Mobility of the free and of the loaded monosaccharide carrier in Saccharomyces cerevisiae

Kotyk, Arnošt

doi:10.1016/0005-2736(67)90013-2

Cited by 52 publications

(35 citation statements)

References 12 publications

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“…The ' interactive constant ' α is a constant relating the mobilities of the free and the loaded sugar carriers. The interactive constant was set to 0n91 (Kotyk, 1967 ;Teusink et al, 1998a). The elasticity coefficient could then be derived by calculating the effect of a small change in extracellular glucose (s) on the steady-state activity of glucose transport (v trans ), keeping terms that are connected to other steps in glycolysis (in this case intracellular glucose, p) constant.…”

Section: Methodsmentioning

confidence: 99%

Strategies to determine the extent of control exerted by glucose transport on glycolytic flux in the yeast Saccharomyces bayanus

et al. 1999

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The extent to which the transport of glucose across the plasma membrane of the yeast Saccharomyces bayanus controls the glycolytic flux was determined. The magnitude of control was quantified by measuring the effect of small changes in the activity of the glucose transport system on the rate of glucose consumption. Two effectors were used to modulate the activity of glucose transport : (i) maltose, a competitive inhibitor of the glucose transport system in S. bayanus (as well as in Saccharomyces cerevisiae) and (ii) extracellular glucose, the substrate of the glucose transport system. Two approaches were followed to derive from the experimental data the flux control coefficient of glucose transport on the glycolytic flux : (i) direct comparison of the steadystate glycolytic flux with the zero trans-influx of glucose and (ii) comparison of the change in glycolytic flux with the concomitant change in calculated glucose transport activity on variation of the extracellular glucose concentration. Both these approaches demonstrated that in cells of S. bayanus grown on glucose and harvested at the point of glucose exhaustion, a high proportion of the control of the glycolytic flux resides in the transport of glucose across the plasma membrane.

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Section: Methodsmentioning

confidence: 99%

Strategies to determine the extent of control exerted by glucose transport on glycolytic flux in the yeast Saccharomyces bayanus

et al. 1999

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“…The`interactive constant' K i depends on the relative mobility of the unbound and bound carrier [60,63], and was calculated in [18].…”

Section: A P P E N D I X 1 : E N Z Y M E K I N E T I C Smentioning

confidence: 99%

Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry

Teusink

Passarge

Reijenga

et al. 2000

European Journal of Biochemistry

623

733

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This paper examines whether the in vivo behavior of yeast glycolysis can be understood in terms of the in vitro kinetic properties of the constituent enzymes. In nongrowing, anaerobic, compressed Saccharomyces cerevisiae the values of the kinetic parameters of most glycolytic enzymes were determined. For the other enzymes appropriate literature values were collected. By inserting these values into a kinetic model for glycolysis, fluxes and metabolites were calculated. Under the same conditions fluxes and metabolite levels were measured.In our first model, branch reactions were ignored. This model failed to reach the stable steady state that was observed in the experimental flux measurements. Introduction of branches towards trehalose, glycogen, glycerol and succinate did allow such a steady state. The predictions of this branched model were compared with the empirical behavior. Half of the enzymes matched their predicted flux in vivo within a factor of 2. For the other enzymes it was calculated what deviation between in vivo and in vitro kinetic characteristics could explain the discrepancy between in vitro rate and in vivo flux.

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“…Km_TR is 1 mM for the inducible high affinity transport [47]; a_TR is the interactive constant [48], with a value of 1 [49]; k_TR was adjusted to 4350 min -1 . This adjustment provided at GAE 0.5 mM a value of GA1P in the range of the values provided by Ostergaard et al [25].…”

Section: Enzymatic Pa Thwaymentioning

confidence: 99%

Evolution of design principles in biochemical networks

et al. 2004

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Computer modelling and simulation are commonly used to analyse engineered systems.Biological systems differ in that they often can not be accurately characterized, so simulations are far from exact. Nonetheless , we argue in this paper that evolution results in recurring, dynamic organizational principles in biological systems, and that simulation can help to identify them and analyse their dynamic properties. As a specific example, we present a dynamic model of the galactose utilization pathway in yeast, and highlight several features of the model that embody such "design principles".

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Mobility of the free and of the loaded monosaccharide carrier in Saccharomyces cerevisiae

Cited by 52 publications

References 12 publications

Strategies to determine the extent of control exerted by glucose transport on glycolytic flux in the yeast Saccharomyces bayanus

Strategies to determine the extent of control exerted by glucose transport on glycolytic flux in the yeast Saccharomyces bayanus

Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry

Evolution of design principles in biochemical networks

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