ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS).
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Protein turnover models for LC-MS data of heavy water metabolic labeling.Briefings in bioinformatics · 2022Article
- Proteome Dynamics from Heavy Water Metabolic Labeling and Peptide Tandem Mass Spectrometry.International journal of mass spectrometry · 2019Article
- Timing Is Everything: Tandem Fluorescent Timers Expand Our Understanding of Protein Longevity.Plant physiology · 2019Article
- Tandem Fluorescent Protein Timers for Noninvasive Relative Protein Lifetime Measurement in Plants.Plant physiology · 2019Article
- Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.Journal of proteomics · 2018Review
- Stable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells.Molecular & cellular proteomics : MCP · 2018Article
- Protein Turnover in Aging and Longevity.Proteomics · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Protein turnover represents an important mechanism in the functioning of cells, with deregulated synthesis and degradation of proteins implicated in many diseased states. Therefore, proteomics strategies to measure turnover rates with high confidence are of vital importance to understanding many biological processes. In this study, the more widely used approach of non-targeted precursor ion signal intensity (MS1) quantification is compared with selected reaction monitoring (SRM), a data acquisition strategy that records data for specific peptides, to determine if improved quantitative data would be obtained using a targeted quantification approach. Using mouse liver as a model system, turnover measurement of four tricarboxylic acid cycle proteins was performed using both MS1 and SRM quantification strategies. SRM outperformed MS1 in terms of sensitivity and selectivity of measurement, allowing more confident determination of protein turnover rates. SRM data are acquired using cheaper and more widely available tandem quadrupole mass spectrometers, making the approach accessible to a larger number of researchers than MS1 quantification, which is best performed on high mass resolution instruments. SRM acquisition is ideally suited to focused studies where the turnover of tens of proteins is measured, making it applicable in determining the dynamics of proteins complexes and complete metabolic pathways.This article is part of the themed issue 'Quantitative mass spectrometry'.
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