A Scalable Low-Input Redox Proteomics Workflow Enables High-Throughput Analysis of Cysteine Oxidation in 96-Well Cell Cultures.

IF 6.3 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2026-09-01 Epub Date: 2026-08-17 DOI:10.1016/j.mcpro.2026.101641
Adam M Kabza, Rosey Chu, Jesse Trejo, Xiaolu Li, Matthew J Gaffrey, David Hall, Wei-Jun Qian, Tong Zhang
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引用次数: 0

Abstract

Reversible oxidation of cysteine residues (redox modifications) plays a crucial role in regulating protein function, signaling, and cellular homeostasis. These dynamic modifications act as molecular switches that transduce redox signals and modulate stress responses, metabolism, and pathogenesis. Redox proteomics enables systematic profiling of these modifications, quantifying the oxidation levels of tens of thousands of cysteine sites across the proteome and providing rich data to understand redox-regulated networks. However, conventional redox proteomic workflows are often limited by low-throughput and high sample requirements. Here, we present a high-throughput sample processing workflow for redox proteomics analysis from as little as 2 μg of protein. The workflow integrates 96-well plate-based cell culture, lysis, digestion, and cysteine-peptide enrichment, substantially increasing throughput and reducing hands-on processing time. Incorporating field asymmetric ion mobility spectrometry (FAIMS) further enhances redox proteome coverage by removing singly charged species in low-input samples, thereby increasing the signal of cysteine-containing peptides. Applying the workflow to RAW264.7 cells cultured in 96-well plates (40,000 cells per well), DIA identified >10,000 cysteine sites, and revealed a global increase in cysteine oxidation upon diamide treatment. To assess robustness, we repeated the 96-well experiment across three independent batches processed on different days and observed consistent coverage, reproducible quantification, and comparable diamide-induced oxidation of heat shock proteins, transcription factors, and protein kinases. Together, this workflow and new data acquisition scheme enable comprehensive redox proteomics from minimal inputs, paving the way for high-throughput sophisticated studies of redox modifications in cell signaling, disease, or large-scale screening of redox-modulating compounds.

可扩展的低输入氧化还原蛋白质组学工作流程可实现96孔细胞培养中半胱氨酸氧化的高通量分析。
半胱氨酸残基的可逆氧化(氧化还原修饰)在调节蛋白质功能、信号传导和细胞稳态中起着至关重要的作用。这些动态修饰作为分子开关,传递氧化还原信号,调节应激反应、代谢和发病机制。氧化还原蛋白质组学能够系统地分析这些修饰,量化蛋白质组中成千上万个半胱氨酸位点的氧化水平,并提供丰富的数据来理解氧化还原调节的网络。然而,传统的氧化还原蛋白质组学工作流程往往受到低通量和高样品要求的限制。在这里,我们提出了一种高通量样品处理流程,用于氧化还原蛋白质组学分析,只需2 μg的蛋白质,首次实现了在96孔板中培养的细胞的快速氧化还原状态分析。该工作流程集成了96孔板细胞培养、裂解、消化和半胱氨酸肽富集,大大提高了吞吐量,减少了手工处理时间。结合场不对称离子迁移谱法(FAIMS),通过去除低输入样品中的单电荷,进一步增强氧化还原蛋白质组覆盖,从而增加含半胱氨酸肽的信号。将该工作流程应用于96孔板中培养的RAW264.7细胞(每孔40000个细胞),DIA确定了bb1010000个半胱氨酸位点,并发现在二胺处理下,半胱氨酸氧化在全球范围内增加。为了评估稳健性,我们在三个独立批次中重复了96孔实验,分别在不同的日期进行处理,观察到一致的覆盖范围、可重复的量化结果,以及热休克蛋白、转录因子和蛋白激酶在二胺诱导氧化中的可比性。总之,该工作流程和新的数据采集方案可以从最小的投入中实现全面的氧化还原蛋白质组学,为细胞信号传导、疾病或氧化还原调节化合物的大规模筛选中的氧化还原修饰的高通量复杂研究铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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