Fig. 3 | Communications Biology

Fig. 3

From: Stochastic modelling reveals mechanisms of metabolic heterogeneity

Fig. 3The alternative text for this image may have been generated using AI.

Emergence of metabolic multimodality. We used the PMM approximation to find regimes for multimodality through perturbations to the enzyme kinetics. We vary the kinetic parameter K to control the dependency of the Poisson parameter λ(netot) in Eq. (4) on the total enzyme abundance. Parameter values are λ∞ = 750 molecules and K = {10.0400, 2.1630, 0.4660} molecules obtained by variations to the kinetic rate constants kcat and krev with a constant ratio kcat/krev. We shape the mean enzyme abundance with the promoter switching rates kon = {1.56, 5.9, 20} × 10−4 s−1 and koff = {9.8, 9.3, 8} × 10−4 s−1. From the PMM, we found intricate patterns of multimodal distributions in the metabolite, all of which show an excellent match with the corresponding Gillespie simulations. The simulated time courses show metabolite numbers traversing various quasi-stationary regimes

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