Modeling cell shape and dynamics on micropatterns

• Verfasst von: Albert, Philipp J. [VerfasserIn]
• Verfasst von: Schwarz, Ulrich S. [VerfasserIn]
• Titel: Modeling cell shape and dynamics on micropatterns
• Verf.angabe: Philipp J. Albert and Ulrich S. Schwarz
• E-Jahr: 2016
• Jahr: 02 Feb 2016
• Umfang: 14 S.
• Fussnoten: Gesehen am 06.02.2019
• Titel Quelle: Enthalten in: Cell adhesion & migration
• Ort Quelle: London : Taylor & Francis Group, 2007
• Jahr Quelle: 2016
• Band/Heft Quelle: 10(2016), 5, Seite 516-528
• ISSN Quelle: 1933-6926
• DOI: doi:10.1080/19336918.2016.1148864
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: cell mechanics
• Sach-SW: cell shape
• Sach-SW: cellular Potts model
• Sach-SW: shape dynamics
• Sach-SW: vertex model
• K10plus-PPN: 1566140196

Abstract

Adhesive micropatterns have become a standard tool to study cells under defined conditions. Applications range from controlling the differentiation and fate of single cells to guiding the collective migration of cell sheets. In long-term experiments, single cell normalization is challenged by cell division. For all of these setups, mathematical models predicting cell shape and dynamics can guide pattern design. Here we review recent advances in predicting and explaining cell shape, traction forces and dynamics on micropatterns. Starting with contour models as the simplest approach to explain concave cell shapes, we move on to network and continuum descriptions as examples for static models. To describe dynamic processes, cellular Potts, vertex and phase field models can be used. Different types of model are appropriate to address different biological questions and together, they provide a versatile tool box to predict cell behavior on micropatterns.