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A stochastic model of ion channel cluster formation in the plasma membrane

Authors :
Claudia M. Moreno
Colleen E. Clancy
Samantha O’Dwyer
James S. Trimmer
Gonzalo Hernández-Hernández
Marc D. Binder
Sendoa Tajada
L. Fernando Santana
Daisuke Sato
Collin Matsumoto
Manuel F. Navedo
Rose E. Dixon
Source :
The Journal of General Physiology, The Journal of general physiology, vol 151, iss 9
Publication Year :
2019
Publisher :
Rockefeller University Press, 2019.

Abstract

Ion channels are often found in dense clusters within the plasma membranes of excitable cells. Based on experimental measurements of a wide range of channels in various cell types, Sato et al. propose that channel clusters form stochastically and that their size is regulated by a common feedback mechanism.<br />Ion channels are often found arranged into dense clusters in the plasma membranes of excitable cells, but the mechanisms underlying the formation and maintenance of these functional aggregates are unknown. Here, we tested the hypothesis that channel clustering is the consequence of a stochastic self-assembly process and propose a model by which channel clusters are formed and regulated in size. Our hypothesis is based on statistical analyses of the size distributions of the channel clusters we measured in neurons, ventricular myocytes, arterial smooth muscle, and heterologous cells, which in all cases were described by exponential functions, indicative of a Poisson process (i.e., clusters form in a continuous, independent, and memory-less fashion). We were able to reproduce the observed cluster distributions of five different types of channels in the membrane of excitable and tsA-201 cells in simulations using a computer model in which channels are “delivered” to the membrane at randomly assigned locations. The model’s three parameters represent channel cluster nucleation, growth, and removal probabilities, the values of which were estimated based on our experimental measurements. We also determined the time course of cluster formation and membrane dwell time for CaV1.2 and TRPV4 channels expressed in tsA-201 cells to constrain our model. In addition, we elaborated a more complex version of our model that incorporated a self-regulating feedback mechanism to shape channel cluster formation. The strong inference we make from our results is that CaV1.2, CaV1.3, BK, and TRPV4 proteins are all randomly inserted into the plasma membranes of excitable cells and that they form homogeneous clusters that increase in size until they reach a steady state. Further, it appears likely that cluster size for a diverse set of membrane-bound proteins and a wide range of cell types is regulated by a common feedback mechanism.

Details

Language :
English
ISSN :
15407748 and 00221295
Volume :
151
Issue :
9
Database :
OpenAIRE
Journal :
The Journal of General Physiology
Accession number :
edsair.doi.dedup.....33ba63a1abafa1dfcf2eb412e56e6a7d