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Collective Dynamics of Ion Channels on Bilayer Lipid Membranes
[Image: see text] Ion channels self-organize on cellular and organelle membranes as clusters and mutually modulate their gating behavior. It has been reported that the efficient information transfer is achieved by cooperative clustering of ion channels. To address the origin and nature of collective...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992176/ https://www.ncbi.nlm.nih.gov/pubmed/33778266 http://dx.doi.org/10.1021/acsomega.0c06061 |
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author | Shrivastava, Rajan Ghosh, Subhendu |
author_facet | Shrivastava, Rajan Ghosh, Subhendu |
author_sort | Shrivastava, Rajan |
collection | PubMed |
description | [Image: see text] Ion channels self-organize on cellular and organelle membranes as clusters and mutually modulate their gating behavior. It has been reported that the efficient information transfer is achieved by cooperative clustering of ion channels. To address the origin and nature of collective dynamics in ion channel clusters, a statistical mechanical model, namely, the Zimm–Bragg-type model in two dimensions with unequal weight distribution in channel–channel interactions, has been proposed. Nearest neighbor interaction along with next-nearest neighbor interaction has been considered, assuming symmetric spatial organization. The multichannel bilayer electrophysiology recordings of the voltage-dependent anion channel (VDAC) from rat brain mitochondria have been analyzed in order to test and further extend the model. The model successfully describes the multichannel gating behavior and self-organization of the VDAC cluster. |
format | Online Article Text |
id | pubmed-7992176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-79921762021-03-26 Collective Dynamics of Ion Channels on Bilayer Lipid Membranes Shrivastava, Rajan Ghosh, Subhendu ACS Omega [Image: see text] Ion channels self-organize on cellular and organelle membranes as clusters and mutually modulate their gating behavior. It has been reported that the efficient information transfer is achieved by cooperative clustering of ion channels. To address the origin and nature of collective dynamics in ion channel clusters, a statistical mechanical model, namely, the Zimm–Bragg-type model in two dimensions with unequal weight distribution in channel–channel interactions, has been proposed. Nearest neighbor interaction along with next-nearest neighbor interaction has been considered, assuming symmetric spatial organization. The multichannel bilayer electrophysiology recordings of the voltage-dependent anion channel (VDAC) from rat brain mitochondria have been analyzed in order to test and further extend the model. The model successfully describes the multichannel gating behavior and self-organization of the VDAC cluster. American Chemical Society 2021-03-11 /pmc/articles/PMC7992176/ /pubmed/33778266 http://dx.doi.org/10.1021/acsomega.0c06061 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Shrivastava, Rajan Ghosh, Subhendu Collective Dynamics of Ion Channels on Bilayer Lipid Membranes |
title | Collective Dynamics of Ion Channels on Bilayer Lipid
Membranes |
title_full | Collective Dynamics of Ion Channels on Bilayer Lipid
Membranes |
title_fullStr | Collective Dynamics of Ion Channels on Bilayer Lipid
Membranes |
title_full_unstemmed | Collective Dynamics of Ion Channels on Bilayer Lipid
Membranes |
title_short | Collective Dynamics of Ion Channels on Bilayer Lipid
Membranes |
title_sort | collective dynamics of ion channels on bilayer lipid
membranes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992176/ https://www.ncbi.nlm.nih.gov/pubmed/33778266 http://dx.doi.org/10.1021/acsomega.0c06061 |
work_keys_str_mv | AT shrivastavarajan collectivedynamicsofionchannelsonbilayerlipidmembranes AT ghoshsubhendu collectivedynamicsofionchannelsonbilayerlipidmembranes |