Literature DB >> 17555780

Dynamic flux cartography of hairy roots primary metabolism.

M Cloutier1, M Perrier, M Jolicoeur.   

Abstract

A dynamic model for plant cell and hairy root primary metabolism is presented. The model includes nutrient uptake (Pi, sugars, nitrogen sources), the glycolysis and pentose phosphate pathways, the TCA cycle, amino acid biosynthesis, respiratory chain, biosynthesis of cell building blocks (structural hexoses, organic acids, lipids, and organic phosphated molecules). The energy shuttles (ATP, ADP) and cofactors (NAD/H, NADP/H) are also included. The model describes the kinetics of 44 biochemical reactions (fluxes) of the primary metabolism of plant cells and includes 41 biochemical species (metabolites, nutrients, biomass components). Multiple Michaelis-Menten type kinetics are used to describe biochemical reaction rates. Known regulatory phenomena on metabolic pathways are included using sigmoid switch functions. A visualization framework showing fluxes and metabolite concentrations over time is presented. The visualization of fluxes and metabolites is used to analyze simulation results from Catharanthus roseus hairy root 50 d batch cultures. The visualization of the metabolic system allows analyzing split ratios between pathways and flux time-variations. For carbon metabolism, the cells were observed to have relatively high and stable fluxes for the central carbon metabolism and low and variable fluxes for anabolic pathways. For phosphate metabolism, a very high free intracellular Pi turnover rate was observed with higher flux variations than for the carbon metabolism. Nitrogen metabolism also exhibited large flux variations. The potential uses of the model are also discussed.

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Year:  2007        PMID: 17555780     DOI: 10.1016/j.phytochem.2007.04.028

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  3 in total

1.  Identifying Biomarkers of Wharton's Jelly Mesenchymal Stromal Cells Using a Dynamic Metabolic Model: The Cell Passage Effect.

Authors:  Benoît Laflaquière; Gabrielle Leclercq; Chandarong Choey; Jingkui Chen; Sabine Peres; Caryn Ito; Mario Jolicoeur
Journal:  Metabolites       Date:  2018-02-24

2.  A Single Dynamic Metabolic Model Can Describe mAb Producing CHO Cell Batch and Fed-Batch Cultures on Different Culture Media.

Authors:  Julien Robitaille; Jingkui Chen; Mario Jolicoeur
Journal:  PLoS One       Date:  2015-09-02       Impact factor: 3.240

3.  A Dynamic Metabolic Flux Analysis of Myeloid-Derived Suppressor Cells Confirms Immunosuppression-Related Metabolic Plasticity.

Authors:  Guillaume Goffaux; Iness Hammami; Mario Jolicoeur
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  3 in total

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