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Proteome Birthdating: A Single-Sample Approach for Measuring Global Turnover Dynamics and "Protein Age"
Michael E Meadow1,2, Sarah Broas1, Margaret Hoare1
1Department of Biology, University of Rochester, NY, USA.
Bio-Protocol
|May 14, 2025
Summary
Proteome birthdating is a new technique that labels proteins by their synthesis time, allowing researchers to study protein age and turnover. This method helps explore how protein age affects cellular pathways and disease states.
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Proteins exhibit diverse half-lives, leading to a wide range of molecular ages within cells.
- The influence of protein age on cellular interactions remains poorly understood.
- Studying protein age distributions and turnover is crucial for understanding cellular dynamics.
Purpose of the Study:
- To introduce and provide a practical guide for the proteome birthdating technique.
- To enable the analysis of protein age distributions and turnover kinetics.
- To facilitate investigations into the role of protein age in cellular pathways and disease.
Main Methods:
- Proteome birthdating involves differential labeling of proteins based on their synthesis time using isotopically labeled precursors.
- The technique utilizes tandem mass spectrometry (LC-MS/MS) for analyzing age distributions.
- The workflow includes cell culture, isotopic labeling, protein extraction, enzymatic digestion, peptide cleanup, mass spectrometry, and data processing.
Main Results:
- Proteome birthdating provides a method to barcode the proteome with age-specific isotopic labels.
- Global protein turnover kinetics can be determined from single, sequentially labeled samples.
- Age distributions of specific protein subsets (e.g., ubiquitinated proteins) can be analyzed.
Conclusions:
- Proteome birthdating is a versatile tool for studying protein age and turnover.
- The technique allows for the investigation of age selectivity in protein properties, cellular pathways, and disease states.
- This methodology opens new avenues for exploring the functional significance of protein age in biology.
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