A reduced stoichiometric model to describe metabolism in hepatocytes

Andreas Kremling, Katrin Zeilinger, Jörg C. Gerlach, Ernst Dieter Gilles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Stoichiometric models are widely used in Metabolic Engineering and Systems Biology to estimate the flux distribution in cellular systems during steady-state operation. For a number of applications it is desirable to have a model with a small number of state variables. This is of particular interest, if static metabolic models are combined with dynamical models of gene expression. Such integrated models can be used to analyze, monitor and control cell culture bioreactors working as extracorporeal liver support systems. Such systems provide the option for bridging the liver function in case of acute hepatic failure until liver transplantation or until regeneration of the patient's own organ. In this contribution a reduced stoichiometric model of the central metabolism of hepatocytes, i.e. the most important cell type in the liver, is presented.

Original languageEnglish
Title of host publicationProceedings of the 2006 IEEE International Conference on Control Applications
Pages1725-1729
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
EventJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) - Munich, Germany
Duration: 4 Oct 20066 Oct 2006

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Conference

ConferenceJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
Country/TerritoryGermany
CityMunich
Period4/10/066/10/06

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