A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium.

ABSTRACT: Our work addresses two key challenges, one biological and one methodological. First, we aim to understand how proliferation and cell migration rates in the intestinal epithelium are related under healthy, damaged (Ara-C treated) and recovering conditions, and how these relations can be used to identify mechanisms of repair and regeneration. We analyse new data, presented in more detail in a companion paper, in which BrdU/IdU cell-labelling experiments were performed under these respective conditions. Second, in considering how to more rigorously process these data and interpret them using mathematical models, we use a probabilistic, hierarchical approach. This provides a best-practice approach for systematically modelling and understanding the uncertainties that can otherwise undermine the

SUBMITTER: Maclaren OJ 

PROVIDER: S-EPMC5550005 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature