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Updated: Jun 27, 2026
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Quantitative mass spectrometry-based techniques for clinical use: biomarker identification and quantification.
Kathryn L Simpson1, Anthony D Whetton, Caroline Dive
1Paterson Institute for Cancer Research, University of Manchester, Wilmslow Road, Manchester, M20 4BX, United Kingdom. KSimpson@PICR.man.ac.uk
Summary
Personalized medicine advances with novel biomarker discovery using mass spectrometry (MS). MS techniques overcome challenges in analyzing blood proteins for improved patient care and disease diagnosis.
Area of Science:
- Clinical proteomics
- Biomarker discovery
- Mass spectrometry applications
Background:
- Personalized medicine holds promise for enhanced patient care through novel biomarker identification.
- Blood-derived biomarkers (plasma, serum) are highly sought after due to ease of sampling.
- Significant advancements in mass spectrometry (MS), separation techniques, and bioinformatics are enabling high-throughput proteomic analysis.
Purpose of the Study:
- To review MS-based methods for clinical proteomic analysis.
- To highlight progress and challenges in biomarker discovery and validation.
- To discuss the potential of MS in advancing personalized medicine.
Main Methods:
- High-throughput mass spectrometry for protein identification and quantification.
- Liquid phase analyte separation techniques.
- Bioinformatic tools for data analysis.
- Sensitive MS-based methods for biomarker validation, potentially bypassing antibody requirements.
Main Results:
- MS techniques can overcome the dynamic range challenges in plasma proteome analysis.
- Deep mining of the blood proteome is feasible for identifying novel biomarker signatures.
- MS-based validation offers a potential solution to the antibody bottleneck in large-scale screening.
Conclusions:
- Mass spectrometry is a powerful tool for identifying and validating novel biomarkers for personalized medicine.
- Overcoming current challenges will facilitate the clinical application of proteomic discoveries.
- Continued research in MS-based clinical proteomics is crucial for advancing patient care.
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