Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters

Q1 Pharmacology, Toxicology and Pharmaceutics Drug Discovery Today: Technologies Pub Date : 2021-12-01 DOI:10.1016/j.ddtec.2021.06.006
Jiapeng Li, Logan S. Smith, Hao-Jie Zhu
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引用次数: 14

Abstract

Data-independent acquisition (DIA) proteomics is a recently-developed global mass spectrometry (MS)-based proteomics strategy. In a DIA method, precursor ions are isolated into pre-defined isolation windows and fragmented; all fragmented ions in each window are then analyzed by a high-resolution mass spectrometer. DIA proteomics analysis is characterized by a broad protein coverage, high reproducibility, and accuracy, and its combination with advances in other techniques such as sample preparation and computational data analysis could lead to further improvements in assay performances. DIA technology has been increasingly utilized in various proteomics studies, including quantifying drug-metabolizing enzymes and transporters. Quantitative proteomics study of drug-metabolizing enzymes and transporters could lead to a better understanding of pharmacokinetics and pharmacodynamics and facilitate drug development. This review summarizes the application of DIA technology in proteomic analysis of drug-metabolizing enzymes and transporters.

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数据独立获取(DIA):一种新兴的蛋白质组学技术,用于分析药物代谢酶和转运蛋白
数据独立获取(DIA)蛋白质组学是最近发展起来的一种基于质谱(MS)的全球蛋白质组学策略。在DIA方法中,前体离子被隔离到预先定义的隔离窗口中并破碎;然后用高分辨率质谱仪分析每个窗口中的所有碎片离子。DIA蛋白质组学分析的特点是蛋白质覆盖范围广,重现性高,准确性高,与其他技术的进步相结合,如样品制备和计算数据分析,可以进一步提高分析性能。DIA技术已越来越多地应用于各种蛋白质组学研究,包括定量药物代谢酶和转运蛋白。对药物代谢酶和转运体的定量蛋白质组学研究可以更好地了解药物的药代动力学和药效学,促进药物的开发。本文综述了DIA技术在药物代谢酶和转运体蛋白质组学分析中的应用。
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来源期刊
Drug Discovery Today: Technologies
Drug Discovery Today: Technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Discovery Today: Technologies compares different technological tools and techniques used from the discovery of new drug targets through to the launch of new medicines.
期刊最新文献
Proteomics advances towards developing SARS-CoV-2 therapeutics using in silico drug repurposing approaches Application of proteomic data in the translation of in vitro observations to associated clinical outcomes Advances in sample preparation for membrane proteome quantification Application of proteomics to understand maturation of drug metabolizing enzymes and transporters for the optimization of pediatric drug therapy Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters
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