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Single cell transcriptomics of human epidermis identifies basal stem cell transition states
How stem cells give rise to epidermis is unclear despite the crucial role the epidermis plays in barrier and appendage formation. Here we use single cell-RNA sequencing to interrogate basal stem cell heterogeneity of human interfollicular epidermis and find four spatially distinct stem cell populati...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447770/ https://www.ncbi.nlm.nih.gov/pubmed/32843640 http://dx.doi.org/10.1038/s41467-020-18075-7 |
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author | Wang, Shuxiong Drummond, Michael L. Guerrero-Juarez, Christian F. Tarapore, Eric MacLean, Adam L. Stabell, Adam R. Wu, Stephanie C. Gutierrez, Guadalupe That, Bao T. Benavente, Claudia A. Nie, Qing Atwood, Scott X. |
author_facet | Wang, Shuxiong Drummond, Michael L. Guerrero-Juarez, Christian F. Tarapore, Eric MacLean, Adam L. Stabell, Adam R. Wu, Stephanie C. Gutierrez, Guadalupe That, Bao T. Benavente, Claudia A. Nie, Qing Atwood, Scott X. |
author_sort | Wang, Shuxiong |
collection | PubMed |
description | How stem cells give rise to epidermis is unclear despite the crucial role the epidermis plays in barrier and appendage formation. Here we use single cell-RNA sequencing to interrogate basal stem cell heterogeneity of human interfollicular epidermis and find four spatially distinct stem cell populations at the top and bottom of rete ridges and transitional positions between the basal and suprabasal epidermal layers. Cell-cell communication modeling suggests that basal cell populations serve as crucial signaling hubs to maintain epidermal communication. Combining pseudotime, RNA velocity, and cellular entropy analyses point to a hierarchical differentiation lineage supporting multi-stem cell interfollicular epidermal homeostasis models and suggest that transitional basal stem cells are stable states essential for proper stratification. Finally, alterations in differentially expressed transitional basal stem cell genes result in severe thinning of human skin equivalents, validating their essential role in epidermal homeostasis and reinforcing the critical nature of basal stem cell heterogeneity. |
format | Online Article Text |
id | pubmed-7447770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74477702020-09-02 Single cell transcriptomics of human epidermis identifies basal stem cell transition states Wang, Shuxiong Drummond, Michael L. Guerrero-Juarez, Christian F. Tarapore, Eric MacLean, Adam L. Stabell, Adam R. Wu, Stephanie C. Gutierrez, Guadalupe That, Bao T. Benavente, Claudia A. Nie, Qing Atwood, Scott X. Nat Commun Article How stem cells give rise to epidermis is unclear despite the crucial role the epidermis plays in barrier and appendage formation. Here we use single cell-RNA sequencing to interrogate basal stem cell heterogeneity of human interfollicular epidermis and find four spatially distinct stem cell populations at the top and bottom of rete ridges and transitional positions between the basal and suprabasal epidermal layers. Cell-cell communication modeling suggests that basal cell populations serve as crucial signaling hubs to maintain epidermal communication. Combining pseudotime, RNA velocity, and cellular entropy analyses point to a hierarchical differentiation lineage supporting multi-stem cell interfollicular epidermal homeostasis models and suggest that transitional basal stem cells are stable states essential for proper stratification. Finally, alterations in differentially expressed transitional basal stem cell genes result in severe thinning of human skin equivalents, validating their essential role in epidermal homeostasis and reinforcing the critical nature of basal stem cell heterogeneity. Nature Publishing Group UK 2020-08-25 /pmc/articles/PMC7447770/ /pubmed/32843640 http://dx.doi.org/10.1038/s41467-020-18075-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Shuxiong Drummond, Michael L. Guerrero-Juarez, Christian F. Tarapore, Eric MacLean, Adam L. Stabell, Adam R. Wu, Stephanie C. Gutierrez, Guadalupe That, Bao T. Benavente, Claudia A. Nie, Qing Atwood, Scott X. Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title | Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title_full | Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title_fullStr | Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title_full_unstemmed | Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title_short | Single cell transcriptomics of human epidermis identifies basal stem cell transition states |
title_sort | single cell transcriptomics of human epidermis identifies basal stem cell transition states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447770/ https://www.ncbi.nlm.nih.gov/pubmed/32843640 http://dx.doi.org/10.1038/s41467-020-18075-7 |
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