Modeling active cell movement with the Potts model

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...

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Detalles Bibliográficos
Autores principales:	Guisoni, Nara Cristina, Mazzitello, Karina Irma, Diambra, Luis Aníbal
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2018
Materias:	Física Biología Cell adhesion Cell motility Cell-cell interactions Cellular potts model Random walk
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/98114 https://ri.conicet.gov.ar/11336/84898 https://www.frontiersin.org/articles/10.3389/fphy.2018.00061/full
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-98114
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Física Biología Cell adhesion Cell motility Cell-cell interactions Cellular potts model Random walk
spellingShingle	Física Biología Cell adhesion Cell motility Cell-cell interactions Cellular potts model Random walk Guisoni, Nara Cristina Mazzitello, Karina Irma Diambra, Luis Aníbal Modeling active cell movement with the Potts model
topic_facet	Física Biología Cell adhesion Cell motility Cell-cell interactions Cellular potts model Random walk
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.
format	Articulo Articulo
author	Guisoni, Nara Cristina Mazzitello, Karina Irma Diambra, Luis Aníbal
author_facet	Guisoni, Nara Cristina Mazzitello, Karina Irma Diambra, Luis Aníbal
author_sort	Guisoni, Nara Cristina
title	Modeling active cell movement with the Potts model
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
publishDate	2018
url	http://sedici.unlp.edu.ar/handle/10915/98114 https://ri.conicet.gov.ar/11336/84898 https://www.frontiersin.org/articles/10.3389/fphy.2018.00061/full
work_keys_str_mv	AT guisoninaracristina modelingactivecellmovementwiththepottsmodel AT mazzitellokarinairma modelingactivecellmovementwiththepottsmodel AT diambraluisanibal modelingactivecellmovementwiththepottsmodel
bdutipo_str	Repositorios
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Modeling active cell movement with the Potts model

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