相互作用体
生物
互连性
计算生物学
蛋白质组
人类遗传学
蛋白质组学
基因组
人类蛋白质组计划
遗传学
基因
计算机科学
人工智能
作者
Thomas Rolland,Murat Taşan,Benoît Charloteaux,Samuel Pevzner,Quan Zhong,Nidhi Sahni,S. Stephen Yi,Irma Lemmens,Celia Fontanillo,Roberto Mosca,Atanas Kamburov,Susan Dina Ghiassian,Xinping Yang,Lila Ghamsari,Dawit Balcha,Bridget E. Begg,Pascal Falter‐Braun,Marc Brehme,Martin Broly,Anne‐Ruxandra Carvunis
出处
期刊:Cell
[Cell Press]
日期:2014-11-01
卷期号:159 (5): 1212-1226
被引量:1437
标识
DOI:10.1016/j.cell.2014.10.050
摘要
Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand genotype-phenotype relationships. Here, we describe a systematic map of ?14,000 high-quality human binary protein-protein interactions. At equal quality, this map is ?30% larger than what is available from small-scale studies published in the literature in the last few decades. While currently available information is highly biased and only covers a relatively small portion of the proteome, our systematic map appears strikingly more homogeneous, revealing a "broader" human interactome network than currently appreciated. The map also uncovers significant interconnectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high-quality interactome models will help "connect the dots" of the genomic revolution.
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