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Cell migration in complex environments: chemotaxis and topographical obstacles

hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorCUCCHI, Alessandro
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorETCHEGARAY, Christèle
hal.structure.identifierLaboratoire de Mathématiques et Modélisation d'Evry [LaMME]
dc.contributor.authorMEUNIER, Nicolas
hal.structure.identifierInstitut de Recherche Mathématique Avancée [IRMA]
dc.contributor.authorNAVORET, Laurent
hal.structure.identifierInstitut Montpelliérain Alexander Grothendieck [IMAG]
dc.contributor.authorSABBAGH, Lamis
dc.date.accessioned2024-04-04T02:58:22Z
dc.date.available2024-04-04T02:58:22Z
dc.date.issued2020
dc.identifier.issn2267-3059
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192653
dc.description.abstractEnCell migration is a complex phenomenon that plays an important role in many biological processes. Our aim here is to build and study models of reduced complexity to describe some aspects of cell motility in tissues. Precisely, we study the impact of some biochemical and mechanical cues on the cell dynamics in a 2D framework. For that purpose, we model the cell as an active particle with a velocity solution to a particular Stochastic Differential Equation that describes the intracellular dynamics as well as the presence of some biochemical cues. In the 1D case, an asymptotic analysis puts to light a transition between migration dominated by the cell's internal activity and migration dominated by an external signal. In a second step, we use the contact algorithm introduced in [16, 19] to describe the cell dynamics in a crowded environment. In the 2D case, we study how a cell submitted to a constant directional force that mimics the action of chemoattractant, behaves in the presence of obstacles. We numerically observe the existence of a velocity value that the cell can not exceed even if the directional force intensity increases. We find that this threshold value depends on the number of obstacles. Our result confirms a result that was already observed in a discrete framework in [4].
dc.language.isoen
dc.publisherEDP Sciences
dc.title.enCell migration in complex environments: chemotaxis and topographical obstacles
dc.typeArticle de revue
dc.identifier.doi10.1051/proc/202067012
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.journalESAIM: Proceedings and Surveys
bordeaux.page191-209
bordeaux.volume67
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02126709
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02126709v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=ESAIM:%20Proceedings%20and%20Surveys&rft.date=2020&rft.volume=67&rft.spage=191-209&rft.epage=191-209&rft.eissn=2267-3059&rft.issn=2267-3059&rft.au=CUCCHI,%20Alessandro&ETCHEGARAY,%20Christ%C3%A8le&MEUNIER,%20Nicolas&NAVORET,%20Laurent&SABBAGH,%20Lamis&rft.genre=article


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