E3泛素连接酶与靶底物的组合作图

IF 16 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Cell Pub Date : 2025-02-06 DOI:10.1016/j.molcel.2025.01.016
Chase C. Suiter, Diego Calderon, David S. Lee, Melodie Chiu, Shruti Jain, Florence M. Chardon, Choli Lee, Riza M. Daza, Cole Trapnell, Ning Zheng, Jay Shendure
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引用次数: 0

摘要

E3泛素连接酶(E3s)通过底物蛋白的泛素化赋予蛋白质降解的特异性。然而,600个人类e3中的绝大多数没有已知的底物。为了大规模鉴定蛋白水解E3-底物对,我们开发了E3靶标组合图谱(COMET),这是一个框架,用于在单个实验中测试许多E3在降解许多候选底物中的作用。我们将COMET应用于介导目标底物降解的SCF泛素连接酶亚基(6,716个F-box-ORF[开放阅读框]组合)和降解短寿命转录因子(tf)的E3s(26,028个E3-TF组合)。我们的数据表明,许多e3 -底物关系是复杂的,而不是1:1的关联。最后,我们利用深度学习来预测E3-substrate相互作用的结构基础,并探索这些模型的优势和局限性。展望未来,我们考虑转置该框架的实用性,即对所有可能的e3 -底物相互作用进行计算结构预测,然后进行多重实验验证。
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Combinatorial mapping of E3 ubiquitin ligases to their target substrates
E3 ubiquitin ligases (E3s) confer specificity of protein degradation through ubiquitination of substrate proteins. Yet, the vast majority of the >600 human E3s have no known substrates. To identify proteolytic E3-substrate pairs at scale, we developed combinatorial mapping of E3 targets (COMET), a framework for testing the role of many E3s in degrading many candidate substrates within a single experiment. We applied COMET to SCF ubiquitin ligase subunits that mediate degradation of target substrates (6,716 F-box-ORF [open reading frame] combinations) and E3s that degrade short-lived transcription factors (TFs) (26,028 E3-TF combinations). Our data suggest that many E3-substrate relationships are complex rather than 1:1 associations. Finally, we leverage deep learning to predict the structural basis of E3-substrate interactions and probe the strengths and limits of such models. Looking forward, we consider the practicality of transposing this framework, i.e., computational structural prediction of all possible E3-substrate interactions, followed by multiplex experimental validation.
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来源期刊
Molecular Cell
Molecular Cell 生物-生化与分子生物学
CiteScore
26.00
自引率
3.80%
发文量
389
审稿时长
1 months
期刊介绍: Molecular Cell is a companion to Cell, the leading journal of biology and the highest-impact journal in the world. Launched in December 1997 and published monthly. Molecular Cell is dedicated to publishing cutting-edge research in molecular biology, focusing on fundamental cellular processes. The journal encompasses a wide range of topics, including DNA replication, recombination, and repair; Chromatin biology and genome organization; Transcription; RNA processing and decay; Non-coding RNA function; Translation; Protein folding, modification, and quality control; Signal transduction pathways; Cell cycle and checkpoints; Cell death; Autophagy; Metabolism.
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