vG1toT1

G1 = {2.0}T1

vG2toT2

G2 = {2.0}T2

vIn

vIn

∅ = G1 + G2

vOut1T1

T1 = ∅

vOut1T2

T2 = ∅

vT2toT1

vT2toT1

T2 = T1

Global parameters

Assignment rules

Tsum = T2 + T1

Tdiff = T2 - T1

Function definitions

Note that constraints are not enforced in simulations. It remains the responsibility of the user to verify that simulation results satisfy these constraints.


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How yeast cells synchronize their glycolytic oscillations: a perturbation analytic treatment.

  • M Bier
  • Barbara M Bakker
  • Hans V Westerhoff
Biophys. J. 2000; 78 (3): 1087-1093
Abstract
Of all the lifeforms that obtain their energy from glycolysis, yeast cells are among the most basic. Under certain conditions the concentrations of the glycolytic intermediates in yeast cells can oscillate. Individual yeast cells in a suspension can synchronize their oscillations to get in phase with each other. Although the glycolytic oscillations originate in the upper part of the glycolytic chain, the signaling agent in this synchronization appears to be acetaldehyde, a membrane-permeating metabolite at the bottom of the anaerobic part of the glycolytic chain. Here we address the issue of how a metabolite remote from the pacemaking origin of the oscillation may nevertheless control the synchronization. We present a quantitative model for glycolytic oscillations and their synchronization in terms of chemical kinetics. We show that, in essence, the common acetaldehyde concentration can be modeled as a small perturbation on the "pacemaker" whose effect on the period of the oscillations of cells in the same suspension is indeed such that a synchronization develops.
The SBML for this model was obtained from the BioModels database (BioModels ID: BIOMD0000000254) Biomodels notes: The model reproduces figure 3 of the reference publication. The model was integrated and simulated using Copasi v4.5.31. JWS Online curation: This model was curated by reproducing the figures as described in the BioModels Notes. No additional changes were made.