Literature DB >> 21732247

The benefits of being transient: isotope-based metabolic flux analysis at the short time scale.

Katharina Nöh1, Wolfgang Wiechert.   

Abstract

Metabolic fluxes are the manifestations of the co-operating actions in a complex network of genes, transcripts, proteins, and metabolites. As a final quantitative endpoint of all cellular interactions, the intracellular fluxes are of immense interest in fundamental as well as applied research. Unlike the quantities of interest in most omics levels, in vivo fluxes are, however, not directly measureable. In the last decade, ¹³C-based metabolic flux analysis emerged as the state-of-the-art technique to infer steady-state fluxes by data from labeling experiments and the use of mathematical models. A very promising new area in systems metabolic engineering research is non-stationary ¹³C-metabolic flux analysis at metabolic steady-state conditions. Several studies have demonstrated an information surplus contained in transient labeling data compared to those taken at the isotopic equilibrium, as it is classically done. Enabled by recent, fairly multi-disciplinary progress, the new method opens several attractive options to (1) generate new insights, e.g., in cellular storage metabolism or the dilution of tracer by endogenous pools and (2) shift limits, inherent in the classical approach, towards enhanced applicability with respect to cultivation conditions and biological systems. We review the new developments in metabolome-based non-stationary ¹³C flux analysis and outline future prospects for accurate in vivo flux measurement.

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Year:  2011        PMID: 21732247     DOI: 10.1007/s00253-011-3390-4

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  19 in total

Review 1.  Probing Metabolism in the Intact Retina Using Stable Isotope Tracers.

Authors:  Jianhai Du; Jonathan D Linton; James B Hurley
Journal:  Methods Enzymol       Date:  2015-06-14       Impact factor: 1.600

2.  Genome-Scale Fluxome of Synechococcus elongatus UTEX 2973 Using Transient 13C-Labeling Data.

Authors:  John I Hendry; Saratram Gopalakrishnan; Justin Ungerer; Himadri B Pakrasi; Yinjie J Tang; Costas D Maranas
Journal:  Plant Physiol       Date:  2018-12-14       Impact factor: 8.340

3.  Isotopically nonstationary 13C flux analysis of Myc-induced metabolic reprogramming in B-cells.

Authors:  Taylor A Murphy; Chi V Dang; Jamey D Young
Journal:  Metab Eng       Date:  2012-08-08       Impact factor: 9.783

Review 4.  A roadmap for interpreting (13)C metabolite labeling patterns from cells.

Authors:  Joerg M Buescher; Maciek R Antoniewicz; Laszlo G Boros; Shawn C Burgess; Henri Brunengraber; Clary B Clish; Ralph J DeBerardinis; Olivier Feron; Christian Frezza; Bart Ghesquiere; Eyal Gottlieb; Karsten Hiller; Russell G Jones; Jurre J Kamphorst; Richard G Kibbey; Alec C Kimmelman; Jason W Locasale; Sophia Y Lunt; Oliver D K Maddocks; Craig Malloy; Christian M Metallo; Emmanuelle J Meuillet; Joshua Munger; Katharina Nöh; Joshua D Rabinowitz; Markus Ralser; Uwe Sauer; Gregory Stephanopoulos; Julie St-Pierre; Daniel A Tennant; Christoph Wittmann; Matthew G Vander Heiden; Alexei Vazquez; Karen Vousden; Jamey D Young; Nicola Zamboni; Sarah-Maria Fendt
Journal:  Curr Opin Biotechnol       Date:  2015-02-28       Impact factor: 9.740

5.  Comprehensive Isotopic Targeted Mass Spectrometry: Reliable Metabolic Flux Analysis with Broad Coverage.

Authors:  Xiaojian Shi; Bowei Xi; Paniz Jasbi; Cassidy Turner; Yan Jin; Haiwei Gu
Journal:  Anal Chem       Date:  2020-08-10       Impact factor: 6.986

6.  Fluxome study of Pseudomonas fluorescens reveals major reorganisation of carbon flux through central metabolic pathways in response to inactivation of the anti-sigma factor MucA.

Authors:  Stina K Lien; Sebastian Niedenführ; Håvard Sletta; Katharina Nöh; Per Bruheim
Journal:  BMC Syst Biol       Date:  2015-02-18

7.  Pool size measurements facilitate the determination of fluxes at branching points in non-stationary metabolic flux analysis: the case of Arabidopsis thaliana.

Authors:  Robert Heise; Alisdair R Fernie; Mark Stitt; Zoran Nikoloski
Journal:  Front Plant Sci       Date:  2015-06-02       Impact factor: 5.753

Review 8.  Metabolomics in infectious diseases and drug discovery.

Authors:  Vivian Tounta; Yi Liu; Ashleigh Cheyne; Gerald Larrouy-Maumus
Journal:  Mol Omics       Date:  2021-06-14

9.  Extensive exometabolome analysis reveals extended overflow metabolism in various microorganisms.

Authors:  Nicole Paczia; Anke Nilgen; Tobias Lehmann; Jochem Gätgens; Wolfgang Wiechert; Stephan Noack
Journal:  Microb Cell Fact       Date:  2012-09-11       Impact factor: 5.328

10.  Parallel in vivo DNA assembly by recombination: experimental demonstration and theoretical approaches.

Authors:  Zhenyu Shi; Anthony G Wedd; Sally L Gras
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

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