--Ads1--><br />
今天所讲的试管肉是指应用细胞生物学技术在体外（也就是通俗的讲“试管”，细胞培养并不是在试管内进行的）进行扩增、培养而制备的，好吧，来看看其具体的用于制备汉堡的制备过程：<br />
1.从健康的牛体内获得细胞样本；<br />
2.获得的1万个干细胞；<br />
3.在实验室的器皿里，细胞经过分裂产生几十亿个；<br />
4.在器皿上生长的新肌肉细胞，张力令其发生膨胀；<br />
5.肌肉纤维被切碎，制成汉堡包。<br />
<img alt="" src="http://pic.biodiscover.com/uploads/ec8956637a99787bd197eacd77acce5e/article/biodiscover_4cb70243ac26d5c102.jpg" title="3" class="aligncenter" width="550" height="336" /><br />
这个是荷兰人进行的相关研究！荷兰科学家是使用胚胎细胞来培育“试管肉”的，美国科学家则发现，在动物体内有一种成肌细胞。成肌细胞生存于骨骼肌组织中，是一种在创伤后重建肌肉组织的前体细胞。美国南卡罗来纳医科大学的研究人员米罗诺夫发现，提取动物中的成肌细胞，可用于培育“试管肉”。<br />
米罗诺夫从火鸡中提取成肌细胞，将它们浸泡在牛血清营养液中，营养液盛放在甲壳素制成的支架上，不久这些成肌细胞长成为一条条的“火鸡肉”。据报道，他培育出的火鸡肉比较干，没有天然火鸡肉的多汁肉感。一些研究人员建议添加脂肪，另一些科学家建议添加血管组织，这样内部细胞也能吸收氧气，有助长成口感更好的肉块，而非是干巴巴的瘦肉条。<br />
米罗诺夫表示，人工培育“试管肉”还有很多好处。比如，可以精细控制加入“试管肉”中的营养成分。普通肉里面本来有不少“坏脂肪”，在人工培育的情况下，人们可以在培育过程中加入有利健康的脂肪“欧米茄3”来取代容易导致高胆固醇的脂肪“欧米茄6”。<br />
存在的问题<br />
作为科学概念和实验尝试而言，“试管肉”是成功的。对提高肉类生产效率和减轻环境压力，也描绘了一幅美丽的图画。过去的十余年中，这一领域的研究也经常有新进展。不过，它面临的挑战依然很大：</p>
<p>首先，这样生产出来的“肉”跟常规的肉有相当大的差异。因为没有血管，无法输送养分，所以长出来的肉只有薄薄一层。把这些薄薄的“肉层”堆起来，才能得到一块肉。或者，直接把这些“肉层”拿去做肉馅之类。就营养成分而言，它们倒是不难接近传统的肉。如果作为肉馅，在口感上也不难实现——实际上，哪怕仅仅是蛋白质，也不难加工出肉的口感来。但是，要在颜色、味道等方面接近传统的肉，就不那么容易了。或许，现实的途径是要通过“肉味香精”和外加色素来实现。</p>
<p>其次，是否安全。理论上说，这样的肉在生产过程中没有致病细菌的污染，安全性应该更好保障。但是，为了刺激细胞的分裂，可能不得不使用相当多的外源激素。这些激素会不会对人体健康带来不利影响，还需要细致的评估。虽然有报道说“科学家称试管汉堡有望在一年内面世”，但是作为一种“新的食物成分”，必须经过广泛深入的安全性检验。即使一年内这样的汉堡能够“做出来”，要经过主管部门的安全审查，也还有很长的路要走。</p>
<p>第三，在产品质量和安全性问题都能解决之后，生产成本也是一个巨大的障碍。虽然说，通过细胞培养来生产会使营养成分的转化率大大提高，但是对于培养液和生产设备的要求也大大提高了。能否在生产成本上与传统畜牧业的产品一比高低，是决定“试管肉”能否商业化的另一个重要因素。</p>
<p>虽然问题很多，但“试管肉”毕竟是一条看起来可以走下去的路。对于奉行动物保护主义的人来说，这种方式避免了对动物的屠杀，显然要人道多了。<br />
但就是这个试管肉，你敢吃吗？</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>贴壁细胞消化方法总结</title>
		<link>http://www.91bio.com/adherent-cells-digest-methods/</link>
		<comments>http://www.91bio.com/adherent-cells-digest-methods/#comments</comments>
		<pubDate>Wed, 14 Sep 2011 08:43:33 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645331</guid>
		<description><![CDATA[找生物转载丁香园cheff0412战友的帖子，对贴壁细胞的消化方法进行总结，也希望各位童鞋补充！ 一、酶消化法。 1、胰酶。这是用得最多的。一般浓度在0.25-0.5%。作用时间根据细胞种类、作用温度等因素而变化很大，从几分钟到几十分钟不等。0.25%的胰酶作用于单层贴壁的细胞，在37度条件下，一般消化1-5分钟就足够了。终止是用血清。主要作用于细胞间。配制时不能用含钙、镁的平衡液，否则影响活性。保存于-20度。 2、胶原酶。这种方法比较少，一般是用原代培养时，从组织消化下细胞。这种方法作用温和，对细胞损伤较小，但是，价格也较贵。中止同样是用血清。 二、离子螯合剂：不破坏细胞表面分子，仅与CAMs螯合，因此，如果检测细胞表面分子的话，尽量，甚至是一定不要用酶消化法。 1、EDTA。用得也是非常多。一般浓度在0.02%左右。作用于细胞与间质，对细胞间也有一定作用。注意，它能显著影响pH值，而且在弱碱性条件下才易溶。因此，配制时应调节好酸碱度。它不能被终和。因此，消化下来的细胞要洗一遍。 2、商品化的无酶消化液。个人的使用经常觉得对细胞的损伤比较大，但是分离成单细胞悬液的能力确实比较强。 三、物理法。直接吹打或用细胞刮子将细胞刮下来。 四、冷冻法。此方法仅能用于细胞传代时。无法使组织上的细胞脱落下来。本方法的原理，我想是因细胞冷冻后收缩，从而从培养瓶上脱落下来。优点是：对细胞损伤小，不需要中止或洗细胞，方便，不需要另外配制消化液。特别适用那些贴壁不是特别紧，又特别娇气的细胞。不足是细胞常成小片脱落。此种方法曾用于因用其它方法传代导致大量细胞死亡操作的间充质干细胞、DC细胞的培养，效果非常满意。具体过程是：1、用较多的4度的PBS洗涤一遍细胞(以6孔板为例，加1.5ml/孔)，2、再加0.5ml 4度的PBS，静置操作台上，很快细胞就小片脱落，3、轻轻吹打，细胞即完全脱落，4、按一定比例传代。 细胞消化难题： 1，先用PBS把细胞洗两遍，使瓶内没有血清了，减少对胰酶的中和，然后用新配的0.25%的胰酶加入3ml左右，放在37度，然后可以在细胞有些消化下来时，拿着瓶口，运用手腕的力量轻轻震荡瓶内液体，这样细胞很快就下来了，还不需要吹打，分散也均匀 2，成团、絮状： 消化液里加入edta可以减少细胞成团的现象，血清可以终止胰酶的作用，如果是进口血清的话也能终止edta的作用。用胰酶消化后胰酶可以倒掉，也可以不倒，直接加血清终止，如果消化液中加入了edta的话，就要将消化液倒干净，如果细胞贴壁要求不是很严格的话，一般不需要进行离心。 鼻咽癌细胞。这种细胞的贴壁能力很强，用0.5%胰酶（含0.1%EDTA）一般要消化12~15min。用PBS洗涤时要洗净残余的培养基，加入胰酶后在培养箱中消化（避免细胞室温下受损以及在此温度时胰酶活性最强）至细胞收缩变圆（可显微镜下观察）且有少许细胞脱落（有流下来的趋势），随后立即弃去胰酶（如果脱落的细胞很多且需要大量细胞实验，则不能弃去胰酶），加入培养基仔细吹打（不能用无血清培养基或者PBS替代，否则细胞聚集成团块或絮状）。一般我都离心一次弃去上清（去除残留的胰酶及漂浮的死细胞或细胞碎片）。 消化过度 马上用培养基中和，用吸管吹打细胞，收集全部的细胞到以无菌的离心管中800RPM 3分钟。弃上清，用全培重悬，换新的培养瓶继续培养！！状态不好的细胞在培养的过程中会死亡脱落，在换液的时候可以清除掉！！ ！ 贴壁细胞消化传代时通常采用两种方法： 一、加入胰酶等细胞脱落后，再加培养基中止胰酶作用，离心传代；二、加入胰酶后，镜下观察待细胞始脱落时，弃胰酶，加培养液分瓶。但前者太麻烦，而后者有可能对细胞施加胰酶选择，因为总是贴壁不牢的细胞先脱落，对肿瘤细胞来说，这部分细胞有可能是恶性程度较高的细胞亚群。 一种简单的消化传代方法。加入PBS洗去血清或加入胰酶先中和血清的作用（30s），弃之，再加入适量胰酶作用10s-40s（根据细胞消化的难易程度），弃之，这样依赖残余的胰酶就可将细胞消化单细胞。 对于较难消化的细胞，可以用2%利多卡因消化5-8分钟，然后再弃去，加培养基吹打也可以，对细胞的影响不大。 不用PBS也不用Hanks洗，只要把旧培养液吸的干净一点，直接加酶消化应该不会有什么问题。 弃培养液后，用0.04%的EDTA冲洗一次，再用1/4v的0.04%的EDTA室温孵育5min，弃取大部分EDTA，加入与剩余EDTA等量的胰酶（预热）总体积1/10v。消化到有细胞脱落。不过有人说EDTA对细胞不好，有证据吗？ 培养的BASMC：倒掉旧培养液加入少量胰酶冲一下，倒掉再加入0.125-0.25%胰酶约6-10滴或1ml（25ml bottle）消化再加入适量新培养基中和，并分瓶这种方法简单、省事；效果很好并且不损失细胞！]]></description>
			<content:encoded><![CDATA[<p><!--Ads1--><br />
找生物转载丁香园<a href="http://i.dxy.cn/profile/cheff0412">cheff0412战友</a>的帖子，对贴壁细胞的消化方法进行总结，也希望各位童鞋补充！<br />
一、酶消化法。<br />
1、胰酶。这是用得最多的。一般浓度在0.25-0.5%。作用时间根据细胞种类、作用温度等因素而变化很大，从几分钟到几十分钟不等。0.25%的胰酶作用于单层贴壁的细胞，在37度条件下，一般消化1-5分钟就足够了。终止是用血清。主要作用于细胞间。配制时不能用含钙、镁的平衡液，否则影响活性。保存于-20度。</p>
<p>2、胶原酶。这种方法比较少，一般是用原代培养时，从组织消化下细胞。这种方法作用温和，对细胞损伤较小，但是，价格也较贵。中止同样是用血清。</p>
<p>二、离子螯合剂：不破坏细胞表面分子，仅与CAMs螯合，因此，如果检测细胞表面分子的话，尽量，甚至是一定不要用酶消化法。</p>
<p>1、EDTA。用得也是非常多。一般浓度在0.02%左右。作用于细胞与间质，对细胞间也有一定作用。注意，它能显著影响pH值，而且在弱碱性条件下才易溶。因此，配制时应调节好酸碱度。它不能被终和。因此，消化下来的细胞要洗一遍。</p>
<p>2、商品化的无酶消化液。个人的使用经常觉得对细胞的损伤比较大，但是分离成单细胞悬液的能力确实比较强。</p>
<p>三、物理法。直接吹打或用细胞刮子将细胞刮下来。</p>
<p>四、冷冻法。此方法仅能用于细胞传代时。无法使组织上的细胞脱落下来。本方法的原理，我想是因细胞冷冻后收缩，从而从培养瓶上脱落下来。优点是：对细胞损伤小，不需要中止或洗细胞，方便，不需要另外配制消化液。特别适用那些贴壁不是特别紧，又特别娇气的细胞。不足是细胞常成小片脱落。此种方法曾用于因用其它方法传代导致大量细胞死亡操作的间充质干细胞、DC细胞的培养，效果非常满意。具体过程是：1、用较多的4度的PBS洗涤一遍细胞(以6孔板为例，加1.5ml/孔)，2、再加0.5ml 4度的PBS，静置操作台上，很快细胞就小片脱落，3、轻轻吹打，细胞即完全脱落，4、按一定比例传代。</p>
<p>细胞消化难题：</p>
<p>1，先用PBS把细胞洗两遍，使瓶内没有血清了，减少对胰酶的中和，然后用新配的0.25%的胰酶加入3ml左右，放在37度，然后可以在细胞有些消化下来时，拿着瓶口，运用手腕的力量轻轻震荡瓶内液体，这样细胞很快就下来了，还不需要吹打，分散也均匀<br />
2，成团、絮状：</p>
<p>消化液里加入edta可以减少细胞成团的现象，血清可以终止胰酶的作用，如果是进口血清的话也能终止edta的作用。用胰酶消化后胰酶可以倒掉，也可以不倒，直接加血清终止，如果消化液中加入了edta的话，就要将消化液倒干净，如果细胞贴壁要求不是很严格的话，一般不需要进行离心。</p>
<p>鼻咽癌细胞。这种细胞的贴壁能力很强，用0.5%胰酶（含0.1%EDTA）一般要消化12~15min。用PBS洗涤时要洗净残余的培养基，加入胰酶后在培养箱中消化（避免细胞室温下受损以及在此温度时胰酶活性最强）至细胞收缩变圆（可显微镜下观察）且有少许细胞脱落（有流下来的趋势），随后立即弃去胰酶（如果脱落的细胞很多且需要大量细胞实验，则不能弃去胰酶），加入培养基仔细吹打（不能用无血清培养基或者PBS替代，否则细胞聚集成团块或絮状）。一般我都离心一次弃去上清（去除残留的胰酶及漂浮的死细胞或细胞碎片）。</p>
<p>消化过度</p>
<p>马上用培养基中和，用吸管吹打细胞，收集全部的细胞到以无菌的离心管中800RPM 3分钟。弃上清，用全培重悬，换新的培养瓶继续培养！！状态不好的细胞在培养的过程中会死亡脱落，在换液的时候可以清除掉！！<br />
！</p>
<p>贴壁细胞消化传代时通常采用两种方法：</p>
<p>一、加入胰酶等细胞脱落后，再加培养基中止胰酶作用，离心传代；二、加入胰酶后，镜下观察待细胞始脱落时，弃胰酶，加培养液分瓶。但前者太麻烦，而后者有可能对细胞施加胰酶选择，因为总是贴壁不牢的细胞先脱落，对肿瘤细胞来说，这部分细胞有可能是恶性程度较高的细胞亚群。<br />
一种简单的消化传代方法。加入PBS洗去血清或加入胰酶先中和血清的作用（30s），弃之，再加入适量胰酶作用10s-40s（根据细胞消化的难易程度），弃之，这样依赖残余的胰酶就可将细胞消化单细胞。</p>
<p>对于较难消化的细胞，可以用2%利多卡因消化5-8分钟，然后再弃去，加培养基吹打也可以，对细胞的影响不大。</p>
<p>不用PBS也不用Hanks洗，只要把旧培养液吸的干净一点，直接加酶消化应该不会有什么问题。</p>
<p>弃培养液后，用0.04%的EDTA冲洗一次，再用1/4v的0.04%的EDTA室温孵育5min，弃取大部分EDTA，加入与剩余EDTA等量的胰酶（预热）总体积1/10v。消化到有细胞脱落。不过有人说EDTA对细胞不好，有证据吗？</p>
<p>培养的BASMC：倒掉旧培养液加入少量胰酶冲一下，倒掉再加入0.125-0.25%胰酶约6-10滴或1ml（25ml bottle）消化再加入适量新培养基中和，并分瓶这种方法简单、省事；效果很好并且不损失细胞！</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>WordPress玩转3721up附件上传插件「备用」</title>
		<link>http://www.91bio.com/fun-3721up-attachment-upload-wordpress-plug-in-standby/</link>
		<comments>http://www.91bio.com/fun-3721up-attachment-upload-wordpress-plug-in-standby/#comments</comments>
		<pubDate>Wed, 14 Sep 2011 03:12:12 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[杂谈]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645326</guid>
		<description><![CDATA[3721up是一个即传即得的免费网络存储空间服务商。和国内知名的dbank数据银行，115网盘等类似，都是提供文件上传下载服务的，对于普通用户可以随时上传自己的文件，共享给自己的好友进行下载。同时与其他服务商不同的是： 不用登录，就能上传文件 无需注册，轻松用QQ、新浪等网站账号管理文件 不限文件大小，不限容量，无需积分等级 文件永久保存，下载不限速度 为每一个文件提供下载统计和来路统计 还可以设置自己的域名和主页，甚至授权他人管理文件 看上去很棒吧，这只是针对普通用户的，本文的重点在于做为站长的使用，最近已经开放了上传接口功能，也就是说在你的网站中嵌入他的服务，这样在你的网站就可以拥有附件上传功能，同时不必担心自己空间的大小和流量以及访问量的问题。 不需要开发，几行简单的代码就能为你的网站、论坛、博客增加专用的上传功能 不需要购买服务器，3721up.com为你和你的网站用户提供无限量的存储空间 不需要付费，没有任何附加条件，任何站长都可轻松获取 如果你是一位站长，同时需要免费的上传下载功能，那么个人觉的3721UP做的很不错，很稳定 ，本人使用多半年了，效果一直不错。 下面开始我们的安装之旅，官方目前是在公测阶段，暂时只提供discuz论坛的接口，后续会开通phpWind论坛和wordPress博客的 接口，如果你使用的是discuz论坛程序，就不必往下看了，直接传送到官网查看说明即可，很详细，下面主要说一下wordpress博客的嵌入。 1. 首先登陆3721up网站进行注册登陆http://api.3721up.com 2. 登陆后添加一个新域名，也就是将自己网站的域名进行认证，选择一种验证方式，一般选择第一种，下载如图的txt文件上传到自己空间的根目录。 3. 获取接口代码，首先选择应用到“其他”，得到的文件信息选择“HTML格式”，最后输入输入内容的文本框”content”一般wordpress的文章内容textarea标签ID是content。 4. 点击“生成代码”将得到两行代码。打开wp-includes/general-template.php文件。 5. 定位在“&#60;div id=”media-buttons” class=”hide-if-no-js”&#62;”代码后，加入生成的第一段代码，进行调用链接的添加。 6.定位在“&#60;script type=”text/javascript”&#62; edCanvas = document.getElementById(‘&#60;?php echo $id; ?&#62;’); &#60;/script&#62;”代码后，加入生成的第二段代码，进行返回值赋值功能。 基本以上6步即可完成，在后台添加新文章就可以点击添加附件进行上传，即可返回生成下载地址， 由于生成的代码是简单的HTML格式，请在插入前将编辑器模式调整为HTML模式，生成的代码会追加到所有内容之后，你可以根据自己的需要进行修改样式发布。在可视化模式下可能不能成功返回下载地址。]]></description>
			<content:encoded><![CDATA[<div>3721up是一个即传即得的免费网络存储空间服务商。和国内知名的dbank数据银行，115网盘等类似，都是提供文件上传下载服务的，对于普通用户可以随时上传自己的文件，共享给自己的好友进行下载。同时与其他服务商不同的是：</div>
<ol id="fetures">
<li>不用登录，就能上传文件</li>
<li>无需注册，轻松用QQ、新浪等网站账号管理文件</li>
<li>不限文件大小，不限容量，无需积分等级</li>
<li>文件永久保存，下载不限速度</li>
<li>为每一个文件提供下载统计和来路统计</li>
<li>还可以设置自己的域名和主页，甚至授权他人管理文件</li>
</ol>
<div>看上去很棒吧，这只是针对普通用户的，本文的重点在于做为站长的使用，最近已经开放了上传接口功能，也就是说在你的网站中嵌入他的服务，这样在你的网站就可以拥有附件上传功能，同时不必担心自己空间的大小和流量以及访问量的问题。</div>
<ol>
<li>不需要开发，几行简单的代码就能为你的网站、论坛、博客增加专用的上传功能</li>
<li>不需要购买服务器，3721up.com为你和你的网站用户提供无限量的存储空间</li>
<li>不需要付费，没有任何附加条件，任何站长都可轻松获取</li>
</ol>
<div>如果你是一位站长，同时需要免费的上传下载功能，那么个人觉的3721UP做的很不错，很稳定 ，本人使用多半年了，效果一直不错。</div>
<div>下面开始我们的安装之旅，官方目前是在公测阶段，暂时只提供discuz论坛的接口，后续会开通phpWind论坛和wordPress博客的 接口，如果你使用的是discuz论坛程序，就不必往下看了，直接传送到官网查看说明即可，很详细，下面主要说一下wordpress博客的嵌入。</div>
<div>1. 首先登陆3721up网站进行注册登陆<a href="http://api.3721up.com/">http://api.3721up.com</a></div>
<div>2. 登陆后添加一个新域名，也就是将自己网站的域名进行认证，选择一种验证方式，一般选择第一种，下载如图的txt文件上传到自己空间的根目录。</div>
<div><a href="http://www.za58.com/wp-content/uploads/2011/09/23.jpg"><img title="WordPress玩转3721up附件上传插件 杂物吧" src="http://www.za58.com/wp-content/uploads/2011/09/23.jpg" alt="WordPress玩转3721up附件上传插件 杂物吧" width="540" height="385" /></a></div>
<div>3. 获取接口代码，首先选择应用到“其他”，得到的文件信息选择“HTML格式”，最后输入输入内容的文本框”content”一般wordpress的文章内容textarea标签ID是content。</div>
<div><img title="WordPress玩转3721up附件上传插件 杂物吧" src="http://www.za58.com/wp-content/uploads/2011/09/13.jpg" alt="WordPress玩转3721up附件上传插件 杂物吧" width="580" height="482" /></div>
<div>4. 点击“生成代码”将得到两行代码。打开wp-includes/general-template.php文件。</div>
<div><a href="http://www.za58.com/wp-content/uploads/2011/09/33.jpg"><img title="WordPress玩转3721up附件上传插件 杂物吧" src="http://www.za58.com/wp-content/uploads/2011/09/33.jpg" alt="WordPress玩转3721up附件上传插件 杂物吧" width="544" height="334" /></a></div>
<div>5. 定位在“&lt;div id=”media-buttons” class=”hide-if-no-js”&gt;”代码后，加入生成的第一段代码，进行调用链接的添加。</div>
<div>6.定位在“&lt;script type=”text/javascript”&gt; edCanvas = document.getElementById(‘&lt;?php echo $id; ?&gt;’); &lt;/script&gt;”代码后，加入生成的第二段代码，进行返回值赋值功能。</div>
<div>基本以上6步即可完成，在后台添加新文章就可以点击添加附件进行上传，即可返回生成下载地址，</div>
<div>由于生成的代码是简单的HTML格式，请在插入前将编辑器模式调整为HTML模式，生成的代码会追加到所有内容之后，你可以根据自己的需要进行修改样式发布。在可视化模式下可能不能成功返回下载地址。</div>
<div><a href="http://www.za58.com/wp-content/uploads/2011/09/41.jpg"><img title="WordPress玩转3721up附件上传插件 杂物吧" src="http://www.za58.com/wp-content/uploads/2011/09/41.jpg" alt="WordPress玩转3721up附件上传插件 杂物吧" width="600" height="292" /></a></div>
]]></content:encoded>
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		<title>十大高智商动物，猪头上榜</title>
		<link>http://www.91bio.com/ten-highly-intelligent-animals-pig-list/</link>
		<comments>http://www.91bio.com/ten-highly-intelligent-animals-pig-list/#comments</comments>
		<pubDate>Mon, 12 Sep 2011 03:15:41 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645323</guid>
		<description><![CDATA[据国外媒体报道，我们人类有学习、思考和解决问题的能力，我们有自知之明，我们能感知存在，我们有想法，也有感觉到其他人的感受。我们会制造工具，会使用骗术。有创造力，会抽象思维。我们有语言，可以用它表达复杂的想法。所有这些都是我们人类很聪明的证据。当然，除了人类之外，其他一些动物其实也很聪明： 1.最聪明的动物当然是人 最聪明的动物当然是人 科学家可能在如何最恰当、归全面地给“聪明”下定义的问题上意见不一，但一般都同意这样一个观点：人是非常聪明的高级动物。但伦敦动物园于2005年举办过一个展览，将志愿者关进猴山，体验一下动物的感觉。实验结果证明，在那个一个环境里，人比猴子聪明不了多少。 　2.人类的近亲黑猩猩 人类的近亲黑猩猩 3.有创造力的海豚 有创造力的海豚 澳大利亚海豚在海底寻找食物时，用海绵保护鼻子。科学家说，这只是海豚聪明的一个例证。它们发出可能呼叫海豚名字的哨声和卡嗒声，这些声音或许就是它 们用于交流的特有语言。20世纪60年代的一个著名实验发现，海豚一旦领悟到做新颖动作就能得到鱼的奖赏时，就会更多地发挥创造力。 　4.拥有自我意识的大象 拥有自我意识的大象 它们头脑的绝对尺寸显示，大象一定明白事理。研究人员发现，大象会安慰家庭成员，在需要时及时帮助其他动物物种，在水中嬉戏，通过震动双脚同对方进行 交流。科学家说，他们的最大收获是一头名为“幸福”的亚洲雌象在镜子里认出了自己。这种复杂行为只有人、类人猿和海豚才有。 　5.大脑袋的头足类动物 大脑袋的头足类动物 章鱼、鱿鱼和乌贼聪明吗？这是个引起科学兴趣的问题，但这些头足类动物确实是海洋中最聪明的无脊椎动物。头足类动物的脑环绕着食道，却具有一些人脑特征，像有折皱的脑叶和处理视觉以及触觉信息的独特区域等。 6.灵巧的乌鸦 灵巧的乌鸦 乌鸦是一种“心灵手巧”的动物，它们可以把小树枝、羽毛和其他碎片用做工具，诱捕位于很难达到的地方的猎物。一只名叫贝蒂的乌鸦会把一根直铁丝弯成钩 子，然后用它取回管子里的食物。这些鸟生下来就有制造工具的天赋，只要需通过观察长辈才能熟练掌握它们的技能，而这正是智商高的证据。研究显示，大乌鸦 (raven)能熟练利用社交影响得到更多保护和食物。 7.松鼠也是骗术高手 松鼠也是骗术高手 松鼠会耍阴谋诡计吗？可能会。研究人员最近报告说，松鼠会精心制作带有欺骗性的储藏室，让可能的小偷找不到自己的食物。试验过程中，在看到有人偷它们 的花生后，松鼠的这种骗人伎俩便会更多出现。研究人员称，他们找到了证明松鼠能够理解同伴意图的证据，虽然这只是一种后天学习行为而不是先天性行为。其它 研究显示，松鼠能够在脑中绘制一幅三维地图，进而回忆起坚果的储藏地点。在所有松鼠中，加利福尼亚的松鼠可能是最聪明的，它们会用响尾蛇的气味掩盖自己的 气味，并以此防身。 　8.狗的理解方式与人类似 狗的理解方式与人类似 作为人类最好的朋友，狗总是坚决服从主人的命令，但这就能说明它们很聪明吗？狗能够学会坐下、躺下和取物等本领，但它们能理解主人的真正意图吗？研究 人员称，狗至少能够通过非语言线索找到食物。科学家认为，它们的理解方式可能与人类理解他人想法的方式类似。在试验中，狗能够正确区分同类照片和风景照 片，也就是说，它们有能力形成“狗”的概念。 9.猫具有很强的适应性 猫具有很强的适应性 与狗主人一样，一些猫主人也训练他们的宝贝坐下、翻身和钻铁圈。采用带有奖励性的正强化训练，猫也能通过观察和模仿掌握这些本领。虽然训练猫的难度要 高于狗，但这并不意味着猫就比狗笨。猫专家说，猫是一种与众不同的动物，它们喜欢独处，受生存需要驱动。这允许它们适应大量不同的圈养环境，时间至少为 9500年，就连它们的羽冠也是如此。 10.猪很聪明，也很爱干净 猪很聪明，也很爱干净 猪总是一身污泥，似乎不太讲卫生，但一些专家指出，它们可能是已知圈养动物中最聪明同时也最爱干净的，甚至超过猫和狗。不幸的是，由于没有汗腺，猪才 会在泥浆中打滚以便让身体保持凉爽。上世纪90年代进行的试验找到了猪也很聪明的证据。试验中，猪要接受研究人员训练，用嘴巴移动屏幕上的指针，并用指针 找到它们第一次看到的涂鸦。结果显示，它们完成这项任务所需的时间居然与黑猩猩差不多，聪明程度由此可见一斑。]]></description>
			<content:encoded><![CDATA[<p>据国外媒体报道，我们人类有学习、思考和解决问题的能力，我们有自知之明，我们能感知存在，我们有想法，也有感觉到其他人的感受。我们会制造工具，会使用骗术。有创造力，会抽象思维。我们有语言，可以用它表达复杂的想法。所有这些都是我们人类很聪明的证据。当然，<strong>除了人类之外，其他一些动物其实也很聪明：</strong></p>
<p><strong>1.最聪明的动物当然是人</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140801200082321.jpg" alt="" border="0" /></div>
<div>最聪明的动物当然是人</div>
<p>科学家可能在如何最恰当、归全面地给“聪明”下定义的问题上意见不一，但一般都同意这样一个观点：人是非常聪明的高级动物。但伦敦动物园于2005年举办过一个展览，将志愿者关进猴山，体验一下动物的感觉。实验结果证明，在那个一个环境里，人比猴子聪明不了多少。</p>
<p><strong>　2.人类的近亲黑猩猩</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/1314081297614309.jpg" alt="" border="0" /></div>
<div>人类的近亲黑猩猩</div>
<p><strong>3.有创造力的海豚</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140821662618075.jpg" alt="" border="0" /></div>
<div>有创造力的海豚</div>
<p>澳大利亚海豚在海底寻找食物时，用海绵保护鼻子。科学家说，这只是海豚聪明的一个例证。它们发出可能呼叫海豚名字的哨声和卡嗒声，这些声音或许就是它 们用于交流的特有语言。20世纪60年代的一个著名实验发现，海豚一旦领悟到做新颖动作就能得到鱼的奖赏时，就会更多地发挥创造力。</p>
<p><strong>　4.拥有自我意识的大象</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/1314083350493533.jpg" alt="" border="0" /></div>
<div>拥有自我意识的大象</div>
<p>它们头脑的绝对尺寸显示，大象一定明白事理。研究人员发现，大象会安慰家庭成员，在需要时及时帮助其他动物物种，在水中嬉戏，通过震动双脚同对方进行 交流。科学家说，他们的最大收获是一头名为“幸福”的亚洲雌象在镜子里认出了自己。这种复杂行为只有人、类人猿和海豚才有。</p>
<p><strong> 　5.大脑袋的头足类动物</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140841464022086.jpg" alt="" border="0" /></div>
<div>大脑袋的头足类动物</div>
<p>章鱼、鱿鱼和乌贼聪明吗？这是个引起科学兴趣的问题，但这些头足类动物确实是海洋中最聪明的无脊椎动物。头足类动物的脑环绕着食道，却具有一些人脑特征，像有折皱的脑叶和处理视觉以及触觉信息的独特区域等。</p>
<p><strong>6.灵巧的乌鸦</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/1314085925259813.jpg" alt="" border="0" /></div>
<div>灵巧的乌鸦</div>
<p>乌鸦是一种“心灵手巧”的动物，它们可以把小树枝、羽毛和其他碎片用做工具，诱捕位于很难达到的地方的猎物。一只名叫贝蒂的乌鸦会把一根直铁丝弯成钩 子，然后用它取回管子里的食物。这些鸟生下来就有制造工具的天赋，只要需通过观察长辈才能熟练掌握它们的技能，而这正是智商高的证据。研究显示，大乌鸦 (raven)能熟练利用社交影响得到更多保护和食物。</p>
<p><strong> 7.松鼠也是骗术高手</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/1314086211413913.jpg" alt="" border="0" /></div>
<div>松鼠也是骗术高手</div>
<p>松鼠会耍阴谋诡计吗？可能会。研究人员最近报告说，松鼠会精心制作带有欺骗性的储藏室，让可能的小偷找不到自己的食物。试验过程中，在看到有人偷它们 的花生后，松鼠的这种骗人伎俩便会更多出现。研究人员称，他们找到了证明松鼠能够理解同伴意图的证据，虽然这只是一种后天学习行为而不是先天性行为。其它 研究显示，松鼠能够在脑中绘制一幅三维地图，进而回忆起坚果的储藏地点。在所有松鼠中，加利福尼亚的松鼠可能是最聪明的，它们会用响尾蛇的气味掩盖自己的 气味，并以此防身。</p>
<p><strong>　8.狗的理解方式与人类似<br />
</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140871436430406.jpg" alt="" border="0" /></div>
<div>狗的理解方式与人类似</div>
<p>作为人类最好的朋友，狗总是坚决服从主人的命令，但这就能说明它们很聪明吗？狗能够学会坐下、躺下和取物等本领，但它们能理解主人的真正意图吗？研究 人员称，狗至少能够通过非语言线索找到食物。科学家认为，它们的理解方式可能与人类理解他人想法的方式类似。在试验中，狗能够正确区分同类照片和风景照 片，也就是说，它们有能力形成“狗”的概念。</p>
<p><strong>9.猫具有很强的适应性<br />
</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140882030131340.jpg" alt="" border="0" /></div>
<div>猫具有很强的适应性</div>
<p>与狗主人一样，一些猫主人也训练他们的宝贝坐下、翻身和钻铁圈。采用带有奖励性的正强化训练，猫也能通过观察和模仿掌握这些本领。虽然训练猫的难度要 高于狗，但这并不意味着猫就比狗笨。猫专家说，猫是一种与众不同的动物，它们喜欢独处，受生存需要驱动。这允许它们适应大量不同的圈养环境，时间至少为 9500年，就连它们的羽冠也是如此。</p>
<p><strong>10.猪很聪明，也很爱干净</strong></p>
<div><img src="http://img.cnbeta.com/newsimg/110911/13140891303063037.jpg" alt="" border="0" /></div>
<div>猪很聪明，也很爱干净</div>
<p>猪总是一身污泥，似乎不太讲卫生，但一些专家指出，它们可能是已知圈养动物中最聪明同时也最爱干净的，甚至超过猫和狗。不幸的是，由于没有汗腺，猪才 会在泥浆中打滚以便让身体保持凉爽。上世纪90年代进行的试验找到了猪也很聪明的证据。试验中，猪要接受研究人员训练，用嘴巴移动屏幕上的指针，并用指针 找到它们第一次看到的涂鸦。结果显示，它们完成这项任务所需的时间居然与黑猩猩差不多，聪明程度由此可见一斑。</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Western blot之歌</title>
		<link>http://www.91bio.com/western-blot-song/</link>
		<comments>http://www.91bio.com/western-blot-song/#comments</comments>
		<pubDate>Sat, 10 Sep 2011 09:04:58 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[SDS-PAGE]]></category>
		<category><![CDATA[WB]]></category>
		<category><![CDATA[抗体]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645320</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 在之前找生物分享过PCR之歌的系列版本（移步http://www.91bio.com/pcr-song-a/），今天分享一个关于Western blot之歌。 No messy gels, no transfer tanks, no blots, no imaging, no manual analysis. It’s just simple! 不用制胶，不用转印，不用杂交，不用成像，不用分析，Western blot就这么简单。 老外真娱乐，一个产品都能来这么一首歌！ 相关介绍 ProteinSimple公司（原Cell Biosciences）研发生产出一种更为简便的Western检测仪器来替代传统的Western blot，用于分析蛋白大小及定量检测。Simon集成Western bolt所需的各项操作，无需使用凝胶、转印膜块、印迹膜和胶片，完成实现自动化操作。研究人员只需加样，然后按下开始按钮，小巧的Simon便可自动返回得到全面的实验结果。 省去了多个手动操作的步骤 减少实验时间快速得到实验结果 实验过程自动完成并得到可信的实验数据 没有进行蛋白质转印过程意味着蛋白的定量结果更加可信 允许实验室建立自己的标准化操作流程]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>在之前找生物分享过PCR之歌的系列版本（移步<a href="http://www.91bio.com/pcr-song-a/" target="_blank">http://www.91bio.com/pcr-song-a/</a>），今天分享一个关于Western blot之歌。<br />
<embed src="http://player.youku.com/player.php/sid/XMzAxNjE5NzA4/v.swf" quality="high" width="480" height="400" align="middle" allowScriptAccess="sameDomain" allowFullscreen="true" type="application/x-shockwave-flash"></embed><br />
No messy gels, no transfer tanks, no blots, no imaging, no manual analysis. It’s just simple!<br />
不用制胶，不用转印，不用杂交，不用成像，不用分析，Western blot就这么简单。<br />
老外真娱乐，一个产品都能来这么一首歌！<br />
<strong>相关介绍</strong><br />
ProteinSimple公司（原Cell Biosciences）研发生产出一种更为简便的Western检测仪器来替代传统的Western blot，用于分析蛋白大小及定量检测。Simon集成Western bolt所需的各项操作，无需使用凝胶、转印膜块、印迹膜和胶片，完成实现自动化操作。研究人员只需加样，然后按下开始按钮，小巧的Simon便可自动返回得到全面的实验结果。</p>
<p>省去了多个手动操作的步骤<br />
减少实验时间快速得到实验结果<br />
实验过程自动完成并得到可信的实验数据<br />
没有进行蛋白质转印过程意味着蛋白的定量结果更加可信<br />
允许实验室建立自己的标准化操作流程</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/western-blot-song/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>GE声明科学通讯2011年8月刊</title>
		<link>http://www.91bio.com/ge-statement-of-august-2011-issue-of-science-news/</link>
		<comments>http://www.91bio.com/ge-statement-of-august-2011-issue-of-science-news/#comments</comments>
		<pubDate>Fri, 09 Sep 2011 11:14:23 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[文档]]></category>
		<category><![CDATA[GE]]></category>
		<category><![CDATA[生物公司]]></category>
		<category><![CDATA[网络资源]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645318</guid>
		<description><![CDATA[2011年8月 &#160; GE推出新型高内涵细胞成像分析系统助力干细胞研究与应用 欢迎参加新一轮IN CELL高内涵分析系统图像竞赛 FTA卡亮相“2011国际刑侦、禁毒、反恐、经侦技术装备展览会暨学术交流会” 等温滴定量热技术——小分子药物开发不可或缺的标准信息 使用NTA或者抗组胺抗体捕获组氨酸标记的蛋白质 双向电泳样品制备 His常见问题解答 柱效测定以及影响因素 新一代层析介质Capto的灵活应用 使用MabSelect Xtra实现单克隆抗体IgG4高纯度和高产量中式规模捕获 Gyros 全自动微流控免疫测定工作站 Western Blotting秋季开学大优惠 国际纳米技术会议, 9月7-9日，北京 Label-free非标记技术巡讲-天津，武汉，广州 Sales Rep&#8212;Researchhot Sales Rep&#8212;Industrial hot Product Supporthot 各地经销商联系方式]]></description>
			<content:encoded><![CDATA[<table id="__01" width="760" border="0" cellspacing="0" cellpadding="0" align="center">
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<div align="center">2011年8月</div>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/top_04.gif" alt="" width="25" height="64" /></td>
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<p>&nbsp;</p>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-b_01.gif" alt="" width="760" height="20" /></td>
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<td height="30">
<table width="95%" border="0" cellspacing="0" cellpadding="0" align="center">
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<td valign="top" width="60%">
<table width="98%" border="0" cellspacing="0" cellpadding="0">
<tbody>
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<td width="29%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-L-01.jpg" alt="" width="110" height="100" /></td>
<td valign="top" width="71%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-L-xw.jpg" alt="" width="102" height="34" /><br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E9%97%BB1-%E5%B9%B2%E7%BB%86%E8%83%9E.pdf" target="_blank"></a>GE推出新型高内涵细胞成像分析系统助力干细胞研究与应用<br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E9%97%BB2.pdf" target="_blank"></a>欢迎参加新一轮IN CELL高内涵分析系统图像竞赛<br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E9%97%BB3.pdf" target="_blank"></a>FTA卡亮相“2011国际刑侦、禁毒、反恐、经侦技术装备展览会暨学术交流会”</td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td height="20"><img src="http://www.ebiotrade.com/custom/GE/110830/images/line.jpg" alt="" width="419" height="7" /></td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
<tbody>
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<td width="29%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-L-02.jpg" alt="" width="110" height="100" /></td>
<td valign="top" width="71%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-L-xyy.jpg" alt="" width="102" height="34" /><br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E5%BA%94%E7%94%A8-1.pdf" target="_blank"></a>等温滴定量热技术——小分子药物开发不可或缺的标准信息<br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E5%BA%94%E7%94%A8-2.pdf" target="_blank"></a>使用NTA或者抗组胺抗体捕获组氨酸标记的蛋白质</td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td height="20"><img src="http://www.ebiotrade.com/custom/GE/110830/images/line.jpg" alt="" width="419" height="7" /></td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td width="29%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-L-kefu.jpg" alt="" width="110" height="100" /></td>
<td valign="top" width="71%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-L-khyd.jpg" alt="" width="102" height="34" /></p>
<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E5%8F%8C%E5%90%91%E7%94%B5%E6%B3%B3%E6%A0%B7%E5%93%81%E5%88%B6%E5%A4%87.pdf" target="_blank"></a>双向电泳样品制备</td>
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<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E5%AE%A2%E6%88%B7%E5%9B%AD%E5%9C%B02his%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98%E8%A7%A3%E7%AD%941.pdf" target="_blank"></a>His常见问题解答</td>
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<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E5%AE%A2%E6%88%B7%E5%9B%AD%E5%9C%B0-3.pdf" target="_blank"></a>柱效测定以及影响因素</td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td height="20"><img src="http://www.ebiotrade.com/custom/GE/110830/images/line.jpg" alt="" width="419" height="7" /></td>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td width="29%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-L-ran.jpg" alt="" width="110" height="100" /></td>
<td valign="top" width="71%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-L-tlzl.jpg" alt="" width="97" height="34" /><br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E5%A1%AB%E6%96%99%E4%B8%93%E6%A0%8F-1.pdf" target="_blank"></a>新一代层析介质Capto的灵活应用<br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-L.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E5%A1%AB%E6%96%99%E4%B8%93%E6%A0%8F-2.pdf" target="_blank"></a>使用MabSelect Xtra实现单克隆抗体IgG4高纯度和高产量中式规模捕获</td>
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</td>
<td width="1%"></td>
<td valign="top" width="39%">
<table id="__01" width="279" border="0" cellspacing="0" cellpadding="0">
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<td width="279"><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-hui_01.gif" alt="" width="279" height="19" /></td>
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<table width="93%" border="0" cellspacing="0" cellpadding="0" align="center">
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-xcp.jpg" alt="" width="102" height="34" /></td>
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<table width="95%" border="0" cellspacing="0" cellpadding="0">
<tbody>
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<td width="38%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-r1.jpg" alt="" width="87" height="86" /></td>
<td valign="top" width="62%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-R.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/images/%E6%96%B0%E4%BA%A7%E5%93%81.pdf" target="_blank"></a>Gyros 全自动微流控免疫测定工作站</td>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-hui_05.gif" alt="" width="279" height="21" /></td>
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<table id="__01" width="279" border="0" cellspacing="0" cellpadding="0">
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<td width="279"><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-hui_01.gif" alt="" width="279" height="19" /></td>
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<table width="93%" border="0" cellspacing="0" cellpadding="0" align="center">
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-hui-cxzl.jpg" alt="" width="102" height="34" /></td>
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<table width="95%" border="0" cellspacing="0" cellpadding="0">
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<td width="38%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-r2.jpg" alt="" width="87" height="86" /></td>
<td valign="top" width="62%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-R.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110831/index.htm" target="_blank"></a>Western Blotting秋季开学大优惠</td>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-hui_05.gif" alt="" width="279" height="21" /></td>
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<table width="93%" border="0" cellspacing="0" cellpadding="0" align="center">
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-R-bycx.jpg" alt="" width="98" height="26" /></td>
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<td width="38%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/tu-r-shichang.jpg" alt="" width="87" height="86" /></td>
<td valign="top" width="62%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-R.jpg" alt="" width="10" height="10" /> <span style="color: #3672ba;">国际纳米技术会议, 9月7-9日，北京</span><br />
<img src="http://www.ebiotrade.com/custom/GE/110830/images/dot-R.jpg" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110901/index.htm" target="_blank"></a>Label-free非标记技术巡讲-天津，武汉，广州</td>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-hui_05.gif" alt="" width="279" height="21" /></td>
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<table width="95%" border="0" cellspacing="0" cellpadding="0" align="center">
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<table id="__01" width="226" border="0" cellspacing="0" cellpadding="0">
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-jxns_01.gif" alt="" width="226" height="20" /></td>
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<table width="93%" border="0" cellspacing="0" cellpadding="0" align="center">
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<td valign="top" width="52%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-zxns.jpg" alt="" width="98" height="29" /></td>
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<div align="right"><img src="http://www.ebiotrade.com/custom/GE/110830/images/pic-xzk.jpg" alt="" width="41" height="41" /></div>
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<table width="98%" border="0" cellspacing="0" cellpadding="0">
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<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot.png" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/job.htm" target="_blank"></a>Sales Rep&#8212;Research<sup>hot</sup></td>
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<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot.png" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/job.htm" target="_blank"></a>Sales Rep&#8212;Industrial <sup>hot</sup></td>
</tr>
<tr>
<td height="22"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot.png" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110830/job.htm" target="_blank"></a>Product Support<sup>hot</sup></td>
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</td>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-jxns_05.gif" alt="" width="226" height="17" /></td>
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<td><img src="http://www.ebiotrade.com/custom/GE/110830/images/kuang-zlxz_01.gif" alt="" width="226" height="20" /></td>
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<td valign="top" width="50%"><img src="http://www.ebiotrade.com/custom/GE/110830/images/w-zlxz.jpg" alt="" width="98" height="29" /></td>
<td width="50%">
<div align="right"><img src="http://www.ebiotrade.com/custom/GE/110830/images/pic-down.jpg" alt="" width="41" height="41" /></div>
</td>
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<td colspan="2" height="40"><img src="http://www.ebiotrade.com/custom/GE/110830/images/dot.png" alt="" width="10" height="10" /> <a name="link" href="http://www.ebiotrade.com/custom/GE/magCount.asp?type=index&amp;link=http://www.ebiotrade.com/custom/GE/110802/images/%B8%F7%B5%D8%BE%AD%CF%FA%C9%CC%C1%AA%CF%B5%B7%BD%CA%BD.pdf" target="_blank"></a>各地经销商联系方式</td>
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<td height="118">
<div align="center"><a href="http://www.ebiotrade.com/custom/GE/110830/feedback.htm" target="_blank"><img src="http://www.ebiotrade.com/custom/GE/110830/images/pic-fk.jpg" alt="" width="202" height="94" border="0" /></a></div>
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]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/ge-statement-of-august-2011-issue-of-science-news/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>WB过程中如何保证完美的蛋白转印</title>
		<link>http://www.91bio.com/wb-process-of-how-to-ensure-a-perfect-transfer-protein/</link>
		<comments>http://www.91bio.com/wb-process-of-how-to-ensure-a-perfect-transfer-protein/#comments</comments>
		<pubDate>Wed, 07 Sep 2011 10:14:14 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[SDS-PAGE]]></category>
		<category><![CDATA[WB]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645306</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ WB是大家比较常做的实验，关于WB的技巧网上描述的也比较多，今找生物继续关注WB的实验技巧！ 在WB过程中从SDS-PAGE胶上转移蛋白至膜上是非常关键的步骤！优化转移时间往往需要实验多次，下面就讲几条关于如何保证蛋白完全转移的小技巧，适合新手参考: 使用预染的marker.  预染marker不仅能够直观的观察到跑胶情况，而且在转移过程中也是很好的工具，在完成印迹后观察膜上的  marker ，看是否所有条带都已经转移至膜上。 在转印装置中加两块膜 小分子量的蛋白转移的比较快，而为保证大分子蛋白的转印，长时间的转印可能使小分子担保透过膜，因此，加入两块膜是个明智的选择，如果能在第二块膜上检测到小分子蛋白，说明转印时间过长。 在转印后对胶染色.  如果转印时间不够的化，通过对胶染色，在胶上能够观察到未转移完全的蛋白，这种情况在转印大分子蛋白是常见，使用银染或者考马斯亮蓝的方法都可以。 以上只是一些小技巧，充分利用便于分析结果，节省你的时间！ 此外找生物也找到一片关于WB技巧的一个实验视频，供参考！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>WB是大家比较常做的实验，关于WB的技巧网上描述的也比较多，今找生物继续关注WB的实验技巧！</p>
<p style="text-align: center;"><img class="aligncenter" src="http://bitesizebio.s3.amazonaws.com/content/uploads/2011/08/western-blot-tips.jpg" alt="" width="600" height="250" /></p>
<p>在WB过程中从SDS-PAGE胶上转移蛋白至膜上是非常关键的步骤！优化转移时间往往需要实验多次，下面就讲几条关于如何保证蛋白完全转移的小技巧，适合新手参考:</p>
<ul>
</ul>
<ul>
<li><strong>使用预染的marker.</strong>  预染marker不仅能够直观的观察到跑胶情况，而且在转移过程中也是很好的工具，在完成印迹后观察膜上的  marker ，看是否所有条带都已经转移至膜上。</li>
<li><strong>在转印装置中加两块膜 </strong>小分子量的蛋白转移的比较快，而为保证大分子蛋白的转印，长时间的转印可能使小分子担保透过膜，因此，加入两块膜是个明智的选择，如果能在第二块膜上检测到小分子蛋白，说明转印时间过长。</li>
<li><strong>在转印后对胶染色. </strong> 如果转印时间不够的化，通过对胶染色，在胶上能够观察到未转移完全的蛋白，这种情况在转印大分子蛋白是常见，使用银染或者考马斯亮蓝的方法都可以。</li>
</ul>
<p>以上只是一些小技巧，充分利用便于分析结果，节省你的时间！<br />
此外找生物也找到一片关于WB技巧的一个实验视频，供参考！<br />
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		</item>
		<item>
		<title>基因克隆技术全攻略</title>
		<link>http://www.91bio.com/cloning-technology-raiders/</link>
		<comments>http://www.91bio.com/cloning-technology-raiders/#comments</comments>
		<pubDate>Tue, 06 Sep 2011 11:17:10 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645290</guid>
		<description><![CDATA[一直以来都想把自己在基因克隆方面的心得写出来，让更多的刚刚进入生命科学领域的人受益，因为自己刚开始做克隆时也遇到过各种问题，经过较长时间的总结和 实践，我的题组现在的基因克隆都是一次到位的，基本不需要重复做。其实我只是一个只有几十万科研经费的小青椒，不过我对科研非常热爱，我喜欢买实验用的各 种酶啊，好用的耗材之类的东东超过我对自己的衣服鞋子的热爱，所以我看起来穿的及其普通，可是我的实验花费有点奢华，呵呵，可能像我这样的人不多吧，哈 哈，反正无所谓开心就好。 （1）是酶切位点的选择。我的实验室有Takara、Promega以及NEB三种公司的常用的 酶，这极大的丰富了我们的选择，所以在设计PCR产物的酶切位点之前首先要看看哪两个酶之间是可以进行同时酶切的。因为这三家公司的双酶切表的组合完全不 同，最佳的方案是我们能够按照需要去选择合适的酶。有人说这得花很多钱吧，其实不然，Takara几乎每年9月都有一次促销活动，在他们七折的时候我一下 买了三千块钱的酶，这一年来有用之不尽的感觉。Promega的酶也非常好用，而且长期五折，我也是常用的酶买了一批放在实验室里。至于NEB的实在是有 一点贵的，我一般不批量买了，在NEB买的一般都是不常用的酶，比如FseI、AscI等等。酶的选择是实验成功的关键吆。 （2）PCR 引物的设计这一点我不想多说，虽然有很多的攻略里面讲到了PCR引物设计的原则等等，大家设计的时候要参考各种原则，我认为不然，因为做过实验的战友都清 楚，有的时候很多PCR引物的选择是没有选择的，比如我要扩增一个完整的基因的ORF框，那么它的起始密码子，终止密码子部分都要克隆出来的，不能多也不 能少一个碱基，即使起始部位或者终止部位的AT含量很高，高到你难以忍受，那怎么办呢，基本我们没有选择，如果实在是没办法的条件下，只能在PCR引物的 5端加入人为设计的碱基而把引物的扩增部分后移或前移来避开难以扩增的部位，我不知道说清楚没有，如果引物序列OK，可以忽略上句话。所以大多数情况下引 物我们是没得选择的，那么我们只能从PCR扩增条件上下功夫。 （3）PCR扩增对于PCR扩增其实不同的基因可能策略不同，我来说几点相同的。首先很多新手会忽略引物的浓度问题，我在最开始做PCR的时候因为当时的 基因非常容易扩增，所以其实我的条件并不是最佳的，但当时把基因扩出来了我也没有在意，直到有一天我需要在基因的5端加入3个HA标签，这样的PCR引物 长度差异很大，一支引物100多bp，一支引物只有30bp，于是当我还有以前的条件时我扩不出任何的基因。当时扩了几次都不成功，各种温度都试过了也不 成。于是我静下心来，把PCR的实验条件进行了全方位优化，在PCR反应体系中，把引物调整到各种浓度的，把模板调整到各种浓度的，有的加Mg2+，有的 加BSA，还使用梯度PCR的条件，试了各种扩增温度的，结果让我很开心，最后我的基因被扩增出来了，而且好亮好亮的那种。记得当时自己高兴地跳了起来。 也许这就是科研的魅力吧！在这次试验中我找到了最佳的PCR条件，这是三年前的事了，这个条件让我在三年中屡试不爽，几十个基因的扩增从未失手过。其实体 系很简单，50ul体系中buffer 5ul、Mg2+ 1mM、dNTP 0.2mM、引物每支1ul（配成10umol/L浓度)、PCR酶一般是0.5ul、其余部分用水补平，混匀，离心一下，进行PCR扩增。其中引物从公 司拿到干粉后我一般用水溶解至100umol/L浓度保存，吸取少量稀释十倍后用于PCR反应，这个浓度是最佳的。所以PCR体系中引物并不是越多越好， 同样的模板的量也很关键，一般我都在10ng-100ng之间，太少或太多都会抑制PCR反应。当然，不同的基因其退火温度差异较大，建议第一次做直接做 梯度PCR，设置的温度范围宽些，总会有扩出来的。反正把反应体系加好，把温度控制好应该就万事大吉了，如果这样仍然扩不出来，那就直接调整DNA模版的 量吧，其他的因素应该不是原因（当然得保证引物，以及酶的质量得前提下）。 （4）PCR产物的酶切，这是最简单的一步，一般我都是酶切过夜的。因为我认为PCR产物切得尽可能的充分对克隆很重要，毕竟保护性碱基只有几个。 （5） 质粒的酶切。虽然质粒的酶切很简单但是却很讲究，决定着克隆的成败。质粒提取我一般都用试剂盒，天根的很便宜了，现在好像一盒已经六折，一盒有200个， 可以用很久。质粒提取完毕后我会用紫外分光光度法对质粒进行定量测定，根据A260的值计算出质粒的量，然后再进行酶切，一般酶切体系60ul，60ul 体系中我只切总量1ug的质粒，一次切两管，酶切过夜后切胶回收或者不切胶直接回收，这取决于两个限制性内切酶之间的距离，十几bp以内我就直接回收了， 如果偏大就要切胶回收。 （6）连接 连接我采用的是Promega公司的T4 DNA连接酶，它的特点是22度连接三小时以上几款，这样我就可以在上午把质粒片段以及PCR片段回收后马上做连接，连接一个白天，到下午可以做转化了， 涂板，过夜培养第二天早上看结果。然后挑克隆（一般我一个基因就挑四个克隆足已）培养一白天，下午稍晚些提质粒，然后马上酶切鉴定，一般酶切鉴定体系中我 都做20ul体系，酶用0.5微升就够了（呵呵，该省的就省点吧），酶切一个小时跑胶就可以知道克隆是否成功了。这样从PCR到克隆鉴定完毕，一共三天。 不过从我带学生的经验来看，从一个懵懵懂懂的新手到成功掌握该技术快则半个月，多则一个月，引人而异。各位也试试看吧！ 本文转自丁香园论坛：http://biochemistry.dxy.cn/bbs/topic/20988691]]></description>
			<content:encoded><![CDATA[<p>一直以来都想把自己在基因克隆方面的心得写出来，让更多的刚刚进入生命科学领域的人受益，因为自己刚开始做克隆时也遇到过各种问题，经过较长时间的总结和 实践，我的题组现在的基因克隆都是一次到位的，基本不需要重复做。其实我只是一个只有几十万科研经费的小青椒，不过我对科研非常热爱，我喜欢买实验用的各 种酶啊，好用的耗材之类的东东超过我对自己的衣服鞋子的热爱，所以我看起来穿的及其普通，可是我的实验花费有点奢华，呵呵，可能像我这样的人不多吧，哈 哈，反正无所谓开心就好。<br />
<img class="aligncenter" title="j" src="http://www.foodmate.net/ddimg/uploadimg/20050518/193551331.jpg" alt="" width="588" height="546" /><br />
（1）是酶切位点的选择。我的实验室有Takara、Promega以及NEB三种公司的常用的 酶，这极大的丰富了我们的选择，所以在设计PCR产物的酶切位点之前首先要看看哪两个酶之间是可以进行同时酶切的。因为这三家公司的双酶切表的组合完全不 同，最佳的方案是我们能够按照需要去选择合适的酶。有人说这得花很多钱吧，其实不然，Takara几乎每年9月都有一次促销活动，在他们七折的时候我一下 买了三千块钱的酶，这一年来有用之不尽的感觉。Promega的酶也非常好用，而且长期五折，我也是常用的酶买了一批放在实验室里。至于NEB的实在是有 一点贵的，我一般不批量买了，在NEB买的一般都是不常用的酶，比如FseI、AscI等等。酶的选择是实验成功的关键吆。</p>
<p>（2）PCR 引物的设计这一点我不想多说，虽然有很多的攻略里面讲到了PCR引物设计的原则等等，大家设计的时候要参考各种原则，我认为不然，因为做过实验的战友都清 楚，有的时候很多PCR引物的选择是没有选择的，比如我要扩增一个完整的基因的ORF框，那么它的起始密码子，终止密码子部分都要克隆出来的，不能多也不 能少一个碱基，即使起始部位或者终止部位的AT含量很高，高到你难以忍受，那怎么办呢，基本我们没有选择，如果实在是没办法的条件下，只能在PCR引物的 5端加入人为设计的碱基而把引物的扩增部分后移或前移来避开难以扩增的部位，我不知道说清楚没有，如果引物序列OK，可以忽略上句话。所以大多数情况下引 物我们是没得选择的，那么我们只能从PCR扩增条件上下功夫。</p>
<p>（3）PCR扩增对于PCR扩增其实不同的基因可能策略不同，我来说几点相同的。首先很多新手会忽略引物的浓度问题，我在最开始做PCR的时候因为当时的 基因非常容易扩增，所以其实我的条件并不是最佳的，但当时把基因扩出来了我也没有在意，直到有一天我需要在基因的5端加入3个HA标签，这样的PCR引物 长度差异很大，一支引物100多bp，一支引物只有30bp，于是当我还有以前的条件时我扩不出任何的基因。当时扩了几次都不成功，各种温度都试过了也不 成。于是我静下心来，把PCR的实验条件进行了全方位优化，在PCR反应体系中，把引物调整到各种浓度的，把模板调整到各种浓度的，有的加Mg2+，有的 加BSA，还使用梯度PCR的条件，试了各种扩增温度的，结果让我很开心，最后我的基因被扩增出来了，而且好亮好亮的那种。记得当时自己高兴地跳了起来。 也许这就是科研的魅力吧！在这次试验中我找到了最佳的PCR条件，这是三年前的事了，这个条件让我在三年中屡试不爽，几十个基因的扩增从未失手过。其实体 系很简单，50ul体系中buffer 5ul、Mg2+ 1mM、dNTP 0.2mM、引物每支1ul（配成10umol/L浓度)、PCR酶一般是0.5ul、其余部分用水补平，混匀，离心一下，进行PCR扩增。其中引物从公 司拿到干粉后我一般用水溶解至100umol/L浓度保存，吸取少量稀释十倍后用于PCR反应，这个浓度是最佳的。所以PCR体系中引物并不是越多越好， 同样的模板的量也很关键，一般我都在10ng-100ng之间，太少或太多都会抑制PCR反应。当然，不同的基因其退火温度差异较大，建议第一次做直接做 梯度PCR，设置的温度范围宽些，总会有扩出来的。反正把反应体系加好，把温度控制好应该就万事大吉了，如果这样仍然扩不出来，那就直接调整DNA模版的 量吧，其他的因素应该不是原因（当然得保证引物，以及酶的质量得前提下）。</p>
<p>（4）PCR产物的酶切，这是最简单的一步，一般我都是酶切过夜的。因为我认为PCR产物切得尽可能的充分对克隆很重要，毕竟保护性碱基只有几个。</p>
<p>（5） 质粒的酶切。虽然质粒的酶切很简单但是却很讲究，决定着克隆的成败。质粒提取我一般都用试剂盒，天根的很便宜了，现在好像一盒已经六折，一盒有200个， 可以用很久。质粒提取完毕后我会用紫外分光光度法对质粒进行定量测定，根据A260的值计算出质粒的量，然后再进行酶切，一般酶切体系60ul，60ul 体系中我只切总量1ug的质粒，一次切两管，酶切过夜后切胶回收或者不切胶直接回收，这取决于两个限制性内切酶之间的距离，十几bp以内我就直接回收了， 如果偏大就要切胶回收。</p>
<p>（6）连接 连接我采用的是Promega公司的T4 DNA连接酶，它的特点是22度连接三小时以上几款，这样我就可以在上午把质粒片段以及PCR片段回收后马上做连接，连接一个白天，到下午可以做转化了， 涂板，过夜培养第二天早上看结果。然后挑克隆（一般我一个基因就挑四个克隆足已）培养一白天，下午稍晚些提质粒，然后马上酶切鉴定，一般酶切鉴定体系中我 都做20ul体系，酶用0.5微升就够了（呵呵，该省的就省点吧），酶切一个小时跑胶就可以知道克隆是否成功了。这样从PCR到克隆鉴定完毕，一共三天。</p>
<p>不过从我带学生的经验来看，从一个懵懵懂懂的新手到成功掌握该技术快则半个月，多则一个月，引人而异。各位也试试看吧！</p>
<p>本文转自丁香园论坛：http://biochemistry.dxy.cn/bbs/topic/20988691</p>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>小技巧之简单的寻找SDS-PAGE上样孔</title>
		<link>http://www.91bio.com/tips-of-the-simple-way-to-look-like-holes-on-the-sds-page/</link>
		<comments>http://www.91bio.com/tips-of-the-simple-way-to-look-like-holes-on-the-sds-page/#comments</comments>
		<pubDate>Tue, 06 Sep 2011 09:43:32 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[SDS-PAGE]]></category>
		<category><![CDATA[下游纯化]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645288</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 今天带给大伙一个实用的小技巧，简单的寻找SDS-PAGE胶上的上样孔！why？做过的同学应该有感受的，找生物就不啰嗦了！ 在市售的预制胶上一般都已标示出上样孔的位置，找生物却无福使用预制胶，都是自己制备，那应该怎么办呢？自己动手丰衣足食！且看下面的介绍： 在浓缩胶内加一些溴芬蓝，就是这么简单！一般加入 0.003% 就足够了，当然了你也可以根据你自己的喜好添加。更简单的方法是添加到4X 浓缩胶缓冲液中(0.5M Tris-HCl pH 6.8,) ，终浓度为 0.012%.看看效果把： 在上样之前的样子 开始上样了&#8230; &#8230;跑胶过程中&#8230; &#8230;跑到底部了. 是不是很容易看到上样孔？. 还有注意的一点是，一点要让浓缩胶的颜色与你的上样缓冲液的颜色有差别，可以在上样缓冲液内添加溴芬蓝增加样品颜色！ 怎么样想不想去试试啊？欢迎反馈效果哦！ 原作者：Jode Plank: Jode is a Postdoctoral Fellow studying DNA repair at the University of California at Davis. He received his PhD in Biochemistry from Duke University.]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>今天带给大伙一个实用的小技巧，简单的寻找SDS-PAGE胶上的上样孔！why？做过的同学应该有感受的，找生物就不啰嗦了！</p>
<p>在市售的预制胶上一般都已标示出上样孔的位置，找生物却无福使用预制胶，都是自己制备，那应该怎么办呢？自己动手丰衣足食！且看下面的介绍：</p>
<p style="text-align: center;">在浓缩胶内加一些溴芬蓝，就是这么简单！一般加入 0.003% 就足够了，当然了你也可以根据你自己的喜好添加。更简单的方法是添加到4X 浓缩胶缓冲液中(0.5M Tris-HCl pH 6.8,) ，终浓度为 0.012%.看看效果把：</p>
<div id="attachment_3287" style="text-align: center;"><img src="http://bitesizebio.s3.amazonaws.com/content/uploads/2010/03/Pre-load1.jpg" alt="Before loading the samples" width="494" height="371" />在上样之前的样子</p>
</div>
<div id="attachment_3291" style="text-align: center;"><img src="http://bitesizebio.s3.amazonaws.com/content/uploads/2010/03/Loaded1.jpg" alt="Samples Loaded" width="494" height="371" />开始上样了&#8230;</p>
</div>
<div id="attachment_3292" style="text-align: center;"><img src="http://bitesizebio.s3.amazonaws.com/content/uploads/2010/03/Mid-run1.jpg" alt="20 minutes into the run" width="494" height="371" />&#8230;跑胶过程中&#8230;</p>
</div>
<div id="attachment_3293"><img class="aligncenter" src="http://bitesizebio.s3.amazonaws.com/content/uploads/2010/03/Finished1.jpg" alt="After an hour, close to the end of the run" width="494" height="371" /></p>
<p style="text-align: center;">&#8230;跑到底部了.</p>
</div>
<p>是不是很容易看到上样孔？. 还有注意的一点是，一点要让浓缩胶的颜色与你的上样缓冲液的颜色有差别，可以在上样缓冲液内添加溴芬蓝增加样品颜色！</p>
<p>怎么样想不想去试试啊？欢迎反馈效果哦！</p>
<p>原作者：<strong><a title="View the profile of Jode Plank" href="http://bitesizebio.com/profiles/jode-plank/">Jode Plank</a>: </strong> Jode is a Postdoctoral Fellow studying DNA repair at the University of California at Davis. He received his PhD in Biochemistry from Duke University.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/tips-of-the-simple-way-to-look-like-holes-on-the-sds-page/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>毁灭你RNA抽提的5种操作习惯</title>
		<link>http://www.91bio.com/rna-extraction-destroy-your-operating-habits-of-the-five/</link>
		<comments>http://www.91bio.com/rna-extraction-destroy-your-operating-habits-of-the-five/#comments</comments>
		<pubDate>Mon, 05 Sep 2011 11:48:56 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[技巧]]></category>
		<category><![CDATA[RNA]]></category>
		<category><![CDATA[分子生物]]></category>
		<category><![CDATA[实验技巧]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645282</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！这两天回家没有更新找生物，抱歉了，今天继续放松5系列的实验操作技巧。 操作RNA比较烦人，在网上也有不少的教程，都提到的一点就是注意RNA酶的污染，在做RNA抽提前，都如临大敌，下面这篇文章就讲述了5个操作过程中易犯的错误:  1. 物品不放置在冰上操作 保证操作所用的试剂处于低温，可以有效的抑制RNA酶的活性，当然在进行活细胞收集阶段可以在室温操作，但进行裂解后抽提时应该放在冰上操作，并再操作前预冷使用的试剂和buffer，我曾听说有人把所有的物品比如吸管和枪头等都进行预冷。 2. 不使用标准化的去酶的枪头 3. 不带手套操作 这个都知道的，人体带有大量的RNA酶，还有一点要注意勤换手套。在你有任何怀疑有污染的时候，就坚定的换个手套，hold住不？ 4. 使用旧的或开启过的离心管 所谓的无菌的离心管，在实验室内往往是不无菌的，您懂的！当你打开一次就是增加一次污染的机会，除非有很高的无菌操作技术，还是换新的吧。  5. 不使用RNase-free 的水和试剂 如果这样的，受小弟一拜，哥，你牛B！现有有些生物公司提供RNase抑制剂，在开始实验前喷一喷，效果还是不错的哦，亲！ 以上只是大体的列出几条，关于RNA抽提的技巧还有很多，欢迎留言补充哦！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！这两天回家没有更新找生物，抱歉了，今天继续放松5系列的实验操作技巧。</p>
<p>操作RNA比较烦人，在网上也有不少的教程，都提到的一点就是注意RNA酶的污染，在做RNA抽提前，都如临大敌，下面这篇文章就讲述了5个操作过程中易犯的错误:</p>
<p><strong> 1. 物品不放置在冰上操作</strong></p>
<p>保证操作所用的试剂处于低温，可以有效的抑制RNA酶的活性，当然在进行活细胞收集阶段可以在室温操作，但进行裂解后抽提时应该放在冰上操作，并再操作前预冷使用的试剂和buffer，我曾听说有人把所有的物品比如吸管和枪头等都进行预冷。</p>
<p><strong>2. 不使用标准化的去酶的枪头</strong></p>
<p><strong>3. 不带手套操作</strong></p>
<p>这个都知道的，人体带有大量的RNA酶，还有一点要注意勤换手套。在你有任何怀疑有污染的时候，就坚定的换个手套，hold住不？</p>
<p><strong>4. 使用旧的或开启过的离心管</strong></p>
<p>所谓的无菌的离心管，在实验室内往往是不无菌的，您懂的！当你打开一次就是增加一次污染的机会，除非有很高的无菌操作技术，还是换新的吧。</p>
<p><strong> 5. 不使用RNase-free 的水和试剂</strong></p>
<p>如果这样的，受小弟一拜，哥，你牛B！现有有些生物公司提供RNase抑制剂，在开始实验前喷一喷，效果还是不错的哦，亲！</p>
<p>以上只是大体的列出几条，关于RNA抽提的技巧还有很多，欢迎留言补充哦！</p>
]]></content:encoded>
			<wfw:commentRss>http://www.91bio.com/rna-extraction-destroy-your-operating-habits-of-the-five/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>能使生物变透明的神奇药水</title>
		<link>http://www.91bio.com/can-become-transparent-magic-potion-biological/</link>
		<comments>http://www.91bio.com/can-become-transparent-magic-potion-biological/#comments</comments>
		<pubDate>Fri, 02 Sep 2011 12:44:46 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[新技术]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645276</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 一只小鼠的大脑内到底发生了什么？尽管研究人员已经开发出了使神经细胞发出荧光的技术，但他们依然很难在一个完整的动物体内观察到这些细胞。要是这些生物组织样本能够透明该多好呀!如今，日本琦玉县RIKEN脑科学研究所的Hiroshi Hama和同事偶然发现了一种由尿素、甘油和肥皂构成的混合物，这种神奇的“药水”能够使合成的细胞膜变得透明。 当研究人员用一个发育中的小鼠胚胎测试这种混合物后，他们发现，该混合物将细胞中的所有色素统统去除，使这些细胞变得完全透明（右图）。 用福尔马林处理过的实验鼠胚胎和脑组织在这种试剂中浸泡2天至2周，就会变得像果冻一样透明。研究人员还使用能合成黄色荧光蛋白的实验鼠大脑组织测试这种试剂的特性，发现这种试剂完全不影响荧光信号。 这项技术使得科学家能够观察到埋在大脑中几毫米深的荧光细胞。研究人员在本周的《自然-神经科学》网络版上报告了这一研究成果。 研究人员还没有彻底弄清试剂究竟为何能使生物组织变透明。他们推测，这是因为试剂浸润到组织细胞内部以及细胞之间的空隙中，有效抑制了光的散射。新型试剂能广泛适用于动物的组织样本，如果将来用于人的病理样本，将有助于医生观察到样本的每个细节、切实把握病变情况。 但是不用担心看不见的老鼠会爬到你的厨房里——Scale的使用对于活体动物而言劲儿太大了。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>一只小鼠的大脑内到底发生了什么？尽管研究人员已经开发出了使神经细胞发出荧光的技术，但他们依然很难在一个完整的动物体内观察到这些细胞。要是这些生物组织样本能够透明该多好呀!如今，日本琦玉县RIKEN脑科学研究所的Hiroshi Hama和同事偶然发现了一种由尿素、甘油和肥皂构成的混合物，这种神奇的“药水”能够使合成的细胞膜变得透明。</p>
<div></div>
<p>当研究人员用一个发育中的小鼠胚胎测试这种混合物后，他们发现，该混合物将细胞中的所有色素统统去除，使这些细胞变得完全透明（右图）。</p>
<p>用福尔马林处理过的实验鼠胚胎和脑组织在这种试剂中浸泡2天至2周，就会变得像果冻一样透明。研究人员还使用能合成黄色荧光蛋白的实验鼠大脑组织测试这种试剂的特性，发现这种试剂完全不影响荧光信号。</p>
<p>这项技术使得科学家能够观察到埋在大脑中几毫米深的荧光细胞。研究人员在本周的《自然-神经科学》网络版上报告了这一研究成果。</p>
<p>研究人员还没有彻底弄清试剂究竟为何能使生物组织变透明。他们推测，这是因为试剂浸润到组织细胞内部以及细胞之间的空隙中，有效抑制了光的散射。新型试剂能广泛适用于动物的组织样本，如果将来用于人的病理样本，将有助于医生观察到样本的每个细节、切实把握病变情况。</p>
<p>但是不用担心看不见的老鼠会爬到你的厨房里——Scale的使用对于活体动物而言劲儿太大了。</p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>引物合成常见问题</title>
		<link>http://www.91bio.com/primer-synthesis-frequently-asked-questions/</link>
		<comments>http://www.91bio.com/primer-synthesis-frequently-asked-questions/#comments</comments>
		<pubDate>Fri, 02 Sep 2011 11:44:04 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[DNA]]></category>
		<category><![CDATA[分子生物学]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645294</guid>
		<description><![CDATA[Q1.引物是如何合成的？ 目前引物合成基本采用固相亚磷酰胺三酯法。DNA合成仪有很多种,无论采用什么机器合成，合成的原理都相同，主要差别在于合成产率的高低，试剂消耗量的不同和单个循环用时的多少。 (1)    去保护：加入Deblocking脱去碱基上5&#8242;- OH的保护基团DMT，获得游离的5&#8242;- OH； (2)    耦合：同时加入活化剂和新的碱基，新的碱基5&#8242;-OH仍然被DMT保护，3&#8242;端被活化与溶液中游离的5&#8242;-OH发生耦合反应； (3)    封闭：耦合反应中极少数5&#8242;- OH没有参加反应，用封闭试剂终止其后继续发生反应； (4)    氧化：加入氧化剂使其由核苷亚磷酸酯形成更稳定的核苷磷酸酯。 Q2.引物合成后如何处理？ 切割与脱保护基：将合成好的寡核苷酸链从支持物上化学切割下来。常用新鲜的浓氨水来裂解CPG与初始核苷之间的酯键。断裂下来的寡核苷酸带有自由的3&#8242;羟基。 纯化：根据所合成寡核苷酸的组成和应用来选定纯化的方法。常用的纯化方法有：C18、OPC、PAGE和HPLC。 定量：根据寡核苷酸在260nm处的紫外吸收来定量。 储存：分装抽干。 Q3.需要什么级别的引物？ 根据实验需要，确定订购引物的纯度级别。 应用 引物长度要求 纯度级别要求 一般PCR扩增 &#60; 60base HEPD &#62;60 base PAGE 诊断PCR扩增 &#60; 40base HEPD, PAGE DNA测序 20base左右 HEPD 亚克隆，点突变等 根据实验要求定 HEPD, PAGE，HPLC 基因构建（全基因合成） 根据实验要求定 HEPDPAGE 反义核酸 根据实验要求定 HEPDPAGE 修饰引物 根据实验要求定 PAGE, HPLC &#160; Q4.引物的质量是不是跟序列有关？ 四种碱基的性质和各自保护基的性质都有差别。所以合成难度是不一样的。难度最大的当属GC重复多的和序列中还有多个连续的G的引物。尤其对于后者，国内公 [...]]]></description>
			<content:encoded><![CDATA[<p><strong>Q1.引物是如何合成的？</strong></p>
<p>目前引物合成基本采用固相亚磷酰胺三酯法。DNA合成仪有很多种,无论采用什么机器合成，合成的原理都相同，主要差别在于合成产率的高低，试剂消耗量的不同和单个循环用时的多少。</p>
<p>(1)    去保护：加入Deblocking脱去碱基上5&#8242;- OH的保护基团DMT，获得游离的5&#8242;- OH；</p>
<p>(2)    耦合：同时加入活化剂和新的碱基，新的碱基5&#8242;-OH仍然被DMT保护，3&#8242;端被活化与溶液中游离的5&#8242;-OH发生耦合反应；</p>
<p>(3)    封闭：耦合反应中极少数5&#8242;- OH没有参加反应，用封闭试剂终止其后继续发生反应；</p>
<p>(4)    氧化：加入氧化剂使其由核苷亚磷酸酯形成更稳定的核苷磷酸酯。</p>
<p><strong>Q2.引物合成后如何处理？</strong></p>
<p>切割与脱保护基：将合成好的寡核苷酸链从支持物上化学切割下来。常用新鲜的浓氨水来裂解CPG与初始核苷之间的酯键。断裂下来的寡核苷酸带有自由的3&#8242;羟基。</p>
<p>纯化：根据所合成寡核苷酸的组成和应用来选定纯化的方法。常用的纯化方法有：C18、OPC、PAGE和HPLC。</p>
<p>定量：根据寡核苷酸在260nm处的紫外吸收来定量。</p>
<p>储存：分装抽干。</p>
<p><strong>Q3.需要什么级别的引物？</strong></p>
<p>根据实验需要，确定订购引物的纯度级别。</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td><strong>应用</strong></td>
<td><strong>引物长度要求</strong></td>
<td><strong>纯度级别要求</strong></td>
</tr>
<tr>
<td rowspan="2">一般PCR扩增</td>
<td>&lt; 60base</td>
<td>HEPD</td>
</tr>
<tr>
<td>&gt;60 base</td>
<td>PAGE</td>
</tr>
<tr>
<td>诊断PCR扩增</td>
<td>&lt; 40base</td>
<td>HEPD, PAGE</td>
</tr>
<tr>
<td>DNA测序</td>
<td>20base左右</td>
<td>HEPD</td>
</tr>
<tr>
<td>亚克隆，点突变等</td>
<td>根据实验要求定</td>
<td>HEPD, PAGE，HPLC</td>
</tr>
<tr>
<td>基因构建（全基因合成）</td>
<td>根据实验要求定</td>
<td>HEPDPAGE</td>
</tr>
<tr>
<td>反义核酸</td>
<td>根据实验要求定</td>
<td>HEPDPAGE</td>
</tr>
<tr>
<td>修饰引物</td>
<td>根据实验要求定</td>
<td>PAGE, HPLC</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Q4.引物的质量是不是跟序列有关？</strong></p>
<p>四种碱基的性质和各自保护基的性质都有差别。所以合成难度是不一样的。难度最大的当属GC重复多的和序列中还有多个连续的G的引物。尤其对于后者，国内公 司一般都做不了20个G以上的引物。实验证明，如果引物中有超过三个连续G的结构，传统方法得到的产物质量就会开始下降。而且目前通用的脱盐、OPC和 PAGE方法都无效。</p>
<p>鼎国昌盛生物公司拥有的HEPD专利技术能够克服高GC或者高G含量引物的合成和纯化障碍，对普通引物、高GC引物和无论长短的oligo d（G）都能得到同样的非常好的结果。</p>
<p><strong>Q5.需要合成多少OD数？</strong></p>
<p>根据实验目的确定。一般PCR扩增，2 OD引物，可以做500-1000次50ul标准PCR反应。如果是做基因拼接或退火后做连接，1 OD就足够了。</p>
<p><strong>Q6.如何计算引物的浓度？</strong></p>
<p>引物保存在高浓度的状况下比较稳定。一般情况下，我们建议将引物的浓度配制成100pmol/ul，称为保存浓度，而引物的工作浓度一般配制成10-50pmol/ul。加水的体积（微升）可直接参照合成报告单上推荐的体积，也可按下列方式计算：</p>
<p>V (微升)= OD数x 33 x 10000 /引物的分子量</p>
<p>引物的分子量可以从合成报告单上获得。注意：1 OD260= 33 ug/ml。</p>
<p><strong>Q7.如何计算引物的Tm值？</strong></p>
<p>引物设计软件都可以给出Tm，与引物长度、碱基组成及所使用缓冲夜的离子强度有关。</p>
<p>长度为25base以下的引物，Tm计算公式为：Tm = 4℃(G + C)+ 2℃(A + T)</p>
<p>对于更长的寡聚核苷酸，Tm计算公式为：</p>
<p>Tm = 81.5 + 16.6 x Log10[Na+] + 0.41 (GC%) &#8211; 600/size＊</p>
<p>＊公式中，Size =引物长度。</p>
<p><strong>Q8.引物（含修饰）的分子量是如何确定的？</strong></p>
<p>非修饰的引物的分子量（MW）在随引物提供的报告单上可以找到。如果需要估计一个引物的分子量按每个碱基的平均分子量为324.5，引物的分子量=碱基数 x碱基的平均分子量，或按下列公式计算MW= (NA * WA) + (NC * WC) + (NG * WG) + (NT * WT) +(Nmod * Wmod)＋(Nx * Wx)+( NI* WI) +16* Ns-62.</p>
<p>NA, NG, NC, NT, NI分别为引物中碱基A或G或C或T或I的数量，WA, WG ,WC, WT, WI分别为引物中碱基A或G或C或T或I的分子量，Nmod，Wmod分别为修饰基团的数目和分子量。对于混合碱基的分子量为混合碱基的分子量总合除以混 合数，例如G+A混合的分子量为（313.21+329.21）/2 = 321.21。Ns为硫代数目，硫代每个位置增加分子量16。</p>
<p>常规碱基分子量</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td>Base</td>
<td>Molecular Weight</td>
</tr>
<tr>
<td>A</td>
<td>313.21</td>
</tr>
<tr>
<td>C</td>
<td>289.18</td>
</tr>
<tr>
<td>G</td>
<td>329.21</td>
</tr>
<tr>
<td>T</td>
<td>304.19</td>
</tr>
<tr>
<td>I</td>
<td>314.2</td>
</tr>
<tr>
<td>U</td>
<td>290.17</td>
</tr>
</tbody>
</table>
<p>常规修饰基团分子量</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td>5’-Biotin</td>
<td>405.45</td>
<td>3’-TAMARA</td>
<td>623.60</td>
</tr>
<tr>
<td>5’-(6 FAM)</td>
<td>537.46</td>
<td>3’-Dabsyl</td>
<td>498.49</td>
</tr>
<tr>
<td>5’-HEX</td>
<td>744.13</td>
<td>3’-(6 FAM)</td>
<td>569.46</td>
</tr>
<tr>
<td>5’-TET</td>
<td>675.24</td>
<td>3’-Amino Modifier C3</td>
<td>153.07</td>
</tr>
<tr>
<td>5’-Cy5</td>
<td>533.63</td>
<td>3’-Amino Modifier C7</td>
<td>209.18</td>
</tr>
<tr>
<td>5’-Cy3</td>
<td>507.59</td>
<td>3’-Thiol Modifier C3</td>
<td>154.12</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Q9.如何溶解引物？</strong></p>
<p>干燥后的引物质地非常疏松，开盖前最好瞬时离心一下，或管垂直向上在桌面上敲敲，将引物粉末收集到管底。根据计算出的体积加入去离子无菌水或 TE(pH8.0)缓冲液，室温放置几分钟，振荡助溶，离心将溶液收集到管底。溶解引物用的水一般不要用蒸馏水，因为有些蒸馏水的pH值比较低 （pH4-5）,引物在这种条件下不稳定。</p>
<p><strong>Q10.如何保存引物？</strong></p>
<p>引物合成后，经过一系列处理和纯化步骤，旋转干燥而成无色或白色絮状干粉。</p>
<p>干  粉：运输时常温运输，-20℃可以保存一年。</p>
<p>储存液：配好后分装成几管，避免反复冻融，-20℃可以保存半年。</p>
<p>工作液：常规使用，4℃保存，也可-20℃保存，但应避免反复冻融。</p>
<p>修饰荧光引物：需要避光保存，尽快使用为宜。</p>
<p><strong>Q11.最长可以合成多长的引物？</strong></p>
<p>我们合成过100base的引物，但是产率很低。除非需要，建议合成片段长度不要超过80base。引物越长，出现问题的概率就越大，按照目前的引物合成效率，大于80base的粗产品，全长引物的百分比不高，后续处理还有丢失很多，最后的产量很低。</p>
<p><strong>Q12.为什么修饰引物的产量要比一般引物低，价格要高?</strong></p>
<p>主要因为是修饰单体稳定性较差，偶连时间长，效率低，最后得到的产量自然低于一般的引物。修饰引物通常需要PAGE或HPLC纯化，纯化过程损失大。修饰引物使用的原料是一般引物原料的几百倍，所以产品的价格也高。</p>
<p><strong>Q13.引物片段退火后不能连接到载体上是什么问题？</strong></p>
<p>连接反应需要引物的5&#8242;磷酸基团。如果需要将合成的引物退火直接连接相应的载体上，引物需要磷酸化。磷酸化的产物如果还不能连接载体上，需要检查载体的酶切效果，需要改善引物退火的条件。SiRNA分子具有特殊的对称结构，退火的难度较大，退火时需要提高退火温度。</p>
<p><strong>Q14.为什么引物的OD260/OD280小于1.5？</strong></p>
<p>需要指出的是OD260/OD280的比值不能用来衡量引物的纯度。OD260/OD280的比值过低一般是由于引物中C/T的含量比较高所致。下表是一 个20base同聚体引物的OD260/OD280的比值，清楚表明OD260/OD280的比值与引物的碱基组成密切相关。</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td colspan="2">A<sub>260/280</sub> ratios of Crude 20-mer Oligos of Differing Base Compositions</td>
</tr>
<tr>
<td>Base Composition</td>
<td>A<sub>260/280</sub></td>
</tr>
<tr>
<td>5-AAAAAAAAAAAAAAAAAAAA-3</td>
<td>2.50</td>
</tr>
<tr>
<td>5-GGGGGGGGGGGGGGGGGGGG-3</td>
<td>1.85</td>
</tr>
<tr>
<td>5-CCCCCCCCCCCCCCCCCCCC-3</td>
<td>1.15</td>
</tr>
<tr>
<td>5-TTTTTTTTTTTTTTTTTTTT-3</td>
<td>1.14</td>
</tr>
<tr>
<td>5-AAAAAGGGGGTTTTTCCCCC-3</td>
<td>1.66</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Q15.同样的OD用PAGE检测，EB染色为什么深浅不一？</strong></p>
<p>通常可以用EB染色的方法来判断双链DNA的量(如质粒DNA)，因为EB可以嵌合到双链DNA中。而合成的单链DNA，由于碱基组成不同，形成二级结构 的可能性不同，EB的染色程度也会有差异，比如Oligo(dT)等不形成二级结构，EB染色效果就非常差。所以不要用EB染色的方法来定量，而用紫外分 光光度计检测。</p>
<p><strong>Q16.如何检测引物的纯度？</strong></p>
<p>实验室方便的做法是用PAGE方法。使用加有7M尿素的16%的聚丙烯酰胺凝胶进行电泳。取0.2-0.5OD的引物，用尿素饱和液溶解或引物溶液中加入 尿素干粉直到饱和，上样前加热变性(95℃,2mins)。加入尿素的目的一是变性，二是增加样品比重，容易加样。600V电压进行电泳，一定时间后(约 2-3小时)，剥胶，用荧光TLC板在紫外灯下检测带型，在主带之下没有杂带，说明纯度是好的。如果条件许可，也可以用银染方式染色。</p>
<p><strong>Q17.已经溶解的引物，为什么原先使用正常，而过一段时间再使用就不好了？</strong></p>
<p>如果您溶解引物的水pH过低或污染了菌或核酸酶，会使引物降解。使用时没有充分解冻混合，液体不均匀也可能会造成引物加入量不准确。建议分装引物，避免反 复冻溶。建议使用10mM Tris pH7.5缓冲液溶解引物，因为有些蒸馏水的pH值比较低（pH4-5）,引物在这种条件下不稳定。还有一种可能性是引物没有问题，而是PCR使用材料特 别是模板的质量与先前使用的不完全一致。</p>
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		<title>验证/分布试验的8个步骤</title>
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		<pubDate>Thu, 01 Sep 2011 11:52:21 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
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		<category><![CDATA[验证]]></category>

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		<description><![CDATA[定期对环境试验箱内的条件进行分布试验，如对温度和湿度等进行验证是必须的，这对于符合FDA（美国食品药品监督管理局）的监管要求非常关键[1~5]。本应用指南提供了一些方法，有助于验证项目符合《现行药品生产质量管理规范》（cGMP）的要求，本应用指南中所说的探头、传感器、数据记录仪是可互换的，大多数建议的基础是使用数据记录仪作为传感设备。 第1步——编写验证计划 首先，书面定义验证目标，创建一个所用方法的概要，并列出任何预计的障碍。在大多数情况下，这3项构成了验证方案的主要内容，下面几个注意点最好以书面形式编入验证计划。 必须符合的法规与要求 首先审核设施质量指南中所列内容（如：CFR 210、211等），并查找最近的修改或更新。尽管许多监管机构要求提供受控空间的温度分布试验结果，但并没有规定任何具体方法，因此需要我们编制文件以说明合理的分布试验流程。 要求监测的数据点 数据点的数量受多种因素影响而不同，这些因素包括环境、温度/相对湿度范围和具体应用。小型试验箱的分布试验所需的典型数量包括： 九（9）：在大多数情况下，这是试验箱内采样点数量的最低限度（除了非常小的试验台应用）。具体包括两层，每层4台记录仪放置于每个角，中央1台。 或者，十五（15）：三层，4台记录仪放置于每个角，三层中央各1台。 或者，每层搁板上4台或5台记录仪。 每台数据记录仪摆放的位置 建议放置记录仪时以网格状均匀分布，同时监测试验箱内因热损耗和/或空气流动而导致的最差位置也是很重要的。监测试验箱各个角落和任何开口/通道附近将覆盖大部分的最差位置，但是，在试验箱内架设搁板可能要求确认额外的最差位置。将传感器放置在温控装置的控制传感器，或试验箱内任何报警传感器的位置或附近。 试验箱负荷 分布试验是在空箱时进行（为了运行确认-OQ），还是在试验箱装满产品时进行（为了性能确认- PQ）？对于大多数制药或生物技术应用来讲，两项测试都很重要。 要考虑到运行确认和性能确认对过程的影响。并且，有些监管机构[2] 要求在验证过程中使用最大和最小负荷。空箱可以被认为是最小负荷，也通常是箱内温度波动最坏的情况。 跟踪试验箱内空气温度 跟踪试验箱内产品的温度，如溶液瓶中的温度，有时被认为更重要，原因是它使数据不容易受到门定期打开和关闭等轻微干扰的影响。 测量的参数 如果计划存储对湿度敏感的产品，那么试验箱除了温度还要做相对湿度的分布试验。 提取读数的频率 典型的采样频率是每分钟1次，或者5分钟1次。但是，如同验证的大多数其他方面，要准备论证采样频率，并把合理说明包括在计划和/或方案中。 分布试验的时间 试验时间各不相同，可能须提供理由。典型的试验时间长度为24、48或72h，也偶尔有设施的分布试验时间需要1周、1个月甚至更长。对于实验室规模的试验箱和步入式试验箱，24~72h就足够了。但是，对于内部温度受外部温度影响的较大规模项目（如温控仓库），可能需要较长的试验时间。较大型的试验箱可能还需要在夏季和冬季进行试验，根据设施所在地的季节温度变化情况而定。 持续时间 提前制定测试时间表可使验证技术人员放置好所有数据记录仪，从而能够同时开始和停止数据采集。 重复测试的时间 尽管有些行业只需要进行初步确认，但有些就要求定期重复进行温度分布试验。再一次对任何适用的规范进行审核，并确保在验证计划/方案中记录下预定的测试频率。一般来讲，尽管初步确认包括空载试验箱和满负荷试验箱的分布试验，但随后的重复确认仅要求满负荷试验箱的分布试验。 其他类型的测试 大多数情况下，监管机构只需要验证空载试验箱和满负荷试验箱。但是，其它类型的测试可能会提供有价值的信息。可能对企业有用的两种常见测试为： 温度恢复试验：此项试验使用与分布试验时同样位置的相同探头数量，测量时间间隔为15~30s。在试验箱温度保持稳定和数据记录仪记录数据时，试验箱门打开，打开时间通常是试验箱的正常运行时间（可从实验室规模试验箱的1min，到集货区/收货区使用的大型步入式试验箱的5min），然后关闭。数据采集持续到试验箱恢复到指定的工作范围时为止。这一测试表明，在试验箱正常运行期间，产品温度没有受到不良影响。 绝缘导热系数/温度变化试验：此项试验也采用与分布试验相同的设置和测量时间间隔。在试验箱温度保持稳定和数据记录仪记录数据时，切断试验箱温控装置的电源。数据采集时间通常持续12h。此项试验提供在停电情况下试验箱保持在指定工作范围内时间长短的信息。此项试验获得的数据可有助于确定停电后产品是否受到不利影响，以及制定停电情况下将产品转移到其他试验箱/设施的作业流程。 以上问题许多都可以在过去的作业实践、方案或标准作业程序（SOP）中找到答案。 第2步——检查设备与文档 在实施《药品生产质量管理规范》（GMP）的情况下，必须确保被用于执行试验箱确认的设备不仅适合作业，还必须处于良好工作状态。这里涉及到两个因素： 用于这一应用的记录仪是否已被验证？最好是设备制造商提供专门用途的IQ/OQ验证协议。 传感器目前是否在校准期内？检查校准证书（也是由制造商提供）。验证软件还应显示校准日期信息，这些信息通常存储在每台设备的内存中。如果使用热电偶，前校准和后校准都必须进行。对于校准是溯源至NIST(美国国家标准技术研究院)的数据记录仪，无需进行前后校准。 第3步——确认设备运行状态 使用设备前检查有无损坏。设施的标准操作程序应含有这一检查。如果没有，有几种方式可确保正常操作。例如，如果数据记录仪存放在一起并准备“打包”（连续“滑动窗”方式读取读数），只需将数据记录仪收集的信息转移到PC机上，然后与不同数据记录器的读数比较。如果记录器没有存放在一起，还有一种方法可以确认它们的功能，即将记录仪并排短时间放在一起来比较读数。为了降低使用任何未经校准的设备的风险，可采用几种方式来检查校准情况。 测量读数与正常值相差很大是出现问题的明显迹象。如果环境保持稳定，查看是否有化学污染影响了传感器的测量结果。或者，如果记录仪中断，断路等物理损坏可能就是原因。对于读数偏离原因不太明显的情况，无需将记录仪送到校准实验室就可以进行快速的精确性检查，即只需将记录仪与其他经过校准的（可溯源至NIST）数据记录仪，或者溯源至NIST的仪器进行比对。最后，将任何可疑的记录仪与认可的参考标准（如冰浴或饱和盐溶液环境）进行比较，这是另外一种“健全检查”。 第4步——设置数据记录仪 在验证软件中设置测试开始和停止时间、采样时间间隔和记录仪描述。 延迟开始时间，确保有充分的时间进行设置和放置所有的数据记录仪，并且在数据采集开始前使试验箱保持稳定。 为所有数据记录仪配置相同的开始和停止时间。开始/停止时间同步化将可以避免采集到无关数据。 设定一个适合应用的采样时间间隔，一个典型的“安全”采样时间间隔可能是每分钟1次。 为每台数据记录仪设置有一定含义的描述。例如，每台数据记录仪可以有一个ID编号，来描述其在试验箱中的位置。 第5步——放置数据记录仪 按照验证方案、图表或网格状将传感器放置在试验箱中。可以对试验箱内部进行拍照，显示出记录仪和产品的位置。如果使用的是探头式传感器（而不是内置传感器的记录仪），一定要确保它们在试验箱内与任何表面没有接触。此外，还要在试验箱之外放置一台数据记录仪，以监测室外温度，或是室外温度和相对湿度同时监测，否则可能会造成结果无效，因为外部温度有时会显著影响内部性能。外面的数据记录仪需要远离容易受温度影响的区域，如外墙、发热设备、靠近窗户或高流量的区域。 第6步——定期检查进度 最好定期检查试验结果，确保分布试验按预定计划进行。例如，典型的验证方案可能需要验证技术人员，确定试验箱内温度何时稳定，或是在试验过程中检验运行情况。使用“扁平电缆（flat cable）”可在不影响试验箱的情况下定期检查一台记录仪的数据。 第7步——检索和存储数据 完成试验后，将数据从每台数据记录仪上传输到PC机上。定制文件名格式，方便查找文件，并与部署关联起来。建议将软件设置成自动在文件名中包括以下信息：数据记录仪的序列号、数据下载的时间和日期、数据记录仪的用户描述。大多数验证软件都能提供防篡改的安全文件，以符合21 [...]]]></description>
			<content:encoded><![CDATA[<p><em><img class="aligncenter" src="http://img.vogel.com.cn/user/77/20110719/1350194330.jpg" alt="" width="400" height="268" /></em></p>
<p><em>定期对环境试验箱内的条件进行分布试验，如对温度和湿度等进行验证是必须的，这对于符合FDA（美国食品药品监督管理局）的监管要求非常关键[1~5]。本应用指南提供了一些方法，有助于验证项目符合《现行药品生产质量管理规范》（cGMP）的要求，本应用指南中所说的探头、传感器、数据记录仪是可互换的，大多数建议的基础是使用数据记录仪作为传感设备。</em></p>
<p><strong>第1步——编写验证计划</strong></p>
<p>首先，书面定义验证目标，创建一个所用方法的概要，并列出任何预计的障碍。在大多数情况下，这3项构成了验证方案的主要内容，下面几个注意点最好以书面形式编入验证计划。</p>
<p><strong>必须符合的法规与要求</strong></p>
<p>首先审核设施质量指南中所列内容（如：CFR 210、211等），并查找最近的修改或更新。尽管许多监管机构要求提供受控空间的温度分布试验结果，但并没有规定任何具体方法，因此需要我们编制文件以说明合理的分布试验流程。</p>
<p><strong>要求监测的数据点</strong></p>
<p>数据点的数量受多种因素影响而不同，这些因素包括环境、温度/相对湿度范围和具体应用。小型试验箱的分布试验所需的典型数量包括：</p>
<p>九（9）：在大多数情况下，这是试验箱内采样点数量的最低限度（除了非常小的试验台应用）。具体包括两层，每层4台记录仪放置于每个角，中央1台。</p>
<p>或者，十五（15）：三层，4台记录仪放置于每个角，三层中央各1台。</p>
<p>或者，每层搁板上4台或5台记录仪。</p>
<p><strong>每台数据记录仪摆放的位置</strong></p>
<p>建议放置记录仪时以网格状均匀分布，同时监测试验箱内因热损耗和/或空气流动而导致的最差位置也是很重要的。监测试验箱各个角落和任何开口/通道附近将覆盖大部分的最差位置，但是，在试验箱内架设搁板可能要求确认额外的最差位置。将传感器放置在温控装置的控制传感器，或试验箱内任何报警传感器的位置或附近。</p>
<p><strong>试验箱负荷</strong></p>
<p>分布试验是在空箱时进行（为了运行确认-OQ），还是在试验箱装满产品时进行（为了性能确认- PQ）？对于大多数制药或生物技术应用来讲，两项测试都很重要。 要考虑到运行确认和性能确认对过程的影响。并且，有些监管机构[2] 要求在验证过程中使用最大和最小负荷。空箱可以被认为是最小负荷，也通常是箱内温度波动最坏的情况。</p>
<p><strong>跟踪试验箱内空气温度</strong></p>
<p>跟踪试验箱内产品的温度，如溶液瓶中的温度，有时被认为更重要，原因是它使数据不容易受到门定期打开和关闭等轻微干扰的影响。</p>
<p><strong>测量的参数</strong></p>
<p>如果计划存储对湿度敏感的产品，那么试验箱除了温度还要做相对湿度的分布试验。</p>
<p><strong>提取读数的频率</strong></p>
<p>典型的采样频率是每分钟1次，或者5分钟1次。但是，如同验证的大多数其他方面，要准备论证采样频率，并把合理说明包括在计划和/或方案中。</p>
<p><strong>分布试验的时间</strong></p>
<p>试验时间各不相同，可能须提供理由。典型的试验时间长度为24、48或72h，也偶尔有设施的分布试验时间需要1周、1个月甚至更长。对于实验室规模的试验箱和步入式试验箱，24~72h就足够了。但是，对于内部温度受外部温度影响的较大规模项目（如温控仓库），可能需要较长的试验时间。较大型的试验箱可能还需要在夏季和冬季进行试验，根据设施所在地的季节温度变化情况而定。</p>
<p><strong>持续时间</strong></p>
<p>提前制定测试时间表可使验证技术人员放置好所有数据记录仪，从而能够同时开始和停止数据采集。</p>
<p><strong>重复测试的时间</strong></p>
<p>尽管有些行业只需要进行初步确认，但有些就要求定期重复进行温度分布试验。再一次对任何适用的规范进行审核，并确保在验证计划/方案中记录下预定的测试频率。一般来讲，尽管初步确认包括空载试验箱和满负荷试验箱的分布试验，但随后的重复确认仅要求满负荷试验箱的分布试验。</p>
<p><img class="aligncenter" src="http://img.vogel.com.cn/user/77/20110719/1350308268.jpg" alt="" width="200" height="352" /></p>
<p><strong>其他类型的测试</strong></p>
<p>大多数情况下，监管机构只需要验证空载试验箱和满负荷试验箱。但是，其它类型的测试可能会提供有价值的信息。可能对企业有用的两种常见测试为：</p>
<p>温度恢复试验：此项试验使用与分布试验时同样位置的相同探头数量，测量时间间隔为15~30s。在试验箱温度保持稳定和数据记录仪记录数据时，试验箱门打开，打开时间通常是试验箱的正常运行时间（可从实验室规模试验箱的1min，到集货区/收货区使用的大型步入式试验箱的5min），然后关闭。数据采集持续到试验箱恢复到指定的工作范围时为止。这一测试表明，在试验箱正常运行期间，产品温度没有受到不良影响。</p>
<p>绝缘导热系数/温度变化试验：此项试验也采用与分布试验相同的设置和测量时间间隔。在试验箱温度保持稳定和数据记录仪记录数据时，切断试验箱温控装置的电源。数据采集时间通常持续12h。此项试验提供在停电情况下试验箱保持在指定工作范围内时间长短的信息。此项试验获得的数据可有助于确定停电后产品是否受到不利影响，以及制定停电情况下将产品转移到其他试验箱/设施的作业流程。</p>
<p>以上问题许多都可以在过去的作业实践、方案或标准作业程序（SOP）中找到答案。</p>
<p><strong>第2步——检查设备与文档</strong></p>
<p>在实施《药品生产质量管理规范》（GMP）的情况下，必须确保被用于执行试验箱确认的设备不仅适合作业，还必须处于良好工作状态。这里涉及到两个因素：</p>
<p>用于这一应用的记录仪是否已被验证？最好是设备制造商提供专门用途的IQ/OQ验证协议。</p>
<p>传感器目前是否在校准期内？检查校准证书（也是由制造商提供）。验证软件还应显示校准日期信息，这些信息通常存储在每台设备的内存中。如果使用热电偶，前校准和后校准都必须进行。对于校准是溯源至NIST(美国国家标准技术研究院)的数据记录仪，无需进行前后校准。</p>
<p><strong>第3步——确认设备运行状态</strong></p>
<p>使用设备前检查有无损坏。设施的标准操作程序应含有这一检查。如果没有，有几种方式可确保正常操作。例如，如果数据记录仪存放在一起并准备“打包”（连续“滑动窗”方式读取读数），只需将数据记录仪收集的信息转移到PC机上，然后与不同数据记录器的读数比较。如果记录器没有存放在一起，还有一种方法可以确认它们的功能，即将记录仪并排短时间放在一起来比较读数。为了降低使用任何未经校准的设备的风险，可采用几种方式来检查校准情况。</p>
<p>测量读数与正常值相差很大是出现问题的明显迹象。如果环境保持稳定，查看是否有化学污染影响了传感器的测量结果。或者，如果记录仪中断，断路等物理损坏可能就是原因。对于读数偏离原因不太明显的情况，无需将记录仪送到校准实验室就可以进行快速的精确性检查，即只需将记录仪与其他经过校准的（可溯源至NIST）数据记录仪，或者溯源至NIST的仪器进行比对。最后，将任何可疑的记录仪与认可的参考标准（如冰浴或饱和盐溶液环境）进行比较，这是另外一种“健全检查”。</p>
<p><strong>第4步——设置数据记录仪</strong></p>
<p>在验证软件中设置测试开始和停止时间、采样时间间隔和记录仪描述。</p>
<p>延迟开始时间，确保有充分的时间进行设置和放置所有的数据记录仪，并且在数据采集开始前使试验箱保持稳定。</p>
<p>为所有数据记录仪配置相同的开始和停止时间。开始/停止时间同步化将可以避免采集到无关数据。</p>
<p>设定一个适合应用的采样时间间隔，一个典型的“安全”采样时间间隔可能是每分钟1次。</p>
<p>为每台数据记录仪设置有一定含义的描述。例如，每台数据记录仪可以有一个ID编号，来描述其在试验箱中的位置。</p>
<p><strong>第5步——放置数据记录仪</strong></p>
<p>按照验证方案、图表或网格状将传感器放置在试验箱中。可以对试验箱内部进行拍照，显示出记录仪和产品的位置。如果使用的是探头式传感器（而不是内置传感器的记录仪），一定要确保它们在试验箱内与任何表面没有接触。此外，还要在试验箱之外放置一台数据记录仪，以监测室外温度，或是室外温度和相对湿度同时监测，否则可能会造成结果无效，因为外部温度有时会显著影响内部性能。外面的数据记录仪需要远离容易受温度影响的区域，如外墙、发热设备、靠近窗户或高流量的区域。</p>
<p><strong>第6步——定期检查进度</strong></p>
<p>最好定期检查试验结果，确保分布试验按预定计划进行。例如，典型的验证方案可能需要验证技术人员，确定试验箱内温度何时稳定，或是在试验过程中检验运行情况。使用“扁平电缆（flat cable）”可在不影响试验箱的情况下定期检查一台记录仪的数据。</p>
<p><strong>第7步——检索和存储数据</strong></p>
<p>完成试验后，将数据从每台数据记录仪上传输到PC机上。定制文件名格式，方便查找文件，并与部署关联起来。建议将软件设置成自动在文件名中包括以下信息：数据记录仪的序列号、数据下载的时间和日期、数据记录仪的用户描述。大多数验证软件都能提供防篡改的安全文件，以符合21 CFR（美国联邦法规）第11部分中 FDA对电子记录的要求。每个文件必须是唯一标识，使用户能够将每份打印输出的文件与数据记录仪中的原始文件对应。</p>
<p><strong>第8步——报告结果</strong></p>
<p>可以采用几种不同方式报告分布试验的结果：将所有数据记录仪的文件可以绘制在一张图表上，以显示出试验箱不同部位的差别；或将所有读数和相关时间及日期的“原始数据”打印出来，以支持以上图表；还可将数据导入Excel，便于以后的报告。</p>
<p>在报告中一定要明确数据记录仪在每个位置记录下的最高、最低和平均温度。在某些情况下，将每个位置的平均动态温度包括进来也很有价值，这个信息在确定试验箱中任何热点或冷点时很有帮助，因为这些地方应该放置连续监测和报警传感器[3]。</p>
<p>原文链接：<a href="http://pharm.vogel.com.cn/paper_view.html?id=31479">http://pharm.vogel.com.cn/paper_view.html?id=31479</a></p>
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		<title>生物反应器的温度监控</title>
		<link>http://www.91bio.com/bioreactor-temperature-monitoring/</link>
		<comments>http://www.91bio.com/bioreactor-temperature-monitoring/#comments</comments>
		<pubDate>Thu, 01 Sep 2011 11:40:25 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[生物反应器]]></category>

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		<description><![CDATA[//找生物-分享有趣、实用的生物资源！今天转载一学习贴，关于生物反应器的温度控制。 原文地址：http://pharm.vogel.com.cn/paper_view.html?id=31474 生物反应器的温度控制必须考虑到相应的应用条件和生物反应器中的物质情况 在生物产品研发过程中，生物反应器有着非常重要的作用。由于生物反应过程与温度有着密切的联系，因此温度的准确控制就具有最基础性的重要意义。 在生物反应器控制的过程中，精确的温度控制和调节是保障生物产品生产可靠性和稳定性的关键。在单独的生产批次里，由于温度保护的范围很小，保证反应器温度快速上升到规定温度并保持在规定范围内需要付出很大的努力。 批次生产方式中常用的生物反应器类型在向营养液中接种菌苗之前必须保持温度的稳定。因为生物培育为一个高级的放热反应过程，因此所需的大多数生物反应器都要有冷却源；也就是说：需要精确的保持温度稳定不变。 培养过程的要求能够通过搅拌或者加入气体（如氧气、氮气）加速营养液的运动，同时排除生物培养过程中出现的副产品，例如二氧化碳。搅拌也促进了液体的混合，实现了温度的均匀分布，提高均质性。 为了能够利用合适的仪器设备对放热和吸热反应温度进行控制，有许多评判标准需要考虑，首先是确定可靠反应的温度范围： 小型容器（10L或者更小）的温度范围从13℃上升到环境温度（室温为20℃时的理论值为33℃）时，则所使用的循环恒温器应保障在吸热反应、放热反应和静态反应时有足够的承载范围。 当使用的容器较大、需要加热设备时，可以分步进行温度控制。它除了能够按照规定的温度进行加热升温之外，还应考虑它的冷却能力。 当温度下限接近或者低于环境温度、且有着放热反应或者控制冷却的要求时，则循环恒温器应带有冷却器（容器较小时）或较大的循环冷却器。 热容量计算 为了准确地计算所需的热量和制冷数据，必须对热容量（包括比内能）进行确定。比内能计算时应考虑制冷和加热等影响因素，例如营养液、生物反应器、热交换器及其交换介质、软管等。只有在确定了希望的温度范围之后，才能计算出加热和冷却所需的附加时间，以便补偿热传导或者吸热、放热的不足。 安装在营养液中的外部温度传感器也能使温度控制得以简化。利用这一温度传感器，可以采集和控制循环冷却器内部的环境，使最佳条件保持不变，并实现较低的反应设备外部温度。 若循环冷却器没有配备外部温度检测用的传感器且其起始工作温度为20℃时，则它应达到的理论值为10℃。此时，外壳的温度与内部的温度非常接近，两者按一定的比率冷却。而没有外部温度传感器时，一个生产批次的理论温度很难长时间保持在10℃以内。虽然外壳中的流速不是一个重要的评判标准，但出于提高效率的需要优选较高的流速。 有说服力的数据 下面的比内能计算适合于容积为50L的不锈钢反应器，重量100kg，其中壳体中的容量为5L、循环冷却器的容量为7L、软管容量为3L，温度差ΔT为10℃（相当于10K）。 营养液（为了使用和水相同的数据，使用的营养液为水基营养液）： 50L＝50kg， 50kg×4.187KL(kg·K)×10K=2093.50KJ； 外壳、软管、循环冷却器中的水： 15L＝15kg， 15kg×4.187KL/(kg·K)×10K=628.05KJ； 生物反应器： 100kg×0.461KL/(kg·K)×10K=46.00KJ； 需要输入的内能共计：3182.55KJ。 由于循环冷却器的功率一般按瓦小时为单位计算，因此： 3182.55KJ×0.277Wh/KJ＝881.57Wh。 为了能够在1h内实现升温10℃，所需的循环冷却器的冷却容量大约为882Wh。为了把比内能换算成不同时间段内的数据，可简单地用时间间隔乘以882Wh。 在上述计算实例中，不仅考虑了热传导的问题，而且也考虑了环境引起的吸热/热损失问题。这些问题都是由于溶液流速缓慢或缺少搅拌、材料导热不良（例如玻璃）以及隔热不足等因素导致的。 传热不良生物反应器的性能优化可利用温度差的方法来计算；也就是说可以利用ΔT来计算外壳中介质与营养液之间高浓度向低浓度所需的能源传递。 为此，就要对外壳中介质的温度进行监控，避免生物菌种培养时的冷冻现象和过热现象。在进行这种温度范围的限制时，要求在规定的时间段内使用最佳的加热或者冷却设备，例如赛默飞世尔科技公司研发生产的ThermoFlex循环冷却器可以连接外部的温度传感器，以避免突发性温度波动对生物菌株培育的影响。 最佳的隔热保温 同样的，向外部环境散发热量或者从外部环境吸收热量的热平衡计算是比较困难的。因为热平衡计算所需考虑的变量很多，其中包括表面积、表面斜度以及实验室的空气温度和气流数据等，因此建议采取有效的隔热保温措施。若没有可能采用隔热保温措施时，应向生产厂家索取辅助加热/冷却能力的数据和注意事项。但无论如何，只要容器的冲压能力允许，泵有着足够流量时，流量数据都应是允许的最高数值。]]></description>
			<content:encoded><![CDATA[<p>//找生物-分享有趣、实用的生物资源！今天转载一学习贴，关于生物反应器的温度控制。</p>
<p>原文地址：<a href="http://pharm.vogel.com.cn/paper_view.html?id=31474">http://pharm.vogel.com.cn/paper_view.html?id=31474</a></p>
<p><em><img class="aligncenter" src="http://img.vogel.com.cn/user/77/20110719/1324529532.jpg" alt="" width="300" height="348" /></em><br />
生物反应器的温度控制必须考虑到相应的应用条件和生物反应器中的物质情况</p>
<p><em>在生物产品研发过程中，生物反应器有着非常重要的作用。由于生物反应过程与温度有着密切的联系，因此温度的准确控制就具有最基础性的重要意义。</em></p>
<p>在生物反应器控制的过程中，精确的温度控制和调节是保障生物产品生产可靠性和稳定性的关键。在单独的生产批次里，由于温度保护的范围很小，保证反应器温度快速上升到规定温度并保持在规定范围内需要付出很大的努力。</p>
<p>批次生产方式中常用的生物反应器类型在向营养液中接种菌苗之前必须保持温度的稳定。因为生物培育为一个高级的放热反应过程，因此所需的大多数生物反应器都要有冷却源；也就是说：需要精确的保持温度稳定不变。</p>
<p>培养过程的要求能够通过搅拌或者加入气体（如氧气、氮气）加速营养液的运动，同时排除生物培养过程中出现的副产品，例如二氧化碳。搅拌也促进了液体的混合，实现了温度的均匀分布，提高均质性。</p>
<p>为了能够利用合适的仪器设备对放热和吸热反应温度进行控制，有许多评判标准需要考虑，首先是确定可靠反应的温度范围：</p>
<p>小型容器（10L或者更小）的温度范围从13℃上升到环境温度（室温为20℃时的理论值为33℃）时，则所使用的循环恒温器应保障在吸热反应、放热反应和静态反应时有足够的承载范围。</p>
<p>当使用的容器较大、需要加热设备时，可以分步进行温度控制。它除了能够按照规定的温度进行加热升温之外，还应考虑它的冷却能力。</p>
<p>当温度下限接近或者低于环境温度、且有着放热反应或者控制冷却的要求时，则循环恒温器应带有冷却器（容器较小时）或较大的循环冷却器。</p>
<p><strong>热容量计算</strong></p>
<p>为了准确地计算所需的热量和制冷数据，必须对热容量（包括比内能）进行确定。比内能计算时应考虑制冷和加热等影响因素，例如营养液、生物反应器、热交换器及其交换介质、软管等。只有在确定了希望的温度范围之后，才能计算出加热和冷却所需的附加时间，以便补偿热传导或者吸热、放热的不足。</p>
<p>安装在营养液中的外部温度传感器也能使温度控制得以简化。利用这一温度传感器，可以采集和控制循环冷却器内部的环境，使最佳条件保持不变，并实现较低的反应设备外部温度。</p>
<p>若循环冷却器没有配备外部温度检测用的传感器且其起始工作温度为20℃时，则它应达到的理论值为10℃。此时，外壳的温度与内部的温度非常接近，两者按一定的比率冷却。而没有外部温度传感器时，一个生产批次的理论温度很难长时间保持在10℃以内。虽然外壳中的流速不是一个重要的评判标准，但出于提高效率的需要优选较高的流速。</p>
<p><strong>有说服力的数据</strong></p>
<p>下面的比内能计算适合于容积为50L的不锈钢反应器，重量100kg，其中壳体中的容量为5L、循环冷却器的容量为7L、软管容量为3L，温度差ΔT为10℃（相当于10K）。</p>
<p>营养液（为了使用和水相同的数据，使用的营养液为水基营养液）：</p>
<p>50L＝50kg，</p>
<p>50kg×4.187KL(kg·K)×10K=2093.50KJ；</p>
<p>外壳、软管、循环冷却器中的水：</p>
<p>15L＝15kg，</p>
<p>15kg×4.187KL/(kg·K)×10K=628.05KJ；</p>
<p>生物反应器：</p>
<p>100kg×0.461KL/(kg·K)×10K=46.00KJ；</p>
<p>需要输入的内能共计：3182.55KJ。</p>
<p>由于循环冷却器的功率一般按瓦小时为单位计算，因此：</p>
<p>3182.55KJ×0.277Wh/KJ＝881.57Wh。</p>
<p>为了能够在1h内实现升温10℃，所需的循环冷却器的冷却容量大约为882Wh。为了把比内能换算成不同时间段内的数据，可简单地用时间间隔乘以882Wh。</p>
<p>在上述计算实例中，不仅考虑了热传导的问题，而且也考虑了环境引起的吸热/热损失问题。这些问题都是由于溶液流速缓慢或缺少搅拌、材料导热不良（例如玻璃）以及隔热不足等因素导致的。</p>
<p>传热不良生物反应器的性能优化可利用温度差的方法来计算；也就是说可以利用ΔT来计算外壳中介质与营养液之间高浓度向低浓度所需的能源传递。</p>
<p>为此，就要对外壳中介质的温度进行监控，避免生物菌种培养时的冷冻现象和过热现象。在进行这种温度范围的限制时，要求在规定的时间段内使用最佳的加热或者冷却设备，例如赛默飞世尔科技公司研发生产的ThermoFlex循环冷却器可以连接外部的温度传感器，以避免突发性温度波动对生物菌株培育的影响。</p>
<p><strong>最佳的隔热保温</strong></p>
<p>同样的，向外部环境散发热量或者从外部环境吸收热量的热平衡计算是比较困难的。因为热平衡计算所需考虑的变量很多，其中包括表面积、表面斜度以及实验室的空气温度和气流数据等，因此建议采取有效的隔热保温措施。若没有可能采用隔热保温措施时，应向生产厂家索取辅助加热/冷却能力的数据和注意事项。但无论如何，只要容器的冲压能力允许，泵有着足够流量时，流量数据都应是允许的最高数值。</p>
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		<title>NoeClone 3.0 高级版可申请一年免费版</title>
		<link>http://www.91bio.com/noeclone-3-0-premium-edition-free-of-charge-for-one-year-can-apply-for/</link>
		<comments>http://www.91bio.com/noeclone-3-0-premium-edition-free-of-charge-for-one-year-can-apply-for/#comments</comments>
		<pubDate>Tue, 30 Aug 2011 13:03:24 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[手机软件]]></category>
		<category><![CDATA[丁香园]]></category>
		<category><![CDATA[生物软件]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645265</guid>
		<description><![CDATA[介个是丁香通的免费试用活动之一，活动厂家为重庆诺京生物信息技术有限公司。 从现在起到2011年9月30日可以进行申请一年的免费版。申请地址：http://www.biomart.cn/infosupply/5204119.htm?tryId=243 NoeClone高级版是 成熟的电子虚拟克隆系统，允许用户设计克隆工程，模拟克隆流程，生成并保存清晰的克隆流 程图。在综合的虚拟环境下，NoeClone高级版能为您提供所有先进的克隆和序列分析功能，让您能够方便地重新创建实验室克隆步骤。如果您或您的实验室 定期都将进行克隆实验，NoeClone高级版将是您最佳的选择。 试用规格：1copy 软件名称：电子虚拟克隆系统 NoeClone 3.0 高级版 版本号：3.0 数量：大量 软件大小：70MB 语言：中英双语 应用平台：windows7/XP/Vista, Mac OS 9.2/OS x10.4,Linux/Unix 授权方式：独占使用许可 相关网址：www.noegen.com 语种：诺京生物 凝胶模拟展示 克隆流程设计]]></description>
			<content:encoded><![CDATA[<p>介个是丁香通的免费试用活动之一，活动厂家为<a href="http://www.biomart.cn/ff808081277518320127757a3397042b/index.htm">重庆诺京生物信息技术有限公司</a>。</p>
<p>从现在起到2011年9月30日可以进行申请一年的免费版。申请地址：<a href="http://www.biomart.cn/infosupply/5204119.htm?tryId=243" target="_blank">http://www.biomart.cn/infosupply/5204119.htm?tryId=243</a></p>
<div id="_info_desc">
<div>
<p><strong>NoeClone高级版</strong>是 成熟的电子虚拟克隆系统，允许用户设计克隆工程，模拟克隆流程，生成并保存清晰的克隆流 程图。在综合的虚拟环境下，NoeClone高级版能为您提供所有先进的克隆和序列分析功能，让您能够方便地重新创建实验室克隆步骤。如果您或您的实验室 定期都将进行克隆实验，NoeClone高级版将是您最佳的选择。</p>
</div>
</div>
<div>
<dl>
<dd>试用规格：1copy</dd>
<dd>软件名称：电子虚拟克隆系统 NoeClone 3.0 高级版</dd>
<dd>版本号：3.0</dd>
<dd>数量：大量</dd>
<dd>软件大小：70MB</dd>
<dd>语言：中英双语</dd>
<dd>应用平台：windows7/XP/Vista, Mac OS 9.2/OS x10.4,Linux/Unix</dd>
<dd>授权方式：独占使用许可</dd>
<dd>相关网址：www.noegen.com</dd>
<dd>语种：诺京生物</dd>
</dl>
</div>
<div>
<div><a title="凝胶模拟展示" href="http://img1.jiansuo.net/trademd/upload/pic/2010/12/07/1291634693.png" rel="lightbox[plants]"><img id="zoom_img" src="http://img1.jiansuo.net/trademd/upload/pic/2010/12/07/1291634693.png" alt="" name="zoom_img" /></a></div>
<div>凝胶模拟展示</div>
<div><a title="克隆流程设计" href="http://img1.jiansuo.net/trademd/upload/pic/2010/12/07/1291634694.png" rel="lightbox[plants]"><img id="zoom_img" src="http://img1.jiansuo.net/trademd/upload/pic/2010/12/07/1291634694.png" alt="" name="zoom_img" /></a></div>
<div>克隆流程设计</div>
</div>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>读懂你的思想</title>
		<link>http://www.91bio.com/read-your-mind/</link>
		<comments>http://www.91bio.com/read-your-mind/#comments</comments>
		<pubDate>Tue, 30 Aug 2011 11:04:01 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物信息学]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645261</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 在科幻的电影中总有所谓的先知能够深入你的大脑，读懂你的思想，现在将有可能变成现实，来看看这个思想转换器。 来自马里兰大学的科学家们日前研制成功了一款“思想转换器”，将为全世界的残障人士带来福音。与其他的脑电波至计算机的转换技术不同，这种新型转换器是非侵入性的，同时使用者无须接受训练即可操作。转换器会借助脑电图技术对使用者的脑电波进行记录，分析使用者在做出相应动作时脑电波的变化，进而将这些大脑信号重新转换为脚踝、膝盖及其它关节的复杂动作。在这一“思想转换器”的帮助下，不仅残障人士可以依靠个人力量完成更多的动作，正常人也可以使用该设备更方便地操纵其它设施。换言之，有了这个脑电波转换器，您只需要动动脑子，就可以轻松控制电脑、假肢、电动轮椅甚至是电子虚拟形象。 &#160; 分享收藏本文]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>在科幻的电影中总有所谓的先知能够深入你的大脑，读懂你的思想，现在将有可能变成现实，来看看这个<a title="Permanent Link to 思想转换器" href="http://www.patent-cn.com/2011/08/28/55915.shtml" rel="bookmark">思想转换器</a>。</p>
<p><img title="20110826115" src="http://www.patent-cn.com/wp-content/uploads/2011/08/20110826115.jpg" alt="20110826115" /></p>
<p>来自马里兰大学的科学家们日前研制成功了一款“思想转换器”，将为全世界的残障人士带来福音。与其他的脑电波至计算机的转换技术不同，这种新型转换器是非侵入性的，同时使用者无须接受训练即可操作。转换器会借助脑电图技术对使用者的脑电波进行记录，分析使用者在做出相应动作时脑电波的变化，进而将这些大脑信号重新转换为脚踝、膝盖及其它关节的复杂动作。在这一“思想转换器”的帮助下，不仅残障人士可以依靠个人力量完成更多的动作，正常人也可以使用该设备更方便地操纵其它设施。换言之，有了这个脑电波转换器，您只需要动动脑子，就可以轻松控制电脑、假肢、电动轮椅甚至是电子虚拟形象。</p>
<p>&nbsp;</p>
<p><img title="20110826115" src="http://www.patent-cn.com/wp-content/uploads/2011/08/20110826116.jpg" alt="20110826115" /></p>
<p><img title="20110826115" src="http://www.patent-cn.com/wp-content/uploads/2011/08/20110826117.jpg" alt="20110826115" /></p>
<p><img title="20110826115" src="http://www.patent-cn.com/wp-content/uploads/2011/08/20110826118.jpg" alt="20110826115" /></p>
<p><a id="snshare_link_55915" title="收藏本文" href="http://www.patent-cn.com/2011/08/28/55915.shtml#" rel="noindex nofollow">分享收藏本文</a></p>
<div></div>
<div></div>
]]></content:encoded>
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		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>ELISPOT技术原理和技术特点</title>
		<link>http://www.91bio.com/elispot-technology-principles-and-technical-characteristics/</link>
		<comments>http://www.91bio.com/elispot-technology-principles-and-technical-characteristics/#comments</comments>
		<pubDate>Sat, 27 Aug 2011 10:37:02 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[ELISA]]></category>
		<category><![CDATA[Elispot]]></category>
		<category><![CDATA[免疫]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645313</guid>
		<description><![CDATA[ELISPOT全名为酶联免疫斑点检测，英文：Enzyme-linked Immunospot Assay。它结合了细胞培养技术与酶联免疫吸附技术（即ELISA技术），能够在单细胞水平检测细胞因子的分泌情况。其技术原理，一句话概括就是：用抗 体捕获培养中的细胞分泌的细胞因子，并以酶联斑点显色的方式将其表现出来（Sedgwick JD 2005）。 该技术检测细胞因子具有三大优点：其一，灵敏度高。在一百万个阴性细胞中只要有一个分泌细胞因子的阳性细胞即可被检测出来。这是目前为止，最为灵敏的检测 技术，灵敏度比传统的的ELISA方法高2-3个数量级。其二，单细胞水平，活细胞功能检测。ELISPOT检测的是单个细胞分泌，而非细胞群体的平均分 泌。在检测的过程中，有活细胞培养与抗原刺激阶段，检测的是活细胞的功能，而非死细胞的遗留物。其三，操作简便经济，可以进行高筒量筛选。ELISPOT 没有复杂的细胞体外扩增过程，不使用同位素，不需要大型的、专门的实验仪器设备。按照标准化的实验操作，一个实验者可以同时处理数百个样品，效率远远高于 其它检测方法（Kalyuzhny AE 2005）。 实验设计在96孔培养板上进行，直接以培养板的塑料板底或者PVDF膜以及硝酸纤维素膜为基质，包被上特异性的单克隆抗体，用以捕获细胞分泌的细胞因子。 （由于涉及到细胞培养的过程，对单克隆抗体的要求要远高于ELISA中的捕获抗体，该抗体需要无毒，不含内毒素，亲和力高等特点。）之后，在培养板的孔内 加入细胞培养基（现在无血清ELISPOT技术已经成熟，培养基中可以不再含有血清）、待检测的细胞以及抗原刺激物进行培养。 在特异性的抗原或者非特异性的有丝分裂原的刺激下，数小时之内，T细胞就会开始分泌各种细胞因子。细胞因子当即就被位于细胞下方的膜上的单克隆抗体所捕 获。在洗去细胞之后，被捕获的细胞因子可以与生物素标记的第二抗体结合，然后用酶标亲和素再与生物素结合，进行化学酶联显色，就可以在膜的局部形成一个个 圆形的斑点。每一个斑点就对应了当初一个分泌细胞因子的细胞，这些细胞被称为斑点形成细胞（Spots forming cells SFCs）。统计膜上的斑点的数目，再除以当初加入孔内的细胞总数，就可以计算出阳性细胞的频率。]]></description>
			<content:encoded><![CDATA[<p>ELISPOT全名为酶联免疫斑点检测，英文：Enzyme-linked Immunospot Assay。它结合了细胞培养技术与酶联免疫吸附技术（即ELISA技术），能够在单细胞水平检测细胞因子的分泌情况。其技术原理，一句话概括就是：用抗 体捕获培养中的细胞分泌的细胞因子，并以酶联斑点显色的方式将其表现出来（Sedgwick JD 2005）。</p>
<p>该技术检测细胞因子具有三大优点：其一，灵敏度高。在一百万个阴性细胞中只要有一个分泌细胞因子的阳性细胞即可被检测出来。这是目前为止，最为灵敏的检测 技术，灵敏度比传统的的ELISA方法高2-3个数量级。其二，单细胞水平，活细胞功能检测。ELISPOT检测的是单个细胞分泌，而非细胞群体的平均分 泌。在检测的过程中，有活细胞培养与抗原刺激阶段，检测的是活细胞的功能，而非死细胞的遗留物。其三，操作简便经济，可以进行高筒量筛选。ELISPOT 没有复杂的细胞体外扩增过程，不使用同位素，不需要大型的、专门的实验仪器设备。按照标准化的实验操作，一个实验者可以同时处理数百个样品，效率远远高于 其它检测方法（Kalyuzhny AE 2005）。</p>
<p>实验设计在96孔培养板上进行，直接以培养板的塑料板底或者PVDF膜以及硝酸纤维素膜为基质，包被上特异性的单克隆抗体，用以捕获细胞分泌的细胞因子。 （由于涉及到细胞培养的过程，对单克隆抗体的要求要远高于ELISA中的捕获抗体，该抗体需要无毒，不含内毒素，亲和力高等特点。）之后，在培养板的孔内 加入细胞培养基（现在无血清ELISPOT技术已经成熟，培养基中可以不再含有血清）、待检测的细胞以及抗原刺激物进行培养。</p>
<p>在特异性的抗原或者非特异性的有丝分裂原的刺激下，数小时之内，T细胞就会开始分泌各种细胞因子。细胞因子当即就被位于细胞下方的膜上的单克隆抗体所捕 获。在洗去细胞之后，被捕获的细胞因子可以与生物素标记的第二抗体结合，然后用酶标亲和素再与生物素结合，进行化学酶联显色，就可以在膜的局部形成一个个 圆形的斑点。每一个斑点就对应了当初一个分泌细胞因子的细胞，这些细胞被称为斑点形成细胞（Spots forming cells SFCs）。统计膜上的斑点的数目，再除以当初加入孔内的细胞总数，就可以计算出阳性细胞的频率。</p>
<p><img class="aligncenter" src="http://www.biomart.cn//upload/userfiles/image/131242281669882.gif" alt="" /></p>
]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>结婚了吗？发胖了吗？离婚了？也发福了？</title>
		<link>http://www.91bio.com/married-fat-it-divorced-fu-also-made-a-2/</link>
		<comments>http://www.91bio.com/married-fat-it-divorced-fu-also-made-a-2/#comments</comments>
		<pubDate>Sat, 27 Aug 2011 03:02:01 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>

		<guid isPermaLink="false">http://www.91bio.com/married-fat-it-divorced-fu-also-made-a-2/</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！ 男人一到30郎当岁，结婚后基本都开始发福了，找生物大学毕业也要快10年了，几个同学见面基本都是大腹便便了，哈哈。这基本上都会说结婚后都开始发福了！且看最新的研究结果： 美国州立俄亥俄大学研究人员说，先前研究显示结婚会让人发福，离婚会令人消瘦，但他们的研究显示，无论结婚与离婚都会令人发胖。研究人员22日在拉斯韦加斯召开的美国社会学学会年会上公布这一研究结果。 研究人员使用”国家青年跟踪调查”的数据，统计了10071名调查对象的身高体重指数（BMI）变化情况，结合他们的婚姻状况进行分析，特别关注结 婚或者离婚头两年的体重变化。研究人员发现，即使把健康状况、受教育程度、工作情况、收入以及生育情况等因素都考虑在内，人在刚结婚和刚离婚时体重都会有 波动。 研究人员在报告中写道：”婚姻状况改变会影响体重，无论何种改变都会让体重小幅上升。”与20多岁的人相比，这一影响对30多岁的人更为明显。 &#160; 州立俄亥俄大学社会学教授钱振超（音译）说：”结婚或离婚后，无论男女都会发胖。但是，女性结婚后发胖更多，男性离婚后发胖更多。” 英国媒体昨日引述研究负责人德米特里·图明的话报道：”很显然，婚姻状况改变对体重的影响因性别不同而有差别。在某种程度上，男性因离婚，女性因结婚发胖的程度可能会影响健康。” &#160; 为何婚姻状况改变会影响体重，研究员表示：”结婚以后，女性要照顾家庭，饮食习惯也会向丈夫靠拢。”另外，由于忙于家务，她们可能没有时间去锻炼。男性结婚后会吃得比结婚前健康，同时会经常做身体检查。不过离婚后，他们就会失去这些健康”保护伞”。 丹佛婚姻顾问海伦·赖利认为，喜悦和痛苦都是强烈的感情，可能会影响胃口，特别是对刚离婚的人而言影响更为明显。 赖利还认为，不仅是结婚与离婚，其他家庭情况变化，如孩子出生、上学、结婚等同样会影响人的体重。]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！</p>
<p>男人一到30郎当岁，结婚后基本都开始发福了，找生物大学毕业也要快10年了，几个同学见面基本都是大腹便便了，哈哈。这基本上都会说结婚后都开始发福了！且看最新的研究结果：</p>
<p>美国州立俄亥俄大学研究人员说，先前研究显示结婚会让人发福，离婚会令人消瘦，但他们的研究显示，无论结婚与离婚都会令人发胖。研究人员22日在拉斯韦加斯召开的美国社会学学会年会上公布这一研究结果。</p>
<p>研究人员使用”国家青年跟踪调查”的数据，统计了10071名调查对象的身高体重指数（BMI）变化情况，结合他们的婚姻状况进行分析，特别关注结 婚或者离婚头两年的体重变化。研究人员发现，即使把健康状况、受教育程度、工作情况、收入以及生育情况等因素都考虑在内，人在刚结婚和刚离婚时体重都会有<br />
波动。</p>
<p>研究人员在报告中写道：”婚姻状况改变会影响体重，无论何种改变都会让体重小幅上升。”与20多岁的人相比，这一影响对30多岁的人更为明显。</p>
<p>&nbsp;</p>
<p>州立俄亥俄大学社会学教授钱振超（音译）说：”结婚或离婚后，无论男女都会发胖。但是，女性结婚后发胖更多，男性离婚后发胖更多。”</p>
<p>英国媒体昨日引述研究负责人德米特里·图明的话报道：”很显然，婚姻状况改变对体重的影响因性别不同而有差别。在某种程度上，男性因离婚，女性因结婚发胖的程度可能会影响健康。”</p>
<p>&nbsp;</p>
<p>为何婚姻状况改变会影响体重，研究员表示：”结婚以后，女性要照顾家庭，饮食习惯也会向丈夫靠拢。”另外，由于忙于家务，她们可能没有时间去锻炼。男性结婚后会吃得比结婚前健康，同时会经常做身体检查。不过离婚后，他们就会失去这些健康”保护伞”。</p>
<p>丹佛婚姻顾问海伦·赖利认为，喜悦和痛苦都是强烈的感情，可能会影响胃口，特别是对刚离婚的人而言影响更为明显。</p>
<p>赖利还认为，不仅是结婚与离婚，其他家庭情况变化，如孩子出生、上学、结婚等同样会影响人的体重。<span style="font-size: 10pt;"><br />
</span></p>
]]></content:encoded>
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		</item>
		<item>
		<title>有趣好玩的细胞生物学游戏</title>
		<link>http://www.91bio.com/fun-fun-game-cell-biology/</link>
		<comments>http://www.91bio.com/fun-fun-game-cell-biology/#comments</comments>
		<pubDate>Fri, 26 Aug 2011 11:47:58 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[有趣]]></category>
		<category><![CDATA[生物游戏]]></category>
		<category><![CDATA[细胞]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645255</guid>
		<description><![CDATA[找生物-分享有趣、实用的生物资源！今天介绍个有趣、好玩的细胞生物学游戏，是个Flash版本的，推出的时间也有很长一段时间了，在游戏的同时还以学习、巩固下学到的细胞生物学知识，可乐而不为呢？那跟找生物一块看看吧： 本游戏是由Kongregate Games公司出品的，名字叫做 CellCraft （呵呵这个应该翻译成神马？），在游戏中需要建造、控制并想办法使细胞存活（哈哈，养细胞啊养细胞），当然了都是在显微结构下游戏的，还有更多好玩的地方需要您自己去发现。那就赶快到下面的地址去大显身手吧！ 点我开始游戏! 如有您有好玩的关于生物学方面的小游戏，一定要告诉找生物！也可以在评论中探讨游戏或者学习心得！ Tips：在找生物留言，是不需要注册的，添上您的名称和邮箱就可以发表高见了，还不赶快试试！]]></description>
			<content:encoded><![CDATA[<p>找生物-分享有趣、实用的生物资源！今天介绍个有趣、好玩的细胞生物学游戏，是个Flash版本的，推出的时间也有很长一段时间了，在游戏的同时还以学习、巩固下学到的细胞生物学知识，可乐而不为呢？那跟找生物一块看看吧：</p>
<div>
<p><img title="CellCraft" src="http://thebioblog.com/wp-content/uploads/2010/07/Screen-shot-2010-07-09-at-2.16.53-PM.png" alt="" width="513" height="382" /></p>
<p>本游戏是由Kongregate Games公司出品的，名字叫做 CellCraft （呵呵这个应该翻译成神马？），在游戏中需要建造、控制并想办法使细胞存活（哈哈，养细胞啊养细胞），当然了都是在显微结构下游戏的，还有更多好玩的地方需要您自己去发现。那就赶快到下面的地址去大显身手吧！</p>
<p><a title="CellCraft Cell Biology Flash Game" href="http://www.kongregate.com/games/CellCraft/cellcraft">点我开始游戏!</a></p>
<p>如有您有好玩的关于生物学方面的小游戏，一定要告诉找生物！也可以在评论中探讨游戏或者学习心得！</p>
<p>Tips：在找生物留言，是不需要注册的，添上您的名称和邮箱就可以发表高见了，还不赶快试试！</p>
</div>
]]></content:encoded>
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		</item>
		<item>
		<title>ELISPOT技术的应用与展望</title>
		<link>http://www.91bio.com/elispot-technology-and-prospects/</link>
		<comments>http://www.91bio.com/elispot-technology-and-prospects/#comments</comments>
		<pubDate>Fri, 26 Aug 2011 10:41:04 +0000</pubDate>
		<dc:creator>sharebio</dc:creator>
				<category><![CDATA[实用]]></category>
		<category><![CDATA[ELISA]]></category>
		<category><![CDATA[Elispot]]></category>
		<category><![CDATA[免疫]]></category>
		<category><![CDATA[疫苗]]></category>

		<guid isPermaLink="false">http://www.91bio.com/?p=645316</guid>
		<description><![CDATA[ELISPOT技术的独特优点已经让它在抗原特异性T细胞免疫学研究上独占鳌头。它是当今唯一能够检测到到百万分之一阳性细胞率的检测技术。如此高的灵敏 度就连流式细胞技术（细胞内细胞因子染色）和tetramer技术也望尘莫及（Letsch A et. al.， 2003）。此外由于淋巴细胞的冻存复苏问题也得到了完美的解决，经过冻存复苏的细胞并不丧失免疫功能（Maecker HT et. al.， 2005；Kvarnstrom M et. al.， 2004）。这一点对临床试验非常重要，它使科研人员得以并行分析免疫治疗前、后的病人血样。如果试验牵涉全国乃至全球多个临床试验机构，病人血样可冻 存、运输到到核心实验室仪器检测。同理，一个实验样品或标准对照品可分装冻存，运输到不同的实验室检测，以资比较。 所以，ELISPOT技术的应用在国外已经完全普及。凡是需要进行免疫学检测的地方机会都可以应用该项技术。粗略的划分可以分为以下几类： 1、疫苗研究开发 ELISPOT检测已经成为评价疫苗细胞免疫反应最有效的指标（Harrop R et. al.， 2004）。我们知道，疫苗的保护效果可以分为两部分：体液免疫保护和细胞免疫保护。有效的疫苗不仅能够激发强烈的体液免疫，也能激发有效的细胞免疫 （Holmgren J et. al.， 1992b）。对于某些持续性感染的疾病，疫苗的细胞免疫保护效果甚至居于主要地位。最著名的例子是艾滋病疫苗开发（Lee FK et. al.， 1989；Stratov I et. al.， 2004）。由于艾滋病毒的超级突变能力，体液免疫往往会被病毒轻易逃避，体内真正控制病毒复制的因素是细胞免疫反应，即清除受感染的CD4+细胞 （Vahlne A et. al.， 1991；Maecker HT et. al.， 2003）。除了预防性的疫苗开发之外，治疗性疫苗也是目前疫苗开发的重要组成部分。治疗疫苗的主要功能在于重新激发起人体内被抑制的针对病源细胞免疫反 应。目前的治疗仪表包括乙肝疫苗、黑色素瘤疫苗（Zarour HM et. al.， 2003）、肝癌疫苗（Chi KH et. al.， 2005）、自身免疫疫苗等等。 2、临床指导 许多疾病的发生、发展都是与人体的免疫系统异常相关联的。比如各种自身免疫疾病：I-型糖尿病（Karlsson [...]]]></description>
			<content:encoded><![CDATA[<p>ELISPOT技术的独特优点已经让它在抗原特异性T细胞免疫学研究上独占鳌头。它是当今唯一能够检测到到百万分之一阳性细胞率的检测技术。如此高的灵敏 度就连流式细胞技术（细胞内细胞因子染色）和tetramer技术也望尘莫及（Letsch A et. al.， 2003）。此外由于淋巴细胞的冻存复苏问题也得到了完美的解决，经过冻存复苏的细胞并不丧失免疫功能（Maecker HT et. al.， 2005；Kvarnstrom M et. al.， 2004）。这一点对临床试验非常重要，它使科研人员得以并行分析免疫治疗前、后的病人血样。如果试验牵涉全国乃至全球多个临床试验机构，病人血样可冻 存、运输到到核心实验室仪器检测。同理，一个实验样品或标准对照品可分装冻存，运输到不同的实验室检测，以资比较。</p>
<p>所以，ELISPOT技术的应用在国外已经完全普及。凡是需要进行免疫学检测的地方机会都可以应用该项技术。粗略的划分可以分为以下几类：</p>
<p><strong>1、疫苗研究开发</strong></p>
<p>ELISPOT检测已经成为评价疫苗细胞免疫反应最有效的指标（Harrop R et. al.， 2004）。我们知道，疫苗的保护效果可以分为两部分：体液免疫保护和细胞免疫保护。有效的疫苗不仅能够激发强烈的体液免疫，也能激发有效的细胞免疫 （Holmgren J et. al.， 1992b）。对于某些持续性感染的疾病，疫苗的细胞免疫保护效果甚至居于主要地位。最著名的例子是艾滋病疫苗开发（Lee FK et. al.， 1989；Stratov I et. al.， 2004）。由于艾滋病毒的超级突变能力，体液免疫往往会被病毒轻易逃避，体内真正控制病毒复制的因素是细胞免疫反应，即清除受感染的CD4+细胞 （Vahlne A et. al.， 1991；Maecker HT et. al.， 2003）。除了预防性的疫苗开发之外，治疗性疫苗也是目前疫苗开发的重要组成部分。治疗疫苗的主要功能在于重新激发起人体内被抑制的针对病源细胞免疫反 应。目前的治疗仪表包括乙肝疫苗、黑色素瘤疫苗（Zarour HM et. al.， 2003）、肝癌疫苗（Chi KH et. al.， 2005）、自身免疫疫苗等等。</p>
<p><strong>2、临床指导</strong></p>
<p>许多疾病的发生、发展都是与人体的免疫系统异常相关联的。比如各种自身免疫疾病：I-型糖尿病（Karlsson Faresjo MG et. al.， 2005），多发硬化症（Moldovan IR et. al.， 2005）、系统性红斑狼疮（Kalsi JK et. al.， 2004）、牛皮癣/银屑病（Sigmundsdottir H t. al.， 1997）、结核病（Restrepo BI 2004）、自身免疫性心肌炎（Maier R et. al.， 2005）、自身免疫性感音性耳聋（Solares CA et. al.， 2005）、风湿性关节炎（Klatt T et. al.， 2005）、.视神经脊髓炎（Correale J et. al.， 2004）等等。在这些疾病的诊断、病因查找中，ELISPOT检测可以提供非常重要的信息，甚至成为最终指标。比如在I-型糖尿病的诊断 中，ELISPOT可以提供最终的判定依据（Meierhoff G et. al.， 2002）。而对有糖尿病史的家族，做ELISPOT检测，甚至可以在疾病发作之前5-10年作出预测（Karlsson Faresjo MG et. al.， 2005；Seissler J et. al.， 2001）。这对于指导病人的日常生活，提高治疗效果有着重要的现实意义。</p>
<p>ELISPOT除了直接用于临床诊断，还可以对于治疗和用药提供重要的参考信息。比如对于器官移植者，用ELISPOT监视患者体内的免疫排斥反应，可以 有针对性的用药，避免盲目的使用免疫抑制剂（Tung TH et. al.， 2005）。这对于增加移植手术的成功率，延长移植器官的存活率，提高病人的生活质量意义重大（van Besouw NM et. al.， 2005；Tambur AR et. al.， 2005）。类似的ELISPOT免疫监视也见于基因治疗的病人（Whiteside TL et. al.， 2003）。再比如对于乙肝病人，如果用ELISPOT检测观者所处的免疫阶段（急性期、平稳期、耐受期、恢复期），有针对的用药，同时评估各种药物对于 观者的治疗效果，远优于盲目治疗（Fan ZP et. al.， 2004；Lohr HF et. al.， 1998）。</p>
<p><strong>3、基础研究</strong></p>
<p>ELISPOT技术本来就是在基础研究中创立和发展起
