Toward a predictive model of Ca2+ puffs

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Item Type:	Article
Title:	Toward a predictive model of Ca2+ puffs
Creators Name:	Thul, R., Thurley, K. and Falcke, M.
Abstract:	We investigate the key characteristics of Ca(2+) puffs in deterministic and stochastic frameworks that all incorporate the cellular morphology of IP(3) receptor channel clusters. In the first step, we numerically study the Ca(2+) liberation in a three-dimensional representation of a cluster environment with reaction-diffusion dynamics in both the cytosol and the lumen. These simulations reveal that Ca(2+) concentrations at a releasing cluster range from 80 to 170 microM and equilibrate almost instantaneously on the time scale of the release duration. These highly elevated Ca(2+) concentrations eliminate Ca(2+) oscillations in a deterministic model of an IP(3)R channel cluster at physiological parameter values as revealed by a linear stability analysis. The reason lies in the saturation of all feedback processes in the IP(3)R gating dynamics, so that only fluctuations can restore experimentally observed Ca(2+) oscillations. In this spirit, we derive master equations that allow us to analytically quantify the onset of Ca(2+) puffs and hence the stochastic time scale of intracellular Ca(2+) dynamics. Moving up the spatial scale, we suggest to formulate cellular dynamics in terms of waiting time distribution functions. This approach prevents the state space explosion that is typical for the description of cellular dynamics based on channel states and still contains information on molecular fluctuations. We illustrate this method by studying global Ca(2+) oscillations.
Keywords:	Algorithms, Biological Clocks, Calcium Channels, Calcium Signaling, Computer Simulation, Inositol 1,4,5-Trisphosphate Receptors, Ion Channel Gating, Biological Models, Statistical Models, Nonlinear Dynamics, Oscillometry, Animals
Source:	Chaos
ISSN:	1054-1500
Publisher:	American Institute of Physics
Volume:	19
Number:	3
Page Range:	037108
Date:	18 September 2009
Official Publication:	https://doi.org/10.1063/1.3183809
PubMed:	View item in PubMed

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