13C metabolic flux analysis: optimal design of isotopic labeling experiments

Curr Opin Biotechnol. 2013 Dec;24(6):1116-21. doi: 10.1016/j.copbio.2013.02.003. Epub 2013 Feb 28.

Abstract

Measuring fluxes by 13C metabolic flux analysis (13C-MFA) has become a key activity in chemical and pharmaceutical biotechnology. Optimal design of isotopic labeling experiments is of central importance to 13C-MFA as it determines the precision with which fluxes can be estimated. Traditional methods for selecting isotopic tracers and labeling measurements did not fully utilize the power of 13C-MFA. Recently, new approaches were developed for optimal design of isotopic labeling experiments based on parallel labeling experiments and algorithms for rational selection of tracers. In addition, advanced isotopic labeling measurements were developed based on tandem mass spectrometry. Combined, these approaches can dramatically improve the quality of 13C-MFA results with important applications in metabolic engineering and biotechnology.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Algorithms
  • Biotechnology
  • Carbon Isotopes
  • Isotope Labeling / methods*
  • Metabolic Engineering
  • Metabolic Flux Analysis / methods*
  • Models, Biological
  • Tandem Mass Spectrometry

Substances

  • Carbon Isotopes