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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/98114
Ver los metadatos del registro completo
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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 http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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http://sedici.unlp.edu.ar/handle/10915/98114 |
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http://sedici.unlp.edu.ar/handle/10915/98114 |
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eng |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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