我们感谢他们的合作，奥地利维也纳大学临床病理研究所教授Dontscho Kerjaschki，科里纳Mayrhofer和Sigurd克里格。

细胞培养<ol><li>种植中国仓鼠卵巢细胞（CHO - K1）使用标准细胞培养过程中的F - 12火腿中含10％小牛血清，50 U / ml青霉素，50μg/ ml的硫酸链霉素（Invitrogen公司）与GlutaMAX我。 </li><li>交易所培养基，无血清培养基。标签的细胞表面蛋白CyDye DIGE Fluor公司Cy3标记或Cy5最小的染料（见部分细胞表面标记 ，下面）在不同的时间点。 </li><li>从各时间点和CyDye DIGE Fluor公司CY2标签细胞的数目相等的池。使用这些内部标准为每一个2 - D凝胶。 </li><li> CHO - K1细胞进行的实验都可以，但小鼠胚胎成纤维细胞（3T3 L1）和小鼠腹水淋巴瘤淋巴母细胞（EL4）也可以使用（数据未显示）。 </li><li>成长与GlutaMAX第二DMEM培养基中的两个后一种类型的细胞，但是，否则，使用相同的条件下使用的CHO - K1细胞。 </li></ol>细胞表面的标签<ol><li>仔细非酶解，分离贴壁细胞计数和到5-10 x106细胞等份划分。对于悬浮液中生长的细胞，省略了分离步骤。 </li><li>离心5分钟，约800 XG的细胞悬液。含介质取出上清液。 </li><li> 1毫升冰冷的Hanks平衡盐溶液（HBSS）pH值8.5 resuspendion洗净颗粒。离心800 XG在4 ° C时2分钟。 </li><li>去除上清，悬浮细胞沉淀（pH值8.5的HBSS，1 M尿素）200μL冰冷的标签缓冲区。 </li><li>标签完整的细胞，与600 pmol CyDye DIGE Fluor公司最少为20分钟，在黑暗中冰染料。 </li><li>淬火加入20μL10毫米赖氨酸的反应。孵育10分钟。 </li><li>两次在500μL的HBSS pH值7.4，在4 ° C时2分钟离心800 XG洗净再悬浮的表面标记的细胞。 </li></ol>细胞裂解和分馏<ol><li>在150μL冷裂解液（7 M尿素，硫脲2米，4％CHAPS，30毫米三，5毫米醋酸镁的pH值8.5）的表面标记的细胞裂解。冰离开至少1 h偶有震荡。 </li><li>离心机在10 000 XG的细胞裂解液在4 ° C 5分钟。将上清转移至新管。此示例的非分割的样本包含了所有的细胞蛋白。 </li><li>与此同时，洗细胞沉淀，如上，然后分馏（使用的膜分离组件，皮尔斯）到细胞膜和细胞质组分之前的2 - D凝胶电泳。膜分数包含内部和细胞表面的膜蛋白。 </li><li>相比较而言，遵循的标准Ettan DIGE过程3，和裂解，标签，和，最后，分馏的细胞。确定在使用2个样品的蛋白质浓度 - D定量试剂盒（GE医疗）。 </li></ol> 2 - D电泳<ol><li>补充水分Immobiline DryStrip凝胶，pH值3 - 11NL（24厘米）使用Immobiline DryStrip Reswelling纸盒，24厘米在450μLDeStreak补液盐（0.5％IPG缓冲）过夜。 </li><li>应用CyDye标记的样本（相当于50μg总蛋白）Immobiline在多方面的阳极杯加载DryStrip凝胶和执行等电聚焦（IEF），根据指示使用Ettan IPGphor II等电聚焦系统。 </li><li>国际盛事基金，平衡后的带两个步骤和大（26 × 20厘米）12.5％的聚丙烯酰胺凝胶电泳（SDS - PAGE）上进行。运行缓冲液含有溴酚蓝）与0.5％的琼脂糖覆盖（。运行2 - D电泳使用Ettan DALTtwelve大型垂直系统在5 / 30分钟凝胶，然后在15瓦/凝胶，直到染料前沿到达凝胶底部。 </li></ol>成像和数据分析<ol><li>完成2 - D电泳后，凝胶，使用一个台风9410可变模式成像扫描CY2，Cy3标记或Cy5。 </li><li>比较膜组分，细胞质组分和非分割的样品使用DeCyder的2 - D差异分析软件 4现场的地图。 </li></ol>染色后<ol><li>成像后，银染凝胶，按照标准程序 5 。 </li></ol>蛋白质鉴定<ol><li>种植，收获，清洗和裂解制备金额（约1毫克总蛋白的10 x106 CHO细胞）的细胞，作为一个非分割的样本以上。使用作为秒杀一个Cy5的细胞表面标记的样本（见上文），并适用于蛋白质的不知名的制备金额一起。 </li><li>开展上文所述的2 - D电泳，但这个时候，aplly 600微克未标记的细胞裂解液50微克的细胞表面标记的阳极杯应用穗。使用参考标记，以便正确的现场采摘，到位之间的凝胶铸造前玻璃板根据建议3。 </li><li> Cy5的通道扫描凝胶获得了Cy5的细胞表面的现场图，总蛋白染色用深紫色的总蛋白染色3。 </li><li>搭配在一起的两个当场地图使用DeCyder 2 - D软件，并创建一个对应的赛扬5标记的细胞表面蛋白的所有景点的选择列表。选择使用Ettan当场处理站的细胞表面蛋白，提取凝胶插头，trypsinate使用Ettan沼气池。确定使用MALDI - TOF质谱。 </li></ol> 表1。Ettan DIGE实验使用耗尽标记的细胞表面蛋白在图1的标签协议，从血清细胞样本。 <table style="width: 517px; height: 139px;" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td style="text-align:center; font-weight:bold">样品</td><td style="text-align:center; font-weight:bold">血清枯竭的时间</td><td style="text-align:center; font-weight:bold"> 标记的与CyDye </td><td style="text-align:center; font-weight:bold">凝胶数量</td></tr><tr><td style="text-align:center;"> 1 </td><td style="text-align:center;"> - </td><td style="text-align:center;">赛扬3，赛扬2 </td><td style="text-align:center;"> 1 </td></tr><tr><td style="text-align:center;"> 2 </td><td style="text-align:center;"> 30分钟</td><td style="text-align:center;"> 5赛扬，赛扬2 </td><td style="text-align:center;"> 1 </td></tr><tr><td style="text-align:center;"> 3 </td><td style="text-align:center;"> 2个小时</td><td style="text-align:center;">赛扬3，赛扬2 </td><td style="text-align:center;"> 2 </td></tr><tr><td style="text-align:center;"> 4 </td><td style="text-align:center;"> 4个小时</td><td style="text-align:center;"> 5赛扬，赛扬2 </td><td style="text-align:center;"> 2 </td></tr><tr><td style="text-align:center;"> 5 </td><td style="text-align:center;"> 16个小时</td><td style="text-align:center;"> 5赛扬，赛扬2 </td><td style="text-align:center;"> 3 </td></tr></tbody></table>

<ol>
	<li>Jang, J. H., Hanash, S. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Profiling+of+the+cell+surface+proteome.">Profiling of the cell surface proteome.</a> Proteomics. 3, 1947-1954 (2003).</li><li>Shin, B. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Global+profiling+of+the+cell+surface+proteome+of+cancer+cells+uncovers+an+abundance+of+proteins+with+chaperone+function.">Global profiling of the cell surface proteome of cancer cells uncovers an abundance of proteins with chaperone function.</a> J Biol Chem. 9, 7607-7616 (2003).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Ettan+DIGE+System+User+Manual.">Ettan DIGE System User Manual.</a> GE Healthcare user manual 18-1164-40. , (2006).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=DeCyder+2-D+Differential+Analysis+Software+v+6.0.+GE+Healthcare+data+file+11-0011-98+Edition+AA.">DeCyder 2-D Differential Analysis Software v 6.0. GE Healthcare data file 11-0011-98 Edition AA.</a> , (2004).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=2-D+Electrophoresis+using+immobilized+pH+gradients,+principles+and+methods.">2-D Electrophoresis using immobilized pH gradients, principles and methods.</a> GE Healthcare handbook 80-6429-60 Edition AB. , (2002).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=CyDye+DIGE+fluors+and+labeling+kits.+GE+Healthcare+data+file+18-1164-84+Edition+AB.">CyDye DIGE fluors and labeling kits. GE Healthcare data file 18-1164-84 Edition AB.</a> , (2003).</li><li>Mayrhofer, C., Krieger, S., Allmaier, G., Kerjaschki, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=DIGE+compatible+labeling+of+surface+proteins+on+vital+cells+in+vitro+and+in+vivo.">DIGE compatible labeling of surface proteins on vital cells in vitro and in vivo.</a> Proteomics. 2, 579-5785 (2006).</li><li>. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Selective+labeling+of+cell-surface+proteins+using+CyDye+DIGE+Fluor+minimal+dyes.+GE+Healthcare+Application+Note+11-0033-92+Edition+AB.">Selective labeling of cell-surface proteins using CyDye DIGE Fluor minimal dyes. GE Healthcare Application Note 11-0033-92 Edition AB.</a> , (2005).</li></ol>

蛋白质浓度概述两个标签工作流程如图1所示。根据细胞表面蛋白标签协议标记时，由于细胞仍然完好，只在细胞表面的蛋白质暴露的染料。在标准Ettan DIGE协议，细胞裂解之前，标签和内以及在细胞外的蛋白质标记（图1）。染料相对量的蛋白质在细胞表面的蛋白标记协议是不知道，因为细胞表面蛋白无法具体定量分析。然而，它是已知的细胞表面蛋白2细胞蛋白构成的?...

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		<div>
		<table border="1">
		<thead>
		<tr>
		<th>Material Name</th>
		<th>Type</th>
		<th>Company</th>
		<th>Catalogue Number</th>
		<th>Comment</th>
		</tr>
		</thead>
		<tbody>
		
<tr>
<td>CyDye DIGE Kit, 2 nmol</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>28-9345-30</td>
<td>&nbsp;</td>
<tr>
<td>2-D Quant Kit</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>80-6484-51</td>
<td>&nbsp;</td>
<tr>
<td>IPG Buffer pH 3-11NL</td>
<td>Reagent</td>
<td>GE Heallthcare</td>
<td>17-6004-40</td>
<td>&nbsp;</td>
<tr>
<td>Immobiline DryStrip pH 3-11NL, 24 cm</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-6003-77</td>
<td>&nbsp;</td>
<tr>
<td>IPGbox</td>
<td>Tool</td>
<td>GE Healthcare</td>
<td>28-9334-65</td>
<td>&nbsp;</td>
<tr>
<td>IPGbox kit</td>
<td>Tool</td>
<td>GE Healthcare</td>
<td>28-9334-92</td>
<td>&nbsp;</td>
<tr>
<td>DeStreak Rehydration solution</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-6003-19</td>
<td>&nbsp;</td>
<tr>
<td>Immobiline DryStrip Cover Fluid</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1335-01</td>
<td>&nbsp;</td>
<tr>
<td>Ettan IPGphor 3 IEF Unit</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>11-0033-64</td>
<td>&nbsp;</td>
<tr>
<td>Ettan IPGphor Manifold</td>
<td>Instrument component</td>
<td>GE Healthcare</td>
<td>80-6498-38</td>
<td>&nbsp;</td>
<tr>
<td>Ettan DALTtwelve Gel Caster </td>
<td>Tool</td>
<td>GE Healthcare</td>
<td>80-6467-22</td>
<td>&nbsp;</td>
<tr>
<td>Ettan DALTtwelve Separation Unit and Power Supply/Control Unit</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>80-6466-46</td>
<td>230 V unit: 80-6466-27</td>
</tr>
<tr>
<td>Typhoon 9410 Variable Mode Imager</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>63-0055-81</td>
<td>&nbsp;</td>
<tr>
<td>Ettan Spot Picker</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>18-1145-28</td>
<td>&nbsp;</td>
<tr>
<td>Ettan Digester</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>18-1142-68</td>
<td>&nbsp;</td>
<tr>
<td>Ettan Spotter</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>18-1142-67</td>
<td>&nbsp;</td>
<tr>
<td>Ettan MALDI-TOF</td>
<td>Instrument</td>
<td>GE Healthcare</td>
<td>18-1142-33</td>
<td>&nbsp;</td>
<tr>
<td>DeCyder 2-D Differential Analysis Software</td>
<td>Other</td>
<td>GE Healthcare</td>
<td>28-4012-01</td>
<td>&nbsp;</td>
<tr>
<td>ImageQuant Analysis Software</td>
<td>Other</td>
<td>GE Healthcare</td>
<td>28-9236-62</td>
<td>&nbsp;</td>
<tr>
<td>Urea</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1319-01</td>
<td>&nbsp;</td>
<tr>
<td>CHAPS</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1314-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne Dithiothreitol (DTT)</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1318-01</td>
<td>&nbsp;</td>
<tr>
<td>Bromophenol Blue</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1329-01</td>
<td>&nbsp;</td>
<tr>
<td>Tris</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1321-01</td>
<td>&nbsp;</td>
<tr>
<td>Sodium Dodecylsulfate (SDS)</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1313-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne Glycerol 87%</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1325-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne ReadySol IEF 40% T, 3% C</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1310-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne TEMED</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1312-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne Ammonium Persulfate</td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1311-01</td>
<td>&nbsp;</td>
<tr>
<td>PlusOne Glycine </td>
<td>Reagent</td>
<td>GE Healthcare</td>
<td>17-1323-01</td>
<td>&nbsp;</td>
<tr>
<td>2-D Sample Prep for membrane proteins</td>
<td>Reagent</td>
<td>Pierce</td>
<td>89864</td>
<td>&nbsp;</td>
<tr>
<td>Streptomycin sulphate</td>
<td>Reagent</td>
<td>Invitrogen</td>
<td>15140-122</td>
<td>&nbsp;</td>		</tbody>
		</table>
		</div>

selective labelling of cell-surface proteins using cydye dige fluor minimal dyes

表面蛋白是细胞的反应能力，它的环境，与邻近的细胞相互作用的核心。它们是已知的几乎所有的细胞内信号诱导。此外，他们在环境适应和药物治疗发挥重要作用，而且往往在疾病的发病机制和病理（1）参与。蛋白质 - 蛋白质相互作用的内在信号通路，并获得更深入地了解这些复杂的生物过程，需要敏感和可靠的方法是研究细胞表面的蛋白质。二维电泳（2 - D）是广泛用于复杂的蛋白质样品中的生物标志物和其他目标的检测，研究差的变化。细胞表面蛋白，部分原因是由于他们的低丰度（1 2％的细胞蛋白），是很难检测到，没有分馏或一些其他类型的浓缩在一个2 - D凝胶。他们也往往不佳的2 - D凝胶，由于其疏水性和超高分子量（2）表示。在这项研究中，我们提出一个新的协议为使用这种蛋白质的重要​​的一组特定的标签和检测CyDye DIGE Fluor公司最小的染料的完整细胞。结果表明：大量的细胞表面蛋白与细胞内蛋白质的最小标签的具体标注。此协议是快速，简单易用，所有三个CyDye DIGE Fluor公司（赛扬2，赛扬3和CY 5）最小的染料，可用于标记细胞表面蛋白。这些特性允许复用的2 - D荧光差异凝胶电泳（2 - D DIGE）Ettan DIGE技术和使用DeCyder的2 - D差异分析软件蛋白表达变化的分析。随后在CHO细胞中不同的时间长度（见表1）血清饥饿的细胞表面蛋白的水平。丰富的小变化，具有精度高，检测结果是由定义的统计方法的支持。

Watch this Scientific Journal Video about Selective Labelling of Cell-surface Proteins using CyDye DIGE Fluor Minimal Dyes at JoVE.com

Selective Labelling of Cell-surface Proteins using CyDye DIGE Fluor Minimal Dyes

一个简单的和具体的方法是没有分馏步骤细胞表面蛋白的荧光标记和增强检测证明。差分在细胞表面的蛋白质丰度使用的二维（2 - D）电泳和Ettan™DIGE技术进行了分析。

使用CyDye DIGE Fluor公司最小染料的细胞表面蛋白的选择性标签

Surface  proteins are central to the cell's ability to react to its environment and to interact with neighboring cells. They are known to be inducers of ...

selective-labelling-cell-surface-proteins-using-cydye-dige-fluor

Research

JoVE Journal

Biology

15.1K 次观看.  GE Healthcare Bio-Sciences AB. 一个简单的和具体的方法是没有分馏步骤细胞表面蛋白的荧光标记和增强检测证明。差分在细胞表面的蛋白质丰度使用的二维（2 - D）电泳和Ettan™DIGE技术进行了分析。

视频: Selective Labelling of Cell-surface Proteins using CyDye DIGE Fluor Minimal Dyes

Optical Recording of Electrical Activity in Guinea-pig Enteric Networks using Voltage-sensitive Dyes

The enteric nervous system (ENS) is a self-contained network with identified functions, capable of performing complex behaviors in isolation. Its neurons (10 to 25 &mu;m in diameter) are arranged in plexuses that are confined to distinct planes of the gut wall 1; the myenteric plexus can be found between the longitudinal and circular muscle layers, and the submucous plexus between the circular muscle layer and the mucosa. Since the effector systems for these plexuses (transporting epithelium, endocrine cells, immune elements, blood vessels and smooth muscle) are also contained within the gut wall, semi-intact preparations can be dissected that preserve individual components of different reflex pathways. The behavior of the effector systems is controlled by the submucous and myenteric plexuses acting in concert. Therefore, detailed knowledge of synaptic interactions within and between ganglia, and of communication between the plexuses, is essential for understanding normal gastrointestinal function. The ENS, as an intact nervous system, is a unique experimental model in which one can correlate molecular and cellular events with the electrical behavior of the neuronal network and its physiological outputs. Because of the quasi-two-dimensional organization of its plexuses, the ENS is particularly well suited for the study of neural networks using multiple site optical recording techniques that employ voltage-sensitive dyes 2,7,8,9. We will illustrate here the use of a relatively new naphthylstyryl-pyridinium dye (di-4-ANEPPDHQ) 3 that offers multiple advantages over its predecessors, including very low phototoxicity, slow rate of internalization, and remarkable chemical stability. When used in conjunction with a camera that permits sub-millisecond time resolution, this dye allows us to monitor the electrical activity of all the neurons in the field of view with a maximal spatial resolution of ~ 2.5 &mu;m at 100X magnification. At lower magnification (10X or 20X), the sacrifice of single-cell resolution is compensated by a gain in perspective, revealing the intricacies of the inter-ganglionic circuitry.

This protocol illustrates how voltage-sensitive dyes enable optical recording of electrical activity from intact neural networks such as the plexuses of the guinea-pig enteric nervous system, with an adjustable resolution that ranges from single-cells to multi-ganglionic circuitry.

在豚鼠肠道网络，利用电压敏感染料光学记录的电活动

The enteric nervous system (ENS) is a self-contained network with identified functions, capable of performing complex behaviors in isolation. Its neurons ...

科研

生物学

Avidity-based Extracellular Interaction Screening (AVEXIS) for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

Extracellular protein:protein interactions between secreted or membrane-tethered proteins are critical for both initiating intercellular communication and ensuring cohesion within multicellular organisms. Proteins predicted to form extracellular interactions are encoded by approximately a quarter of human genes1, but despite their importance and abundance, the majority of these proteins have no documented binding partner. Primarily, this is due to their biochemical intractability: membrane-embedded proteins are difficult to solubilise in their native conformation and contain structurally-important posttranslational modifications. Also, the interaction affinities between receptor proteins are often characterised by extremely low interaction strengths (half-lives &lt; 1 second) precluding their detection with many commonly-used high throughput methods2. 
Here, we describe an assay, AVEXIS (AVidity-based EXtracellular Interaction Screen) that overcomes these technical challenges enabling the detection of very weak protein interactions (t1/2 &le; 0.1 sec) with a low false positive rate3. The assay is usually implemented in a high throughput format to enable the systematic screening of many thousands of interactions in a convenient microtitre plate format (Fig. 1). It relies on the production of soluble recombinant protein libraries that contain the ectodomain fragments of cell surface receptors or secreted proteins within which to screen for interactions; therefore, this approach is suitable for type I, type II, GPI-linked cell surface receptors and secreted proteins but not for multipass membrane proteins such as ion channels or transporters.
The recombinant protein libraries are produced using a convenient and high-level mammalian expression system4, to ensure that important posttranslational modifications such as glycosylation and disulphide bonds are added. Expressed recombinant proteins are secreted into the medium and produced in two forms: a biotinylated bait which can be captured on a streptavidin-coated solid phase suitable for screening, and a pentamerised enzyme-tagged (&beta;-lactamase) prey. The bait and prey proteins are presented to each other in a binary fashion to detect direct interactions between them, similar to a conventional ELISA (Fig. 1). The pentamerisation of the proteins in the prey is achieved through a peptide sequence from the cartilage oligomeric matrix protein (COMP) and increases the local concentration of the ectodomains thereby providing significant avidity gains to enable even very transient interactions to be detected. By normalising the activities of both the bait and prey to predetermined levels prior to screening, we have shown that interactions having monomeric half-lives of 0.1 sec can be detected with low false positive rates3.

Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions

AVEXIS is a high throughput protein interaction assay developed to systematically screen for novel extracellular receptor-ligand pairs involved in cellular recognition processes. It is specifically designed to detect transient protein interactions that are difficult to identify using other high throughput approaches.

基于亲和力，外的相互作用筛选（AVEXIS）外低亲和力受体 - 配体相互作用的可扩展检测

Extracellular protein:protein interactions between secreted or membrane-tethered proteins are critical for both initiating intercellular communication and ...

Optimized Staining and Proliferation Modeling Methods for Cell Division Monitoring using Cell Tracking Dyes

Fluorescent cell tracking dyes, in combination with flow and image cytometry, are powerful tools with which to study the interactions and fates of different cell types in vitro and in vivo.1-5 Although there are literally thousands of publications using such dyes, some of the most commonly encountered cell tracking applications include monitoring of:
<ol>
	<li>stem and progenitor cell quiescence, proliferation and/or differentiation6-8</li>
	<li>antigen-driven membrane transfer9 and/or precursor cell proliferation3,4,10-18 and</li>
	<li>immune regulatory and effector cell function1,18-21.</li>
</ol>
Commercially available cell tracking dyes vary widely in their chemistries and fluorescence properties but the great majority fall into one of two classes based on their mechanism of cell labeling. "Membrane dyes", typified by PKH26, are highly lipophilic dyes that partition stably but non-covalently into cell membranes1,2,11. "Protein dyes", typified by CFSE, are amino-reactive dyes that form stable covalent bonds with cell proteins4,16,18. Each class has its own advantages and limitations. The key to their successful use, particularly in multicolor studies where multiple dyes are used to track different cell types, is therefore to understand the critical issues enabling optimal use of each class2-4,16,18,24.
The protocols included here highlight three common causes of poor or variable results when using cell-tracking dyes. These are:
<ol>
	<li>Failure to achieve bright, uniform, reproducible labeling. This is a necessary starting point for any cell tracking study but requires attention to different variables when using membrane dyes than when using protein dyes or equilibrium binding reagents such as antibodies.</li>
	<li>Suboptimal fluorochrome combinations and/or failure to include critical compensation controls. Tracking dye fluorescence is typically 102 - 103 times brighter than antibody fluorescence. It is therefore essential to verify that the presence of tracking dye does not compromise the ability to detect other probes being used.</li>
	<li>Failure to obtain a good fit with peak modeling software. Such software allows quantitative comparison of proliferative responses across different populations or stimuli based on precursor frequency or other metrics. Obtaining a good fit, however, requires exclusion of dead/dying cells that can distort dye dilution profiles and matching of the assumptions underlying the model with characteristics of the observed dye dilution profile.</li>
</ol>
Examples given here illustrate how these variables can affect results when using membrane and/or protein dyes to monitor cell proliferation.

Successful use of cell tracking dyes to monitor immune cell function and proliferation involves several critical steps. We describe methods for: 1) obtaining bright, uniform, reproducible label-ing with membrane dyes; 2) selecting fluorochromes and data acquisition conditions; and 3) choosing a model to quantify cell proliferation based on dye dilution.

优化细胞分裂监测细胞示踪染料的染色和扩散建模方法

Fluorescent cell tracking dyes, in combination with flow and image cytometry, are powerful tools with which to study the interactions and fates of ...

Selective Capture of 5-hydroxymethylcytosine from Genomic DNA

5-methylcytosine (5-mC) constitutes ~2-8% of the total cytosines in human genomic DNA and impacts a broad range of biological functions, including gene expression, maintenance of genome integrity, parental imprinting, X-chromosome inactivation, regulation of development, aging, and cancer1. Recently, the presence of an oxidized 5-mC, 5-hydroxymethylcytosine (5-hmC), was discovered in mammalian cells, in particular in embryonic stem (ES) cells and neuronal cells2-4. 5-hmC is generated by oxidation of 5-mC catalyzed by TET family iron (II)/&alpha;-ketoglutarate-dependent dioxygenases2, 3. 5-hmC is proposed to be involved in the maintenance of embryonic stem (mES) cell, normal hematopoiesis and malignancies, and zygote development2, 5-10. To better understand the function of 5-hmC, a reliable and straightforward sequencing system is essential. Traditional bisulfite sequencing cannot distinguish 5-hmC from 5-mC11. To unravel the biology of 5-hmC, we have developed a highly efficient and selective chemical approach to label and capture 5-hmC, taking advantage of a bacteriophage enzyme that adds a glucose moiety to 5-hmC specifically12.
Here we describe a straightforward two-step procedure for selective chemical labeling of 5-hmC. In the first labeling step, 5-hmC in genomic DNA is labeled with a 6-azide-glucose catalyzed by &beta;-GT, a glucosyltransferase from T4 bacteriophage, in a way that transfers the 6-azide-glucose to 5-hmC from the modified cofactor, UDP-6-N3-Glc (6-N3UDPG). In the second step, biotinylation, a disulfide biotin linker is attached to the azide group by click chemistry. Both steps are highly specific and efficient, leading to complete labeling regardless of the abundance of 5-hmC in genomic regions and giving extremely low background. Following biotinylation of 5-hmC, the 5-hmC-containing DNA fragments are then selectively captured using streptavidin beads in a density-independent manner. The resulting 5-hmC-enriched DNA fragments could be used for downstream analyses, including next-generation sequencing.
Our selective labeling and capture protocol confers high sensitivity, applicable to any source of genomic DNA with variable/diverse 5-hmC abundances. Although the main purpose of this protocol is its downstream application (i.e., next-generation sequencing to map out the 5-hmC distribution in genome), it is compatible with single-molecule, real-time SMRT (DNA) sequencing, which is capable of delivering single-base resolution sequencing of 5-hmC.

Described is a two-step labeling process using &beta;-glucosyltransferase (&beta;-GT) to transfer an azide-glucose to 5-hmC, followed by click chemistry to transfer a biotin linker for easy and density-independent enrichment. This efficient and specific labeling method enables enrichment of 5-hmC with extremely low background and high-throughput epigenomic mapping via next-generation sequencing.

从基因组DNA选择性捕获的5  - 羟甲基

5-methylcytosine (5-mC) constitutes ~2-8% of the total cytosines in human genomic DNA and impacts a broad range of biological functions, including gene ...

Glycopeptide Capture for Cell Surface Proteomics

Cell surface proteins, including extracellular matrix proteins, participate in all major cellular processes and functions, such as growth, differentiation, and proliferation. A comprehensive characterization of these proteins provides rich information for biomarker discovery, cell-type identification, and drug-target selection, as well as helping to advance our understanding of cellular biology and physiology. Surface proteins, however, pose significant analytical challenges, because of their inherently low abundance, high hydrophobicity, and heavy post-translational modifications. Taking advantage of the prevalent glycosylation on surface proteins, we introduce here a high-throughput glycopeptide-capture approach that integrates the advantages of several existing N-glycoproteomics means. Our method can enrich the glycopeptides derived from surface proteins and remove their glycans for facile proteomics using LC-MS. The resolved N-glycoproteome comprises the information of protein identity and quantity as well as their sites of glycosylation. This method has been applied to a series of studies in areas including cancer, stem cells, and drug toxicity. The limitation of the method lies in the low abundance of surface membrane proteins, such that a relatively large quantity of samples is required for this analysis compared to studies centered on cytosolic proteins.

Cell surface proteins are biologically important and widely glycosylated. We introduce here a glycopeptide-capture approach to solubilize, enrich, and deglycosylate these proteins for facile LC-MS based proteomic analyses.

糖肽捕获的细胞表面蛋白组学

Cell surface proteins, including extracellular matrix proteins, participate in all major cellular processes and functions, such as growth, ...

Measurement of Extracellular Ion Fluxes Using the Ion-selective Self-referencing Microelectrode Technique

Cells from animals, plants and single cells are enclosed by a barrier called the cell membrane that separates the cytoplasm from the outside. Cell layers such as epithelia also form a barrier that separates the inside from the outside or different compartments of multicellular organisms. A key feature of these barriers is the differential distribution of ions across cell membranes or cell layers. Two properties allow this distribution: 1) membranes and epithelia display selective permeability to specific ions; 2) ions are transported through pumps across cell membranes and cell layers. These properties play crucial roles in maintaining tissue physiology and act as signaling cues after damage, during repair, or under pathological condition. The ion-selective self-referencing microelectrode allows measurements of specific fluxes of ions such as calcium, potassium or sodium at single cell and tissue levels. The microelectrode contains an ionophore cocktail which is selectively permeable to a specific ion. The internal filling solution contains a set concentration of the ion of interest. The electric potential of the microelectrode is determined by the outside concentration of the ion. As the ion concentration varies, the potential of the microelectrode changes as a function of the log of the ion activity. When moved back and forth near a source or sink of the ion (i.e. in a concentration gradient due to ion flux) the microelectrode potential fluctuates at an amplitude proportional to the ion flux/gradient. The amplifier amplifies the microelectrode signal and the output is recorded on computer. The ion flux can then be calculated by Fick&#8217;s law of diffusion using the electrode potential fluctuation, the excursion of microelectrode, and other parameters such as the specific ion mobility. In this paper, we describe in detail the methodology to measure extracellular ion fluxes using the ion-selective self-referencing microelectrode and present some representative results.

Transporters in cell membranes allow differential segregation of ions across cell membranes or cell layers and play crucial roles during tissue physiology, repair and pathology. We describe the ion-selective self-referencing microelectrode that allows the measurement of specific ion fluxes at single cells and tissues in vivo.

细胞外离子流的使用离子选择性自引用的微电极技术测量

Cells from animals, plants and single cells are enclosed by a barrier called the cell membrane that separates the cytoplasm from the outside. Cell layers ...

Synthesis of Wavelength-shifting DNA Hybridization Probes by Using Photostable Cyanine Dyes

In this protocol, we demonstrate a method for the synthesis of 2&#39;-alkyne modified deoxyribonucleic acid (DNA) strands by automated solid phase synthesis using standard phosphoramidite chemistry. Oligonucleotides are post-synthetically labeled by two new photostable cyanine dyes using copper-catalyzed click-chemistry. The synthesis of both donor and acceptor dye is described and is performed in three consecutive steps. With the DNA as the surrounding architecture, these two dyes undergo an energy transfer when they are brought into close proximity by hybridization. Therefore, annealing of two single stranded DNA strands is visualized by a change of fluorescence color. This color change is characterized by fluorescence spectroscopy but can also be directly observed by using a handheld ultraviolet (UV) lamp. The concept of a dual fluorescence color readout makes these oligonucleotide probes excellent tools for molecular imaging especially when the described photostable dyes are used. Thereby, photobleaching of the imaging probes is prevented, and biological processes can be observed in real time for a longer time period.

Photostable cyanine dyes are attached to oligonucleotides to monitor hybridization by energy transfer.

通过使用光稳定菁染料波长移的DNA杂交探针的合成

In this protocol, we demonstrate a method for the synthesis of 2&#39;-alkyne modified deoxyribonucleic acid (DNA) strands by automated solid phase ...

Determination of the Relative Cell Surface and Total Expression of Recombinant Ion Channels Using Flow Cytometry

Inherited or de novo mutations in cation-selective channels may lead to sudden cardiac death. Alteration in the plasma membrane trafficking of these multi-spanning transmembrane proteins, with or without change in channel gating, is often postulated to contribute significantly in this process. It has thus become critical to develop a method to quantify the change of the relative cell surface expression of cardiac ion channels on a large scale. Herein, a detailed protocol is provided to determine the relative total and cell surface expression of cardiac L-type calcium channels CaV1.2 and membrane-associated subunits in tsA-201 cells using two-color fluorescent cytometry assays. Compared with other microscopy-based or immunoblotting-based qualitative methods, flow cytometry experiments are fast, reproducible, and large-volume assays that deliver quantifiable end-points on large samples of live cells (ranging from 104 to 106 cells) with similar cellular characteristics in a single flow. Constructs were designed to constitutively express mCherry at the intracellular C-terminus (thus allowing a rapid assessment of the total protein expression) and express an extracellular-facing hemagglutinin (HA) epitope to estimate the cell surface expression of membrane proteins using an anti-HA fluorescence conjugated antibody. To avoid false negative, experiments were also conducted in permeabilized cells to confirm the accessibility and proper expression of the HA epitope. The detailed procedure provides: (1) design of tagged DNA (deoxyribonucleic acid) constructs, (2) lipid-mediated transfection of constructs in tsA-201 cells, (3) culture, harvest, and staining of non-permeabilized and permeabilized cells, and (4) acquisition and analysis of fluorescent signals. Additionally, the basic principles of flow cytometry are explained and the experimental design, including the choice of fluorophores, titration of the HA antibody and control experiments, is thoroughly discussed. This specific approach offers objective relative quantification of the total and cell surface expression of ion channels that can be extended to study ion pumps and plasma membrane transporters.

Inherited cardiac arrhythmias are often caused by mutations that alter the surface delivery of one or more ion channels. Here, we adapt flow cytometry assays to provide a quantification of the relative total and cell surface protein expression of recombinant ion channels expressed in tsA-201 cells.

重组离子通道的相对细胞表面表达的总用流式细胞仪测定

Inherited or de novo mutations in cation-selective channels may lead to sudden cardiac death. Alteration in the plasma membrane trafficking of these ...

Analyzing Cell Surface Adhesion Remodeling in Response to Mechanical Tension Using Magnetic Beads

Mechanosensitive cell surface adhesion complexes allow cells to sense the mechanical properties of their surroundings. Recent studies have identified both force-sensing molecules at adhesion sites, and force-dependent transcription factors that regulate lineage-specific gene expression and drive phenotypic outputs. However, the signaling networks converting mechanical tension into biochemical pathways have remained elusive. To explore the signaling pathways engaged upon mechanical tension applied to cell surface receptor, superparamagnetic microbeads can be used. Here we present a protocol for using magnetic beads to apply forces to cell surface adhesion proteins. Using this approach, it is possible to investigate not only force-dependent cytoplasmic signaling pathways by various biochemical approaches, but also adhesion remodeling by magnetic isolation of adhesion complexes attached to the ligand-coated beads. This protocol includes the preparation of ligand-coated superparamagnetic beads, and the application of define tensile forces followed by biochemical analyses. Additionally, we provide a representative sample of data demonstrating that tension applied to integrin-based adhesion triggers adhesion remodeling and alters protein tyrosine phosphorylation.

Cell surface adhesions are central in mechanotransduction, as they transmit mechanical tension and initiate the signaling pathways involved in tissue homeostasis and development. Here, we present a protocol for dissecting the biochemical pathways that are activated in response to tension, using ligand-coated magnetic microbeads and force application to adhesion receptors.

分析细胞表面粘附重塑回应机械张力使用磁珠

Mechanosensitive cell surface adhesion complexes allow cells to sense the mechanical properties of their surroundings. Recent studies have identified both ...

Application of Membrane and Cell Wall Selective Fluorescent Dyes for Live-Cell Imaging of Filamentous Fungi

The application of membrane and cell wall selective fluorescent dyes for live-cell imaging analyses of organelle dynamics in fungal cells started two decades ago and since then continues to contribute greatly to our understanding of the filamentous fungal lifestyle. This paper provides a practical guide for the utilization of the two membrane dyes FM 1-43 and FM 4-64 and the four cell wall stains Calcofluor White M2R, Solophenyl Flavine 7GFE 500, Pontamine Fast Scarlet 48 and Congo Red. The focus is on their low-dose application to ascertain artefact-free staining, their co-imaging properties, and their quantitative evaluation. The presented methods are applicable to all filamentous fungal samples that can be prepared in the described ways. The fundamental staining approaches can serve as starting points for adaptations to species that might require different cultivation conditions. First, biophysical and biochemical properties are reviewed as their understanding is essential for using these dyes as truly vital fluorescent stains. Secondly, step-by-step protocols are presented that detail the preparation of various fungal sample types for fluorescent live-cell imaging. Finally, example experiments illustrate different approaches to: (1) identify defects in the spatio-temporal organization of endocytosis in genetic mutants, (2) comparatively characterize shared and distinct co-localization of GFP-labeled target proteins in the endocytic pathway, (3) identify morphogenetic cell wall defects in a genetic mutant, and (4) monitor cell wall biogenesis in real time.

Vital fluorescent dyes are essential tools for live-cell imaging analyses in modern fungal cell biology. This paper details the application of established and lesser-known fluorescent dyes for tracking plasma membrane dynamics, endo-/exocytosis and cell wall morphogenesis in filamentous fungi.

膜和细胞壁选择性荧光染料在丝状真菌活细胞成像中的应用

The application of membrane and cell wall selective fluorescent dyes for live-cell imaging analyses of organelle dynamics in fungal cells started two ...