4.8 Article

A reference map of the human binary protein interactome

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NATURE
卷 580, 期 7803, 页码 402-+

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NATURE PORTFOLIO
DOI: 10.1038/s41586-020-2188-x

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资金

  1. National Institutes of Health (NIH) National Human Genome Research Institute (NHGRI) [U41HG001715]
  2. NIH [P50HG004233, U01HL098166, U01HG007690, R01GM109199, T32CA009361]
  3. Canadian Institute for Health Research (CIHR) Foundation
  4. Canada Excellence Research Chairs Program
  5. American Heart Association [15CVGPS23430000]
  6. Banting Postdoctoral Fellowship through the Natural Sciences and Engineering Research Council (NSERC) of Canada
  7. Basic Science Research Program through the National Research Foundation (NRF) of Korea - Ministry of Education [2017R1A6A3A03004385]
  8. Ramon Cajal fellowship [RYC-201722959]
  9. National Research Foundation of Korea [2017R1A6A3A03004385] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype-phenotype relationships(1,2). Here we present a human 'all-by-all' reference interactome map of human binary protein interactions, or 'HuRI'. With approximately 53,000 protein-protein interactions, HuRI has approximately four times as many such interactions as there are high-quality curated interactions from small-scale studies. The integration of HuRI with genome(3), transcriptome(4) and proteome(5) data enables cellular function to be studied within most physiological or pathological cellular contexts. We demonstrate the utility of HuRI in identifying the specific subcellular roles of protein-protein interactions. Inferred tissue-specific networks reveal general principles for the formation of cellular context-specific functions and elucidate potential molecular mechanisms that might underlie tissue-specific phenotypes of Mendelian diseases. HuRI is a systematic proteome-wide reference that links genomic variation to phenotypic outcomes.

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