Home LiteratureArticle Details
PMID: 12047390 Published · ppublish English Journal Article

Analysis of flux estimates based on (13)C-labelling experiments.

European journal of biochemistry ·Vol. 269 ·No. 11 ·2002-06-00 ·Pages 2795-800

Christensen B, Gombert AK, Nielsen J

Abstract

Modelling of the fluxes in central metabolism can be performed by combining labelling experiments with metabolite balancing. Using this approach, multiple samples from a cultivation of Saccharomyces cerevisiae in metabolic and isotopic steady state were analysed, and the metabolic fluxes in central metabolism were estimated. In the various samples, the estimates of the central metabolic pathways, the tricarboxylic acid cycle, the oxidative pentose phosphate pathway and the anaplerotic pathway, showed an unprecedented reproducibility. The high reproducibility was obtained with fractional labellings of individual carbon atoms as the calculational base, illustrating that the more complex modelling using isotopomers is not necessarily superior with respect to reproducibility of the flux estimates. Based on these results some general difficulties in flux estimation are discussed.

MeSH Terms
Amino Acids/metabolism Biological Transport Carbon Isotopes/metabolism Glucose/metabolism Isotope Labeling Saccharomyces cerevisiae/metabolism
Chemicals
Amino Acids Carbon Isotopes Glucose
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Christensen Bjarke
Center for Process Biotechnology, BioCentrum DTU, Technical University of Denmark, DK-2800 kg. Lyngby, Denmark.
Gombert Andreas Karoly
Nielsen Jens
Article Info
Journal
European journal of biochemistry
Abbr.
Eur J Biochem
ISSN
0014-2956
Published
2002-06-00
Pages
2795-800
Language
English
Region
England
NLM ID
0107600
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]