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Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics
Bioelectrical signals and ion channels are central to spatial patterns in cell ensembles, a problem of fundamental interest in positional information and cancer processes. We propose a model for electrically connected cells based on simple biological concepts: i) the membrane potential of a single c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740742/ https://www.ncbi.nlm.nih.gov/pubmed/26841954 http://dx.doi.org/10.1038/srep20403 |
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author | Cervera, Javier Alcaraz, Antonio Mafe, Salvador |
author_facet | Cervera, Javier Alcaraz, Antonio Mafe, Salvador |
author_sort | Cervera, Javier |
collection | PubMed |
description | Bioelectrical signals and ion channels are central to spatial patterns in cell ensembles, a problem of fundamental interest in positional information and cancer processes. We propose a model for electrically connected cells based on simple biological concepts: i) the membrane potential of a single cell characterizes its electrical state; ii) the long-range electrical coupling of the multicellular ensemble is realized by a network of gap junction channels between neighboring cells; and iii) the spatial distribution of an external biochemical agent can modify the conductances of the ion channels in a cell membrane and the multicellular electrical state. We focus on electrical effects in small multicellular ensembles, ignoring slow diffusional processes. The spatio-temporal patterns obtained for the local map of cell electric potentials illustrate the normalization of regions with abnormal cell electrical states. The effects of intercellular coupling and blocking of specific channels on the electrical patterns are described. These patterns can regulate the electrically-induced redistribution of charged nanoparticles over small regions of a model tissue. The inclusion of bioelectrical signals provides new insights for the modeling of cancer biophysics because collective multicellular states show electrical coupling mechanisms that are not readily deduced from biochemical descriptions at the individual cell level. |
format | Online Article Text |
id | pubmed-4740742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47407422016-02-09 Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics Cervera, Javier Alcaraz, Antonio Mafe, Salvador Sci Rep Article Bioelectrical signals and ion channels are central to spatial patterns in cell ensembles, a problem of fundamental interest in positional information and cancer processes. We propose a model for electrically connected cells based on simple biological concepts: i) the membrane potential of a single cell characterizes its electrical state; ii) the long-range electrical coupling of the multicellular ensemble is realized by a network of gap junction channels between neighboring cells; and iii) the spatial distribution of an external biochemical agent can modify the conductances of the ion channels in a cell membrane and the multicellular electrical state. We focus on electrical effects in small multicellular ensembles, ignoring slow diffusional processes. The spatio-temporal patterns obtained for the local map of cell electric potentials illustrate the normalization of regions with abnormal cell electrical states. The effects of intercellular coupling and blocking of specific channels on the electrical patterns are described. These patterns can regulate the electrically-induced redistribution of charged nanoparticles over small regions of a model tissue. The inclusion of bioelectrical signals provides new insights for the modeling of cancer biophysics because collective multicellular states show electrical coupling mechanisms that are not readily deduced from biochemical descriptions at the individual cell level. Nature Publishing Group 2016-02-04 /pmc/articles/PMC4740742/ /pubmed/26841954 http://dx.doi.org/10.1038/srep20403 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cervera, Javier Alcaraz, Antonio Mafe, Salvador Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title_full | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title_fullStr | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title_full_unstemmed | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title_short | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics |
title_sort | bioelectrical signals and ion channels in the modeling of multicellular patterns and cancer biophysics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740742/ https://www.ncbi.nlm.nih.gov/pubmed/26841954 http://dx.doi.org/10.1038/srep20403 |
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