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Updated: Jul 18, 2026

09:04
Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
A review of quantitative methods for proteomic studies
1Department of Chemistry & Biochemistry, and Marlene & Stewart Greenebaum Cancer Center, University of Maryland, College Park, MD 20742, USA. fenselau@umd.edu
Summary
This study overviews six proteomic strategies for protein quantitation, detailing their strengths and limitations. These methods measure protein and peptide abundances, not direct changes in regulation or expression.
Area of Science:
- Proteomics
- Biochemistry
- Analytical Chemistry
Background:
- Accurate protein quantitation is crucial for understanding biological processes.
- Various methods exist for measuring protein abundance in complex biological samples.
Purpose of the Study:
- To provide an overview of six widely used protein quantitation strategies in proteomics.
- To discuss the strengths and limitations of each method for relative or absolute quantitation.
- To clarify that these strategies measure abundance, not direct regulatory or expression changes.
Main Methods:
- Stable isotope labeling and mass spectrometry (MS) for isotope ratio measurements (four methods).
- Deconvolution of overlapping peptide High-Performance Liquid Chromatography (HPLC) peaks using mass spectra for relative quantitation.
- Two-dimensional gel electrophoresis (2-D PAGE) arrays for relative protein abundance determination.
Main Results:
- Detailed discussion of the strengths and limitations of each of the six quantitation strategies.
- Identification of four MS-based methods utilizing stable isotopes.
- Description of non-MS methods including HPLC peak deconvolution and 2-D gel arrays.
Conclusions:
- The discussed strategies are valuable tools for measuring protein and peptide abundances.
- It is essential to recognize that these methods quantify abundance, not direct changes in gene regulation or expression.
- Selection of an appropriate quantitation strategy depends on specific research needs and experimental design.

