4.6 Article

Complex-centric proteome profiling by SEC-SWATH-MS

期刊

MOLECULAR SYSTEMS BIOLOGY
卷 15, 期 1, 页码 -

出版社

WILEY
DOI: 10.15252/msb.20188438

关键词

protein complexes; proteome organization; proteomics; size exclusion chromatography; SWATH-MS

资金

  1. Scientific IT Support (ID SIS) of ETH Zurich
  2. SystemsX. ch project PhosphoNetX PPM
  3. SystemsX. ch project TbX
  4. European Research Council [ERC-20140AdG 670821]
  5. Institut Merieux
  6. Swiss National Science Foundation Ambizione grant [PZ00P3_ 161435]
  7. National Institutes of Health project Omics4TB Disease Progression [U19 AI106761]
  8. Swiss National Science Foundation [31003A_166435]
  9. NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [U19AI106761] Funding Source: NIH RePORTER

向作者/读者索取更多资源

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.

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