five

Single Cell and Spatial Sequencing Characterizes Cell Type Composition and Cell-Cell Interaction in Psoriasis

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE173706
下载链接
链接失效反馈
官方服务:
资源简介:
The immunopathogenesis of psoriasis, a common chronic inflammatory disease of the skin, is still incompletely understood. Here we demonstrate, using a combination of single-cell and spatial-sequencing, that psoriatic fibroblasts, a hitherto unappreciated participant in psoriasis pathogenesis, contribute to the immune network in psoriasis through transition to a pro-inflammatory state characterized by CCL19 and CCL13. Fibroblasts interact with three other main cell-types that are in close proximity: keratinocytes, T cells and myeloid cells, that also interact with each other. In addition, our data demonstrates striking compartmentalization of inflammatory responses in distinct layers of the psoriatic epidermis, including IL-17A responses and autocrine IL-36 autoinflammatory activity within the supraspinous layer. Lastly, our data defined the T cell and myeloid populations involved in psoriasis, including enrichment of CD8+ IL17A expressing T cells, CD16+ dendritic cells, and LAMP3+ dendritic cells. These data provide an unprecedented view of psoriasis pathogenesis, which expands our understanding of the critical cellular players to include inflammatory fibroblasts as well as their cell-cell interactions, defines the spatial compartmentalization of specific inflammatory processes, together a unique resource for future investigations. To study cell type compositon and transcription changes in normal skin from healthy donors, peripheral normal skin from psoriasis patients and psoriatic skin from psoriasis patients
创建时间:
2025-04-10
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作