Unknown

Dataset Information

0

Active Vertex Model for cell-resolution description of epithelial tissue mechanics.


ABSTRACT: We introduce an Active Vertex Model (AVM) for cell-resolution studies of the mechanics of confluent epithelial tissues consisting of tens of thousands of cells, with a level of detail inaccessible to similar methods. The AVM combines the Vertex Model for confluent epithelial tissues with active matter dynamics. This introduces a natural description of the cell motion and accounts for motion patterns observed on multiple scales. Furthermore, cell contacts are generated dynamically from positions of cell centres. This not only enables efficient numerical implementation, but provides a natural description of the T1 transition events responsible for local tissue rearrangements. The AVM also includes cell alignment, cell-specific mechanical properties, cell growth, division and apoptosis. In addition, the AVM introduces a flexible, dynamically changing boundary of the epithelial sheet allowing for studies of phenomena such as the fingering instability or wound healing. We illustrate these capabilities with a number of case studies.

SUBMITTER: Barton DL 

PROVIDER: S-EPMC5493290 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Active Vertex Model for cell-resolution description of epithelial tissue mechanics.

Barton Daniel L DL   Henkes Silke S   Weijer Cornelis J CJ   Sknepnek Rastko R  

PLoS computational biology 20170630 6


We introduce an Active Vertex Model (AVM) for cell-resolution studies of the mechanics of confluent epithelial tissues consisting of tens of thousands of cells, with a level of detail inaccessible to similar methods. The AVM combines the Vertex Model for confluent epithelial tissues with active matter dynamics. This introduces a natural description of the cell motion and accounts for motion patterns observed on multiple scales. Furthermore, cell contacts are generated dynamically from positions  ...[more]

Similar Datasets

| S-EPMC2547424 | biostudies-literature
| S-EPMC9159552 | biostudies-literature
| S-EPMC7005086 | biostudies-literature
| S-EPMC5540905 | biostudies-literature
| S-EPMC7342018 | biostudies-literature
| S-EPMC5849322 | biostudies-literature
| S-EPMC2707510 | biostudies-literature
| S-EPMC10293759 | biostudies-literature
| S-EPMC8981917 | biostudies-literature
| S-EPMC9616887 | biostudies-literature