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A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning

Authors :
Qixuan Wang
Ji Won Oh
Hye-Lim Lee
Anukriti Dhar
Tao Peng
Raul Ramos
Christian Fernando Guerrero-Juarez
Xiaojie Wang
Ran Zhao
Xiaoling Cao
Jonathan Le
Melisa A Fuentes
Shelby C Jocoy
Antoni R Rossi
Brian Vu
Kim Pham
Xiaoyang Wang
Nanda Maya Mali
Jung Min Park
June-Hyug Choi
Hyunsu Lee
Julien M D Legrand
Eve Kandyba
Jung Chul Kim
Moonkyu Kim
John Foley
Zhengquan Yu
Krzysztof Kobielak
Bogi Andersen
Kiarash Khosrotehrani
Qing Nie
Maksim V Plikus
Source :
eLife, Vol 6 (2017)
Publication Year :
2017
Publisher :
eLife Sciences Publications Ltd, 2017.

Abstract

The control principles behind robust cyclic regeneration of hair follicles (HFs) remain unclear. Using multi-scale modeling, we show that coupling inhibitors and activators with physical growth of HFs is sufficient to drive periodicity and excitability of hair regeneration. Model simulations and experimental data reveal that mouse skin behaves as a heterogeneous regenerative field, composed of anatomical domains where HFs have distinct cycling dynamics. Interactions between fast-cycling chin and ventral HFs and slow-cycling dorsal HFs produce bilaterally symmetric patterns. Ear skin behaves as a hyper-refractory domain with HFs in extended rest phase. Such hyper-refractivity relates to high levels of BMP ligands and WNT antagonists, in part expressed by ear-specific cartilage and muscle. Hair growth stops at the boundaries with hyper-refractory ears and anatomically discontinuous eyelids, generating wave-breaking effects. We posit that similar mechanisms for coupled regeneration with dominant activator, hyper-refractory, and wave-breaker regions can operate in other actively renewing organs.

Details

Language :
English
ISSN :
2050084X
Volume :
6
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.6e93715c39943c397d8d7d21e389963
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.22772