Cross-tissue, single-cell stromal atlas identifies shared pathological fibroblast phenotypes in four chronic inflammatory diseases [RNA-Seq]
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE185710
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Pro-inflammatory fibroblasts are critical to pathogenesis in rheumatoid arthritis, inflammatory bowel disease, interstitial lung disease, and Sjögren’s syndrome, and represent a novel therapeutic target for chronic inflammatory disease. However, the heterogeneity of fibroblast phenotypes, exacerbated by the lack of a common cross-tissue taxonomy, has limited the understanding of which pathways are shared by multiple diseases. To investigate, we profiled patient-derived fibroblasts from inflamed and non-inflamed synovium, intestine, lung, and salivary glands with single-cell RNA-sequencing. We integrated all fibroblasts into a multi-tissue atlas to characterize shared and tissue-specific phenotypes. Two shared clusters, CXCL10+CCL19+ immune-interacting and SPARC+COL3A1+ vascular-interacting fibroblasts were expanded in all inflamed tissues and additionally mapped to dermal analogues in a public atopic dermatitis atlas. We further confirmed these human pro-inflammatory fibroblasts in animal models of lung, joint, and intestinal inflammation. This work represents the first cross-tissue, single-cell fibroblast atlas revealing shared pathogenic activation states across four chronic inflammatory diseases. We generated a novel time-course RNA-seq dataset of DSS mice, profiling RNA from flow sorted fibroblasts rather than from whole tissue. At days 2, 4, 7, 9, 11, and 14 of the model, we sacrificed 6 mice with DSS-induced colitis and 1 healthy control mouse, flow-sorted Epcam-Cd45-Cd31-Pdpn+Pdgfra+ disaggregated colon cells, and profiled 1000 sorted fibroblasts from each mouse with RNA-sequencing.
创建时间:
2022-07-20



