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Related Experiment Video

Updated: Jul 30, 2025

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Comprehensive Evaluation and Optimization of the Data-Dependent LC-MS/MS Workflow for Deep Proteome Profiling.

Min Tang1, Peiwu Huang2, Lize Wu3

  • 1School of Biological Science and Medical Engineering & School of Engineering Medicine, Beihang University, Beijing 100191, China.

Analytical Chemistry
|May 10, 2023
PubMed
Summary

MSRefine evaluates liquid chromatography-tandem mass spectrometry (LC-MS/MS) performance using comprehensive metrics. This tool aids researchers in optimizing proteomics workflows for deeper proteome profiling and enhanced peptide and protein identification.

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biochemistry

Background:

  • Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a cornerstone of modern proteomics.
  • Current performance evaluations of LC-MS/MS workflows often rely on limited metrics like peptide and protein counts.
  • A comprehensive assessment is needed to fully understand and optimize complex LC-MS/MS workflows.

Purpose of the Study:

  • To develop MSRefine, a novel computational tool for evaluating and optimizing LC-MS/MS performance in data-dependent acquisition (DDA) proteomics.
  • To provide a comprehensive suite of metrics beyond simple identification counts.
  • To assist researchers in troubleshooting and improving their proteomics experiments.

Main Methods:

  • MSRefine extracts and analyzes 47 distinct metrics from LC-MS/MS data.
  • The tool scores these metrics and presents them through visual reports.
  • Performance evaluation involved comparative analysis of diverse datasets across different samples, methods, and instruments.

Main Results:

  • MSRefine successfully demonstrated its capability to evaluate diverse LC-MS/MS experiments.
  • Comprehensive visual metrics and scores provided actionable insights into workflow performance.
  • The tool identified areas for optimization, leading to strategies for increased peptide and protein identification.

Conclusions:

  • MSRefine offers a robust and comprehensive approach to LC-MS/MS performance evaluation in DDA proteomics.
  • The tool's detailed metrics and visualizations facilitate workflow optimization.
  • Utilizing MSRefine can significantly enhance the depth and quality of proteomic profiling.