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A Proteome-Scale Map of the Human Interactome Network

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

Cell, 2014-11, Vol.159 (5), p.1212-1226 [Periódico revisado por pares]

United States: Elsevier Inc

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Título:
A Proteome-Scale Map of the Human Interactome Network
Autor: Rolland, Thomas ; Taşan, Murat ; Charloteaux, Benoit ; Pevzner, Samuel J. ; Zhong, Quan ; Sahni, Nidhi ; Yi, Song ; Lemmens, Irma ; Fontanillo, Celia ; Mosca, Roberto ; Kamburov, Atanas ; Ghiassian, Susan D. ; Yang, Xinping ; Ghamsari, Lila ; Balcha, Dawit ; Begg, Bridget E. ; Braun, Pascal ; Brehme, Marc ; Broly, Martin P. ; Carvunis, Anne-Ruxandra ; Convery-Zupan, Dan ; Corominas, Roser ; Coulombe-Huntington, Jasmin ; Dann, Elizabeth ; Dreze, Matija ; Dricot, Amélie ; Fan, Changyu ; Franzosa, Eric ; Gebreab, Fana ; Gutierrez, Bryan J. ; Hardy, Madeleine F. ; Jin, Mike ; Kang, Shuli ; Kiros, Ruth ; Lin, Guan Ning ; Luck, Katja ; MacWilliams, Andrew ; Menche, Jörg ; Murray, Ryan R. ; Palagi, Alexandre ; Poulin, Matthew M. ; Rambout, Xavier ; Rasla, John ; Reichert, Patrick ; Romero, Viviana ; Ruyssinck, Elien ; Sahalie, Julie M. ; Scholz, Annemarie ; Shah, Akash A. ; Sharma, Amitabh ; Shen, Yun ; Spirohn, Kerstin ; Tam, Stanley ; Tejeda, Alexander O. ; Wanamaker, Shelly A. ; Twizere, Jean-Claude ; Vega, Kerwin ; Walsh, Jennifer ; Cusick, Michael E. ; Xia, Yu ; Barabási, Albert-László ; Iakoucheva, Lilia M. ; Aloy, Patrick ; De Las Rivas, Javier ; Tavernier, Jan ; Calderwood, Michael A. ; Hill, David E. ; Hao, Tong ; Roth, Frederick P. ; Vidal, Marc
Assuntos: Animals ; Databases, Protein ; Genetics & genetic processes ; Genome-Wide Association Study ; Génétique & processus génétiques ; Humans ; Life sciences ; Mice ; Neoplasms - metabolism ; Protein Interaction Maps ; Proteome - metabolism ; Sciences du vivant
É parte de: Cell, 2014-11, Vol.159 (5), p.1212-1226
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Undefined-3
scopus-id:2-s2.0-84911474471
Co-senior author
Co-first author
Descrição: 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. [Display omitted] •Network map of 14,000 high-quality binary human protein-protein interactions•Uniform coverage of the interactome space overlooked by other approaches•This map allows detection of functional relationships beyond previous knowledge•Unbiased network-based evidence for an expanded cancer landscape A second-generation systematic binary map provides proteome-wide coverage of the human interactome network, expanding connections among human disease genes beyond previous knowledge.
Editor: United States: Elsevier Inc
Idioma: Inglês

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A Proteome-Scale Map of the Human Interactome Network

United States: Elsevier Inc

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