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Neighbor-enhanced diffusivity in dense, cohesive cell populations.
Lee, Hyun Gyu; Lee, Kyoung J.
Afiliación
  • Lee HG; Department of Physics, Korea University, Seoul, Korea.
  • Lee KJ; Department of Physics, Korea University, Seoul, Korea.
PLoS Comput Biol ; 17(9): e1009447, 2021 09.
Article en En | MEDLINE | ID: mdl-34555029
ABSTRACT
The dispersal or mixing of cells within cellular tissue is a crucial property for diverse biological processes, ranging from morphogenesis, immune action, to tumor metastasis. With the phenomenon of 'contact inhibition of locomotion,' it is puzzling how cells achieve such processes within a densely packed cohesive population. Here we demonstrate that a proper degree of cell-cell adhesiveness can, intriguingly, enhance the super-diffusive nature of individual cells. We systematically characterize the migration trajectories of crawling MDA-MB-231 cell lines, while they are in several different clustering modes, including freely crawling singles, cohesive doublets of two cells, quadruplets, and confluent population on two-dimensional substrate. Following data analysis and computer simulation of a simple cellular Potts model, which faithfully recapitulated all key experimental observations such as enhanced diffusivity as well as periodic rotation of cell-doublets and cell-quadruplets with mixing events, we found that proper combination of active self-propelling force and cell-cell adhesion is sufficient for generating the observed phenomena. Additionally, we found that tuning parameters for these two factors covers a variety of different collective dynamic states.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adhesión Celular / Movimiento Celular / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adhesión Celular / Movimiento Celular / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article