Modeling active cell movement with the Potts model

Autores
Guisoni, Nara Cristina; Mazzitello, Karina Irma; Diambra, Luis Aníbal
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the last decade, the cellular Potts model has been extensively used to model interacting cell systems at the tissue-level. However, in early applications of this model, cell movement was taken as a consequence of membrane fluctuations due to cell-cell interactions, or as a response to an external chemotactic gradient. Recent findings have shown that eukaryotic cells can exhibit persistent displacements across scales larger than cell size, even in the absence of external signals. Persistent cell motion has been incorporated to the cellular Potts model by many authors in the context of collective motion, chemotaxis and morphogenesis. In this paper, we use the cellular Potts model in combination with a random field applied over each cell. This field promotes a uniform cell motion in a given direction during a certain time interval, after which the movement direction changes. The dynamics of the direction is coupled to a first order autoregressive process. We investigated statistical properties, such as the mean-squared displacement and spatio-temporal correlations, associated to these self-propelled in silico cells in different conditions. The proposed model emulates many properties observed in different experimental setups. By studying low and high density cultures, we find that cell-cell interactions decrease the effective persistent time.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
Centro Regional de Estudios Genómicos
Materia
Física
Biología
Cell adhesion
Cell motility
Cell-cell interactions
Cellular potts model
Random walk
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/98114

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network_name_str SEDICI (UNLP)
spelling Modeling active cell movement with the Potts modelGuisoni, Nara CristinaMazzitello, Karina IrmaDiambra, Luis AníbalFísicaBiologíaCell adhesionCell motilityCell-cell interactionsCellular potts modelRandom walkIn the last decade, the cellular Potts model has been extensively used to model interacting cell systems at the tissue-level. However, in early applications of this model, cell movement was taken as a consequence of membrane fluctuations due to cell-cell interactions, or as a response to an external chemotactic gradient. Recent findings have shown that eukaryotic cells can exhibit persistent displacements across scales larger than cell size, even in the absence of external signals. Persistent cell motion has been incorporated to the cellular Potts model by many authors in the context of collective motion, chemotaxis and morphogenesis. In this paper, we use the cellular Potts model in combination with a random field applied over each cell. This field promotes a uniform cell motion in a given direction during a certain time interval, after which the movement direction changes. The dynamics of the direction is coupled to a first order autoregressive process. We investigated statistical properties, such as the mean-squared displacement and spatio-temporal correlations, associated to these self-propelled <i>in silico</i> cells in different conditions. The proposed model emulates many properties observed in different experimental setups. By studying low and high density cultures, we find that cell-cell interactions decrease the effective persistent time.Instituto de Investigaciones Fisicoquímicas Teóricas y AplicadasCentro Regional de Estudios Genómicos2018-06-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1-11http://sedici.unlp.edu.ar/handle/10915/98114enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/84898info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fphy.2018.00061/fullinfo:eu-repo/semantics/altIdentifier/issn/2296-424Xinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fphy.2018.00061info:eu-repo/semantics/altIdentifier/hdl/11336/84898info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:20:30Zoai:sedici.unlp.edu.ar:10915/98114Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:20:31.177SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Modeling active cell movement with the Potts model
title Modeling active cell movement with the Potts model
spellingShingle Modeling active cell movement with the Potts model
Guisoni, Nara Cristina
Física
Biología
Cell adhesion
Cell motility
Cell-cell interactions
Cellular potts model
Random walk
title_short Modeling active cell movement with the Potts model
title_full Modeling active cell movement with the Potts model
title_fullStr Modeling active cell movement with the Potts model
title_full_unstemmed Modeling active cell movement with the Potts model
title_sort Modeling active cell movement with the Potts model
dc.creator.none.fl_str_mv Guisoni, Nara Cristina
Mazzitello, Karina Irma
Diambra, Luis Aníbal
author Guisoni, Nara Cristina
author_facet Guisoni, Nara Cristina
Mazzitello, Karina Irma
Diambra, Luis Aníbal
author_role author
author2 Mazzitello, Karina Irma
Diambra, Luis Aníbal
author2_role author
author
dc.subject.none.fl_str_mv Física
Biología
Cell adhesion
Cell motility
Cell-cell interactions
Cellular potts model
Random walk
topic Física
Biología
Cell adhesion
Cell motility
Cell-cell interactions
Cellular potts model
Random walk
dc.description.none.fl_txt_mv In the last decade, the cellular Potts model has been extensively used to model interacting cell systems at the tissue-level. However, in early applications of this model, cell movement was taken as a consequence of membrane fluctuations due to cell-cell interactions, or as a response to an external chemotactic gradient. Recent findings have shown that eukaryotic cells can exhibit persistent displacements across scales larger than cell size, even in the absence of external signals. Persistent cell motion has been incorporated to the cellular Potts model by many authors in the context of collective motion, chemotaxis and morphogenesis. In this paper, we use the cellular Potts model in combination with a random field applied over each cell. This field promotes a uniform cell motion in a given direction during a certain time interval, after which the movement direction changes. The dynamics of the direction is coupled to a first order autoregressive process. We investigated statistical properties, such as the mean-squared displacement and spatio-temporal correlations, associated to these self-propelled <i>in silico</i> cells in different conditions. The proposed model emulates many properties observed in different experimental setups. By studying low and high density cultures, we find that cell-cell interactions decrease the effective persistent time.
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
Centro Regional de Estudios Genómicos
description In the last decade, the cellular Potts model has been extensively used to model interacting cell systems at the tissue-level. However, in early applications of this model, cell movement was taken as a consequence of membrane fluctuations due to cell-cell interactions, or as a response to an external chemotactic gradient. Recent findings have shown that eukaryotic cells can exhibit persistent displacements across scales larger than cell size, even in the absence of external signals. Persistent cell motion has been incorporated to the cellular Potts model by many authors in the context of collective motion, chemotaxis and morphogenesis. In this paper, we use the cellular Potts model in combination with a random field applied over each cell. This field promotes a uniform cell motion in a given direction during a certain time interval, after which the movement direction changes. The dynamics of the direction is coupled to a first order autoregressive process. We investigated statistical properties, such as the mean-squared displacement and spatio-temporal correlations, associated to these self-propelled <i>in silico</i> cells in different conditions. The proposed model emulates many properties observed in different experimental setups. By studying low and high density cultures, we find that cell-cell interactions decrease the effective persistent time.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/98114
url http://sedici.unlp.edu.ar/handle/10915/98114
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/84898
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fphy.2018.00061/full
info:eu-repo/semantics/altIdentifier/issn/2296-424X
info:eu-repo/semantics/altIdentifier/doi/10.3389/fphy.2018.00061
info:eu-repo/semantics/altIdentifier/hdl/11336/84898
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
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instname:Universidad Nacional de La Plata
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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