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Updated: Apr 19, 2026

Quantitative Proteomics Workflow using Multiple Reaction Monitoring Based Detection of Proteins from Human Brain Tissue
Published on: August 28, 2021
Recent advances in targeted proteomics for clinical applications.
Bruno Domon1, Sebastien Gallien
1Luxembourg Clinical Proteomics Center (LCP), CRP-Santé, Strassen, Luxembourg.
Parallel Reaction Monitoring (PRM) offers enhanced data quality and consistency for biomarker evaluation in clinical proteomics. This high-resolution mass spectrometry technique overcomes limitations of traditional SRM methods, improving throughput for clinical studies.
Area of Science:
- Proteomics
- Biomarker Discovery
- Mass Spectrometry
Background:
- Targeted mass spectrometry (MS) methods are crucial for clinical biomarker evaluation.
- Selected Reaction Monitoring (SRM) on triple quadrupole instruments is the current standard but faces challenges with complex samples and high analytical demands.
- Workflow segmentation partially addresses these issues but has limitations.
Purpose of the Study:
- To discuss the attributes and implications of Parallel Reaction Monitoring (PRM) for biomarker evaluation.
- To highlight the benefits of PRM in overcoming limitations of traditional SRM methods.
- To assess the impact of PRM on data quality, result consistency, and clinical study throughput.
Main Methods:
- Utilized targeted high-resolution and accurate-mass analyses.
- Employed fast sequencing mass spectrometers operated in Parallel Reaction Monitoring (PRM) mode.
- Discussed experimental design, execution, and data analysis specific to PRM.
Main Results:
- PRM offers significant improvements in data quality and consistency compared to SRM.
- The technique addresses limitations associated with complex clinical samples and high analytical demands.
- PRM demonstrates potential for increased throughput in clinical biomarker studies.
Conclusions:
- PRM represents a significant advancement for clinical proteomics and biomarker evaluation.
- The technique provides a more robust and efficient approach compared to traditional SRM.
- PRM facilitates progress in clinical studies by enhancing data quality and output.
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