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Quantitative analysis of chaperone network throughput in budding yeast

The network of molecular chaperones mediates the folding and translocation of the many proteins encoded in the genome of eukaryotic organisms, as well as a response to stress. It has been particularly well characterised in the budding yeast, Saccharomyces cerevisiae, where 63 known chaperones have b...

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Autores principales: Brownridge, Philip, Lawless, Craig, Payapilly, Aishwarya B, Lanthaler, Karin, Holman, Stephen W, Harman, Victoria M, Grant, Christopher M, Beynon, Robert J, Hubbard, Simon J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Inc 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791555/
https://www.ncbi.nlm.nih.gov/pubmed/23420633
http://dx.doi.org/10.1002/pmic.201200412
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author Brownridge, Philip
Lawless, Craig
Payapilly, Aishwarya B
Lanthaler, Karin
Holman, Stephen W
Harman, Victoria M
Grant, Christopher M
Beynon, Robert J
Hubbard, Simon J
author_facet Brownridge, Philip
Lawless, Craig
Payapilly, Aishwarya B
Lanthaler, Karin
Holman, Stephen W
Harman, Victoria M
Grant, Christopher M
Beynon, Robert J
Hubbard, Simon J
author_sort Brownridge, Philip
collection PubMed
description The network of molecular chaperones mediates the folding and translocation of the many proteins encoded in the genome of eukaryotic organisms, as well as a response to stress. It has been particularly well characterised in the budding yeast, Saccharomyces cerevisiae, where 63 known chaperones have been annotated and recent affinity purification and MS/MS experiments have helped characterise the attendant network of chaperone targets to a high degree. In this study, we apply our QconCAT methodology to directly quantify the set of yeast chaperones in absolute terms (copies per cell) via SRM MS. Firstly, we compare these to existing quantitative estimates of these yeast proteins, highlighting differences between approaches. Secondly, we cast the results into the context of the chaperone target network and show a distinct relationship between abundance of individual chaperones and their targets. This allows us to characterise the ‘throughput’ of protein molecules passing through individual chaperones and their groups on a proteome-wide scale in an unstressed model eukaryote for the first time. The results demonstrate specialisations of the chaperone classes, which display different overall workloads, efficiencies and preference for the sub-cellular localisation of their targets. The novel integration of the interactome data with quantification supports re-estimates of the level of protein throughout going through molecular chaperones. Additionally, although chaperones target fewer than 40% of annotated proteins we show that they mediate the folding of the majority of protein molecules (∼62% of the total protein flux in the cell), highlighting their importance.
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spelling pubmed-37915552013-10-08 Quantitative analysis of chaperone network throughput in budding yeast Brownridge, Philip Lawless, Craig Payapilly, Aishwarya B Lanthaler, Karin Holman, Stephen W Harman, Victoria M Grant, Christopher M Beynon, Robert J Hubbard, Simon J Proteomics Research Articles The network of molecular chaperones mediates the folding and translocation of the many proteins encoded in the genome of eukaryotic organisms, as well as a response to stress. It has been particularly well characterised in the budding yeast, Saccharomyces cerevisiae, where 63 known chaperones have been annotated and recent affinity purification and MS/MS experiments have helped characterise the attendant network of chaperone targets to a high degree. In this study, we apply our QconCAT methodology to directly quantify the set of yeast chaperones in absolute terms (copies per cell) via SRM MS. Firstly, we compare these to existing quantitative estimates of these yeast proteins, highlighting differences between approaches. Secondly, we cast the results into the context of the chaperone target network and show a distinct relationship between abundance of individual chaperones and their targets. This allows us to characterise the ‘throughput’ of protein molecules passing through individual chaperones and their groups on a proteome-wide scale in an unstressed model eukaryote for the first time. The results demonstrate specialisations of the chaperone classes, which display different overall workloads, efficiencies and preference for the sub-cellular localisation of their targets. The novel integration of the interactome data with quantification supports re-estimates of the level of protein throughout going through molecular chaperones. Additionally, although chaperones target fewer than 40% of annotated proteins we show that they mediate the folding of the majority of protein molecules (∼62% of the total protein flux in the cell), highlighting their importance. Blackwell Publishing Inc 2013-04 2013-03-15 /pmc/articles/PMC3791555/ /pubmed/23420633 http://dx.doi.org/10.1002/pmic.201200412 Text en © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Research Articles
Brownridge, Philip
Lawless, Craig
Payapilly, Aishwarya B
Lanthaler, Karin
Holman, Stephen W
Harman, Victoria M
Grant, Christopher M
Beynon, Robert J
Hubbard, Simon J
Quantitative analysis of chaperone network throughput in budding yeast
title Quantitative analysis of chaperone network throughput in budding yeast
title_full Quantitative analysis of chaperone network throughput in budding yeast
title_fullStr Quantitative analysis of chaperone network throughput in budding yeast
title_full_unstemmed Quantitative analysis of chaperone network throughput in budding yeast
title_short Quantitative analysis of chaperone network throughput in budding yeast
title_sort quantitative analysis of chaperone network throughput in budding yeast
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791555/
https://www.ncbi.nlm.nih.gov/pubmed/23420633
http://dx.doi.org/10.1002/pmic.201200412
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