Mathematical Modeling of Isotope Labeling Experiments for Metabolic Flux Analysis

  • Shilpa Nargund
  • Ganesh Sriram
Part of the Methods in Molecular Biology book series (MIMB, volume 1083)


Isotope labeling experiments (ILEs) offer a powerful methodology to perform metabolic flux analysis. However, the task of interpreting data from these experiments to evaluate flux values requires significant mathematical modeling skills. Toward this, this chapter provides background information and examples to enable the reader to (1) model metabolic networks, (2) simulate ILEs, and (3) understand the optimization and statistical methods commonly used for flux evaluation. A compartmentalized model of plant glycolysis and pentose phosphate pathway illustrates the reconstruction of a typical metabolic network, whereas a simpler example network illustrates the underlying metabolite and isotopomer balancing techniques. We also discuss the salient features of commonly used flux estimation software 13CFLUX2, Metran, NMR2Flux+, FiatFlux, and OpenFLUX. Furthermore, we briefly discuss methods to improve flux estimates. A graphical checklist at the end of the chapter provides a reader a quick reference to the mathematical modeling concepts and resources.

Key words

Metabolic flux analysis Isotope labeling experiment Mathematical model Isotopomer balance Cumomer Elementary metabolite unit Bondomer 13CFLUX2 Metran NMR2Flux+ FiatFlux OpenFLUX 


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Copyright information

© Springer Science+Business Media, New York 2014

Authors and Affiliations

  • Shilpa Nargund
    • 1
  • Ganesh Sriram
    • 2
  1. 1.University of MarylandCollege ParkUSA
  2. 2.Department of Chemical and Biomolecular EngineeringUniversity of MarylandCollege ParkUSA

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