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Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity
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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052454/ https://www.ncbi.nlm.nih.gov/pubmed/27641957 http://dx.doi.org/10.1016/j.cels.2016.08.010 |
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author | Joost, Simon Zeisel, Amit Jacob, Tina Sun, Xiaoyan La Manno, Gioele Lönnerberg, Peter Linnarsson, Sten Kasper, Maria |
author_facet | Joost, Simon Zeisel, Amit Jacob, Tina Sun, Xiaoyan La Manno, Gioele Lönnerberg, Peter Linnarsson, Sten Kasper, Maria |
author_sort | Joost, Simon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5052454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50524542016-10-12 Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity Joost, Simon Zeisel, Amit Jacob, Tina Sun, Xiaoyan La Manno, Gioele Lönnerberg, Peter Linnarsson, Sten Kasper, Maria Cell Syst Article 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. Cell Press 2016-09-28 /pmc/articles/PMC5052454/ /pubmed/27641957 http://dx.doi.org/10.1016/j.cels.2016.08.010 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Joost, Simon Zeisel, Amit Jacob, Tina Sun, Xiaoyan La Manno, Gioele Lönnerberg, Peter Linnarsson, Sten Kasper, Maria Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title | Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title_full | Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title_fullStr | Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title_full_unstemmed | Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title_short | Single-Cell Transcriptomics Reveals that Differentiation and Spatial Signatures Shape Epidermal and Hair Follicle Heterogeneity |
title_sort | single-cell transcriptomics reveals that differentiation and spatial signatures shape epidermal and hair follicle heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052454/ https://www.ncbi.nlm.nih.gov/pubmed/27641957 http://dx.doi.org/10.1016/j.cels.2016.08.010 |
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