Advanced search
1 file | 2.24 MB Add to list

A proteome-scale map of the human interactome network

(2014) CELL. 159(5). p.1212-1226
Author
Organization
Project
Ghent researchers on unfolded proteins in inflammatory disease (GROUP-ID)
Abstract
Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand geno-type- phenotype relationships. Here, we describe a systematic map of similar to 14,000 high-quality human binary protein-protein interactions. At equal quality, this map is similar to 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 inter-connectivity 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.
Keywords
PROTEINS, DISORDERS, GENOME-WIDE ASSOCIATION, MOLECULAR INTERACTION DATABASE, POSTTRANSLATIONAL MODIFICATIONS, HUMAN-DISEASE, COMPREHENSIVE RESOURCE, CANCER GENES, EXPRESSION, UPDATE

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 2.24 MB

Citation

Please use this url to cite or link to this publication:

MLA
Rolland, Thomas, Murat Taşan, Benoit Charloteaux, et al. “A Proteome-scale Map of the Human Interactome Network.” CELL 159.5 (2014): 1212–1226. Print.
APA
Rolland, T., Taşan, M., Charloteaux, B., Pevzner, S. J., Zhong, Q., Sahni, N., Yi, S., et al. (2014). A proteome-scale map of the human interactome network. CELL, 159(5), 1212–1226.
Chicago author-date
Rolland, Thomas, Murat Taşan, Benoit Charloteaux, Samuel J Pevzner, Quan Zhong, Nidhi Sahni, Song Yi, et al. 2014. “A Proteome-scale Map of the Human Interactome Network.” Cell 159 (5): 1212–1226.
Chicago author-date (all authors)
Rolland, Thomas, 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, Shelley A Trigg, 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, and Marc Vidal. 2014. “A Proteome-scale Map of the Human Interactome Network.” Cell 159 (5): 1212–1226.
Vancouver
1.
Rolland T, Taşan M, Charloteaux B, Pevzner SJ, Zhong Q, Sahni N, et al. A proteome-scale map of the human interactome network. CELL. 2014;159(5):1212–26.
IEEE
[1]
T. Rolland et al., “A proteome-scale map of the human interactome network,” CELL, vol. 159, no. 5, pp. 1212–1226, 2014.
@article{5801043,
  abstract     = {Just as reference genome sequences revolutionized human genetics, reference maps of interactome networks will be critical to fully understand geno-type- phenotype relationships. Here, we describe a systematic map of similar to 14,000 high-quality human binary protein-protein interactions. At equal quality, this map is similar to 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 inter-connectivity 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.},
  author       = {Rolland, Thomas and Taşan, Murat and Charloteaux, Benoit and Pevzner, Samuel J and Zhong, Quan and Sahni, Nidhi and Yi, Song and Lemmens, Irma and Fontanillo, Celia and Mosca, Roberto and Kamburov, Atanas and Ghiassian, Susan D and Yang, Xinping and Ghamsari, Lila and Balcha, Dawit and Begg, Bridget E and Braun, Pascal and Brehme, Marc and Broly, Martin P and Carvunis, Anne-Ruxandra and Convery-Zupan, Dan and Corominas, Roser and Coulombe-Huntington, Jasmin and Dann, Elizabeth and Dreze, Matija and Dricot, Amélie and Fan, Changyu and Franzosa, Eric and Gebreab, Fana and Gutierrez, Bryan J and Hardy, Madeleine F and Jin, Mike and Kang, Shuli and Kiros, Ruth and Lin, Guan Ning and Luck, Katja and MacWilliams, Andrew and Menche, Jörg and Murray, Ryan R and Palagi, Alexandre and Poulin, Matthew M and Rambout, Xavier and Rasla, John and Reichert, Patrick and Romero, Viviana and Ruyssinck, Elien and Sahalie, Julie M and Scholz, Annemarie and Shah, Akash A and Sharma, Amitabh and Shen, Yun and Spirohn, Kerstin and Tam, Stanley and Tejeda, Alexander O and Trigg, Shelley A and Twizere, Jean-Claude and Vega, Kerwin and Walsh, Jennifer and Cusick, Michael E and Xia, Yu and Barabási, Albert-László and Iakoucheva, Lilia M and Aloy, Patrick and De Las Rivas, Javier and Tavernier, Jan and Calderwood, Michael A and Hill, David E and Hao, Tong and Roth, Frederick P and Vidal, Marc},
  issn         = {0092-8674},
  journal      = {CELL},
  keywords     = {PROTEINS,DISORDERS,GENOME-WIDE ASSOCIATION,MOLECULAR INTERACTION DATABASE,POSTTRANSLATIONAL MODIFICATIONS,HUMAN-DISEASE,COMPREHENSIVE RESOURCE,CANCER GENES,EXPRESSION,UPDATE},
  language     = {eng},
  number       = {5},
  pages        = {1212--1226},
  title        = {A proteome-scale map of the human interactome network},
  url          = {http://dx.doi.org/10.1016/j.cell.2014.10.050},
  volume       = {159},
  year         = {2014},
}

Altmetric
View in Altmetric
Web of Science
Times cited: