4.5 Article

Combining label-free and label-based accurate quantifications with SWATH-MS: Comparison with SRM and PRM for the evaluation of bovine muscle type effects

期刊

PROTEOMICS
卷 21, 期 10, 页码 -

出版社

WILEY
DOI: 10.1002/pmic.202000214

关键词

beef meat quality; data‐ independent acquisition (DIA); quantitative MS; SWATH‐ MS; targeted proteomics

资金

  1. French Ministry of Science
  2. INRAE-Phase Division (RefQuant project)
  3. French Proteomic Infrastructure (ProFI) [ANR-10-INBS-08-03]

向作者/读者索取更多资源

Mass spectrometry is a valuable tool for protein quantification, with SWATH-MS outperforming SRM in sensitivity and dynamic range, while PRM remains the best performer. An original label-free quantification method on SWATH-MS provided a comprehensive analysis of muscle proteomes and further insights into the effects of muscle type on candidate biomarkers of beef qualities and muscle metabolism.
Mass spectrometry has proven to be a valuable tool for the accurate quantification of proteins. In this study, the performances of three targeted approaches, namely selected reaction monitoring (SRM), parallel reaction monitoring (PRM) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS), to accurately quantify ten potential biomarkers of beef meat tenderness or marbling in a cohort of 64 muscle samples were evaluated. So as to get the most benefit out of the complete MS2 maps that are acquired in SWATH-MS, an original label-free quantification method to estimate protein amounts using an I-spline regression model was developed. Overall, SWATH-MS outperformed SRM in terms of sensitivity and dynamic range, while PRM still performed the best, and all three strategies showed similar quantification accuracies and precisions for the absolute quantification of targets of interest. This targeted picture was extended by 585 additional proteins for which amounts were estimated using the label-free approach on SWATH-MS; thus, offering a more global profiling of muscle proteomes and further insights into muscle type effect on candidate biomarkers of beef meat qualities as well as muscle metabolism.

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