A reduced stoichiometric model to describe metabolism in hepatocytes

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

doi:10.1109/CACSD-CCA-ISIC.2006.4776901

A reduced stoichiometric model to describe metabolism in hepatocytes

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

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	1725-1729
Number of pages	5
DOIs	https://doi.org/10.1109/CACSD-CCA-ISIC.2006.4776901
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Control Applications, CCA 2006 - Munich, Germany Duration: 4 Oct 2006 → 6 Oct 2006

Conference

Conference	2006 IEEE International Conference on Control Applications, CCA 2006
Country/Territory	Germany
City	Munich
Period	4/10/06 → 6/10/06

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10.1109/CACSD-CCA-ISIC.2006.4776901

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title = "A reduced stoichiometric model to describe metabolism in hepatocytes",

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.",

author = "Andreas Kremling and Katrin Zeilinger and Gerlach, {J{\"o}rg C.} and Gilles, {Ernst Dieter}",

year = "2006",

doi = "10.1109/CACSD-CCA-ISIC.2006.4776901",

language = "English",

pages = "1725--1729",

note = "2006 IEEE International Conference on Control Applications, CCA 2006 ; Conference date: 04-10-2006 Through 06-10-2006",

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T1 - A reduced stoichiometric model to describe metabolism in hepatocytes

AU - Kremling, Andreas

AU - Zeilinger, Katrin

AU - Gerlach, Jörg C.

AU - Gilles, Ernst Dieter

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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DO - 10.1109/CACSD-CCA-ISIC.2006.4776901

M3 - Paper

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SP - 1725

EP - 1729

T2 - 2006 IEEE International Conference on Control Applications, CCA 2006

Y2 - 4 October 2006 through 6 October 2006

ER -

A reduced stoichiometric model to describe metabolism in hepatocytes

Abstract

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