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Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection
Jordan Currie1,2, Dominic C M Ng1,2, Boomathi Pandi1,2
1Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado 80045, United States.
This study introduces a new method for analyzing protein turnover using heavy water labeling and mass spectrometry. The approach improves the accuracy and coverage of protein synthesis and degradation rate measurements in proteome-wide studies.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Protein synthesis and degradation are crucial for gene expression.
- Measuring protein turnover rates is essential but analytically challenging.
- Existing methods for deuterium labeling mass spectrometry require refined analytical approaches.
Purpose of the Study:
- To develop an improved method for calculating protein synthesis rates from heavy water labeling mass spectrometry data.
- To enhance the accuracy and coverage of peptide analysis in protein turnover studies.
- To provide a robust computational workflow for proteome-wide protein kinetics.
Main Methods:
- A novel method combining nearest lookup of peptide isotope envelopes and rule-based selection of mass isotopomer pairs.
- Validation using a calibration standard of unlabeled and labeled proteomes.
- Reanalysis of 17 proteome-wide turnover experiments across four mouse organs.
Main Results:
- The new method significantly increases the coverage of well-fitted peptides in protein turnover experiments by up to 58 ± 13%.
- Demonstrated improved accuracy in calculating the molar fraction of new peptide synthesis.
- The Riana software tool implements this workflow for practical application.
Conclusions:
- The developed method enhances the analysis of protein synthesis and degradation kinetics.
- This approach improves the reliability and scope of proteome-wide protein turnover studies.
- The Riana tool facilitates advanced research into protein dynamics in biological systems.
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