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• Kremling, A
• Goehler, A
• Jahreis, K
• Nees, M
• Auerbach, B
• Schmidt-Heck, W
• Kökpinar, Ö
• Geffers, R
• Rinas, U
• Bettenbrock, K
• [+] on Google Scholar
• Kremling, A
• Goehler, A
• Jahreis, K
• Nees, M
• Auerbach, B
• Schmidt-Heck, W
• Kökpinar, Ö
• Geffers, R
• Rinas, U
• Bettenbrock, K
• [+] on PubMed
• Kremling, A
• Goehler, A
• Jahreis, K
• Nees, M
• Auerbach, B
• Schmidt-Heck, W
• Kökpinar, Ö
• Geffers, R
• Rinas, U
• Bettenbrock, K

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Metabolites 2012, 2(4), 844-871; doi:10.3390/metabo2040844

Article

Analysis and Design of Stimulus Response Curves of E. coli

Andreas Kremling ^1,* , Anna Goehler ² , Knut Jahreis ² , Markus Nees ³ , Benedikt Auerbach ¹ , Wolfgang Schmidt-Heck ⁴ , Öznur Kökpinar ^5,6 , Robert Geffers ⁵ , Ursula Rinas ^5,6  and Katja Bettenbrock ³

¹ Systems Biotechnology, Technische Universität München, Boltzmannstr. 15, Garching b. München, Germany ² University Osnabrück, Barbarastrasse 11, Osnabrück, Germany ³ Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany ⁴ Hans Knoell Institute, Beutenbergstrasse 11a, Jena, Germany ⁵ Helmholtz Center for Infection Research, Inhoffenstr. 7, Braunschweig, Germany ⁶ Institute of Technical Chemistry-Life Science, Leibniz University of Hannover, Callinstr. 5, Hannover, Germany

* Author to whom correspondence should be addressed.

Received: 17 October 2012 / Accepted: 29 October 2012 / Published: 12 November 2012

(This article belongs to the Special Issue Metabolism and Systems Biology)

Download PDF Full-Text [384 KB, uploaded 12 November 2012 12:01 CET]

Abstract: 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, signalling 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.

Keywords: carbohydrate uptake; Escherichia coli; network component analysis; feedforward control; parameter estimation; gene regulatory network

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