Project description:Cells were generated for a single cell atlas of adult human skin to dissect the cellular and molecular organisation underpinning human skin immune barrier function. Surplus skin from breast reconstruction surgery was collected (n=3), then the top 200 μm layer was taken. Epidermis was separated from the dermis, and both layers were separately digested. Single cells were FACS sorted into eight categories, then loaded onto a 10x Genomics Chromium Controller, and sequenced on an Illumina HiSeq 4000.
Project description:Single cell RNA-seq was performed on healthy mouse skin fibroblasts. This data along with single cell transcriptomics datasets of fibroblasts from other healthy tissues was used to construct a steady state mouse fibroblast atlas.
Project description:Single-cell RNA sequencing is transforming how we understand skin immunology, but previous human skin single-cell RNA sequencing data included only a small fraction of inflammatory cells among the overall cell population, such that functional subsets may be difficult to ascertain. We have overcome these obstacles by harvesting inflammatory cells emigrating from a half of 6 mm punch biopsy skin after 48-hour incubation in culture medium without any enzyme, and then analyzing the harvested cells with single-cell RNA sequencing. By this strategy, we obtained single-cell RNA sequencing data of 24,354 cells (leukocytes 46.0%, keratinocytes 49.6%, and melanocytes 2.4%) from 13 human psoriasis skin and 5 healthy volunteer skin. Unsupervised clustering identified NK cells, CD161+ T-cells, CD8+ T-cells, CD4+ T-cells, regulatory T-cells, mature & semimature dendritic cells, melanocytes, and keratinocytes in different layers - S. (Stratum) corneum, S. granulosum, S. spinosum, and S. basale. To understand psoriasis immunopathogenesis at single-cell levels, we compared gene expression between psoriasis cells vs. control cells within each inflammatory cell subtype clusters.