LogViewer: a software tool to visualize quality control parameters to optimize proteomics experiments using Orbitrap...

Area of Science:

• Proteomics
• Analytical Chemistry
• Biotechnology

Background:

• Mass spectrometry data acquisition requires optimization and quality control (QC) for accurate results.
• Existing visualization tools for mass spectrometry data are limited and often not freely available.
• Efficient QC before database searching is crucial to save time and resources.

Purpose of the Study:

• To develop a freely available visualization tool, LogViewer, for mass spectrometry data.
• To enable rapid quality control (QC) and instrument parameter optimization for Thermo Orbitrap and LTQ-FT mass spectrometers.
• To improve protein identification rates through systematic optimization of QC metrics.

Main Methods:

• Developed LogViewer, a visualization tool utilizing diagnostic data from RAW files.
• Imported and displayed log files from RawXtract for performance summarization.
• Monitored key QC metrics including ion-injection times, retention times, charge states, and mass distributions.

Main Results:

• LogViewer provides fast and specific QC for mass spectrometry samples.
• Systematic optimization using LogViewer increased protein identification from 600 to 1400 in complex mixtures.
• Achieved a false discovery rate of less than 1% for protein identifications.

Conclusions:

• LogViewer enhances accessibility to QC and instrument optimization for complex LC-MS/MS data.
• The tool facilitates improved efficiency and accuracy in proteomics research.
• LogViewer empowers users to achieve higher protein identification yields.