| Literature DB >> 25416956 |
Thomas Rolland1, Murat Taşan2, Benoit Charloteaux1, Samuel J Pevzner3, Quan Zhong4, Nidhi Sahni1, Song Yi1, Irma Lemmens5, Celia Fontanillo6, Roberto Mosca7, Atanas Kamburov1, Susan D Ghiassian8, Xinping Yang1, Lila Ghamsari1, Dawit Balcha1, Bridget E Begg1, Pascal Braun1, Marc Brehme1, Martin P Broly1, Anne-Ruxandra Carvunis1, Dan Convery-Zupan1, Roser Corominas9, Jasmin Coulombe-Huntington10, Elizabeth Dann1, Matija Dreze1, Amélie Dricot1, Changyu Fan1, Eric Franzosa10, Fana Gebreab1, Bryan J Gutierrez1, Madeleine F Hardy1, Mike Jin1, Shuli Kang9, Ruth Kiros1, Guan Ning Lin9, Katja Luck1, Andrew MacWilliams1, Jörg Menche8, Ryan R Murray1, Alexandre Palagi1, Matthew M Poulin1, Xavier Rambout11, John Rasla1, Patrick Reichert1, Viviana Romero1, Elien Ruyssinck5, Julie M Sahalie1, Annemarie Scholz1, Akash A Shah1, Amitabh Sharma8, Yun Shen1, Kerstin Spirohn1, Stanley Tam1, Alexander O Tejeda1, Shelly A Trigg1, Jean-Claude Twizere11, Kerwin Vega1, Jennifer Walsh1, Michael E Cusick1, Yu Xia10, Albert-László Barabási12, Lilia M Iakoucheva9, Patrick Aloy13, Javier De Las Rivas6, Jan Tavernier5, Michael A Calderwood1, David E Hill1, Tong Hao1, Frederick P Roth14, Marc Vidal15.
Abstract
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.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25416956 PMCID: PMC4266588 DOI: 10.1016/j.cell.2014.10.050
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582