Spatial self-organization in hybrid models of multicellular adhesion

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• dc.contributor.author Bonforti, Adrianoca
• dc.contributor.author Duran Nebreda, Salvador, 1987-ca
• dc.contributor.author Montañez, Raúlca
• dc.contributor.author Solé Vicente, Ricard, 1962-ca
• dc.date.accessioned 2017-06-15T10:28:59Z
• dc.date.issued 2016
• dc.description.abstract Spatial self-organization emerges in distributed systems exhibiting local interactions when nonlinearities and the appropriate propagation of signals are at work. These kinds of phenomena can be modeled with different frameworks, typically cellular automata or reaction-diffusion systems. A different class of dynamical processes involves the correlated movement of agents over space, which can be mediated through chemotactic movement or minimization of cell-cell interaction energy. A classic example of the latter is given by the formation of spatially segregated assemblies when cells display differential adhesion. Here, we consider a new class of dynamical models, involving cell adhesion among two stochastically exchangeable cell states as a minimal model capable of exhibiting well-defined, ordered spatial patterns. Our results suggest that a whole space of pattern-forming rules is hosted by the combination of physical differential adhesion and the value of probabilities modulating cell phenotypic switching, showing that Turing-like patterns can be obtained without resorting to reaction-diffusion processes. If the model is expanded allowing cells to proliferate and die in an environment where diffusible nutrient and toxic waste are at play, different phases are observed, characterized by regularly spaced patterns. The analysis of the parameter space reveals that certain phases reach higher population levels than other modes of organization. A detailed exploration of the mean-field theory is also presented. Finally, we let populations of cells with different adhesion matrices compete for reproduction, showing that, in our model, structural organization can improve the fitness of a given cell population. The implications of these results for ecological and evolutionary models of pattern formation and the emergence of multicellularity are outlined.
• dc.description.sponsorship This work has been supported by the Botín Foundation by Banco Santander through its Santander Universities Global Division, a MINECO fellowship and by the Santa Fe Institute
• dc.format.mimetype application/pdfca
• dc.identifier.citation Bonforti A, Duran-Nebreda S, Montañez R, Solé R. Spatial self-organization in hybrid models of multicellular adhesion. Chaos. 2016 Oct;26(10):103113. DOI: 10.1063/1.4965992
• dc.identifier.doi http://dx.doi.org/10.1063/1.4965992
• dc.identifier.issn 1054-1500
• dc.identifier.uri http://hdl.handle.net/10230/32305
• dc.language.iso eng
• dc.publisher American Institute of Physics (AIP)ca
• dc.relation.ispartof Chaos. 2016 Oct;26(10):103113
• dc.rights © American Institute of Physics. The following article appeared in Adriano Bonforti, Salva Duran-Nebrada, Raul Montañez et al, Chaos. 10, 2016 and may be found at http://dx.doi.org/10.1063/1.4965992
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.other Cèl·lules
• dc.subject.other Cèl·lules -- Adherència
• dc.subject.other Biologia espacial
• dc.title Spatial self-organization in hybrid models of multicellular adhesionca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion