半胱氨酸
蛋白质组
计算生物学
化学
仿形(计算机编程)
布鲁顿酪氨酸激酶
克拉斯
生物化学
生物
酪氨酸激酶
计算机科学
信号转导
基因
突变
酶
操作系统
作者
Miljan Kuljanin,Dylan C. Mitchell,Devin K. Schweppe,Ajami Gikandi,David P. Nusinow,Nathan J. Bulloch,Ekaterina V. Vinogradova,David L. Wilson,Eric T. Kool,Joseph D. Mancias,Benjamin F. Cravatt,Steven P. Gygi
标识
DOI:10.1038/s41587-020-00778-3
摘要
Current methods used for measuring amino acid side-chain reactivity lack the throughput needed to screen large chemical libraries for interactions across the proteome. Here we redesigned the workflow for activity-based protein profiling of reactive cysteine residues by using a smaller desthiobiotin-based probe, sample multiplexing, reduced protein starting amounts and software to boost data acquisition in real time on the mass spectrometer. Our method, streamlined cysteine activity-based protein profiling (SLC-ABPP), achieved a 42-fold improvement in sample throughput, corresponding to profiling library members at a depth of >8,000 reactive cysteine sites at 18 min per compound. We applied it to identify proteome-wide targets of covalent inhibitors to mutant Kirsten rat sarcoma (KRAS)G12C and Bruton's tyrosine kinase (BTK). In addition, we created a resource of cysteine reactivity to 285 electrophiles in three human cell lines, which includes >20,000 cysteines from >6,000 proteins per line. The goal of proteome-wide profiling of cysteine reactivity across thousand-member libraries under several cellular contexts is now within reach.
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