NDLI: Genome-based kinetic modeling of cytosolic glucose metabolism in industrially relevant cell lines: Saccharomyces cerevisiae and Chinese hamster ovary cells

Content Provider	Springer Nature Link
Author	Chen, Ning Koumpouras, Georgios C. Polizzi, Karen M. Kontoravdi, Cleo
Copyright Year	2012
Abstract	Model-based analysis of cellular metabolism can facilitate our understanding of intracellular kinetics and aid the improvement of cell growth and biological product manufacturing. In this paper, a model-based kinetic study of cytosolic glucose metabolism for two industrially relevant cell lines, Saccharomyces cerevisiae and Chinese hamster ovary (CHO) cells, based on enzyme genetic presence and expression information is described. We have reconstructed the cytosolic glucose metabolism map for S. cerevisiae and CHO cells, containing 18 metabolites and 18 enzymes using information from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Based on this map, we have developed a kinetic mathematical model for the pathways involved, considering regulation and/or inhibition by products or co-substrates. The values of the maximum rates of reactions (V max) were estimated based on kinetic parameter information and metabolic flux analysis results available in literature, and the resulting simulation results for steady-state metabolite concentrations are in good agreement with published experimental data. Finally, the model was used to analyse how the production of DHAP, an important intermediate in fine chemicals synthesis, could be increased using gene knockout.
Starting Page	1023
Ending Page	1033
Page Count	11
File Format	PDF
ISSN	16157591
Journal	Bioprocess Engineering
Volume Number	35
Issue Number	6
e-ISSN	16157605
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-01-28
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Kinetic modelling Saccharomyces cerevisiae Chinese hamster ovary cells Genome-scale metabolic reconstruction Glucose metabolism Industrial and Production Engineering Biotechnology Industrial Chemistry/Chemical Engineering Environmental Engineering/Biotechnology Food Science
Content Type	Text
Resource Type	Article
Subject	Medicine Bioengineering Biotechnology

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