期刊
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
卷 550, 期 -, 页码 37-42出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.bbrc.2021.02.101
关键词
GeLC-MS; MS; LC-MS; Stable isotope dimethyl labeling
资金
- Ministry of Education, Culture, Sports, Science and Technology, Japan [17KK0141, 17K19926, 17H02206, 18K06467]
- All Kitasato Project Study (AKPS)
- Grants-in-Aid for Scientific Research [17KK0141, 17H02206, 17K19926, 18K06467] Funding Source: KAKEN
GeLC-MS/MS method coupled with stable isotope dimethyl labeling provides high accuracy and comprehensive peptide comparisons, enabling accurate determination of peptide abundance ratio between samples, unaffected by the reproducibility of gel extraction or LC-MS procedures, thus facilitating the detection of proteolysis events.
Shotgun proteomics is a powerful method for comprehensively identifying and quantifying tryptic peptides, but it is difficult to analyze proteolytic events. One-dimensional gel and liquid chromatography-tandem mass spectrometry (GeLC-MS/MS) enables the separation of proteolytic fragments using SDS-PAGE followed by identification using LC-MS/MS. GeLC-MS/MS is thus an excellent method for identifying fragmentation. However, the lower reproducibility of gel extraction and nano flow LC-MS/MS can produce inaccurate results in comparative analyses of protein quantification among samples. In this study, a novel GeLC-MS/MS method coupled with stable isotope dimethyl labeling was developed. In the method, a mixture of light-and heavy-labeled samples is loaded onto an SDS-PAGE gel, and proteins with different isotopes in one extracted band are quantitatively analyzed by one-shot injection. This procedure enables accurate determination of the abundance ratio of peptides between two samples, even in cases of low peptide abundance, and it is not affected by the reproducibility of the gel extraction or LC-MS procedures. Therefore, our new GeLC-MS/MS method coupled with stable isotope dimethyl labeling provides high accuracy and comprehensive peptide comparisons, enabling the detection of proteolysis events caused by disease or physiological processes. (c) 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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