Skip to main content
Log in

Steady state-13C-Flussanalysen in Pflanzen

  • Biotechnologie
  • Stoffwechselquantifizierung
  • Published:
BIOspektrum Aims and scope

Zusammenfassung

Mit einer Kombination aus Isotopenmarkierung und Computersimulation lassen sich intrazelluläre Stoffflüsse in Pflanzenzellen quantifizieren. Das überwinden experimenteller, mathematischer und algorithmischer Hürden führt zu detaillierten Flusskarten des zentralen Metabolismus.

Abstract

By a combination of isotope labeling experiments and computer simulations it is possible to quantify intracellular metabolic fluxes in plant cells. Experimental, mathematical and algorithmic obstacles have to be overcome, but this effort will lead to detailed flux maps of central metabolism.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literatur

  1. Fernie AR, Geigenberger P, Stitt M (2005) Flux an important, but neglected, component of functional genomics. Curr Opin Plant Biol 8:174–182

    Article  PubMed  CAS  Google Scholar 

  2. Wiechert W, Möllney M, Petersen S et al. (2001) A universal framework for 13C metabolic flux analysis. Metab Eng 3:265–283

    Article  PubMed  CAS  Google Scholar 

  3. Quek LE, Wittmann C, Nielsen LK et al. (2009) OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis. Microbial Cell Factories 8:e25

    Article  Google Scholar 

  4. Junker BH, Klukas C, Schreiber F (2006) VANTED: a system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics 7:e109

    Article  Google Scholar 

  5. Schwender J, Goffman F, Ohlrogge JB et al. (2004) Rubisco without the Calvin cycle improves the carbon efficiency of developing green seeds. Nature 432:779–782

    Article  PubMed  CAS  Google Scholar 

  6. Fischer E, Sauer U (2005) Large-scale in vivo flux analysis shows rigidity and suboptimal performance of Bacillus subtilis metabolism. Nat Genet 37:636–640

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Björn Junker.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Junker, B. Steady state-13C-Flussanalysen in Pflanzen. Biospektrum 17, 230–232 (2011). https://doi.org/10.1007/s12268-011-0034-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12268-011-0034-2

Navigation