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Spatial heterogeneity in collective electrotaxis: continuum modelling and applications to optimal control.
Martina-Perez, Simon F; Breinyn, Isaac B; Cohen, Daniel J; Baker, Ruth E.
Afiliación
  • Martina-Perez SF; Mathematical Institute, University of Oxd, Oxford, United Kingdom.
  • Breinyn IB; Department of Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA.
  • Cohen DJ; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA.
  • Baker RE; Mathematical Institute, University of Oxd, Oxford, United Kingdom.
bioRxiv ; 2024 Feb 29.
Article en En | MEDLINE | ID: mdl-38463960
ABSTRACT
Collective electrotaxis is a phenomenon that occurs when a cellular collective, for example an epithelial monolayer, is subjected to an electric field. Biologically, it is well known that the velocity of migration during the collective electrotaxis of large epithelia exhibits significant spatial heterogeneity. In this work, we demonstrate that the heterogeneity of velocities in the electrotaxing epithelium can be accounted for by a continuum model of cue competition in different tissue regions. Having established a working model of competing migratory cues in the migrating epithelium, we develop and validate a reaction-convection-diffusion model that describes the movement of an epithelial monolayer as it undergoes electrotaxis. We use the model to predict how tissue size and geometry affect the collective migration of MDCK monolayers, and to propose several ways in which electric fields can be designed such that they give rise to a desired spatial pattern of collective migration. We conclude with two examples that demonstrate practical applications of the method in designing bespoke stimulation protocols.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos