Wolf2000 - Cellular interaction on glycolytic oscillations in yeast

Wolf2000 - Cellular interaction on glycolytic
oscillations in yeast
A two-cell model of glycolysis.

This model is described in the article:

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

Wolf J, Heinrich R.
Biochem. J. 2000 Jan; 345 Pt 2:
321-334
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.

This model is hosted on
BioModels Database
and identified by:
BIOMD0000000691.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.

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