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Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling
Henock M Deberneh1, Rovshan G Sadygov1
1Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas77555, United States.
Journal of Proteome Research
|January 24, 2023
Summary
Retention time alignment improves peptide identification in proteome turnover studies using heavy water labeling. This method enhances data analysis by enabling matched between runs transfers, boosting coverage, especially for longer experiments.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Retention time (RT) alignment is crucial for accurate protein identification and quantification in mass spectrometry-based proteomics.
- Matched between runs (MBR) is an approach that leverages RT alignment to transfer peptide identifications across experiments, enhancing data completeness.
- RT alignment has not been widely applied to quantitative proteomics studies involving stable isotope labeling, such as metabolic labeling with deuterium oxide (D2O).
Purpose of the Study:
- To develop and evaluate an approach integrating RT alignment with peptide quantification for proteome turnover studies using D2O metabolic labeling.
- To improve the reliability and coverage of peptide identification and quantification in D2O-labeled proteomic experiments.
Main Methods:
- Utilized correlation-optimized time warping for RT alignment of liquid chromatography-mass spectrometry (LC-MS) data.
- Integrated RT alignment with the matched between runs (MBR) strategy for peptide transfer and quantification.
- Applied the approach to analyze proteome turnover in samples labeled with deuterium oxide (D2O).
Main Results:
- The integrated RT alignment and MBR approach significantly improved labeling time point coverage.
- The method demonstrated particular effectiveness for experiments with long labeling durations.
- Enhanced the ability to identify and quantify peptides in D2O-labeled samples, addressing challenges posed by altered isotope profiles.
Conclusions:
- Incorporating RT alignment with MBR is a valuable strategy for robust proteome turnover analysis using D2O metabolic labeling.
- This approach enhances the efficiency and comprehensiveness of quantitative proteomics, particularly for dynamic biological processes.
- The developed method facilitates more accurate insights into protein dynamics and metabolic pathways.

