基于质谱的定量蛋白质组学标记方法教程回顾

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Zicong Wang, Peng-Kai Liu, Lingjun Li
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引用次数: 0

摘要

质谱(MS)技术的最新进展彻底改变了定量蛋白质组学,而多重同位素标记则成为提高准确性、精确度和通量的关键策略。本教程综述全面介绍了多重同位素标记技术,包括基于前体、基于质量缺陷、基于报告离子和混合标记的方法。它详细介绍了这些方法的基本原理、优势和固有局限,以及缓解比值失真的策略。本综述还将介绍这些标记技术在各个领域的应用和最新进展,包括癌症生物标记物发现、神经蛋白质组学、翻译后修饰分析、交联 MS 和单细胞蛋白质组学。本综述旨在为研究人员选择适合其特定目标的方法提供指导,同时强调这一快速发展领域的潜在未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Tutorial Review of Labeling Methods in Mass Spectrometry-Based Quantitative Proteomics

A Tutorial Review of Labeling Methods in Mass Spectrometry-Based Quantitative Proteomics
Recent advancements in mass spectrometry (MS) have revolutionized quantitative proteomics, with multiplex isotope labeling emerging as a key strategy for enhancing accuracy, precision, and throughput. This tutorial review offers a comprehensive overview of multiplex isotope labeling techniques, including precursor-based, mass defect-based, reporter ion-based, and hybrid labeling methods. It details their fundamental principles, advantages, and inherent limitations along with strategies to mitigate the limitation of ratio-distortion. This review will also cover the applications and latest progress in these labeling techniques across various domains, including cancer biomarker discovery, neuroproteomics, post-translational modification analysis, cross-linking MS, and single-cell proteomics. This Review aims to provide guidance for researchers on selecting appropriate methods for their specific goals while also highlighting the potential future directions in this rapidly evolving field.
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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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