Literature DB >> 23623747

Isotopically non-stationary metabolic flux analysis: complex yet highly informative.

Wolfgang Wiechert1, Katharina Nöh.   

Abstract

Metabolic flux analysis (MFA) using isotopic tracers aims at the experimental determination of in vivo reaction rates (fluxes). In recent years, the well-established 13C-MFA method based on metabolic and isotopic steady state was extended to INST-MFA (isotopically non-stationary MFA), which is performed in a transient labeling state. INST-MFA offers short-time experiments with a maximal information gain, and can moreover be applied to a wider range of growth conditions or organisms. Some of these conditions are not accessible by conventional methods. This comes at the price of significant methodological complexity involving high-frequency sampling and quenching, precise analysis of many samples and an extraordinary computational effort. This review gives a brief overview of basic principles, experimental workflows, and recent progress in this field. Special emphasis is laid on the trade-off between total effort and information gain, particularly on the suitability of INST-MFA for certain types of biological questions. In order to integrate INST-MFA as a viable method into the toolbox of MFA, some major challenges must be addressed in the coming years. These are discussed in the outlook.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23623747     DOI: 10.1016/j.copbio.2013.03.024

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  35 in total

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Review 3.  Defining the metabolome: size, flux, and regulation.

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Review 4.  Methods and advances in metabolic flux analysis: a mini-review.

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5.  Dynamic flux balance analysis with nonlinear objective function.

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Journal:  J Math Biol       Date:  2017-04-11       Impact factor: 2.259

6.  Flux profiling of photosynthetic carbon metabolism in intact plants.

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Review 7.  Applications of NMR spectroscopy to systems biochemistry.

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Review 8.  A roadmap for interpreting (13)C metabolite labeling patterns from cells.

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Journal:  Curr Opin Biotechnol       Date:  2015-02-28       Impact factor: 9.740

Review 9.  Understanding metabolism with flux analysis: From theory to application.

Authors:  Ziwei Dai; Jason W Locasale
Journal:  Metab Eng       Date:  2016-09-22       Impact factor: 9.783

10.  Applications of Chromatography-Ultra High-Resolution MS for Stable Isotope-Resolved Metabolomics (SIRM) Reconstruction of Metabolic Networks.

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Journal:  Trends Analyt Chem       Date:  2019-10-01       Impact factor: 12.296

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