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University of Dundee

Active Vertex Model of Epithelial Monolayer Mechanics

Abstract

dc:description.abstract

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 is presented. The AVM combines the Vertex Model for confluent epithelial tissues with active matter dynamics. Cell contacts are generated dynamically from positions of cell centres which leads to 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. 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. An expression for mechanical stress in the model is then derived from the Hardy stress for atomistic simulations. Calculation of stress is important for understanding how cell-level events coordinate to drive morphogenic processes.

Degree

thesis:*
Name dc:type.qualificationname
Master of Science
Level dc:type.qualificationlevel
Master's Thesis
Grantor dc:publisher.institution
University of Dundee
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Barton, Daniel
Advisors dc:contributor.advisor
  • Sknepnek, Rastko
  • Weijer, Cornelis

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
oai:discovery.dundee.ac.uk:studenttheses/91d01d6f-9935-4a59-9841-45923a1c61c5
OAI identifier oai:identifier
oai:discovery.dundee.ac.uk:studenttheses/91d01d6f-9935-4a59-9841-45923a1c61c5

Chain of custody

source
Harvested from
University of Dundee
Base URL
discovery.dundee.ac.uk/ws/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Barton, Daniel. Active Vertex Model of Epithelial Monolayer Mechanics. Master's Thesis thesis, University of Dundee, 2017. https://discovery.dundee.ac.uk/en/studentTheses/91d01d6f-9935-4a59-9841-45923a1c61c5