Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin

Abstract Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture. However, transcriptomic analysis of bulk skin tends to dro...

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Autores principales:	Richard S. Ahn, Keyon Taravati, Kevin Lai, Kristina M. Lee, Joanne Nititham, Rashmi Gupta, David S. Chang, Sarah T. Arron, Michael Rosenblum, Wilson Liao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8c73a37b2e6e4ff69c9ed83b1dba9a3e
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spelling	oai:doaj.org-article:8c73a37b2e6e4ff69c9ed83b1dba9a3e2021-12-02T15:05:21ZTranscriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin10.1038/s41598-017-01468-y2045-2322https://doaj.org/article/8c73a37b2e6e4ff69c9ed83b1dba9a3e2017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01468-yhttps://doaj.org/toc/2045-2322Abstract Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture. However, transcriptomic analysis of bulk skin tends to drown out expression signals from relatively rare cells while cell culture methods may significantly alter cellular phenotypes and gene expression profiles. To identify distinct transcriptomic profiles of multiple cell populations without substantially altering cell phenotypes, we employed a fluorescence activated cell sorting method to isolate keratinocytes, dendritic cells, CD4+ T effector cells, and CD8+ T effector cells from healthy skin samples, followed by RNA-seq of each cell population. Principal components analysis revealed distinct clustering of cell types across samples, while differential expression and coexpression network analyses revealed transcriptional profiles of individual cell populations distinct from bulk skin, most strikingly in the least abundant CD8+ T effector population. Our work provides a high resolution view of cutaneous cellular gene expression and suggests that transcriptomic profiling of bulk skin may inadequately capture the contribution of less abundant cell types.Richard S. AhnKeyon TaravatiKevin LaiKristina M. LeeJoanne NitithamRashmi GuptaDavid S. ChangSarah T. ArronMichael RosenblumWilson LiaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Richard S. Ahn Keyon Taravati Kevin Lai Kristina M. Lee Joanne Nititham Rashmi Gupta David S. Chang Sarah T. Arron Michael Rosenblum Wilson Liao Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
description	Abstract Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture. However, transcriptomic analysis of bulk skin tends to drown out expression signals from relatively rare cells while cell culture methods may significantly alter cellular phenotypes and gene expression profiles. To identify distinct transcriptomic profiles of multiple cell populations without substantially altering cell phenotypes, we employed a fluorescence activated cell sorting method to isolate keratinocytes, dendritic cells, CD4+ T effector cells, and CD8+ T effector cells from healthy skin samples, followed by RNA-seq of each cell population. Principal components analysis revealed distinct clustering of cell types across samples, while differential expression and coexpression network analyses revealed transcriptional profiles of individual cell populations distinct from bulk skin, most strikingly in the least abundant CD8+ T effector population. Our work provides a high resolution view of cutaneous cellular gene expression and suggests that transcriptomic profiling of bulk skin may inadequately capture the contribution of less abundant cell types.
format	article
author	Richard S. Ahn Keyon Taravati Kevin Lai Kristina M. Lee Joanne Nititham Rashmi Gupta David S. Chang Sarah T. Arron Michael Rosenblum Wilson Liao
author_facet	Richard S. Ahn Keyon Taravati Kevin Lai Kristina M. Lee Joanne Nititham Rashmi Gupta David S. Chang Sarah T. Arron Michael Rosenblum Wilson Liao
author_sort	Richard S. Ahn
title	Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
title_short	Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
title_full	Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
title_fullStr	Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
title_full_unstemmed	Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
title_sort	transcriptional landscape of epithelial and immune cell populations revealed through facs-seq of healthy human skin
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/8c73a37b2e6e4ff69c9ed83b1dba9a3e
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Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin

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