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近年来,活体系中砷结合蛋白质组的分析策略取得了进展。

Recent progress in analytical strategies of arsenic-binding proteomes in living systems.

机构信息

State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.

Southern Marine Science and Engineering Guangdong Laboratory, School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China.

出版信息

Anal Bioanal Chem. 2023 Nov;415(28):6915-6929. doi: 10.1007/s00216-023-04812-6. Epub 2023 Jul 6.

Abstract

Arsenic (As) is one of the most concerning elements due to its high exposure risks to organisms and ecosystems. The interaction between arsenicals and proteins plays a pivotal role in inducing their biological effects on living systems, e.g., arsenicosis. In this review article, the recent advances in analytical techniques and methods of As-binding proteomes were well summarized and discussed, including chromatographic separation and purification, biotin-streptavidin pull-down probes, in situ imaging using novel fluorescent probes, and protein identification. These analytical technologies could provide a growing body of knowledge regarding the composition, level, and distribution of As-binding proteomes in both cells and biological samples, even at the organellar level. The perspectives on analysis of As-binding proteomes are also proposed, e.g., isolation and identification of minor proteins, in vivo targeted protein degradation (TPD) technologies, and spatial As-binding proteomics. The application and development of sensitive, accurate, and high-throughput methodologies of As-binding proteomics would enable us to address the key molecular mechanisms underlying the adverse health effects of arsenicals.

摘要

砷(As)是最受关注的元素之一,因为它对生物体和生态系统的暴露风险很高。砷化物与蛋白质的相互作用在诱导它们对生命系统的生物效应方面起着关键作用,例如砷中毒。在这篇综述文章中,对砷结合蛋白质组的分析技术和方法的最新进展进行了很好的总结和讨论,包括色谱分离和纯化、生物素-链霉亲和素下拉探针、新型荧光探针的原位成像以及蛋白质鉴定。这些分析技术可以提供越来越多的关于砷结合蛋白质组在细胞和生物样品中的组成、水平和分布的知识,甚至在细胞器水平上也是如此。还提出了分析砷结合蛋白质组的观点,例如,微量蛋白质的分离和鉴定、体内靶向蛋白质降解(TPD)技术和空间砷结合蛋白质组学。砷结合蛋白质组学的灵敏、准确和高通量方法的应用和发展将使我们能够解决砷化物对健康的不良影响的关键分子机制。

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