Mass Spectrometry-based Deep Coverage Proteome: Evaluation of Cellular Protein Extraction Methods

被引:0
作者
Xu, Xia [1 ]
Qin, Weida [1 ]
Li, Ruomeng [1 ]
Wang, Qianqian [2 ]
Liu, Ning [2 ]
Li, Gongyu [1 ]
机构
[1] Nankai Univ, Coll Chem, Res Ctr Analyt Sci, Tianjin Key Lab Biosensing & Mol Recognit, Tianjin 300071, Peoples R China
[2] Nankai Univ, State Key Lab Med Chem Biol, Tianjin 300350, Peoples R China
来源
CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE | 2024年 / 45卷 / 11期
基金
中国国家自然科学基金;
关键词
Surfactant; Protein extraction; Proteomics; Mass spectrometry; SAMPLE PREPARATION; IDENTIFICATION; UNIVERSAL; STRATEGY; PROTOCOL;
D O I
10.7503/cjcu20240344
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The current study comprehensively evaluates four different protein extraction methods based on urea, sodium dodecyl sulfate(SDS), anionic surfactants(BT), and total RNA extractor(Trizol), aiming to optimize the sample preparation workflow for mass spectrometry-based proteomics. Using HeLa cells as an example, we found that the method employing the mass spectrometry-compatible surfactant BT reagent significantly reduces the total time consumed for protein extraction and minimizes protein losses during the sample preparation process. Further integrating the four protein extraction methods, we identified over 7000 proteins from HeLa cells without relying on pre-fractionation techniques, and 2990 of them were quantified using label-free quantification. It is worth noting that the BT and SDS methods demonstrate higher efficiency in extracting membrane proteins, while the Urea and Trizol methods are more effective in extracting proteins from nuclear and cytoplasmic fractions. In summary, this study provides a novel solution for deep proteome coverage, particularly in the context of cellular protein extraction, by integrating mass spectrometry-compatible surfactants with traditional extraction methods to effectively enhance protein identification numbers.
引用
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页数:10
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