Literature DB >> 19478804

(13)C-based metabolic flux analysis.

Nicola Zamboni1, Sarah-Maria Fendt, Martin Rühl, Uwe Sauer.   

Abstract

Stable isotope, and in particular (13)C-based flux analysis, is the exclusive approach to experimentally quantify the integrated responses of metabolic networks. Here we describe a protocol that is based on growing microbes on (13)C-labeled glucose and subsequent gas chromatography mass spectrometric detection of (13)C-patterns in protein-bound amino acids. Relying on publicly available software packages, we then describe two complementary mathematical approaches to estimate either local ratios of converging fluxes or absolute fluxes through different pathways. As amino acids in cell protein are abundant and stable, this protocol requires a minimum of equipment and analytical expertise. Most other flux methods are variants of the principles presented here. A true alternative is the analytically more demanding dynamic flux analysis that relies on (13)C-pattern in free intracellular metabolites. The presented protocols take 5-10 d, have been used extensively in the past decade and are exemplified here for the central metabolism of Escherichia coli.

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Year:  2009        PMID: 19478804     DOI: 10.1038/nprot.2009.58

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  67 in total

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3.  Accurate assessment of amino acid mass isotopomer distributions for metabolic flux analysis.

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7.  High-throughput metabolic flux analysis based on gas chromatography-mass spectrometry derived 13C constraints.

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8.  Systematic assignment of thermodynamic constraints in metabolic network models.

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Review 9.  Metabolic networks in motion: 13C-based flux analysis.

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Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

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6.  Subpopulation-specific metabolic pathway usage in mixed cultures as revealed by reporter protein-based 13C analysis.

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7.  13C-tracer and gas chromatography-mass spectrometry analyses reveal metabolic flux distribution in the oleaginous microalga Chlorella protothecoides.

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8.  Multi-omics analysis unravels a segregated metabolic flux network that tunes co-utilization of sugar and aromatic carbons in Pseudomonas putida.

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9.  Metabolic pathway confirmation and discovery through (13)C-labeling of proteinogenic amino acids.

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Review 10.  Understanding metabolism with flux analysis: From theory to application.

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