Dynamics of cell ensembles on Aadhesive micropatterns

• Verfasst von: Albert, Philipp J. [VerfasserIn]
• Verfasst von: Schwarz, Ulrich S. [VerfasserIn]
• Titel: Dynamics of cell ensembles on Aadhesive micropatterns
• Titelzusatz: bridging the gap between single cell spreading and collective cell migration
• Verf.angabe: Philipp J. Albert, Ulrich S. Schwarz
• E-Jahr: 2016
• Jahr: April 7, 2016
• Umfang: 34 S.
• Fussnoten: Gesehen am 12.08.2020
• Titel Quelle: Enthalten in: Public Library of SciencePLoS Computational Biology
• Ort Quelle: San Francisco, Calif. : Public Library of Science, 2005
• Jahr Quelle: 2016
• Band/Heft Quelle: 12(2016,4) Artikel-Nummer e1004863, 34 Seiten
• ISSN Quelle: 1553-7358
• DOI: doi:10.1371/journal.pcbi.1004863
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Actins
• Sach-SW: Adhesives
• Sach-SW: Cadherins
• Sach-SW: Cell cycle and cell division
• Sach-SW: Cell migration
• Sach-SW: Cell polarity
• Sach-SW: Ellipses
• Sach-SW: Surface tension
• K10plus-PPN: 1726937305

Abstract

The collective dynamics of multicellular systems arise from the interplay of a few fundamental elements: growth, division and apoptosis of single cells; their mechanical and adhesive interactions with neighboring cells and the extracellular matrix; and the tendency of polarized cells to move. Micropatterned substrates are increasingly used to dissect the relative roles of these fundamental processes and to control the resulting dynamics. Here we show that a unifying computational framework based on the cellular Potts model can describe the experimentally observed cell dynamics over all relevant length scales. For single cells, the model correctly predicts the statistical distribution of the orientation of the cell division axis as well as the final organisation of the two daughters on a large range of micropatterns, including those situations in which a stable configuration is not achieved and rotation ensues. Large ensembles migrating in heterogeneous environments form non-adhesive regions of inward-curved arcs like in epithelial bridge formation. Collective migration leads to swirl formation with variations in cell area as observed experimentally. In each case, we also use our model to predict cell dynamics on patterns that have not been studied before.