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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...

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Autores principales: Kremling, Andreas, Goehler, Anna, Jahreis, Knut, Nees, Markus, Auerbach, Benedikt, Schmidt-Heck, Wolfgang, Kökpinar, Öznur, Geffers, Robert, Rinas, Ursula, Bettenbrock, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
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.
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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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