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Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)

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 bio...

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Detalles Bibliográficos
Autores principales: Holman, Stephen W., Hammond, Dean E., Simpson, Deborah M., Waters, John, Hurst, Jane L., Beynon, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031629/
https://www.ncbi.nlm.nih.gov/pubmed/27644981
http://dx.doi.org/10.1098/rsta.2015.0362
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author Holman, Stephen W.
Hammond, Dean E.
Simpson, Deborah M.
Waters, John
Hurst, Jane L.
Beynon, Robert J.
author_facet Holman, Stephen W.
Hammond, Dean E.
Simpson, Deborah M.
Waters, John
Hurst, Jane L.
Beynon, Robert J.
author_sort Holman, Stephen W.
collection PubMed
description 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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spelling pubmed-50316292016-10-28 Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS) Holman, Stephen W. Hammond, Dean E. Simpson, Deborah M. Waters, John Hurst, Jane L. Beynon, Robert J. Philos Trans A Math Phys Eng Sci Articles 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’. The Royal Society 2016-10-28 /pmc/articles/PMC5031629/ /pubmed/27644981 http://dx.doi.org/10.1098/rsta.2015.0362 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Holman, Stephen W.
Hammond, Dean E.
Simpson, Deborah M.
Waters, John
Hurst, Jane L.
Beynon, Robert J.
Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title_full Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title_fullStr Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title_full_unstemmed Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title_short Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM-MS)
title_sort protein turnover measurement using selected reaction monitoring-mass spectrometry (srm-ms)
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031629/
https://www.ncbi.nlm.nih.gov/pubmed/27644981
http://dx.doi.org/10.1098/rsta.2015.0362
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