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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
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Protein Biomarker Quantification by Immunoaffinity Liquid Chromatography-Tandem Mass Spectrometry: Current State and
Hendrik Neubert1, Christopher M Shuford2, Timothy V Olah3
1Pfizer Worldwide Research and Development, Andover, MA.
Clinical Chemistry
|February 11, 2020
Summary
Immunoaffinity-mass spectrometry (IA-MS) offers sensitive and specific protein biomarker quantification. This hybrid method, combining affinity capture with mass spectrometry, enables previously unattainable measurements, particularly in early clinical development.
Area of Science:
- Analytical Chemistry
- Biomarker Discovery
- Proteomics
Background:
- Immunoaffinity-mass spectrometry (IA-MS) is an emerging analytical technique.
- It combines affinity capture (similar to ligand binding assays) with mass spectrometry detection, often termed hybrid methods.
- IA-MS offers advantages for profiling and determining protein biomarkers.
Purpose of the Study:
- To provide an overview of IA-MS principles.
- To demonstrate the unique power and potential of IA-MS through applications.
- To discuss barriers and opportunities for expanded IA-MS adoption.
Main Methods:
- Combines target immunoaffinity enrichment with stable isotope-labeled internal standards.
- Utilizes mass spectrometry for sensitive and specific detection.
- Applies IA-MS for quantification of protein biomarkers in biological samples.
Main Results:
- IA-MS achieves high sensitivity and unparalleled specificity for protein biomarker quantification.
- Significant uptake in the pharmaceutical industry for early clinical development has enabled previously unattainable biomarker measurements.
- Slower adoption by CLIA laboratories presents barriers and opportunities.
Conclusions:
- IA-MS is a powerful technology for protein biomarker quantification.
- Addressing barriers and identifying optimal applications will expand IA-MS use in clinical settings.
- Continued advances in reagents and MS technology will further enhance IA-MS capabilities for clinical applications.
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