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A stochastic model of ion channel cluster formation in the plasma membrane
- 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.
- Subjects :
- Stochastic modelling
Physiology
1.1 Normal biological development and functioning
Medical Physiology
Nucleation
Models, Biological
Muscle, Smooth, Vascular
Quantitative Biology::Cell Behavior
Cell membrane
03 medical and health sciences
0302 clinical medicine
Models
Underpinning research
Vascular
medicine
Cluster (physics)
Cluster Analysis
Humans
Computer Simulation
Myocytes, Cardiac
Ion channel
Research Articles
030304 developmental biology
Computer Science::Information Theory
Physics
Neurons
0303 health sciences
Myocytes
Stochastic Processes
Steady state
Cell Membrane
Neurosciences
Biological
Dwell time
Membrane
medicine.anatomical_structure
Muscle
Smooth
Calcium Channels
Biological system
Cardiac
030217 neurology & neurosurgery
Research Article
Subjects
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