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Open AccessJournal ArticleDOI

FiatFlux – a software for metabolic flux analysis from 13C-glucose experiments

Nicola Zamboni, +2 more
- 25 Aug 2005 - 
- Vol. 6, Iss: 1, pp 209-209
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TLDR
FiatFlux is an intuitive tool for quantitative investigations of intracellular metabolism by users that are not familiar with numerical methods or isotopic tracer experiments to enable non-specialists to adapt the software to their specific scientific interests.
Abstract
Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to direct assessment of metabolite concentrations, in vivo metabolite fluxes must be inferred indirectly from measurable quantities in 13C experiments. The required experience, the complicated network models, large and heterogeneous data sets, and the time-consuming set-up of highly controlled experimental conditions largely restricted metabolic flux analysis to few expert groups. A conceptual simplification of flux analysis is the analytical determination of metabolic flux ratios exclusively from MS data, which can then be used in a second step to estimate absolute in vivo fluxes. Here we describe the user-friendly software package FiatFlux that supports flux analysis for non-expert users. In the first module, ratios of converging fluxes are automatically calculated from GC-MS-detected 13C-pattern in protein-bound amino acids. Predefined fragmentation patterns are automatically identified and appropriate statistical data treatment is based on the comparison of redundant information in the MS spectra. In the second module, absolute intracellular fluxes may be calculated by a 13C-constrained flux balancing procedure that combines experimentally determined fluxes in and out of the cell and the above flux ratios. The software is preconfigured to derive flux ratios and absolute in vivo fluxes from [1-13C] and [U-13C]glucose experiments and GC-MS analysis of amino acids for a variety of microorganisms. FiatFlux is an intuitive tool for quantitative investigations of intracellular metabolism by users that are not familiar with numerical methods or isotopic tracer experiments. The aim of this open source software is to enable non-specialists to adapt the software to their specific scientific interests, including other 13C-substrates, labeling mixtures, and organisms.

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Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0

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13 C-based metabolic flux analysis

TL;DR: This work describes a protocol that is based on growing microbes on 13C-labeled glucose and subsequent gas chromatography mass spectrometric detection of13C-patterns in protein-bound amino acids, and describes two complementary mathematical approaches to estimate either local ratios of converging fluxes or absolute fluxes through different pathways.
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References
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Journal ArticleDOI

13C metabolic flux analysis.

TL;DR: This minireview summarizes recent developments of metabolic flux analysis using 13C-labeled substrates and sketches the major practical problems.
Journal ArticleDOI

The Soluble and Membrane-bound Transhydrogenases UdhA and PntAB Have Divergent Functions in NADPH Metabolism of Escherichia coli*

TL;DR: Both transhydrogenase isoforms in E. coli have divergent physiological functions: energy-dependent reduction of NADP+ with NADH by PntAB and reoxidation of NADPH by UdhA, which raises two general questions: why do only a few bacteria contain both isoforms, and how do other organisms manage NADPH metabolism?
Journal ArticleDOI

Metabolic flux profiling of Escherichia coli mutants in central carbon metabolism using GC‐MS

TL;DR: A novel methodology for rapid diagnosis of metabolic changes, which is based on probabilistic equations that relate GC-MS-derived mass distributions in proteinogenic amino acids to in vivo enzyme activities is described, providing quantitative insight into flux changes that bring about the resilience of metabolic networks to disruption.
Journal ArticleDOI

Flux analysis of underdetermined metabolic networks: the quest for the missing constraints.

TL;DR: This work has shown that the intracellular fluxes of complex metabolic networks were quantified by isotopic-tracer experiments, but, owing to practical limitations, ‘metabolic-flux balancing' is emerging as an alternative.
Journal ArticleDOI

Experimental identification and quantification of glucose metabolism in seven bacterial species.

TL;DR: The results suggest that metabolic data from model species with extensive industrial and laboratory history are not representative of microbial metabolism, at least not quantitatively, by quantification of intracellular carbon fluxes from 13C tracer experiments.
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