title: Hybrid Markov-mass action law model for cell activation by rare binding events: Application to calcium induced vesicular release at neuronal synapses.
abstract: Binding of molecules, ions or proteins to small target sites is a generic step of cell activation. This process relies on rare stochastic events where a particle located in a large bulk has to find small and often hidden targets. We present here a hybrid discrete-continuum model that takes into account a stochastic regime governed by rare events and a continuous regime in the bulk. The rare discrete binding events are modeled by a Markov chain for the encounter of small targets by few Brownian particles, for which the arrival time is Poissonian. The large ensemble of particles is described by mass action laws. We use this novel model to predict the time distribution of vesicular release at neuronal synapses. Vesicular release is triggered by the binding of few calcium ions that can originate either from the synaptic bulk or from the entry through calcium channels. We report here that the distribution of release time is bimodal although it is triggered by a single fast action potential. While the first peak follows a stimulation, the second corresponds to the random arrival over much longer time of ions located in the synaptic terminal to small binding vesicular targets. To conclude, the present multiscale stochastic modeling approach allows studying cellular events based on integrating discrete molecular events over several time scales.
authors.affiliation: Computational Biology and Applied Mathematics, Ecole Normale Supérieure Paris, France.
authors.forename: Claire
authors.initials: C
authors.lastname: Guerrier
authors.affiliation: Computational Biology and Applied Mathematics, Ecole Normale Supérieure Paris, France.|DAMTP and Churchill College, University of Cambridge, Cambridge CB30DS United Kingdom.
authors.forename: David
authors.initials: D
authors.lastname: Holcman
mesh_terms: D055592:Biophysical Phenomena; D002118:Calcium / Q000378:metabolism*; D003198:Computer Simulation; D008390:Markov Chains; D008959:Models, Neurological; D009474:Neurons / Q000378:metabolism*; D017729:Presynaptic Terminals / Q000378:metabolism; D013572:Synaptic Vesicles / Q000378:metabolism*; D013997:Time Factors
chemical_list: D002118:Calcium