1999
DOI: 10.1038/46329
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Sustained oscillations in living cells

Abstract: Glycolytic oscillations in yeast have been studied for many years simply by adding a glucose pulse to a suspension of cells and measuring the resulting transient oscillations of NADH. Here we show, using a suspension of yeast cells, that living cells can be kept in a well defined oscillating state indefinitely when starved cells, glucose and cyanide are pumped into a cuvette with outflow of surplus liquid. Our results show that the transitions between stationary and oscillatory behaviour are uniquely described… Show more

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Cited by 238 publications
(241 citation statements)
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“…These reveal the world-wide importance of such studies. In this paper, the elements denote symptoms such as a bacterium having an internal network of genes and proteins (6), a reactive droplet in reaction-diffusion systems(7), a neuron in networks (8,9), etc (10)(11)(12)(13)(14). These elements exhibit not only spatio-temporal patterns but also collective functions.…”
mentioning
confidence: 99%
“…These reveal the world-wide importance of such studies. In this paper, the elements denote symptoms such as a bacterium having an internal network of genes and proteins (6), a reactive droplet in reaction-diffusion systems(7), a neuron in networks (8,9), etc (10)(11)(12)(13)(14). These elements exhibit not only spatio-temporal patterns but also collective functions.…”
mentioning
confidence: 99%
“…It converts glucose to products that are further processed in the mitochondria to produce adenosine triphosphate (ATP) from adenosine diphosphate (ADP). Oscillations in glycolysis have been observed in yeast (Betz and Chance, 1965;Dan^et al, 1999), muscle extracts Lowenstein, 1974, 1975), and b-cells (Longo et al, 1991). These oscillations are thought to be due to the allosteric enzyme phosphofructokinase (PFK), which phosphorylates fructose-6-phosphate (F6P) to form fructose 1,6-bisphosphate (FBP).…”
Section: Introductionmentioning
confidence: 99%
“…These methodological advances have paved the way to quantitative modelling of such biological populations, and in particular for oscillations in glycolysis and in genetically engineering circuits [3,7,8,5]. Quantitative approaches have complemented qualitative modelling approaches [2,9] by elucidating how given dynamical features are implemented in a particular biological system.…”
Section: Introductionmentioning
confidence: 99%
“…The use of bioreactors [3,4,6], and later of microfluidic devices [5], allowed to keep the environmental conditions so stable that a steady dynamical behaviour could be quantitatively characterized. These methodological advances have paved the way to quantitative modelling of such biological populations, and in particular for oscillations in glycolysis and in genetically engineering circuits [3,7,8,5].…”
Section: Introductionmentioning
confidence: 99%
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