同位素标记/基于标签的蛋白质定量与计量技术研究进展

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-01-03 Epub Date: 2024-12-04 DOI:10.1021/acs.jproteome.4c00713
Fan Wu, Chenhuan Zhang, Rui Chen, Zhanying Chu, Bin Han, Rui Zhai
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引用次数: 0

摘要

先进的液相色谱-质谱(LC-MS)和自动化的大规模数据处理使得基于质谱的定量分析在生物学、医学、食品安全等领域的研究中越来越有用。这是因为基于质谱的定量分析可以在一次实验中准确、灵敏地分析数千种蛋白质和多肽。然而,由于分析环境和分析物的物理化学特性的变化,传统定量方法的精度、覆盖范围、复杂性和弹性有所不同。因此,样品制备需要专门设计的方法。基于稳定同位素标记或等压标记的数十种方法已被开发并适应这些需求,每种方法都具有不同的特点。在这篇综述中,我们将总结迄今为止用于基于质谱的蛋白质定量的主要策略和技术,并分析不同方法的优缺点。此外,我们还概述了蛋白质计量学的发展。
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Research Progress in Isotope Labeling/Tags-Based Protein Quantification and Metrology Technologies.

Advanced liquid chromatogram-mass spectrometry (LC-MS) and automated large-scale data processing have made MS-based quantitative analysis increasingly useful for research in fields such as biology, medicine, food safety, and beyond. This is because MS-based quantitative analysis can accurately and sensitively analyze thousands of proteins and peptides in a single experiment. However, the precision, coverage, complexity, and resilience of conventional quantification methods vary as a result of the modifications to the analytic environment and the physicochemical characteristics of analytes. Therefore, specially designed approaches are necessary for sample preparation. Dozens of methods have been developed and adapted for these needs based on stable isotopic labeling or isobaric tagging, each with distinct characteristics. In this review, we will summarize the leading strategies and techniques used thus far for MS-based protein quantification as well as analyze the advantages and shortcomings of different approaches. Additionally, we provide an overview of protein metrology development.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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