Literature DB >> 10702114

Effect of cellular interaction on glycolytic oscillations in yeast: a theoretical investigation.

J Wolf1, R Heinrich.   

Abstract

On the basis of a detailed model of yeast glycolysis, the effect of intercellular dynamics is analysed theoretically. The model includes the main steps of anaerobic glycolysis, and the production of ethanol and glycerol. Transmembrane diffusion of acetaldehyde is included, since it has been hypothesized that this substance mediates the interaction. Depending on the kinetic parameter, the single-cell model shows both stationary and oscillatory behaviour. This agrees with experimental data with respect to metabolite concentrations and phase shifts. The inclusion of intercellular coupling leads to a variety of dynamical modes, such as synchronous oscillations, and different kinds of asynchronous behavior. These oscillations can co-exist, leading to bi- and tri-rhythmicity. The corresponding parameter regions have been identified by a bifurcation analysis. The oscillatory dynamics of synchronized cell populations are investigated by calculating the phase responses to acetaldehyde pulses. Simulations are performed with respect to the synchronization of two subpopulations that are oscillating out of phase before mixing. The effect of the various process on synchronization is characterized quantitatively. While continuous exchange of acetaldehyde might synchronize the oscillations for appropriate sets of parameter values, the calculated synchronization time is longer than that observed experimentally. It is concluded either that addition to the transmembrane exchange of acetaldehyde, other processes may contribute to intercellular coupling, or that intracellular regulator feedback plays a role in the acceleration of the synchronization. for appropriate sets of parameter values, the calculated synchronization time is longer than that observed experimentally. It is concluded either that addition to the transmembrane exchange of acetaldehyde, other processes may contribute to intercellular coupling, or that intracellular regulator feedback plays a role in the acceleration of the synchronization.

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Year:  2000        PMID: 10702114      PMCID: PMC1220770     

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  21 in total

1.  Oscillations of the glycolytic pathway and the purine nucleotide cycle.

Authors:  K Tornheim
Journal:  J Theor Biol       Date:  1979-08-21       Impact factor: 2.691

2.  Control of frequency and amplitudes is shared by all enzymes in three models for yeast glycolytic oscillations.

Authors:  B Teusink; B M Bakker; H V Westerhoff
Journal:  Biochim Biophys Acta       Date:  1996-07-31

3.  Dynamics of two-component biochemical systems in interacting cells; synchronization and desynchronization of oscillations and multiple steady states.

Authors:  J Wolf; R Heinrich
Journal:  Biosystems       Date:  1997       Impact factor: 1.973

4.  Self-oscillations in glycolysis. 1. A simple kinetic model.

Authors:  E E Sel'kov
Journal:  Eur J Biochem       Date:  1968-03

5.  Oscillations and control features in glycolysis: numerical analysis of a comprehensive model.

Authors:  Y Termonia; J Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1981-05       Impact factor: 11.205

6.  Sustained oscillations in free-energy state and hexose phosphates in yeast.

Authors:  P Richard; B Teusink; M B Hemker; K Van Dam; H V Westerhoff
Journal:  Yeast       Date:  1996-06-30       Impact factor: 3.239

7.  Synchronization affector of autonomous short-period-sustained oscillation of Saccharomyces cerevisiae.

Authors:  M Keulers; A D Satroutdinov; T Suzuki; H Kuriyama
Journal:  Yeast       Date:  1996-06-15       Impact factor: 3.239

8.  Oscillatory metabolism of Saccharomyces cerevisiae in continuous culture.

Authors:  A D Satroutdinov; H Kuriyama; H Kobayashi
Journal:  FEMS Microbiol Lett       Date:  1992-11-01       Impact factor: 2.742

9.  Acetaldehyde mediates the synchronization of sustained glycolytic oscillations in populations of yeast cells.

Authors:  P Richard; B M Bakker; B Teusink; K Van Dam; H V Westerhoff
Journal:  Eur J Biochem       Date:  1996-01-15

10.  Yeast cells with a specific cellular make-up and an environment that removes acetaldehyde are prone to sustained glycolytic oscillations.

Authors:  P Richard; J A Diderich; B M Bakker; B Teusink; K van Dam; H V Westerhoff
Journal:  FEBS Lett       Date:  1994-03-21       Impact factor: 4.124

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  18 in total

1.  Control analysis for autonomously oscillating biochemical networks.

Authors:  Karin A Reijenga; Hans V Westerhoff; Boris N Kholodenko; Jacky L Snoep
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

2.  Cell population modelling of yeast glycolytic oscillations.

Authors:  Michael A Henson; Dirk Müller; Matthias Reuss
Journal:  Biochem J       Date:  2002-12-01       Impact factor: 3.857

3.  Automated refinement and inference of analytical models for metabolic networks.

Authors:  Michael D Schmidt; Ravishankar R Vallabhajosyula; Jerry W Jenkins; Jonathan E Hood; Abhishek S Soni; John P Wikswo; Hod Lipson
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

4.  An equation-free approach to analyzing heterogeneous cell population dynamics.

Authors:  Katherine A Bold; Yu Zou; Ioannis G Kevrekidis; Michael A Henson
Journal:  J Math Biol       Date:  2007-04-11       Impact factor: 2.259

5.  Equality of average and steady-state levels in some nonlinear models of biological oscillations.

Authors:  Beate Knoke; Marko Marhl; Matjaz Perc; Stefan Schuster
Journal:  Theory Biosci       Date:  2008-01-15       Impact factor: 1.919

Review 6.  Estimation methods for heterogeneous cell population models in systems biology.

Authors:  Steffen Waldherr
Journal:  J R Soc Interface       Date:  2018-10-31       Impact factor: 4.118

7.  Control of glycolytic dynamics by hexose transport in Saccharomyces cerevisiae.

Authors:  K A Reijenga; J L Snoep; J A Diderich; H W van Verseveld; H V Westerhoff; B Teusink
Journal:  Biophys J       Date:  2001-02       Impact factor: 4.033

8.  Modeling feedback loops of the Mammalian circadian oscillator.

Authors:  Sabine Becker-Weimann; Jana Wolf; Hanspeter Herzel; Achim Kramer
Journal:  Biophys J       Date:  2004-09-03       Impact factor: 4.033

9.  Quantitative characterization of cell synchronization in yeast.

Authors:  Sune Danø; Mads Find Madsen; Preben Graae Sørensen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-25       Impact factor: 11.205

10.  Robustness in regulatory interaction networks. A generic approach with applications at different levels: physiologic, metabolic and genetic.

Authors:  Jacques Demongeot; Hedi Ben Amor; Adrien Elena; Pierre Gillois; Mathilde Noual; Sylvain Sené
Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

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