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Adi Taflia

Publications and source records attributed to Adi Taflia.

2 recordsLinked to original sources

Estimating the synaptic current in a multi-conductance AMPA receptor model

A pre-synaptic neuron releases diffusing neurotransmitters such as glutamate that activate post-synaptic receptors. The amplitude of the post-synaptic current, mostly mediated by glutamatergic (AMPARs) receptors, is a fundamental signal that may generate an action potential. However, although various simulation results \cite{kullman,Barbour,Raghavachari} have addressed how synapses control the post-synaptic current, it is still unclear how this current depends analytically on factors such as the synaptic cleft geometry, the distribution, the number and the multi-conductance state of receptors, the geometry of post-synaptic density (PSD) and the neurotransmitter release location. To estimate the synaptic current maximal amplitude, we present a semi-analytical model of glutamate diffusing in the synaptic cleft. We modeled receptors as multi-conductance channels and we find that PSD morphological changes can significantly modulate the synaptic current, which is maximally reliable (the coefficient of variation is minimal) for an optimal size of the PSD, that depends on the vesicular release active zone. The existence of an optimal PSD size is related to nonlinear phenomena such as the multi-binding cooperativity of the neurotransmitter to the receptors. We conclude that changes in the PSD geometry can sustain a form of synaptic plasticity, independent of a change in the number of receptors.

q-bio.NC

Dwell time of a Brownian interacting molecule in a cellular microdomain

The time spent by an interacting Brownian molecule inside a bounded microdomain has many applications in cellular biology, because the number of bounds is a quantitative signal, which can initiate a cascade of chemical reactions and thus has physiological consequences. In the present article, we propose to estimate the mean time spent by a Brownian molecule inside a microdomain $Ω$ which contains small holes on the boundary and agonist molecules located inside. We found that the mean time depends on several parameters such as the backward binding rate (with the agonist molecules), the mean escape time from the microdomain and the mean time a molecule reaches the binding sites (forward binding rate). In addition, we estimate the mean and the variance of the number of bounds made by a molecule before it exits $Ω$. These estimates rely on a boundary layer analysis of a conditional mean first passage time, solution of a singular partial differential equation. In particular, we apply the present results to obtain an estimate of the mean time spent (Dwell time) by a Brownian receptor inside a synaptic domain, when it moves freely by lateral diffusion on the surface of a neuron and interacts locally with scaffolding molecules.

physics.bio-ph