Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.
Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
Nature. 2020 Apr;580(7803):402-408. doi: 10.1038/s41586-020-2188-x. Epub 2020 Apr 8.
Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype-phenotype relationships. 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, transcriptome and proteome 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.
要全面了解介导基因型-表型关系的互作网络,就必须深入研究细胞组织和基因组功能。为此,我们构建了人类全互作参考图谱(HuRI),该图谱描绘了人类全部的二元蛋白互作关系。图谱中约有 53000 个蛋白-蛋白互作,其数量大约是经过精心筛选的小规模研究中高质量互作的四倍。HuRI 与基因组、转录组和蛋白质组数据整合,使我们能够在大多数生理或病理细胞环境下研究细胞功能。我们还通过 HuRI 展示了其在鉴定蛋白-蛋白互作的特定亚细胞作用方面的应用。推断出的组织特异性网络揭示了形成细胞上下文特异性功能的一般原则,并阐明了可能潜在存在于孟德尔疾病组织特异性表型中的分子机制。HuRI 是一个系统的蛋白质组参考图谱,将基因组变异与表型结果联系起来。