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Analysis and Design of Stimulus Response Curves of E. coli
Metabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signaling components and extracellular metab...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901224/ https://www.ncbi.nlm.nih.gov/pubmed/24957765 http://dx.doi.org/10.3390/metabo2040844 |
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author | Kremling, Andreas Goehler, Anna Jahreis, Knut Nees, Markus Auerbach, Benedikt Schmidt-Heck, Wolfgang Kökpinar, Öznur Geffers, Robert Rinas, Ursula Bettenbrock, Katja |
author_facet | Kremling, Andreas Goehler, Anna Jahreis, Knut Nees, Markus Auerbach, Benedikt Schmidt-Heck, Wolfgang Kökpinar, Öznur Geffers, Robert Rinas, Ursula Bettenbrock, Katja |
author_sort | Kremling, Andreas |
collection | PubMed |
description | Metabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signaling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the results, prediction for intracelluar metabolite concentrations over a broad range of the growth rate could be performed and compared with data from literature. |
format | Online Article Text |
id | pubmed-3901224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-39012242014-05-27 Analysis and Design of Stimulus Response Curves of E. coli Kremling, Andreas Goehler, Anna Jahreis, Knut Nees, Markus Auerbach, Benedikt Schmidt-Heck, Wolfgang Kökpinar, Öznur Geffers, Robert Rinas, Ursula Bettenbrock, Katja Metabolites Article Metabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signaling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the results, prediction for intracelluar metabolite concentrations over a broad range of the growth rate could be performed and compared with data from literature. MDPI 2012-11-12 /pmc/articles/PMC3901224/ /pubmed/24957765 http://dx.doi.org/10.3390/metabo2040844 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Kremling, Andreas Goehler, Anna Jahreis, Knut Nees, Markus Auerbach, Benedikt Schmidt-Heck, Wolfgang Kökpinar, Öznur Geffers, Robert Rinas, Ursula Bettenbrock, Katja Analysis and Design of Stimulus Response Curves of E. coli |
title | Analysis and Design of Stimulus Response Curves of E. coli |
title_full | Analysis and Design of Stimulus Response Curves of E. coli |
title_fullStr | Analysis and Design of Stimulus Response Curves of E. coli |
title_full_unstemmed | Analysis and Design of Stimulus Response Curves of E. coli |
title_short | Analysis and Design of Stimulus Response Curves of E. coli |
title_sort | analysis and design of stimulus response curves of e. coli |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901224/ https://www.ncbi.nlm.nih.gov/pubmed/24957765 http://dx.doi.org/10.3390/metabo2040844 |
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