Mapping the Human Proteome

F. Pontén
{"title":"Mapping the Human Proteome","authors":"F. Pontén","doi":"10.4172/JPB.S1000040","DOIUrl":null,"url":null,"abstract":"Yeast two-hybrid analysis has been applied for detecting the interactions in the entire proteome of several model organisms. Stelzl et al. have now applied an automated yeast two-hybrid interaction mating assay to test more than 5500 human proteins (excluding those with transmembrane domains). The analysis yielded 3269 interactions, which were then scored using a confidence rating system based on six criteria, including presence of the orthologous interactions in model organism data sets, the occurrence of interactions in loops containing three or four proteins (believed to be a common property of biological interaction networks), and annotation of the interacting proteins with Gene Ontology (GO) terms for localization and cellular function. Of the 3269 interactions, 911 met three or more of the criteria and were classified as high confidence. The network was also compared with the regulatory pathways in the Kyoto Encyclopedia of Genes and Genomes (KEGG), and 66 proteins were mapped into pathways based on their position as bridges linking two or more proteins within a pathway. Two of these, ANP32A and CRMP1, were mapped into the Wnt pathway and were verified using a reporter gene assay in cells transfected to overexpress the Wnt regulator Dvl, which stimulates Wnt reporter gene expression. Both ANP32A and CRPM1 inhibited Dvl-stimulated reporter gene expression, which suggests that these proteins are novel inhibitory regulators of the Wnt pathway. Thus, in addition to allowing analysis of the network properties of a human proteome interaction network, this large-scale analysis of the human proteome also revealed novel regulators of cell signaling. U. Stelzl, U. Worm, M. Lalowski, C. Haenig, F. H. Brembeck, H. Goehler, M. Stroedicke, M. Zenkner, A. Schoenherr, S. Koeppen, J. Timm, S. Mintzlaff, C. Abraham, N. Bock, S. Kietzmann, A. Goedde, E. Toksöz, A. Droege, S. Krobitsch, B. Korn, W. Birchmeier, H. Lehrach, E. E. Wanker, A human protein-protein interaction network: A resource for annotating the proteome. Cell 122, 957-968 (2005). [PubMed]","PeriodicalId":21619,"journal":{"name":"Science's STKE","volume":"11 1","pages":"tw356 - tw356"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science's STKE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/JPB.S1000040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Yeast two-hybrid analysis has been applied for detecting the interactions in the entire proteome of several model organisms. Stelzl et al. have now applied an automated yeast two-hybrid interaction mating assay to test more than 5500 human proteins (excluding those with transmembrane domains). The analysis yielded 3269 interactions, which were then scored using a confidence rating system based on six criteria, including presence of the orthologous interactions in model organism data sets, the occurrence of interactions in loops containing three or four proteins (believed to be a common property of biological interaction networks), and annotation of the interacting proteins with Gene Ontology (GO) terms for localization and cellular function. Of the 3269 interactions, 911 met three or more of the criteria and were classified as high confidence. The network was also compared with the regulatory pathways in the Kyoto Encyclopedia of Genes and Genomes (KEGG), and 66 proteins were mapped into pathways based on their position as bridges linking two or more proteins within a pathway. Two of these, ANP32A and CRMP1, were mapped into the Wnt pathway and were verified using a reporter gene assay in cells transfected to overexpress the Wnt regulator Dvl, which stimulates Wnt reporter gene expression. Both ANP32A and CRPM1 inhibited Dvl-stimulated reporter gene expression, which suggests that these proteins are novel inhibitory regulators of the Wnt pathway. Thus, in addition to allowing analysis of the network properties of a human proteome interaction network, this large-scale analysis of the human proteome also revealed novel regulators of cell signaling. U. Stelzl, U. Worm, M. Lalowski, C. Haenig, F. H. Brembeck, H. Goehler, M. Stroedicke, M. Zenkner, A. Schoenherr, S. Koeppen, J. Timm, S. Mintzlaff, C. Abraham, N. Bock, S. Kietzmann, A. Goedde, E. Toksöz, A. Droege, S. Krobitsch, B. Korn, W. Birchmeier, H. Lehrach, E. E. Wanker, A human protein-protein interaction network: A resource for annotating the proteome. Cell 122, 957-968 (2005). [PubMed]
绘制人类蛋白质组图
酵母双杂交分析已被用于检测几种模式生物整个蛋白质组的相互作用。Stelzl等人现在已经应用一种自动酵母双杂交相互作用交配试验来测试5500多种人类蛋白质(不包括那些跨膜结构域的蛋白质)。该分析产生了3269种相互作用,然后使用基于六个标准的置信度评级系统对其进行评分,包括模型生物数据集中存在的同源相互作用,在包含三到四种蛋白质的环中发生的相互作用(被认为是生物相互作用网络的共同特性),以及相互作用蛋白质与基因本体(GO)术语的注释定位和细胞功能。在3269次互动中,911次符合三个或更多的标准,被归类为高置信度。该网络还与京都基因与基因组百科全书(KEGG)中的调控途径进行了比较,并根据它们在途径中连接两个或多个蛋白质的桥梁位置将66种蛋白质映射到途径中。其中两个,ANP32A和CRMP1,被定位到Wnt通路中,并在转染过表达Wnt调节因子Dvl的细胞中使用报告基因试验进行验证,后者刺激Wnt报告基因的表达。ANP32A和CRPM1均抑制dvl刺激的报告基因表达,这表明这些蛋白是Wnt通路的新型抑制调节因子。因此,除了允许分析人类蛋白质组相互作用网络的网络特性外,这种对人类蛋白质组的大规模分析还揭示了细胞信号传导的新调节因子。U. Stelzl, U. Worm, M. Lalowski, C. Haenig, F. H. Brembeck, H. Goehler, M. Stroedicke, M. Zenkner, A. Schoenherr, S. Koeppen, J. Timm, S. Mintzlaff, C. Abraham, N. Bock, S. Kietzmann, A. Goedde, E. Toksöz, A. Droege, S. Krobitsch, B. Korn, W. Birchmeier, H. Lehrach, E. E. Wanker,蛋白质组注释资源。Cell 122, 957-968(2005)。(PubMed)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信