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Metabolomic and transcriptomic stress response of Escherichia coli
Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expressi...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890322/ https://www.ncbi.nlm.nih.gov/pubmed/20461071 http://dx.doi.org/10.1038/msb.2010.18 |
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author | Jozefczuk, Szymon Klie, Sebastian Catchpole, Gareth Szymanski, Jedrzej Cuadros-Inostroza, Alvaro Steinhauser, Dirk Selbig, Joachim Willmitzer, Lothar |
author_facet | Jozefczuk, Szymon Klie, Sebastian Catchpole, Gareth Szymanski, Jedrzej Cuadros-Inostroza, Alvaro Steinhauser, Dirk Selbig, Joachim Willmitzer, Lothar |
author_sort | Jozefczuk, Szymon |
collection | PubMed |
description | Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expression. Here, we incorporate the metabolite composition together with gene expression data to provide a more comprehensive insight on system level stress adjustments by describing detailed time-resolved E. coli response to five different perturbations (cold, heat, oxidative stress, lactose diauxie, and stationary phase). The metabolite response is more specific as compared with the general response observed on the transcript level and is reflected by much higher specificity during the early stress adaptation phase and when comparing the stationary phase response to other perturbations. Despite these differences, the response on both levels still follows the same dynamics and general strategy of energy conservation as reflected by rapid decrease of central carbon metabolism intermediates coinciding with downregulation of genes related to cell growth. Application of co-clustering and canonical correlation analysis on combined metabolite and transcript data identified a number of significant condition-dependent associations between metabolites and transcripts. The results confirm and extend existing models about co-regulation between gene expression and metabolites demonstrating the power of integrated systems oriented analysis. |
format | Text |
id | pubmed-2890322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | European Molecular Biology Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-28903222010-06-24 Metabolomic and transcriptomic stress response of Escherichia coli Jozefczuk, Szymon Klie, Sebastian Catchpole, Gareth Szymanski, Jedrzej Cuadros-Inostroza, Alvaro Steinhauser, Dirk Selbig, Joachim Willmitzer, Lothar Mol Syst Biol Article Environmental fluctuations lead to a rapid adjustment of the physiology of Escherichia coli, necessitating changes on every level of the underlying cellular and molecular network. Thus far, the majority of global analyses of E. coli stress responses have been limited to just one level, gene expression. Here, we incorporate the metabolite composition together with gene expression data to provide a more comprehensive insight on system level stress adjustments by describing detailed time-resolved E. coli response to five different perturbations (cold, heat, oxidative stress, lactose diauxie, and stationary phase). The metabolite response is more specific as compared with the general response observed on the transcript level and is reflected by much higher specificity during the early stress adaptation phase and when comparing the stationary phase response to other perturbations. Despite these differences, the response on both levels still follows the same dynamics and general strategy of energy conservation as reflected by rapid decrease of central carbon metabolism intermediates coinciding with downregulation of genes related to cell growth. Application of co-clustering and canonical correlation analysis on combined metabolite and transcript data identified a number of significant condition-dependent associations between metabolites and transcripts. The results confirm and extend existing models about co-regulation between gene expression and metabolites demonstrating the power of integrated systems oriented analysis. European Molecular Biology Organization 2010-05-11 /pmc/articles/PMC2890322/ /pubmed/20461071 http://dx.doi.org/10.1038/msb.2010.18 Text en Copyright © 2010, EMBO and Macmillan Publishers Limited https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. Creation of derivative works is permitted but the resulting work may be distributed only under the same or similar licence to this one. This licence does not permit commercial exploitation without specific permission. |
spellingShingle | Article Jozefczuk, Szymon Klie, Sebastian Catchpole, Gareth Szymanski, Jedrzej Cuadros-Inostroza, Alvaro Steinhauser, Dirk Selbig, Joachim Willmitzer, Lothar Metabolomic and transcriptomic stress response of Escherichia coli |
title | Metabolomic and transcriptomic stress response of Escherichia coli |
title_full | Metabolomic and transcriptomic stress response of Escherichia coli |
title_fullStr | Metabolomic and transcriptomic stress response of Escherichia coli |
title_full_unstemmed | Metabolomic and transcriptomic stress response of Escherichia coli |
title_short | Metabolomic and transcriptomic stress response of Escherichia coli |
title_sort | metabolomic and transcriptomic stress response of escherichia coli |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890322/ https://www.ncbi.nlm.nih.gov/pubmed/20461071 http://dx.doi.org/10.1038/msb.2010.18 |
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