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  Analysis of global control of Escherichia coli carbohydrate uptake

Kremling, A., Bettenbrock, K., & Gilles, E. D. (2007). Analysis of global control of Escherichia coli carbohydrate uptake. BMC Systems Biology, 1: 42. doi:10.1186/1752-0509-1-42.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-991D-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-8A3D-0
Genre: Journal Article

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eDoc_329739_2007.pdf (Publisher version), 396KB
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons. org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the orig inal work is properly cited

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 Creators:
Kremling, A.1, Author              
Bettenbrock, K.1, Author              
Gilles, E. D.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Global control influences the regulation of many individual subsystems by superimposed regulator proteins. A prominent example is the control of carbohydrate uptake systems by the transcription factor Crp in Escherichia coli. A detailed understanding of the coordination of the control of individual transporters offers possibilities to explore the potential of microorganisms e.g. in biotechnology. An o.d.e. based mathematical model is presented that maps a physiological parameter - the specific growth rate - to the sensor of the signal transduction unit, here a component of the bacterial phosphotransferase system (PTS), namely EIIA^Crr. The model describes the relation between the growth rate and the degree of phosphorylation of EIIA^Crr for a number of carbohydrates by a distinctive response curve, that differentiates between PTS transported carbohydrates and non-PTS carbohydrates. With only a small number of kinetic parameters, the model is able to describe a broad range of experimental steady-state and dynamical conditions. With a minor number of kinetic parameters, the model is able to describe a broad range of experimental steady-state and dynamical conditions.

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Language(s): eng - English
 Dates: 2007
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: eDoc: 329739
Other: 27/07
DOI: 10.1186/1752-0509-1-42
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Title: BMC Systems Biology
Source Genre: Journal
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Pages: - Volume / Issue: 1 Sequence Number: 42 Start / End Page: - Identifier: -