bioRxivSystems BiologyPreprint
A reference map of the human protein interactome
Katja LuckiD, Dae‐Kyum KimiD, Luke LambourneiD, Kerstin SpirohniD, Bridget E. BeggiD, Wenting Bian, Ruth Brignall, Tiziana M. Cafarelli, Francisco Jose Campos-LaborieiD, Benoît CharloteauxiD, Dongsic ChoiiD, Atina G. CotéiD, Meaghan Daley, Steven J. Deimling, Alice DesbuleuxiD, Amélie Dricot, Marinella GebbiaiD, Madeleine F. Hardy, Nishka KishoreiD, Jennifer J. KnappiD, István A. KovácsiD, Irma H. LemmensiD, Miles W. MeeiD, Joseph C. MelloriD, Carl PollisiD, , Michael A. CalderwoodiD
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.
- organism: human
- assay: protein structure
- assay: protein sequence
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: statistical model
- Citations
- 27
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