小脑
吞吐量
计算生物学
计算机科学
蛋白质组学
生物
遗传学
电信
基因
泛素连接酶
泛素
无线
作者
Zoran Ranković,Qiong Wu,Jun J. Yang,Gisele Nishiguchi,Henrik Daub,Bachuki Shashikadze,Sophie Machata,Tobias Graef,Björn Schwalb,Denis Bartoschek,Uli Ohmayer,Anastasia Bednarz,Kevin McGowan,Zhe Shi,Jeanine E. Price,Anand Mayasundari,Lei Yang,Vadim Demichev,Martin Steger
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2024-10-19
被引量:7
标识
DOI:10.1101/2024.10.18.618633
摘要
Molecular glue degraders (MGDs) are small molecules that harness the ubiquitin-proteasome system to induce degradation of target proteins lacking conventional druggable pockets. Given the challenges in their rational design, MGD discovery predominantly relies on screening-based approaches, such as cell viability assays. However, one potential limitation of such screening methods is the risk of overlooking non-essential neosubstrates of potential therapeutic value. To address this concern, we present a high-throughput proteome-wide MGD screening platform utilizing label-free, data-independent acquisition mass spectrometry (DIA-MS) for integrated proteomics and ubiquitinomics analysis. Processing a diverse set of 100 CRBN-ligands across two cancer cell lines reveals a broad array of neosubstrates, including 50 novel candidates validated by MS-based ubiquitinomics. These findings considerably expand the current landscape of CRBN-mediated neosubstrates. Comprehensive hit validation and structure-degradation relationship analyses guided by global proteomics, identifies highly selective and potent phenyl glutarimide-based degraders of novel neosubstrates, including KDM4B, G3BP2 and VCL, none of which contain the classical CRBN degron motif. This study demonstrates that comprehensive, high-throughput proteomic screening offers new opportunities in MGD drug discovery.
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