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Mapping the heterogeneity of pDCs and Monocytes of systemic sclerosis at single cell level [scRNA-seq]

GSE210395 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/08/10 Platform GPL24676
Summary
Systemic sclerosis (SSc) is an uncommon disease characterized by elevated autoantibody production, vasculopathy and fibrosis of the skin and internal organs. pDCs are the core cell type to produce type I IFN and contributes to the ISG signature and SSc progression. Using single-cell RNA sequencing, we profiled 32529 pDCs enriched and T cell depleted peripheral blood mononuclear cells (PBMCs) from 4 patients with SSc and 4 matched controls. Increased CD16+ monocytes and decreased cDCs are the major changes in the cell composition between SSc and heathy controls. Increased expression of interferon-stimulated genes (ISGs) and apoptotic genes distinguished cells from patients with SSc from healthy control cells. The high ISG expression signature (ISGhi) derived from a small number of transcriptionally defined subpopulations within major cell types, including monocytes, natural killer cells, conventional and plasmacytoid dendritic cells, B cells. Profiling of 10976 pDCs revealed a newly identified PTGDS+ population and a clear increased ISG hi clusters in SSc pDCs. Profiling of 13317 Monocytes revealed increased CD16+ Monocytes and a clear increased ISG hi clusters in SSc monocytes. We then compared the TLRs-IFN response of the pDCs from SSc and Healthy control. RNASeq revealed SSc pDCs enables an unexpected TLR8-IFN signaling to increase the IFN signature. This study lays the groundwork for resolving the origin of the SSc transcriptional signatures and the disease heterogeneity towards precision medicine applications.
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Direct links to NCBI, no account and no request form: the whole study as GSE210395_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA865564 and SRA study SRP389629. Searching any of these in the dataset finder brings you back here.

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