Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks

Isotope labeling is one of the few methods of revealing the in vivo bidirectionality and compartmentalization of metabolic fluxes within metabolic networks. We argue that a shift from steady state to dynamic isotopomer analysis is required to deal with these cellular complexities and provide a revie...

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Main Authors: Marko Vendelin, Pearu Peterson, Toomas Paalme, David W. Schryer
Format: Article
Language:English
Published: MDPI AG 2009-04-01
Series:International Journal of Molecular Sciences
Subjects:
MFA
Online Access:http://www.mdpi.com/1422-0067/10/4/1697/
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spelling doaj-be47fdb9e93543a3b3b6f10cc3bfd9b42020-11-25T00:34:25ZengMDPI AGInternational Journal of Molecular Sciences1422-00672009-04-011041697171810.3390/ijms10041697Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer NetworksMarko VendelinPearu PetersonToomas PaalmeDavid W. SchryerIsotope labeling is one of the few methods of revealing the in vivo bidirectionality and compartmentalization of metabolic fluxes within metabolic networks. We argue that a shift from steady state to dynamic isotopomer analysis is required to deal with these cellular complexities and provide a review of dynamic studies of compartmentalized energy fluxes in eukaryotic cells including cardiac muscle, plants, and astrocytes. Knowledge of complex metabolic behaviour on a molecular level is prerequisite for the intelligent design of genetically modified organisms able to realize their potential of revolutionizing food, energy, and pharmaceutical production. We describe techniques to explore the bidirectionality and compartmentalization of metabolic fluxes using information contained in the isotopic transient, and discuss the integration of kinetic models with MFA. The flux parameters of an example metabolic network were optimized to examine the compartmentalization of metabolites and and the bidirectionality of fluxes in the TCA cycle of Saccharomyces uvarum for steady-state respiratory growth. http://www.mdpi.com/1422-0067/10/4/1697/Metabolic networkisotopomer dynamicsMFAmathematical modelingcompartmentalization¹³C NMR
collection DOAJ
language English
format Article
sources DOAJ
author Marko Vendelin
Pearu Peterson
Toomas Paalme
David W. Schryer
spellingShingle Marko Vendelin
Pearu Peterson
Toomas Paalme
David W. Schryer
Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
International Journal of Molecular Sciences
Metabolic network
isotopomer dynamics
MFA
mathematical modeling
compartmentalization
¹³C NMR
author_facet Marko Vendelin
Pearu Peterson
Toomas Paalme
David W. Schryer
author_sort Marko Vendelin
title Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
title_short Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
title_full Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
title_fullStr Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
title_full_unstemmed Bidirectionality and Compartmentation of Metabolic Fluxes Are Revealed in the Dynamics of Isotopomer Networks
title_sort bidirectionality and compartmentation of metabolic fluxes are revealed in the dynamics of isotopomer networks
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2009-04-01
description Isotope labeling is one of the few methods of revealing the in vivo bidirectionality and compartmentalization of metabolic fluxes within metabolic networks. We argue that a shift from steady state to dynamic isotopomer analysis is required to deal with these cellular complexities and provide a review of dynamic studies of compartmentalized energy fluxes in eukaryotic cells including cardiac muscle, plants, and astrocytes. Knowledge of complex metabolic behaviour on a molecular level is prerequisite for the intelligent design of genetically modified organisms able to realize their potential of revolutionizing food, energy, and pharmaceutical production. We describe techniques to explore the bidirectionality and compartmentalization of metabolic fluxes using information contained in the isotopic transient, and discuss the integration of kinetic models with MFA. The flux parameters of an example metabolic network were optimized to examine the compartmentalization of metabolites and and the bidirectionality of fluxes in the TCA cycle of Saccharomyces uvarum for steady-state respiratory growth.
topic Metabolic network
isotopomer dynamics
MFA
mathematical modeling
compartmentalization
¹³C NMR
url http://www.mdpi.com/1422-0067/10/4/1697/
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