Literature DB >> 19025966

Advances in analysis of microbial metabolic fluxes via (13)C isotopic labeling.

Yinjie J Tang1, Hector Garcia Martin, Samuel Myers, Sarah Rodriguez, Edward E K Baidoo, Jay D Keasling.   

Abstract

Metabolic flux analysis via (13)C labeling ((13)C MFA) quantitatively tracks metabolic pathway activity and determines overall enzymatic function in cells. Three core techniques are necessary for (13)C MFA: (1) a steady state cell culture in a defined medium with labeled-carbon substrates; (2) precise measurements of the labeling pattern of targeted metabolites; and (3) evaluation of the data sets obtained from mass spectrometry measurements with a computer model to calculate the metabolic fluxes. In this review, we summarize recent advances in the (13)C-flux analysis technologies, including mini-bioreactor usage for tracer experiments, isotopomer analysis of metabolites via high resolution mass spectrometry (such as GC-MS, LC-MS, or FT-ICR), high performance and large-scale isotopomer modeling programs for flux analysis, and the integration of fluxomics with other functional genomics studies. It will be shown that there is a significant value for (13)C-based metabolic flux analysis in many biological research fields. (c) 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19025966     DOI: 10.1002/mas.20191

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  39 in total

Review 1.  Stable isotope-resolved metabolomics and applications for drug development.

Authors:  Teresa W-M Fan; Pawel K Lorkiewicz; Katherine Sellers; Hunter N B Moseley; Richard M Higashi; Andrew N Lane
Journal:  Pharmacol Ther       Date:  2011-12-23       Impact factor: 12.310

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

Authors:  Martin Rühl; Wolf-Dietrich Hardt; Uwe Sauer
Journal:  Appl Environ Microbiol       Date:  2011-01-07       Impact factor: 4.792

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

Authors:  Le You; Lawrence Page; Xueyang Feng; Bert Berla; Himadri B Pakrasi; Yinjie J Tang
Journal:  J Vis Exp       Date:  2012-01-26       Impact factor: 1.355

4.  Characterization of the central metabolic pathways in Thermoanaerobacter sp. strain X514 via isotopomer-assisted metabolite analysis.

Authors:  Xueyang Feng; Housna Mouttaki; Lu Lin; Rick Huang; Bing Wu; Christopher L Hemme; Zhili He; Baichen Zhang; Leslie M Hicks; Jian Xu; Jizhong Zhou; Yinjie J Tang
Journal:  Appl Environ Microbiol       Date:  2009-06-12       Impact factor: 4.792

Review 5.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

6.  Development of quantitative metabolomics for Pichia pastoris.

Authors:  Marc Carnicer; André B Canelas; Angela Ten Pierick; Zhen Zeng; Jan van Dam; Joan Albiol; Pau Ferrer; Joseph J Heijnen; Walter van Gulik
Journal:  Metabolomics       Date:  2011-04-21       Impact factor: 4.290

Review 7.  Expanding the concepts and tools of metabolic engineering to elucidate cancer metabolism.

Authors:  Mark A Keibler; Sarah-Maria Fendt; Gregory Stephanopoulos
Journal:  Biotechnol Prog       Date:  2012-10-18

Review 8.  13 C flux analysis of cyanobacterial metabolism.

Authors:  Adeola O Adebiyi; Lara J Jazmin; Jamey D Young
Journal:  Photosynth Res       Date:  2014-10-04       Impact factor: 3.573

9.  Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Authors:  Christian M Metallo; Jason L Walther; Gregory Stephanopoulos
Journal:  J Biotechnol       Date:  2009-07-19       Impact factor: 3.307

10.  Central metabolism in Mycobacterium smegmatis during the transition from O2-rich to O2-poor conditions as studied by isotopomer-assisted metabolite analysis.

Authors:  Yinjie J Tang; Wenqing Shui; Samuel Myers; Xueyang Feng; Carolyn Bertozzi; Jay D Keasling
Journal:  Biotechnol Lett       Date:  2009-04-09       Impact factor: 2.461

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