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A proteome-scale map of the human interactome network

  • Thomas Rolland
  • , Murat Taşan
  • , Benoit Charloteaux
  • , Samuel J. Pevzner
  • , Quan Zhong
  • , Nidhi Sahni
  • , Song Yi
  • , Irma Lemmens
  • , Celia Fontanillo
  • , Roberto Mosca
  • , Atanas Kamburov
  • , Susan D. Ghiassian
  • , Xinping Yang
  • , Lila Ghamsari
  • , Dawit Balcha
  • , Bridget E. Begg
  • , Pascal Braun
  • , Marc Brehme
  • , Martin P. Broly
  • , Anne Ruxandra Carvunis
  • Dan Convery-Zupan, Roser Corominas, Jasmin Coulombe-Huntington, Elizabeth Dann, Matija Dreze, Amélie Dricot, Changyu Fan, Eric Franzosa, Fana Gebreab, Bryan J. Gutierrez, Madeleine F. Hardy, Mike Jin, Shuli Kang, Ruth Kiros, Guan Ning Lin, Katja Luck, Andrew Macwilliams, Jörg Menche, Ryan R. Murray, Alexandre Palagi, Matthew M. Poulin, Xavier Rambout, John Rasla, Patrick Reichert, Viviana Romero, Elien Ruyssinck, Julie M. Sahalie, Annemarie Scholz, Akash A. Shah, Amitabh Sharma, Yun Shen, Kerstin Spirohn, Stanley Tam, Alexander O. Tejeda, Shelly A. Wanamaker, Jean Claude Twizere, Kerwin Vega, Jennifer Walsh, Michael E. Cusick, Yu Xia, Albert László Barabási, Lilia M. Iakoucheva, Patrick Aloy, Javier De Las Rivas, Jan Tavernier, Michael A. Calderwood, David E. Hill, Tong Hao, Frederick P. Roth*, Marc Vidal
*Corresponding author for this work
  • Dana-Farber Cancer Institute
  • Harvard University
  • University of Toronto
  • Boston University
  • Wright State University
  • Flanders Institute for Biotechnology
  • Universidad de Salamanca
  • Institute for Research in Biomedicine
  • Northeastern University
  • University of California at San Diego
  • McGill University
  • University of Liege
  • ICREA
  • Canadian Institute for Advanced Research

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Pages (from-to)1212-1226
Number of pages15
JournalCell
Volume159
Issue number5
DOIs
StatePublished - 20 Nov 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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