help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

Biophys. J. BioFAST: First Published July 14, 2006. doi:10.1529/biophysj.106.081935
© 2006 by the Biophysical Society.


A more recent version of this article appeared on October 1, 2006.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow All Versions of this Article:
biophysj.106.081935v1
91/7/2405    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Holcman, D.
Right arrow Articles by Triller, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Holcman, D.
Right arrow Articles by Triller, A.

BIOPHYSICAL THEORY AND MODELING

Modeling synaptic dynamics driven by receptor lateral diffusion

David Holcman 1* and Antoine Triller 2

1 Weizmann Institute of Science
2 Ecole Normale Superieure

* To whom correspondence should be addressed. E-mail: david.holcman{at}weizmann.ac.il.

Submitted on January 28, 2006
Revised on April 6, 2006
Accepted on 16 June 2006


   Abstract
The synaptic weight between a pre- and a postsynaptic neuron depends in part on the number of postsynaptic receptors. On the surface of neurons, receptors traffic by random motion in and out from a microstructure called the Postsynaptic Density (PSD). In the PSD, receptors can be stabilized at the membrane when they bind to scaffolding proteins. We propose a mathematical model to compute the postsynaptic counterpart of the synaptic weight based on receptor trafficking. We take into account the receptor fluxes at the PSD, which can be regulated by neuronal activity and the interactions of receptors with the scaffolding molecules. Using a Markovian approach, we estimate the mean and the fluctuations of the number of bound receptors. When the number of receptors is large, a deterministic system is also derived. These equations can be used to fit FRAP experiments to determine in living neurons, the chemical binding constants of receptors to scaffolding molecules at synapses.

Key Words: Markov chain, diffusion, mathematical modeling, receptors, synapses, trafficking







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2006 by the Biophysical Society.