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Updated: Jun 23, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Global quantitative proteomic profiling through 18O-labeling in combination with MS/MS spectra analysis.
Carl A White1, Nicodemus Oey, Andrew Emili
1Banting and Best Department of Medical Research, Terrence Donnelly Center for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada.
This study introduces a new method for accurate protein quantitation using MS/MS analysis and specialized software (ySelect, yRatios) for improved comparative proteomics. The developed toolkit enhances reliability in identifying significant protein abundance changes between biological samples.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Stable-isotope labeling enables relative protein quantitation in mass spectrometry.
- Current methods often use MS level quantitation, which can be limited.
- 18O-based labeling is a common technique for comparative proteomics.
Purpose of the Study:
- To demonstrate the accuracy and sensitivity of MS/MS level quantitation for 18O-based labeling.
- To introduce software tools (ySelect, yRatios) for streamlined data analysis.
- To validate a robust workflow for comparative proteomic quantitation.
Main Methods:
- Utilized trypsin-catalyzed 18O-based peptide labeling.
- Performed quantitation at the product ion (MS/MS) level.
- Developed and applied specialized software (ySelect, yRatios) for data analysis and ratio determination.
- Validated the approach using simple and complex protein mixtures with LC-MS/MS.
Main Results:
- MS/MS level quantitation demonstrated high accuracy, sensitivity, and signal-to-noise.
- Software tools enabled accurate protein ratio determination with correction for incomplete labeling.
- Ratio distributions approached expected means, allowing for statistically significant fold-change determination.
- Stringent criteria identified and minimized spurious ratios.
Conclusions:
- MS/MS quantitation combined with 18O-labeling offers a reliable method for comparative proteomics.
- The developed software toolkit facilitates routine and accurate analysis of proteomic data.
- This approach optimizes conditions for robust protein inference and identification of significant abundance changes.
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