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Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
Molecular chaperones play an important role in protein homeostasis and the cellular response to stress. In particular, the HSP70 chaperones in yeast mediate a large volume of protein folding through transient associations with their substrates. This chaperone interaction network can be disturbed by...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979674/ https://www.ncbi.nlm.nih.gov/pubmed/25689132 http://dx.doi.org/10.1002/pmic.201400527 |
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author | Jarnuczak, Andrew F. Eyers, Claire E. Schwartz, Jean‐Marc Grant, Christopher M. Hubbard, Simon J. |
author_facet | Jarnuczak, Andrew F. Eyers, Claire E. Schwartz, Jean‐Marc Grant, Christopher M. Hubbard, Simon J. |
author_sort | Jarnuczak, Andrew F. |
collection | PubMed |
description | Molecular chaperones play an important role in protein homeostasis and the cellular response to stress. In particular, the HSP70 chaperones in yeast mediate a large volume of protein folding through transient associations with their substrates. This chaperone interaction network can be disturbed by various perturbations, such as environmental stress or a gene deletion. Here, we consider deletions of two major chaperone proteins, SSA1 and SSB1, from the chaperone network in Sacchromyces cerevisiae. We employ a SILAC‐based approach to examine changes in global and local protein abundance and rationalise our results via network analysis and graph theoretical approaches. Although the deletions result in an overall increase in intracellular protein content, correlated with an increase in cell size, this is not matched by substantial changes in individual protein concentrations. Despite the phenotypic robustness to deletion of these major hub proteins, it cannot be simply explained by the presence of paralogues. Instead, network analysis and a theoretical consideration of folding workload suggest that the robustness to perturbation is a product of the overall network structure. This highlights how quantitative proteomics and systems modelling can be used to rationalise emergent network properties, and how the HSP70 system can accommodate the loss of major hubs. |
format | Online Article Text |
id | pubmed-4979674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49796742016-08-26 Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae Jarnuczak, Andrew F. Eyers, Claire E. Schwartz, Jean‐Marc Grant, Christopher M. Hubbard, Simon J. Proteomics Research Articles Molecular chaperones play an important role in protein homeostasis and the cellular response to stress. In particular, the HSP70 chaperones in yeast mediate a large volume of protein folding through transient associations with their substrates. This chaperone interaction network can be disturbed by various perturbations, such as environmental stress or a gene deletion. Here, we consider deletions of two major chaperone proteins, SSA1 and SSB1, from the chaperone network in Sacchromyces cerevisiae. We employ a SILAC‐based approach to examine changes in global and local protein abundance and rationalise our results via network analysis and graph theoretical approaches. Although the deletions result in an overall increase in intracellular protein content, correlated with an increase in cell size, this is not matched by substantial changes in individual protein concentrations. Despite the phenotypic robustness to deletion of these major hub proteins, it cannot be simply explained by the presence of paralogues. Instead, network analysis and a theoretical consideration of folding workload suggest that the robustness to perturbation is a product of the overall network structure. This highlights how quantitative proteomics and systems modelling can be used to rationalise emergent network properties, and how the HSP70 system can accommodate the loss of major hubs. John Wiley and Sons Inc. 2015-04-10 2015-09 /pmc/articles/PMC4979674/ /pubmed/25689132 http://dx.doi.org/10.1002/pmic.201400527 Text en © 2015 The Authors. PROTEOMICS published by Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Licence (http://creativecommons.org/licenses/by/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Jarnuczak, Andrew F. Eyers, Claire E. Schwartz, Jean‐Marc Grant, Christopher M. Hubbard, Simon J. Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae |
title | Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
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title_full | Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
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title_fullStr | Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
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title_full_unstemmed | Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
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title_short | Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae
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title_sort | quantitative proteomics and network analysis of ssa1 and ssb1 deletion mutants reveals robustness of chaperone hsp70 network in saccharomyces cerevisiae |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979674/ https://www.ncbi.nlm.nih.gov/pubmed/25689132 http://dx.doi.org/10.1002/pmic.201400527 |
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