Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Metabolic Flux Analysis

  • Meghna Rajvanshi
  • Kareenhalli V. Venkatesh
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_698



Metabolic flux analysis (MFA) is a popular methodology used in  metabolic pathway modeling to determine fluxes in a metabolic network. It uses information about stoichiometry of the reactions, and mass balances around intracellular metabolites along with measured fluxes to obtain unmeasured fluxes (Stephanopoulos et al. 1998). Thus, MFA provides a flux map, which is a diagram showing the steady state rates (fluxes) at which the metabolic reactions are operating for a given phenotypic state.


Theory of Calculating Fluxes Using MFA

Genomic, biochemical, and strain-specific information is used to reconstruct metabolic network for sequenced organisms. Such reconstructed networks have precise information of stoichiometric relationship between reactants and products and information regarding the reversibility or irreversibility of enzymatic reactions, which are prerequisites for MFA. MFA utilizes the stoichiometric...

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  1. Al-Rubeai M, Fussenegger M, Martens DE (2007) Metabolic flux analysis of mammalian cells. In: Hauser H, Betenbaugh M, Jenkins N, MacDonald C, Merten O-W (eds) Systems biology, vol 5, Cell engineering. Springer, Delft, pp 275–299CrossRefGoogle Scholar
  2. Bonarius HPJ, Hatzimanikatis V, Meesters KPH, deGooijer CD, Schmid G, Tramper J (1996) Metabolic flux analysis of hybridoma cells in different culture media using mass balances. Biotechnol Bioeng 50(3):299–318CrossRefPubMedGoogle Scholar
  3. Gambhir A, Korke R, Lee J, Fu P-C, Europa A, Hu W-S (2003) Analysis of cellular metabolism of hybridoma cells at distinct physiological states. Soc Biotechnol 95(4):317–327Google Scholar
  4. Gulik WMV, Heijnen JJ (1995) A metabolic network stoichiometry analysis of microbial growth and product formation. Biotechnol Bioeng 48(6):681–698CrossRefPubMedGoogle Scholar
  5. Jørgensen H, Nielsen J, Villadsen J, Møllgaard H (1995) Metabolic flux distributions in Penicillium chrysogenum during fed-batch cultivations. Biotechnol Bioeng 46(2):117–131CrossRefPubMedGoogle Scholar
  6. Nielsen J, Villadsen J, Liden G (2003) Bioreaction engineering principles, 2nd edn. Kluwer Academic/Plenum Publishers, New YorkCrossRefGoogle Scholar
  7. Nissen TL, Schulze U, Nielsen J, Villadsen J (1997) Flux distributions in anaerobic, glucose-limited continuous cultures of Saccharomyces cerevisiae. Microbiology 143(1):203–218. doi:10.1099/00221287-143-1-203CrossRefPubMedGoogle Scholar
  8. Shimizu H (2002) Metabolic engineering – integrating methodologies of molecular breeding and bioprocess systems engineering. J Biosci Bioeng 94(6):563–573PubMedGoogle Scholar
  9. Stephanopoulos GN, Aristidou AA, Nielsen J (1998) Metabolic engineering: principles and methodologies, 1st edn. Academic, San DiegoGoogle Scholar
  10. Vallino JJ, Stephanopoulos G (1993) Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction. Biotechnol Bioeng 41(6):633–646CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  • Meghna Rajvanshi
    • 1
  • Kareenhalli V. Venkatesh
    • 1
  1. 1.Department of Chemical EngineeringIndian Institute of Technology BombayPowai, MumbaiIndia