Wiktorowicz John E, Zago M Paola, Garg Nisha J
Department of Biochemistry and Molecular Biology, University of Texas Medical Branch (UTMB), Galveston, TX, USA.
Institute for Human Infections and Immunity, UTMB, Galveston, TX, USA.
Methods Mol Biol. 2019;1955:363-380. doi: 10.1007/978-1-4939-9148-8_27.
The thiol moieties of cysteinyl residues in proteins undergo a number of modifications including nitrosylation, oxidation, persulfidation, sulfenylation, and others. These protein modifications may influence gain as well as loss of function in biological and disease conditions. Herein, we describe a quantitative approach that combines accurate, sensitive fluorescence modification of cysteinyl-S-nitrosyl (SNOFlo) groups that leaves electrophoretic mobility unaffected and offers the measurement of changes in S-nitrosylation (SNO) status relative to protein abundance. This approach has been useful in evaluating the global protein abundance and SNO profile of Chagas seropositive individuals that were categorized in clinically asymptomatic (C/A) and clinically symptomatic (C/S) subgroups and compared to normal healthy (N/H) controls. Through analyzing the proteome datasets with different bioinformatics and statistics tools, potential pathologic mechanisms in disease progression are identified. We also propose a panel of protein biomarkers that have a potential to identify the infected individuals at risk of developing clinical Chagas disease.
蛋白质中半胱氨酰残基的硫醇部分会经历多种修饰,包括亚硝基化、氧化、过硫化、亚磺酰化等。这些蛋白质修饰可能会影响生物和疾病状态下的功能获得以及功能丧失。在此,我们描述了一种定量方法,该方法结合了对半胱氨酰 - S - 亚硝基(SNOFlo)基团进行准确、灵敏的荧光修饰,这种修饰不会影响电泳迁移率,并能测量相对于蛋白质丰度的S - 亚硝基化(SNO)状态变化。该方法在评估恰加斯血清反应阳性个体的整体蛋白质丰度和SNO谱方面很有用,这些个体被分为临床无症状(C/A)和临床有症状(C/S)亚组,并与正常健康(N/H)对照进行比较。通过使用不同的生物信息学和统计工具分析蛋白质组数据集,确定了疾病进展中的潜在病理机制。我们还提出了一组蛋白质生物标志物,它们有可能识别出有发展为临床恰加斯病风险的感染个体。