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基于质谱的蛋白质共价加合物靶向和非靶向鉴定方法(加合物组学):现状与挑战

Mass Spectrometry-Based Methodologies for Targeted and Untargeted Identification of Protein Covalent Adducts (Adductomics): Current Status and Challenges.

作者信息

Nunes João, Charneira Catarina, Morello Judit, Rodrigues João, Pereira Sofia A, Antunes Alexandra M M

机构信息

Centro de Química Estrutural, Instituto Superior Técnico, ULisboa, 1049-001 Lisboa, Portugal.

Clarify Analytical, Rua dos Mercadores 128A, 7000-872 Évora, Portugal.

出版信息

High Throughput. 2019 Apr 23;8(2):9. doi: 10.3390/ht8020009.

Abstract

Protein covalent adducts formed upon exposure to reactive (mainly electrophilic) chemicals may lead to the development of a wide range of deleterious health outcomes. Therefore, the identification of protein covalent adducts constitutes a huge opportunity for a better understanding of events underlying diseases and for the development of biomarkers which may constitute effective tools for disease diagnosis/prognosis, for the application of personalized medicine approaches and for accurately assessing human exposure to chemical toxicants. The currently available mass spectrometry (MS)-based methodologies, are clearly the most suitable for the analysis of protein covalent modifications, providing accuracy, sensitivity, unbiased identification of the modified residue and conjugates along with quantitative information. However, despite the huge technological advances in MS instrumentation and bioinformatics tools, the identification of low abundant protein covalent adducts is still challenging. This review is aimed at summarizing the MS-based methodologies currently used for the identification of protein covalent adducts and the strategies developed to overcome the analytical challenges, involving not only sample pre-treatment procedures but also distinct MS and data analysis approaches.

摘要

接触反应性(主要是亲电)化学物质后形成的蛋白质共价加合物可能导致多种有害健康后果的发生。因此,鉴定蛋白质共价加合物为更好地理解疾病潜在机制以及开发生物标志物提供了巨大机遇,这些生物标志物可构成疾病诊断/预后的有效工具,用于个性化医疗方法,并准确评估人类对化学毒物的暴露情况。目前可用的基于质谱(MS)的方法显然最适合分析蛋白质共价修饰,可提供准确性、灵敏度、对修饰残基和共轭物的无偏鉴定以及定量信息。然而,尽管MS仪器和生物信息学工具取得了巨大的技术进步,但鉴定低丰度蛋白质共价加合物仍然具有挑战性。本综述旨在总结目前用于鉴定蛋白质共价加合物的基于MS的方法以及为克服分析挑战而开发的策略,这不仅涉及样品预处理程序,还涉及不同的MS和数据分析方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71fa/6631461/740fdc196871/high-throughput-08-00009-g001.jpg

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