数字农科院2.0

Research Progress in Isotope Labeling/Tags-Based Protein Quantification and Metrology Technologies

文献类型： 外文期刊

作者： Wu, Fan;Zhang, Chenhuan;Chen, Rui;Chu, Zhanying;Han, Bin;Zhai, Rui

作者机构：

关键词： mass spectrometry;protein quantification;stable isotope labeling;isobaric tagging;proteinmetrology

期刊名称： JOURNAL OF PROTEOME RESEARCH

ISSN： 1535-3893

年卷期： 2024 年

页码：

收录情况： SCIE（2024版）

摘要： 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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