Format

Send to

Choose Destination
Appl Microbiol Biotechnol. 2010 May;86(5):1243-55. doi: 10.1007/s00253-010-2506-6. Epub 2010 Mar 16.

Metabolic flux distributions: genetic information, computational predictions, and experimental validation.

Author information

1
Laboratory of Chemical Biotechnology, TU Dortmund, Emil-Figge-Str. 66, 44221, Dortmund, Germany. lars.blank@bci.tu-dortmund.de

Abstract

Flux distributions in intracellular metabolic networks are of immense interest to fundamental and applied research, since they are quantitative descriptors of the phenotype and the operational mode of metabolism in the face of external growth conditions. In particular, fluxes are of relevance because they do not belong to the cellular inventory (e.g., transcriptome, proteome, metabolome), but are rather quantitative moieties, which link the phenotype of a cell to the specific metabolic mode of operation. A frequent application of measuring and redirecting intracellular fluxes is strain engineering, which ultimately aims at shifting metabolic activity toward a desired product to achieve a high yield and/or rate. In this article, we first review the assessment of intracellular flux distributions by either qualitative or rather quantitative computational methods and also discuss methods for experimental measurements. The tools at hand will then be exemplified on strain engineering projects from the literature. Finally, the achievements are discussed in the context of future developments in Metabolic Engineering and Synthetic Biology.

PMID:
20232063
DOI:
10.1007/s00253-010-2506-6
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center