An Integrative and Modular Framework to Recapitulate Emergent Behavior in Cell Migration.

Autor:	Cuenca MB; Instituto de Investigación en Biomedicina de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Partner Institute of the Max Planck Society, Buenos Aires, Argentina.; Departamento de Física, Facultad de Ciencias Exactas y Naturales (FCEN), Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina., Canedo L; Instituto de Investigación en Biomedicina de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Partner Institute of the Max Planck Society, Buenos Aires, Argentina., Perez-Castro C; Instituto de Investigación en Biomedicina de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Partner Institute of the Max Planck Society, Buenos Aires, Argentina., Grecco HE; Instituto de Investigación en Biomedicina de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Partner Institute of the Max Planck Society, Buenos Aires, Argentina.; Departamento de Física, Facultad de Ciencias Exactas y Naturales (FCEN), Universidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.; Department of Systemic Cell Biology, Max Planck Institute for Molecular Physiology, Dortmund, Germany.
Jazyk:	angličtina
Zdroj:	Frontiers in cell and developmental biology [Front Cell Dev Biol] 2020 Dec 22; Vol. 8, pp. 615759. Date of Electronic Publication: 2020 Dec 22 (Print Publication: 2020).
DOI:	10.3389/fcell.2020.615759
Abstrakt:	Cell migration has been a subject of study in a broad variety of biological systems, from morphogenetic events during development to cancer progression. In this work, we describe single-cell movement in a modular framework from which we simulate the collective behavior of glioblastoma cells, the most prevalent and malignant primary brain tumor. We used the U87 cell line, which can be grown as a monolayer or spatially closely packed and organized in 3D structures called spheroids. Our integrative model considers the most relevant mechanisms involved in cell migration: chemotaxis of attractant factor, mechanical interactions and random movement. The effect of each mechanism is integrated into the overall probability of the cells to move in a particular direction, in an automaton-like approach. Our simulations fit and reproduced the emergent behavior of the spheroids in a set of migration assays where single-cell trajectories were tracked. We also predicted the effect of migration inhibition on the colonies from simple experimental characterization of single treated cell tracks. The development of tools that allow complementing molecular knowledge in migratory cell behavior is relevant for understanding essential cellular processes, both physiological (such as organ formation, tissue regeneration among others) and pathological perspectives. Overall, this is a versatile tool that has been proven to predict individual and collective behavior in U87 cells, but that can be applied to a broad variety of scenarios. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2020 Cuenca, Canedo, Perez-Castro and Grecco.)
Databáze:	MEDLINE
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