Literature DB >> 18555197

Isotopic non-stationary 13C gluconate tracer method for accurate determination of the pentose phosphate pathway split-ratio in Penicillium chrysogenum.

Zheng Zhao1, Karel Kuijvenhoven, Cor Ras, Walter M van Gulik, Joseph J Heijnen, Peter J T Verheijen, Wouter A van Winden.   

Abstract

Current (13)C labeling experiments for metabolic flux analysis (MFA) are mostly limited by either the requirement of isotopic steady state or the extremely high computational effort due to the size and complexity of large metabolic networks. The presented novel approach circumvents these limitations by applying the isotopic non-stationary approach to a local metabolic network. The procedure is demonstrated in a study of the pentose phosphate pathway (PPP) split-ratio of Penicillium chrysogenum in a penicillin-G producing chemostat-culture grown aerobically at a dilution rate of 0.06h(-1) on glucose, using a tracer amount of uniformly labeled [U-(13)C(6)] gluconate. The rate of labeling inflow can be controlled by using different cell densities and/or different fractions of the labeled tracer in the feed. Due to the simplicity of the local metabolic network structure around the 6-phosphogluconate (6pg) node, only three metabolites need to be measured for the pool size and isotopomer distribution. Furthermore, the mathematical modeling of isotopomer distributions for the flux estimation has been reduced from large scale differential equations to algebraic equations. Under the studied cultivation condition, the estimated split-ratio (41.2+/-0.6%) using the novel approach, shows statistically no difference with the split-ratio obtained from the originally proposed isotopic stationary gluconate tracing method.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18555197     DOI: 10.1016/j.ymben.2008.04.003

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  8 in total

1.  Continuous-time Markov chain-based flux analysis in metabolism.

Authors:  Yunzhang Huo; Ping Ji
Journal:  J Comput Biol       Date:  2014-08-04       Impact factor: 1.479

2.  Cytosolic NADPH balancing in Penicillium chrysogenum cultivated on mixtures of glucose and ethanol.

Authors:  Zheng Zhao; Karel Kuijvenhoven; Walter M van Gulik; Joseph J Heijnen; Wouter A van Winden; Peter J T Verheijen
Journal:  Appl Microbiol Biotechnol       Date:  2010-08-31       Impact factor: 4.813

3.  Computational approaches in metabolic engineering.

Authors:  Jennifer L Reed; Ryan S Senger; Maciek R Antoniewicz; Jamey D Young
Journal:  J Biomed Biotechnol       Date:  2011-04-07

4.  Interaction of storage carbohydrates and other cyclic fluxes with central metabolism: A quantitative approach by non-stationary 13C metabolic flux analysis.

Authors:  C A Suarez-Mendez; M Hanemaaijer; Angela Ten Pierick; J C Wolters; J J Heijnen; S A Wahl
Journal:  Metab Eng Commun       Date:  2016-01-22

5.  Compartment-specific metabolome labeling enables the identification of subcellular fluxes that may serve as promising metabolic engineering targets in CHO cells.

Authors:  Andy Wiranata Wijaya; Andreas Ulmer; Lara Hundsdorfer; Natascha Verhagen; Attila Teleki; Ralf Takors
Journal:  Bioprocess Biosyst Eng       Date:  2021-09-30       Impact factor: 3.210

6.  Error Analysis and Propagation in Metabolomics Data Analysis.

Authors:  Hunter N B Moseley
Journal:  Comput Struct Biotechnol J       Date:  2013-01-01       Impact factor: 7.271

7.  Substrate cycles in Penicillium chrysogenum quantified by isotopic non-stationary flux analysis.

Authors:  Zheng Zhao; Angela Ten Pierick; Lodewijk de Jonge; Joseph J Heijnen; S Aljoscha Wahl
Journal:  Microb Cell Fact       Date:  2012-10-25       Impact factor: 5.328

8.  Theoretical Basis for Dynamic Label Propagation in Stationary Metabolic Networks under Step and Periodic Inputs.

Authors:  Serguei Sokol; Jean-Charles Portais
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.