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Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics
dc.contributor.author | Cervera, Javier | |
dc.contributor.author | Alcaraz, Antonio | |
dc.contributor.author | Mafe, Salvador | |
dc.date.accessioned | 2018-06-06T15:42:30Z | |
dc.date.available | 2018-06-06T15:42:30Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | CERVERA, Javier; ALCARAZ, Antonio; MAFE, Salvador. Bioelectrical signals and ion channels in the modeling of multicellular patterns and cancer biophysics. Scientific reports, 2016, 6: 20403 | ca_CA |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/10234/175004 | |
dc.description.abstract | 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. | ca_CA |
dc.format.extent | 14 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Nature Publishing Group | ca_CA |
dc.relation.isPartOf | Scientific reports, 2016, 6: 20403. | ca_CA |
dc.rights | 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/ © 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. | ca_CA |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | biological physics | ca_CA |
dc.subject | ion transport | ca_CA |
dc.title | Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1038/srep20403 | |
dc.relation.projectID | Financial supports by the Generalitat Valenciana (Program of Excellence Prometeo/GV/0069), the Spanish Ministry of Economic Affairs and Competitiveness (MAT2015-65011-P and FIS2013-40473-P), and FEDER are gratefully acknowledged. | ca_CA |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://www.nature.com/articles/srep20403 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
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© 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.