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Dynamics phenotyping across length and time scales in collective cell migration.
Lee, Rachel M; Losert, Wolfgang.
  • Lee RM; University of Maryland School of Medicine, Baltimore, MD, 21201, USA; Institute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA.
  • Losert W; Institute for Physical Science and Technology, University of Maryland, College Park, MD, 20742, USA; Department of Physics, University of Maryland, College Park, MD, 20742, USA. Electronic address: wlosert@umd.edu.
Semin Cell Dev Biol ; 93: 69-76, 2019 09.
Article en En | MEDLINE | ID: mdl-31429407
Processes in collective migration span many length and time scales. In this review, we focus on length scales ranging from tens of microns (single cells) to a few millimeters (cell clusters) and the motion of these cells and cell groups on time scales of minutes to hours. We focus on epithelial cell sheets and metrics of motion developed to measure migration phenotypes in this system. Comparisons between cell motion and fluid flows, facilitated by the popular image analysis technique particle image velocimetry, yield metrics that can be used to study migration across a range of length and time scales. Measuring collective cell migration across these scales provides a complex, quantitative phenotype useful for migration models, in particular those that compare and contrast collective cell migration to movement of particles near a transition to jamming. Contrasting the motion of epithelial cells and the jamming transition illustrates aspects of collective motion that can be attributed to the jammed character of cell clusters, and highlights aspects of collective behavior that likely involve active motility and cell-cell guidance. The application of multiple migration metrics, which span multiple scales of the system, thus allows us to link cell-scale signals and mechanics to collective behavior.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Movimiento Celular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fenotipo / Movimiento Celular Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article