Sulfonium-Based Activity-Based Probes for Lysine-Selective Protein Profiling under Alkaline Conditions

IF 1.7 4区 化学 Q3 CHEMISTRY, ORGANIC
Synlett Pub Date : 2024-03-01 DOI:10.1055/s-0042-1751571
Changxing Hu, Rui Wang, Yuhao An, Chuan Wan, Feng Yin, Fei Lu, Zigang Li
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引用次数: 0

Abstract

Due to their strong nucleophilicities, nucleophilic lysine and cysteine residues can be easily recognized and modified by electrophilic groups, thus, acting as the targets for covalent ligands or drugs. Therefore, the development of site-specific protein-modification chemistry for various nucleophilic residues has been explored to label proteins selectively for many biological and therapeutic applications. In this study, we constructed a series of sulfonium-based small molecules to react with the amine group of lysine residues by utilizing the strong electrophilicity of sulfonium, resulting in lysine-selective labeling via the formation of classical amide bonds under alkaline conditions (pH 9.0–11.0). After systematic optimization of the labeling conditions, this strategy was utilized for protein labeling across various bacteria’s lysates. Finally, combined with the activity-based protein profiling (ABPP) strategy, we successfully identified and analyzed hundreds of labeled lysine residues in the bacterial proteome.

Abstract Image

基于锍活性的探针,用于碱性条件下的赖氨酸选择性蛋白质分析
由于亲核性很强,亲核的赖氨酸和半胱氨酸残基很容易被亲电基团识别和修饰,从而成为共价配体或药物的靶标。因此,人们一直在探索开发针对各种亲核残基的特定位点蛋白质修饰化学,以选择性地标记蛋白质,用于多种生物和治疗应用。在本研究中,我们构建了一系列锍基小分子,利用锍的强亲电性与赖氨酸残基的胺基发生反应,从而在碱性条件下(pH 9.0-11.0)通过形成经典酰胺键实现赖氨酸选择性标记。在对标记条件进行系统优化后,这种策略被用于各种细菌裂解物的蛋白质标记。最后,结合基于活性的蛋白质分析(ABPP)策略,我们成功鉴定并分析了细菌蛋白质组中的数百个标记赖氨酸残基。
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来源期刊
Synlett
Synlett 化学-有机化学
CiteScore
3.40
自引率
5.00%
发文量
369
审稿时长
1 months
期刊介绍: SYNLETT is an international journal reporting research results and current trends in chemical synthesis in short personalized reviews and preliminary communications. It covers all fields of scientific endeavor that involve organic synthesis, including catalysis, organometallic, medicinal, biological, and photochemistry, but also related disciplines and offers the possibility to publish scientific primary data.
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