| Literature DB >> 26186194 |
Edward L Huttlin1, Lily Ting1, Raphael J Bruckner1, Fana Gebreab1, Melanie P Gygi1, John Szpyt1, Stanley Tam1, Gabriela Zarraga1, Greg Colby1, Kurt Baltier1, Rui Dong2, Virginia Guarani1, Laura Pontano Vaites1, Alban Ordureau1, Ramin Rad1, Brian K Erickson1, Martin Wühr1, Joel Chick1, Bo Zhai1, Deepak Kolippakkam1, Julian Mintseris1, Robert A Obar3, Tim Harris4, Spyros Artavanis-Tsakonas3, Mathew E Sowa1, Pietro De Camilli2, Joao A Paulo1, J Wade Harper5, Steven P Gygi6.
Abstract
Protein interactions form a network whose structure drives cellular function and whose organization informs biological inquiry. Using high-throughput affinity-purification mass spectrometry, we identify interacting partners for 2,594 human proteins in HEK293T cells. The resulting network (BioPlex) contains 23,744 interactions among 7,668 proteins with 86% previously undocumented. BioPlex accurately depicts known complexes, attaining 80%-100% coverage for most CORUM complexes. The network readily subdivides into communities that correspond to complexes or clusters of functionally related proteins. More generally, network architecture reflects cellular localization, biological process, and molecular function, enabling functional characterization of thousands of proteins. Network structure also reveals associations among thousands of protein domains, suggesting a basis for examining structurally related proteins. Finally, BioPlex, in combination with other approaches, can be used to reveal interactions of biological or clinical significance. For example, mutations in the membrane protein VAPB implicated in familial amyotrophic lateral sclerosis perturb a defined community of interactors.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26186194 PMCID: PMC4617211 DOI: 10.1016/j.cell.2015.06.043
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582