
Open access
Date
2019-01-01Type
- Journal Article
Citations
Cited 62 times in
Web of Science
Cited 62 times in
Scopus
ETH Bibliography
yes
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Abstract
Proteins are major effectors and regulators of biological processes that can elicit multiple functions depending on their interaction with other proteins. The organization of proteins into macromolecular complexes and their quantitative distribution across these complexes is, therefore, of great biological and clinical significance. In this paper, we describe an integrated experimental and computational technique to quantify hundreds of protein complexes in a single operation. The method consists of size exclusion chromatography (SEC) to fractionate native protein complexes, SWATH/DIA mass spectrometry to precisely quantify the proteins in each SEC fraction, and the computational framework CCprofiler to detect and quantify protein complexes by error‐controlled, complex‐centric analysis using prior information from generic protein interaction maps. Our analysis of the HEK293 cell line proteome delineates 462 complexes composed of 2,127 protein subunits. The technique identifies novel sub‐complexes and assembly intermediates of central regulatory complexes while assessing the quantitative subunit distribution across them. We make the toolset CCprofiler freely accessible and provide a web platform, SECexplorer, for custom exploration of the HEK293 proteome modularity. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000322312Publication status
publishedExternal links
Journal / series
Molecular Systems BiologyVolume
Pages / Article No.
Publisher
EMBO PressSubject
Protein complexes; proteome organization; Proteomics; Size exclusion chromatography; SWATH‐MSOrganisational unit
03663 - Aebersold, Rudolf (emeritus) / Aebersold, Rudolf (emeritus)
Funding
670821 - Proteomics 4D: The proteome in context (EC)
161435 - The host-pathogen protein interactome of Mycobacterium tuberculosis (SNF)
166435 - MitoModules: Biomarkers in context (SNF)
Related publications and datasets
Is part of: https://doi.org/10.3929/ethz-b-000220300
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Show all metadata
Citations
Cited 62 times in
Web of Science
Cited 62 times in
Scopus
ETH Bibliography
yes
Altmetrics