Literature DB >> 17600404

Dwell time of a Brownian molecule in a microdomain with traps and a small hole on the boundary.

Adi Taflia1, David Holcman.   

Abstract

We calculate the mean time a Brownian particle spends in a domain with traps and the number of bonds it makes before escaping through a small hole in the boundary. This mean time, called the Dwell time, depends on the backward binding rate (with the trap, e.g., scaffolding molecules), the mean time to reach the trap (forward binding rate), and the size of the hole. We estimate the mean and variance of the number of bonds made prior to exit. In a biochemical context, a quantitative signal occurs when the mean number of bonds exceeds a certain threshold, which may initiate a cascade of chemical reactions that have physiological consequences. We apply the present results to obtain estimates of the mean time a Brownian receptor spends inside a synaptic domain, when it moves freely by lateral diffusion on the membrane of a neuron and interacts at a synapse with scaffolding molecules.

Mesh:

Year:  2007        PMID: 17600404     DOI: 10.1063/1.2746840

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  5 in total

Review 1.  Analysis and Interpretation of Superresolution Single-Particle Trajectories.

Authors:  D Holcman; N Hoze; Z Schuss
Journal:  Biophys J       Date:  2015-11-03       Impact factor: 4.033

2.  A dynamic corral model of receptor trafficking at a synapse.

Authors:  Paul C Bressloff; Berton A Earnshaw
Journal:  Biophys J       Date:  2009-03-04       Impact factor: 4.033

3.  Residence times of receptors in dendritic spines analyzed by stochastic simulations in empirical domains.

Authors:  Nathanael Hoze; David Holcman
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

4.  Synapse geometry and receptor dynamics modulate synaptic strength.

Authors:  Dominik Freche; Ulrike Pannasch; Nathalie Rouach; David Holcman
Journal:  PLoS One       Date:  2011-10-03       Impact factor: 3.240

5.  Diffusion laws in dendritic spines.

Authors:  David Holcman; Zeev Schuss
Journal:  J Math Neurosci       Date:  2011-10-27       Impact factor: 1.300

  5 in total

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