QSample: An Automated System for Rapid Monitoring of Quality Indicators in Proteomics Samples

Area of Science:

• Biomedicine
• Analytical Chemistry
• Proteomics

Background:

• Mass spectrometry-based proteomics is crucial for quantitative, sensitive, and rapid proteome analysis in biomedicine.
• Large-scale proteomics experiments are increasingly common in core facilities, necessitating robust quality control.
• Current quality control methods often analyze experimental samples post-acquisition, delaying crucial decisions and potentially compromising data integrity.

Purpose of the Study:

• To develop an automated system, QSample, for real-time monitoring of quality indicators in proteomics samples during data acquisition.
• To enhance the quality control framework in proteomics core facilities.
• To facilitate prompt actions and rapid decision-making to ensure data integrity and adherence to best research practices.

Main Methods:

• Development of QSample, an open-source automated system.
• Implementation of real-time monitoring of quality indicators during mass spectrometry data collection.
• Integration into proteomics core facility workflows.

Main Results:

• QSample enables rapid monitoring of quality indicators in proteomics samples.
• The system facilitates prompt actions and fast decision-making during data collection.
• Enhances the overall quality control framework for proteomics experiments.

Conclusions:

• QSample addresses the need for timely quality assessment in large-scale proteomics.
• The system ensures that proteomics core facilities can deliver high-quality data.
• Promotes adherence to best research practices through automated, real-time quality control.