Resin-assisted enrichment of thiols as a general strategy for proteomic profiling of cysteine-based reversible modifications

树脂辅助富集硫醇作为半胱氨酸可逆修饰蛋白质组学分析的一般策略

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作者:Jia Guo, Matthew J Gaffrey, Dian Su, Tao Liu, David G Camp 2nd, Richard D Smith, Wei-Jun Qian

Abstract

Reversible modifications of cysteine thiols have a key role in redox signaling and regulation. A number of reversible redox modifications, including disulfide formation, S-nitrosylation (SNO) and S-glutathionylation (SSG), have been recognized for their significance in various physiological and pathological processes. Here we describe a procedure for the enrichment of peptides containing reversible cysteine modifications. Starting with tissue or cell lysate samples, all of the unmodified free thiols are blocked using N-ethylmaleimide (NEM). This is followed by the selective reduction of those cysteines bearing the reversible modification(s) of interest. The reduction is achieved by using different reducing reagents that react specifically with each type of cysteine modification (e.g., ascorbate for SNO). This protocol serves as a general approach for enrichment of thiol-containing proteins or peptides derived from reversibly modified proteins. The approach uses a commercially available thiol-affinity resin (thiopropyl Sepharose 6B) to directly capture free thiol-containing proteins through a disulfide exchange reaction, followed by on-resin protein digestion and multiplexed isobaric labeling to facilitate liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based quantitative site-specific analysis of cysteine-based reversible modifications. The overall approach requires a simpler workflow with increased specificity compared with the commonly used biotinylation-based assays. The procedure for selective enrichment and analyses of SNO and the level of total reversible cysteine modifications (or total oxidation) is presented to demonstrate the utility of this general strategy. The entire protocol requires ∼3 d for sample processing with an additional day for LC-MS/MS and data analysis.

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