Literature DB >> 11289791

Possible pitfalls of flux calculations based on (13)C-labeling.

W van Winden1, P Verheijen, S Heijnen.   

Abstract

Metabolic engineers have enthusiastically adopted the (13)C-labeling technique as a powerful tool for elucidating fluxes in metabolic networks. This tracer technique makes it possible to determine fluxes that are unobservable using only metabolite balances and allows the elimination of doubtful cofactor balances that are indispensable in flux analysis based on metabolite balancing alone. The (13)C-labeling technique, however, relies on a number of assumptions that are not free from uncertainties. Two possible errors in the models that are needed to determine the metabolic fluxes from labeling data are omitted reactions and ignored occurrence of channeling. By means of two representative examples it is shown that these modeling errors may lead to serious errors in the calculated flux distributions despite the use of labeling data. A complicating fact is that the model errors are not always easily detected as poor models may still yield good fits of experimental data. Results of (13)C-labeling experiments should therefore be interpreted with appropriate caution. Copyright 2001 Academic Press.

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Year:  2001        PMID: 11289791     DOI: 10.1006/mben.2000.0174

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  17 in total

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3.  Kinetic isotope effects significantly influence intracellular metabolite (13) C labeling patterns and flux determination.

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4.  Metabolic-flux profiling of the yeasts Saccharomyces cerevisiae and Pichia stipitis.

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5.  Revealing the Metabolic Flexibility of "Candidatus Accumulibacter phosphatis" through Redox Cofactor Analysis and Metabolic Network Modeling.

Authors:  Leonor Guedes da Silva; Karel Olavarria Gamez; Joana Castro Gomes; Kasper Akkermans; Laurens Welles; Ben Abbas; Mark C M van Loosdrecht; Sebastian Aljoscha Wahl
Journal:  Appl Environ Microbiol       Date:  2020-11-24       Impact factor: 4.792

6.  An automated growth enclosure for metabolic labeling of Arabidopsis thaliana with 13C-carbon dioxide - an in vivo labeling system for proteomics and metabolomics research.

Authors:  Wen-Ping Chen; Xiao-Yuan Yang; Geoffrey L Harms; William M Gray; Adrian D Hegeman; Jerry D Cohen
Journal:  Proteome Sci       Date:  2011-02-10       Impact factor: 2.480

7.  Compartmentation of glycogen metabolism revealed from 13C isotopologue distributions.

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8.  Experimental flux measurements on a network scale.

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Review 9.  Integration of enzyme kinetic models and isotopomer distribution analysis for studies of in situ cell operation.

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10.  Fluxome analysis using GC-MS.

Authors:  Christoph Wittmann
Journal:  Microb Cell Fact       Date:  2007-02-07       Impact factor: 5.328

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