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

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2019-04-23 DOI:10.3390/ht8020009
João Nunes, Catarina Charneira, Judit Morello, João Rodrigues, Sofia A Pereira, Alexandra M M Antunes
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引用次数: 18

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.

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基于质谱的蛋白质共价加合物的靶向和非靶向鉴定方法:现状和挑战。
暴露于反应性(主要是亲电性)化学品后形成的蛋白质共价加合物可能导致一系列有害健康结果的发展。因此,蛋白质共价加合物的鉴定为更好地了解潜在疾病事件和开发生物标志物提供了巨大的机会,这些生物标志物可能构成疾病诊断/预后的有效工具,用于个性化医学方法的应用以及准确评估人类暴露于化学毒物。目前可用的基于质谱(MS)的方法显然是最适合分析蛋白质共价修饰的方法,它提供了准确、敏感、无偏的修饰残基和偶联物鉴定以及定量信息。然而,尽管在质谱仪器和生物信息学工具方面取得了巨大的技术进步,低丰度蛋白共价加合物的鉴定仍然具有挑战性。本综述旨在总结目前用于鉴定蛋白质共价加合物的基于质谱的方法,以及为克服分析挑战而开发的策略,不仅涉及样品预处理程序,还涉及不同的质谱和数据分析方法。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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