Using approximate Bayesian computation to quantify cell-cell adhesion parameters in a cell migratory process.

ABSTRACT: In this work, we implement approximate Bayesian computational methods to improve the design of a wound-healing assay used to quantify cell-cell interactions. This is important as cell-cell interactions, such as adhesion and repulsion, have been shown to play a role in cell migration. Initially, we demonstrate with a model of an unrealistic experiment that we are able to identify model parameters that describe agent motility and adhesion, given we choose appropriate summary statistics for our model data. Following this, we replace our model of an unrealistic experiment with a model representative of a practically realisable experiment. We demonstrate that, given the current (and commonly used) experimental set-up, our model parameters cannot be accurately identified using approximate

SUBMITTER: Ross RJH 

PROVIDER: S-EPMC5445583 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature