dc.creatorGuisoni, Nara Cristina
dc.creatorMazzitello, Karina Irma
dc.creatorDiambra, Luis Aníbal
dc.date2018-06-20
dc.date2020-06-11T18:41:55Z
dc.date.accessioned2023-07-14T20:09:02Z
dc.date.available2023-07-14T20:09:02Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/98114
dc.identifierhttps://ri.conicet.gov.ar/11336/84898
dc.identifierhttps://www.frontiersin.org/articles/10.3389/fphy.2018.00061/full
dc.identifierissn:2296-424X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7438101
dc.descriptionIn 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.
dc.descriptionInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
dc.descriptionCentro Regional de Estudios Genómicos
dc.formatapplication/pdf
dc.format1-11
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectFísica
dc.subjectBiología
dc.subjectCell adhesion
dc.subjectCell motility
dc.subjectCell-cell interactions
dc.subjectCellular potts model
dc.subjectRandom walk
dc.titleModeling active cell movement with the Potts model
dc.typeArticulo
dc.typeArticulo


Este ítem pertenece a la siguiente institución