Literature DB >> 12047390

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

Bjarke Christensen1, Andreas Karoly Gombert, Jens Nielsen.   

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.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12047390     DOI: 10.1046/j.1432-1033.2002.02959.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  15 in total

Review 1.  It is all about metabolic fluxes.

Authors:  Jens Nielsen
Journal:  J Bacteriol       Date:  2003-12       Impact factor: 3.490

2.  Metabolic characterization of Escherichia coli strains adapted to growth on lactate.

Authors:  Qiang Hua; Andrew R Joyce; Bernhard Ø Palsson; Stephen S Fong
Journal:  Appl Environ Microbiol       Date:  2007-05-18       Impact factor: 4.792

3.  (13)C-based metabolic flux analysis.

Authors:  Nicola Zamboni; Sarah-Maria Fendt; Martin Rühl; Uwe Sauer
Journal:  Nat Protoc       Date:  2009-05-21       Impact factor: 13.491

4.  Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C-metabolic flux analysis.

Authors:  Lian He; Yi Xiao; Nikodimos Gebreselassie; Fuzhong Zhang; Maciek R Antoniewiez; Yinjie J Tang; Lifeng Peng
Journal:  Biotechnol Bioeng       Date:  2014-03       Impact factor: 4.530

5.  Multiple propionyl coenzyme A-supplying pathways for production of the bioplastic poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in Haloferax mediterranei.

Authors:  Jing Han; Jing Hou; Fan Zhang; Guomin Ai; Ming Li; Shuangfeng Cai; Hailong Liu; Lei Wang; Zejian Wang; Siliang Zhang; Lei Cai; Dahe Zhao; Jian Zhou; Hua Xiang
Journal:  Appl Environ Microbiol       Date:  2013-02-22       Impact factor: 4.792

6.  Metabolic flexibility of D-ribose producer strain of Bacillus pumilus under environmental perturbations.

Authors:  Rajesh K Srivastava; Soumen K Maiti; Debasish Das; Prashant M Bapat; Kritika Batta; Mani Bhushan; Pramod P Wangikar
Journal:  J Ind Microbiol Biotechnol       Date:  2012-03-22       Impact factor: 3.346

7.  Kinetic isotope effects significantly influence intracellular metabolite (13) C labeling patterns and flux determination.

Authors:  Thomas M Wasylenko; Gregory Stephanopoulos
Journal:  Biotechnol J       Date:  2013-08-05       Impact factor: 4.677

8.  Metabolic-flux profiling of the yeasts Saccharomyces cerevisiae and Pichia stipitis.

Authors:  Jocelyne Fiaux; Z Petek Cakar; Marco Sonderegger; Kurt Wüthrich; Thomas Szyperski; Uwe Sauer
Journal:  Eukaryot Cell       Date:  2003-02

9.  Mapping condition-dependent regulation of lipid metabolism in Saccharomyces cerevisiae.

Authors:  Michael C Jewett; Christopher T Workman; Intawat Nookaew; Francisco A Pizarro; Eduardo Agosin; Lars I Hellgren; Jens Nielsen
Journal:  G3 (Bethesda)       Date:  2013-11-06       Impact factor: 3.154

10.  Transcriptomic and network component analysis of glycerol kinase in skeletal muscle using a mouse model of glycerol kinase deficiency.

Authors:  Lola Rahib; Ganesh Sriram; Melissa K Harada; James C Liao; Katrina M Dipple
Journal:  Mol Genet Metab       Date:  2009-01-03       Impact factor: 4.797

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.