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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2017-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-01468-y |
| _version_ | 1818343852032917504 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T16:37:10Z |
| format | Article |
| id | doaj.art-8c73a37b2e6e4ff69c9ed83b1dba9a3e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-13T16:37:10Z |
| publishDate | 2017-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8c73a37b2e6e4ff69c9ed83b1dba9a3e2022-12-21T23:38:22ZengNature PortfolioScientific Reports2045-23222017-05-01711910.1038/s41598-017-01468-yTranscriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skinRichard S. Ahn0Keyon Taravati1Kevin Lai2Kristina M. Lee3Joanne Nititham4Rashmi Gupta5David S. Chang6Sarah T. Arron7Michael Rosenblum8Wilson Liao9Department of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Plastic Surgery, California Pacific Medical CenterDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoDepartment of Dermatology, University of California, San FranciscoAbstract 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.https://doi.org/10.1038/s41598-017-01468-y |
| spellingShingle | 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 Scientific Reports |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41598-017-01468-y |
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