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A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration
Current mainstream neural computing is based on the electricity model proposed by Hodgkin and Huxley in 1952, the core of which is ion passive transmembrane transport controlled by ion channels. However, studies on the evolutionary history of ion channels have shown that some neuronal ion channels p...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349753/ https://www.ncbi.nlm.nih.gov/pubmed/30723401 http://dx.doi.org/10.3389/fncom.2018.00110 |
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author | Wang, Vincent Qiqian Liu, Shenquan |
author_facet | Wang, Vincent Qiqian Liu, Shenquan |
author_sort | Wang, Vincent Qiqian |
collection | PubMed |
description | Current mainstream neural computing is based on the electricity model proposed by Hodgkin and Huxley in 1952, the core of which is ion passive transmembrane transport controlled by ion channels. However, studies on the evolutionary history of ion channels have shown that some neuronal ion channels predate the neurons. Thus, to deepen our understanding of neuronal activities, ion channel models should be applied to other cells. Expanding the scope of electrophysiological experiments from nerve to muscle, animal to plant, and metazoa to protozoa, has lead the discovery of a number of ion channels. Moreover, the properties of these newly discovered ion channels are too complex to be described by current common models. Hence this paper has presented a convenient method for estimating the distribution of ions under an electric field and established a general ionic concentration-based model of ion passive transmembrane transport that is simple but capable of explaining and simulating the complex phenomena of patch clamp experiments, is applicable to different ion channels in different cells of different species, and conforms to the current general understanding of ion channels. Finally, we designed a series of mathematical experiments, which we have compared with the results of typical electrophysiological experiments conducted on plant cells, oocytes, myocytes, cardiomyocytes, and neurocytes, to verify the model. |
format | Online Article Text |
id | pubmed-6349753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63497532019-02-05 A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration Wang, Vincent Qiqian Liu, Shenquan Front Comput Neurosci Neuroscience Current mainstream neural computing is based on the electricity model proposed by Hodgkin and Huxley in 1952, the core of which is ion passive transmembrane transport controlled by ion channels. However, studies on the evolutionary history of ion channels have shown that some neuronal ion channels predate the neurons. Thus, to deepen our understanding of neuronal activities, ion channel models should be applied to other cells. Expanding the scope of electrophysiological experiments from nerve to muscle, animal to plant, and metazoa to protozoa, has lead the discovery of a number of ion channels. Moreover, the properties of these newly discovered ion channels are too complex to be described by current common models. Hence this paper has presented a convenient method for estimating the distribution of ions under an electric field and established a general ionic concentration-based model of ion passive transmembrane transport that is simple but capable of explaining and simulating the complex phenomena of patch clamp experiments, is applicable to different ion channels in different cells of different species, and conforms to the current general understanding of ion channels. Finally, we designed a series of mathematical experiments, which we have compared with the results of typical electrophysiological experiments conducted on plant cells, oocytes, myocytes, cardiomyocytes, and neurocytes, to verify the model. Frontiers Media S.A. 2019-01-22 /pmc/articles/PMC6349753/ /pubmed/30723401 http://dx.doi.org/10.3389/fncom.2018.00110 Text en Copyright © 2019 Wang and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Vincent Qiqian Liu, Shenquan A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title | A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title_full | A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title_fullStr | A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title_full_unstemmed | A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title_short | A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration |
title_sort | general model of ion passive transmembrane transport based on ionic concentration |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349753/ https://www.ncbi.nlm.nih.gov/pubmed/30723401 http://dx.doi.org/10.3389/fncom.2018.00110 |
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