↓ Skip to main content

PLOS

Modelling Hair Follicle Growth Dynamics as an Excitable Medium

Overview of attention for article published in PLoS Computational Biology, December 2012
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
2 CiteULike
Title
Modelling Hair Follicle Growth Dynamics as an Excitable Medium
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002804
Pubmed ID
Authors

Philip J. Murray, Philip K. Maini, Maksim V. Plikus, Cheng-Ming Chuong, Ruth E. Baker

Abstract

The hair follicle system represents a tractable model for the study of stem cell behaviour in regenerative adult epithelial tissue. However, although there are numerous spatial scales of observation (molecular, cellular, follicle and multi follicle), it is not yet clear what mechanisms underpin the follicle growth cycle. In this study we seek to address this problem by describing how the growth dynamics of a large population of follicles can be treated as a classical excitable medium. Defining caricature interactions at the molecular scale and treating a single follicle as a functional unit, a minimal model is proposed in which the follicle growth cycle is an emergent phenomenon. Expressions are derived, in terms of parameters representing molecular regulation, for the time spent in the different functional phases of the cycle, a formalism that allows the model to be directly compared with a previous cellular automaton model and experimental measurements made at the single follicle scale. A multi follicle model is constructed and numerical simulations are used to demonstrate excellent qualitative agreement with a range of experimental observations. Notably, the excitable medium equations exhibit a wider family of solutions than the previous work and we demonstrate how parameter changes representing altered molecular regulation can explain perturbed patterns in Wnt over-expression and BMP down-regulation mouse models. Further experimental scenarios that could be used to test the fundamental premise of the model are suggested. The key conclusion from our work is that positive and negative regulatory interactions between activators and inhibitors can give rise to a range of experimentally observed phenomena at the follicle and multi follicle spatial scales and, as such, could represent a core mechanism underlying hair follicle growth.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 5 15%
Student > Master 3 9%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 3 9%
Mathematics 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 18%
Unknown 6 18%