Systemic sclerosis & Raynaud's
Spatially informed phenotyping by cyclic-in-situ-hybridisation identifies novel fibroblast populations and their pathogenic niches in systemic sclerosis
Authors' conclusion
Our cISH-based, spatially resolved transcriptomic approach identified novel fibroblast subpopulations deregulated in SSc skin with specific pathogenic roles.
Study context
- Population
- Skin of SSc patients and healthy individuals
- Comparison
- SSc skin vs healthy skin
- Outcome
- Fibroblast subpopulations profiled in situ at single-cell resolution
Methodological detailssingle-cell spatial transcriptomics by cyclic in situ hybridisation (cISH), Building Aggregates with a Neighbourhood Kernel and Spatial Yardstick (BANKSY) spatially informed clustering, validation by integration with single-cell RNA sequencing in distinct SSc cohorts
- Single-cell spatial transcriptomics by cyclic in situ hybridisation (cISH)
- BANKSY spatially informed clustering
- Validation by integration with single-cell RNA sequencing in distinct SSc cohorts
Main finding
As reported in the abstract
Fibroblast subpopulations by spatially informed clustering
Fibroblast subpopulations identified
9
Further findings
Progression of skin fibrosis in SSc
- Frequencies of COL8A1+ fibroblast (FBs) and their interactions with monocytic cells and B cells associated with progression of skin fibrosis
Original publication
Spatially informed phenotyping by cyclic-in-situ-hybridisation identifies novel fibroblast populations and their pathogenic niches in systemic sclerosis. Ann Rheum Dis. Published 1 July 2025. doi:10.
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