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  4. Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity
 
research article

Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity

Joost, Simon
•
Zeisel, Amit
•
Jacob, Tina
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September 28, 2016
Cell Systems

The murine epidermis with its hair follicles represents an invaluable model system for tissue regeneration and stem cell research. Here we used single-cell RNA-sequencing to reveal how cellular heterogeneity of murine telogen epidermis is tuned at the transcriptional level. Unbiased clustering of 1,422 single-cell transcriptomes revealed 25 distinct populations of interfollicular and follicular epidermal cells. Our data allowed the reconstruction of gene expression programs during epidermal differentiation and along the proximal-distal axis of the hair follicle at unprecedented resolution. Moreover, transcriptional heterogeneity of the epidermis can essentially be explained along these two axes, and we show that heterogeneity in stem cell compartments generally reflects this model: stem cell populations are segregated by spatial signatures but share a common basal-epidermal gene module. This study provides an unbiased and systematic view of transcriptional organization of adult epidermis and highlights how cellular heterogeneity can be orchestrated in vivo to assure tissue homeostasis.

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Type
research article
DOI
10.1016/j.cels.2016.08.010
Web of Science ID

WOS:000395775300006

Scopus ID

2-s2.0-84992029435

PubMed ID

27641957

Author(s)
Joost, Simon
Zeisel, Amit
Jacob, Tina
Sun, Xiaoyan
La Manno, Gioele  
Lönnerberg, Peter
Linnarsson, Sten
Kasper, Maria
Date Issued

2016-09-28

Published in
Cell Systems
Volume

3

Issue

3

Start page

221

End page

237.e9

URL

Free PMD article

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052454/
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
UPLAMANNO  
Available on Infoscience
May 1, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/156218
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