药品
计算生物学
蛋白质组学
药物作用
作用机理
生物
药物发现
信号转导
机制(生物学)
化学
生物信息学
药理学
细胞生物学
基因
生物化学
体外
哲学
认识论
作者
Jana Zecha,Florian Bayer,Svenja Wiechmann,Julia Rechenberger,Nicola Berner,Julian Müller,Annika Schneider,Karl Kramer,Mar Abril-Gil,Thomas A. Hopf,Leonie Reichart,Lin Chen,Fynn M. Hansen,Severin Lechner,Patroklos Samaras,Stephan Eckert,Ludwig Lautenbacher,Maria Reinecke,Firas Hamood,Polina Prokofeva
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2023-03-16
卷期号:380 (6640): 93-101
被引量:58
标识
DOI:10.1126/science.ade3925
摘要
Although most cancer drugs modulate the activities of cellular pathways by changing posttranslational modifications (PTMs), little is known regarding the extent and the time- and dose-response characteristics of drug-regulated PTMs. In this work, we introduce a proteomic assay called decryptM that quantifies drug-PTM modulation for thousands of PTMs in cells to shed light on target engagement and drug mechanism of action. Examples range from detecting DNA damage by chemotherapeutics, to identifying drug-specific PTM signatures of kinase inhibitors, to demonstrating that rituximab kills CD20-positive B cells by overactivating B cell receptor signaling. DecryptM profiling of 31 cancer drugs in 13 cell lines demonstrates the broad applicability of the approach. The resulting 1.8 million dose-response curves are provided as an interactive molecular resource in ProteomicsDB.
科研通智能强力驱动
Strongly Powered by AbleSci AI