Abstract:Anaerobic glycolysis in Saccharomyces cerevisiae has been studied by 13C NMR at 90. (7), was grown to one-fourth of saturation at 30°C in a liquid medium containing, per liter, 10 g of Bacto-peptone, 5 g of yeast extract, 4 g of (NH4)2SO4, 1 g of KH2PO4, 0.5 g of MgSO4, 0.5 g of CaC12, and 30 g of glucose.Prior to harvesting, the cultures were cooled to 5°C in icecold water with continuous shaking. Subsequently, the cells were collected by low-speed centrifugation at 4°C and washed twice in the ice-cold suspe… Show more
“…2B) [2,4] h-hydroxybutyrate [20]. Modeling with nonglucose substrates is complicated by the fact that, in contrast to glucose, the rate of uptake of 13 C-label into brain metabolism is dependent on the substrate concentration in the blood.…”
Section: Choice Ofmentioning
confidence: 99%
“…The potential of 13 C NMR spectroscopy to study metabolic pathways was demonstrated using suspensions of microorganisms [1,2]. The first attempt to model the flow of 13 C label into the TCA cycle was made in 1983 by Chance et al [3] in the heart, at a time when such analysis required some of the fastest computers available.…”
Section: Introductionmentioning
confidence: 99%
“…We have chosen to focus in this review on metabolic modeling which uses a one-compartment model and [1][2][3][4][5][6][7][8][9][10][11][12][13] C]glucose or [1,[6][7][8][9][10][11][12][13] C 2 ]glucose as a metabolic substrate. Other tracers and more complex metabolic models can be used, such as two-compartment (neuron-astrocyte) models.…”
In vivo 13 C NMR spectroscopy has the unique capability to measure metabolic fluxes noninvasively in the brain. Quantitative measurements of metabolic fluxes require analysis of the 13 C labeling time courses obtained experimentally with a metabolic model. The present work reviews the ingredients necessary for a dynamic metabolic modeling study, with particular emphasis on practical issues. D
“…2B) [2,4] h-hydroxybutyrate [20]. Modeling with nonglucose substrates is complicated by the fact that, in contrast to glucose, the rate of uptake of 13 C-label into brain metabolism is dependent on the substrate concentration in the blood.…”
Section: Choice Ofmentioning
confidence: 99%
“…The potential of 13 C NMR spectroscopy to study metabolic pathways was demonstrated using suspensions of microorganisms [1,2]. The first attempt to model the flow of 13 C label into the TCA cycle was made in 1983 by Chance et al [3] in the heart, at a time when such analysis required some of the fastest computers available.…”
Section: Introductionmentioning
confidence: 99%
“…We have chosen to focus in this review on metabolic modeling which uses a one-compartment model and [1][2][3][4][5][6][7][8][9][10][11][12][13] C]glucose or [1,[6][7][8][9][10][11][12][13] C 2 ]glucose as a metabolic substrate. Other tracers and more complex metabolic models can be used, such as two-compartment (neuron-astrocyte) models.…”
In vivo 13 C NMR spectroscopy has the unique capability to measure metabolic fluxes noninvasively in the brain. Quantitative measurements of metabolic fluxes require analysis of the 13 C labeling time courses obtained experimentally with a metabolic model. The present work reviews the ingredients necessary for a dynamic metabolic modeling study, with particular emphasis on practical issues. D
“…The selectivity and resolution of the method with respect to the chemical nature of cellular components renders it attractive for studies of cell physiology [ 8,9].…”
“…Glucose metabolism was the first to be examined with 13 C MRS experiments in yeast [118] and E. coli [122], the latter showing time courses of by-products related to glucose catabolism. Few years later a first attempt of modelling glucose uptake was made on data collected from yeast cells fed with [1e 13 C] and [6e 13 C] glucose with a Michaelis-Menten kinetic model [123], while main chemical reactions of the TCA cycle were estimated for the first time in cardiac tissue in vitro [11]. Up to this point, computational methods were still immature and magnetic fields available for research reached approximately 2 Tesla.…”
C NMR studies of the mouse brain are only recently appearing in the field due to the numerous challenges linked to the small mouse brain volume and the difficulty to follow the mouse physiological parameters within the NMR system during the infusion experiment. This review will present the progresses in the quest for a higher in vivo 13 C signal-to-noise ratio up to the present state of the art techniques, which made it feasible to assess glucose metabolism in different regions of the mouse brain. We describe how experimental results were integrated into suitable compartmental models and how a deep understanding of cerebral metabolism depends on the reliable detection of 13 C in the different molecules and carbon positions.
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