Integrating multi-omics data reveals function and therapeutic potential of deubiquitinating enzymes

泛素 计算生物学 蛋白酵素 药物发现 癌基因 脱氮酶 生物 功能(生物学) 基因 生物信息学 遗传学 生物化学 细胞周期
作者
Laura M. Doherty,Caitlin E. Mills,Sarah A. Boswell,Xiaoxi Liu,Charles Tapley Hoyt,Benjamin M. Gyori,Sara J. Buhrlage,Peter K. Sorger
标识
DOI:10.1101/2021.08.06.455458
摘要

ABSTRACT Deubiquitinating enzymes (DUBs) are proteases that remove ubiquitin conjugates from proteins, thereby regulating protein turnover. Inhibition of DUBs promises to make classically undruggable targets such as the tumor suppressor TP53 and oncogene c-Myc amenable to regulation by small molecules. However, the majority of substrates and pathways regulated by DUBs remain unknown, impeding efforts to prioritize specific enzymes for research and drug development. To assemble a knowledgebase of DUB activities, co-dependent genes, and substrates, we combined targeted experiments using CRISPR libraries and inhibitors with systematic mining of functional genomic databases. Analysis of the Dependency Map, Connectivity Map, Cancer Cell Line Encyclopedia, and protein-protein interaction databases yielded specific hypotheses about DUB function, a subset of which were confirmed in follow-on experiments. The data in this paper, which are browsable online via the DUB Portal , promise to improve understanding of DUBs as a family as well as the activities of specific DUBs such as USP14, UCHL5 and USP7, which have been targeted with investigational cancer therapeutics.

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