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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
A robust method for quantitative high-throughput analysis of proteomes by 18O labeling.
Elena Bonzon-Kulichenko1, Daniel Pérez-Hernández, Estefanía Núñez
1Laboratory of Protein Chemistry and Proteomics, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, E-28049, Spain.
Molecular & Cellular Proteomics : MCP
|September 3, 2010
Summary
This study introduces a refined high-throughput quantitative proteomics method using oxygen-18 (18O) labeling. The improved protocol offers a statistically validated approach for analyzing protein expression changes in biological samples.
Area of Science:
- Proteomics
- Mass Spectrometry
- Biotechnology
Background:
- Mass spectrometry-based quantitative proteomics is crucial for biological and medical research.
- Developing universally applicable, high-throughput techniques, especially for oxygen-18 (18O) labeling, remains a challenge.
- Statistical validation of quantitative proteomics methods needs further investigation.
Purpose of the Study:
- To present an improved high-throughput quantitative proteomics method utilizing whole proteome concentration, in-gel digestion, and 18O-labeling.
- To demonstrate the compatibility of off-gel isoelectric focusing with 18O peptide labeling across all pH ranges.
- To validate the statistical robustness and practical utility of the developed protocol.
Main Methods:
- Whole proteome concentration via SDS-PAGE.
- Optimized in-gel digestion and peptide 18O-labeling.
- Off-gel isoelectric focusing followed by liquid chromatography-LIT-MS separation.
Main Results:
- The off-gel technique is fully compatible with 18O peptide labeling.
- A statistical model confirmed that partial digestion and methionine oxidation do not impact protein quantification.
- Variances at scan, peptide, and protein levels are stable and reproducible across diverse proteomes.
- The method successfully detected expression changes in activated Jurkat T-cells.
Conclusions:
- The developed protocol provides a general, high-throughput approach for quantitative proteomics using 18O-labeling.
- The method is supported by a validated statistical model for the null hypothesis.
- This work represents the first report of a general stable isotope labeling protocol tested with multiple samples and detailed statistical analysis.
