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A reference map of the human protein interactome

Authors :
Madeleine F. Hardy
Bridget Teeking
Francisco J. Campos-Laborie
Dayag Sheykhkarimli
Dawit Balcha
Anjali Gopal
Marinella Gebbia
Ashyad Rayhan
Carles Pons
Gloria M. Sheynkman
Yves Jacob
Suzanne Gaudet
Aaron Richardson
Yoseph Kassa
Elodie Hatchi
Kerstin Spirohn
Dong-Sic Choi
Yu Xia
Eyal Simonovsky
David E. Hill
Hanane Ennajdaoui
Steven Deimling
Joseph N. Paulson
Natascha van Lieshout
Vincent Tropepe
Michael A. Calderwood
István Kovács
Gary D. Bader
Luke Lambourne
Sudharshan Rangarajan
Tiziana M. Cafarelli
Carl Pollis
Suet-Feung Chin
Alice Desbuleux
Andrew MacWilliams
Amélie Dricot
Jean-Claude Twizere
Patrick Aloy
Atina G. Cote
Marc Vidal
Jan Tavernier
Javier De Las Rivas
Cassandra D’Amata
Alexander O. Tejeda
Esti Yeger-Lotem
Liana Goehring
Joseph C. Mellor
Meaghan Daley
Irma Lemmens
Soon Gang Choi
Christian Bowman-Colin
Ghazal Haddad
Janusz Rak
Florian Goebels
Robert J. Weatheritt
Mariana Babor
Yang Wang
Thomas Rolland
Steffi De Rouck
Jochen Weile
Serena Landini
John Rasla
Sadie Schlabach
Nishka Kishore
Bridget E. Begg
Ruth Brignall
Quan Zhong
Tong Hao
David De Ridder
Claudia Colabella
Frederick P. Roth
Anupama Yadav
Mohamed Helmy
Katja Luck
Omer Basha
Dae-Kyum Kim
Benoit Charloteaux
Georges Coppin
Dylan Markey
Roujia Li
Miquel Duran-Frigola
Adriana San-Miguel
Wenting Bian
Miles W. Mee
Jennifer J. Knapp
Yun Shen
Murat Tasan
Xinping Yang
Dana-Farber Cancer Institute [Boston]
Division of Medical Physics in Radiology [Heidelberg]
German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ)
Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS)
Cancer Research UK Cambridge Institute (CRUK)
University of Cambridge [UK] (CAM)
Génétique Moléculaire des Virus à ARN - Molecular Genetics of RNA Viruses (GMV-ARN (UMR_3569 / U-Pasteur_2))
Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut Pasteur [Paris]
Harvard Medical School [Boston] (HMS)
University of Toronto
Universidad de Salamanca
McGill University Health Center [Montreal] (MUHC)
Mount Sinai Hospital [Toronto, Canada] (MSH)
Université de Liège
Wigner Research Centre for Physics [Budapest]
Hungarian Academy of Sciences (MTA)
Northeastern University [Boston]
Vlaams Instituut voor Biotechnologie [Ghent, Belgique] (VIB)
Universiteit Gent = Ghent University [Belgium] (UGENT)
Barcelona Institute of Science and Technology (BIST)
Ben-Gurion University of the Negev (BGU)
Università degli Studi di Perugia (UNIPG)
Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Canadian Institute for Advanced Research (CIFAR)
Universiteit Gent = Ghent University (UGENT)
Università degli Studi di Perugia = University of Perugia (UNIPG)
Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Source :
Nature
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

Abstract

Global insights into cellular organization and function require comprehensive understanding of interactome networks. Similar to how a reference genome sequence revolutionized human genetics, a reference map of the human interactome network is critical to fully understand genotype-phenotype relationships. Here we present the first human “all-by-all” binary reference interactome map, or “HuRI”. With ~53,000 high-quality protein-protein interactions (PPIs), HuRI is approximately four times larger than the information curated from small-scale studies available in the literature. Integrating HuRI with genome, transcriptome and proteome data enables the study of cellular function within essentially any physiological or pathological cellular context. We demonstrate the use of HuRI in identifying specific subcellular roles of PPIs and protein function modulation via splicing during brain development. Inferred tissue-specific networks reveal general principles for the formation of cellular context-specific functions and elucidate potential molecular mechanisms underlying tissue-specific phenotypes of Mendelian diseases. HuRI thus represents an unprecedented, systematic reference linking genomic variation to phenotypic outcomes.

Details

ISSN :
00280836, 14764679, and 14764687
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....a0dcc8c7bb64a39a5f3d25ef82f4debb