Methods and advances in metabolic flux analysis: a mini-review
- 1 March 2015
- journal article
- review article
- Published by Oxford University Press (OUP) in Journal of Industrial Microbiology & Biotechnology
- Vol. 42 (3), 317-325
- https://doi.org/10.1007/s10295-015-1585-x
Abstract
Metabolic flux analysis (MFA) is one of the pillars of metabolic engineering. Over the past three decades, it has been widely used to quantify intracellular metabolic fluxes in both native (wild type) and engineered biological systems. Through MFA, changes in metabolic pathway fluxes are quantified that result from genetic and/or environmental interventions. This information, in turn, provides insights into the regulation of metabolic pathways and may suggest new targets for further metabolic engineering of the strains. In this mini-review, we discuss and classify the various methods of MFA that have been developed, which include stoichiometric MFA, 13C metabolic flux analysis, isotopic non-stationary 13C metabolic flux analysis, dynamic metabolic flux analysis, and 13C dynamic metabolic flux analysis. For each method, we discuss key advantages and limitations and conclude by highlighting important recent advances in flux analysis approaches.Keywords
This publication has 99 references indexed in Scilit:
- Optimization of 13C isotopic tracers for metabolic flux analysis in mammalian cellsMetabolic Engineering, 2011
- Mapping photoautotrophic metabolism with isotopically nonstationary 13C flux analysisMetabolic Engineering, 2011
- Measuring Deuterium Enrichment of Glucose Hydrogen Atoms by Gas Chromatography/Mass SpectrometryAnalytical Chemistry, 2011
- Quantitative characterization of metabolism and metabolic shifts during growth of the new human cell line AGE1.HN using time resolved metabolic flux analysisBioprocess and Biosystems Engineering, 2010
- The biomass objective functionCurrent Opinion in Microbiology, 2010
- What is flux balance analysis?Nature Biotechnology, 2010
- Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4pProceedings of the National Academy of Sciences of the United States of America, 2009
- Metabolic flux analysis in a nonstationary system: Fed-batch fermentation of a high yielding strain of E. coli producing 1,3-propanediolMetabolic Engineering, 2007
- Elementary metabolite units (EMU): A novel framework for modeling isotopic distributionsMetabolic Engineering, 2006
- GC‐MS Analysis of Amino Acids Rapidly Provides Rich Information for Isotopomer BalancingBiotechnology Progress, 2000