Abstract
Model-based Identification of Some Conditions Leading to Glycolytic Oscillations in E. coli Cells
Highlights
Autonomous oscillations of the glycolytic intermediates’ concentrations reflect the dynamics of the control and regulation of this major catabolic pathway, and the phenomenon has been reported in a broad range of cell types.[1]
Understanding glycolytic oscillations might prove crucial for our general understanding of the regulation of metabolism and the interplay among different parts of metabolism, as illustrated, for instance, by the hypothesis that glycolytic oscillations play a role in complex pulsatile insulin secretion,[2] or in the amino-acid synthesis.[3]
By adopting the glycolysis kinetic model of Maria[4], one can determine, by repeated simulations, the cell external and internal conditions leading to glycolytic oscillation occurrence
Summary
Autonomous oscillations of the glycolytic intermediates’ concentrations reflect the dynamics of the control and regulation of this major catabolic pathway, and the phenomenon has been reported in a broad range of cell types.[1]. Maria[4] proposed a reduced glycolysis model This model was identified using experimental dynamic data from literature,[6,18] and has been proved to adequately reproduce the cell glycolysis under steady state, oscillatory, or transient conditions according to the defined glucose input flux, environmental conditions, the total A(MDT)P cell energy resources, and cell phenotype characteristics (related to the activity of enzymes involved in the ATP utilization and recovery system). This is why the bioreactor (of model presented in Table 2) and the glycolysis dynamic models have to be considered together (Tables 2–3) when simulating the cell CCM
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