On stochastic spatial patterns and neuronal polarity

Autores
Menchón, Silvia Adriana; Wio, Horacio Sergio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Polarization refers to asymmetric changes in cellular organization that occur in response toexternal or internal signals. Although neurons can spontaneously establish and maintain asymmetric dis-tributions of signaling molecules on the plasma membrane, it is not clear how intrinsic noise affects neuronalpolarization. In this work we present a stochastic model based on endocytosis, exocytosis and lateral dif-fusion, to study the effects of low number of molecules (high noise intensity), on neuronal polarization.Numerical results were obtained by solving the master equation using Gillespie’s algorithm. Our modelsuggests that the formation of a single pole of molecular asymmetry is very robust to noise; furthermore,in the presence of noise, neuronal polarization could occur even with reduced feedback strength.
Fil: Menchón, Silvia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
Fil: Wio, Horacio Sergio. Instituto de Física de Cantabria; España
Materia
Statistical And Nonlinear Physics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/31685
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On stochastic spatial patterns and neuronal polarityMenchón, Silvia AdrianaWio, Horacio SergioStatistical And Nonlinear Physicshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Polarization refers to asymmetric changes in cellular organization that occur in response toexternal or internal signals. Although neurons can spontaneously establish and maintain asymmetric dis-tributions of signaling molecules on the plasma membrane, it is not clear how intrinsic noise affects neuronalpolarization. In this work we present a stochastic model based on endocytosis, exocytosis and lateral dif-fusion, to study the effects of low number of molecules (high noise intensity), on neuronal polarization.Numerical results were obtained by solving the master equation using Gillespie’s algorithm. Our modelsuggests that the formation of a single pole of molecular asymmetry is very robust to noise; furthermore,in the presence of noise, neuronal polarization could occur even with reduced feedback strength.Fil: Menchón, Silvia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaFil: Wio, Horacio Sergio. Instituto de Física de Cantabria; EspañaSpringer2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/31685Wio, Horacio Sergio; Menchón, Silvia Adriana; On stochastic spatial patterns and neuronal polarity; Springer; European Physical Journal B - Condensed Matter; 87; 184; 6-2014; 1-81434-6028CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2014-50267-1info:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2014-50267-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:13:50Zoai:ri.conicet.gov.ar:11336/31685instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:13:50.513CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On stochastic spatial patterns and neuronal polarity
title On stochastic spatial patterns and neuronal polarity
spellingShingle On stochastic spatial patterns and neuronal polarity
Menchón, Silvia Adriana
Statistical And Nonlinear Physics
title_short On stochastic spatial patterns and neuronal polarity
title_full On stochastic spatial patterns and neuronal polarity
title_fullStr On stochastic spatial patterns and neuronal polarity
title_full_unstemmed On stochastic spatial patterns and neuronal polarity
title_sort On stochastic spatial patterns and neuronal polarity
dc.creator.none.fl_str_mv Menchón, Silvia Adriana
Wio, Horacio Sergio
author Menchón, Silvia Adriana
author_facet Menchón, Silvia Adriana
Wio, Horacio Sergio
author_role author
author2 Wio, Horacio Sergio
author2_role author
dc.subject.none.fl_str_mv Statistical And Nonlinear Physics
topic Statistical And Nonlinear Physics
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Polarization refers to asymmetric changes in cellular organization that occur in response toexternal or internal signals. Although neurons can spontaneously establish and maintain asymmetric dis-tributions of signaling molecules on the plasma membrane, it is not clear how intrinsic noise affects neuronalpolarization. In this work we present a stochastic model based on endocytosis, exocytosis and lateral dif-fusion, to study the effects of low number of molecules (high noise intensity), on neuronal polarization.Numerical results were obtained by solving the master equation using Gillespie’s algorithm. Our modelsuggests that the formation of a single pole of molecular asymmetry is very robust to noise; furthermore,in the presence of noise, neuronal polarization could occur even with reduced feedback strength.
Fil: Menchón, Silvia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
Fil: Wio, Horacio Sergio. Instituto de Física de Cantabria; España
description Polarization refers to asymmetric changes in cellular organization that occur in response toexternal or internal signals. Although neurons can spontaneously establish and maintain asymmetric dis-tributions of signaling molecules on the plasma membrane, it is not clear how intrinsic noise affects neuronalpolarization. In this work we present a stochastic model based on endocytosis, exocytosis and lateral dif-fusion, to study the effects of low number of molecules (high noise intensity), on neuronal polarization.Numerical results were obtained by solving the master equation using Gillespie’s algorithm. Our modelsuggests that the formation of a single pole of molecular asymmetry is very robust to noise; furthermore,in the presence of noise, neuronal polarization could occur even with reduced feedback strength.
publishDate 2014
dc.date.none.fl_str_mv 2014-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/31685
Wio, Horacio Sergio; Menchón, Silvia Adriana; On stochastic spatial patterns and neuronal polarity; Springer; European Physical Journal B - Condensed Matter; 87; 184; 6-2014; 1-8
1434-6028
CONICET Digital
CONICET
url http://hdl.handle.net/11336/31685
identifier_str_mv Wio, Horacio Sergio; Menchón, Silvia Adriana; On stochastic spatial patterns and neuronal polarity; Springer; European Physical Journal B - Condensed Matter; 87; 184; 6-2014; 1-8
1434-6028
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1140%2Fepjb%2Fe2014-50267-1
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjb/e2014-50267-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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