Large-scale mapping of human protein-protein interactions by mass spectrometry

被引:760
作者
Ewing, Rob M.
Chu, Peter
Elisma, Fred
Li, Hongyan
Taylor, Paul
Climie, Shane
McBroom-Cerajewski, Linda
Robinson, Mark D.
O'Connor, Liam
Li, Michael
Taylor, Rod
Dharsee, Moyez
Ho, Yuen
Heilbut, Adrian
Moore, Lynda
Zhang, Shudong
Ornatsky, Olga
Bukhman, Yury V.
Ethier, Martin
Sheng, Yinglun
Vasilescu, Julian
Abu-Farha, Mohamed
Lambert, Jean-Philippe
Duewel, Henry S.
Stewart, Ian I.
Kuehl, Bonnie
Hogue, Kelly
Colwill, Karen
Gladwish, Katharine
Muskat, Brenda
Kinach, Robert
Adams, Sally-Lin
Moran, Michael F.
Morin, Gregg B.
Topaloglou, Thodoros
Figeys, Daniel
机构
[1] Univ Ottawa, Ottawa Inst Syst Biol, BMI, Fac Med, Ottawa, ON K1H 8M5, Canada
[2] Transit Therapeut, Toronto, ON, Canada
[3] MaRS Discovery District, Infochrom, Toronto, ON, Canada
[4] Univ Toronto, Informat Engn Ctr, Dept Mech & Ind Engn, Toronto, ON, Canada
关键词
human interactome; IP-HTMS; protein-protein interaction;
D O I
10.1038/msb4100134
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Mapping protein-protein interactions is an invaluable tool for understanding protein function. Here, we report the first large-scale study of protein-protein interactions in human cells using a mass spectrometry-based approach. The study maps protein interactions for 338 bait proteins that were selected based on known or suspected disease and functional associations. Large-scale immunoprecipitation of Flag-tagged versions of these proteins followed by LC-ESI-MS/MS analysis resulted in the identification of 24 540 potential protein interactions. False positives and redundant hits were filtered out using empirical criteria and a calculated interaction confidence score, producing a data set of 6463 interactions between 2235 distinct proteins. This data set was further cross-validated using previously published and predicted human protein interactions. In-depth mining of the data set shows that it represents a valuable source of novel protein-protein interactions with relevance to human diseases. In addition, via our preliminary analysis, we report many novel protein interactions and pathway associations. © 2007 EMBO and Nature Publishing Group All rights reserved.
引用
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页数:17
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