Comparing individual-based approaches to modelling the self-organization of multicellular tissues.

ABSTRACT: The coordinated behaviour of populations of cells plays a central role in tissue growth and renewal. Cells react to their microenvironment by modulating processes such as movement, growth and proliferation, and signalling. Alongside experimental studies, computational models offer a useful means by which to investigate these processes. To this end a variety of cell-based modelling approaches have been developed, ranging from lattice-based cellular automata to lattice-free models that treat cells as point-like particles or extended shapes. However, it remains unclear how these approaches compare when applied to the same biological problem, and what differences in behaviour are due to different model assumptions and abstractions. Here, we exploit the availability of an implementation of five

SUBMITTER: Osborne JM 

PROVIDER: S-EPMC5330541 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature