Data · study · 2026
Spatial transcriptomic data for skin tissue of systemic sclerosis or localized scleroderma
Listed in NCBI GEO
Juvenile localized scleroderma (LS) and systemic sclerosis (SSc) are rare autoimmune diseases that can cause substantial morbidity and disability in children.
Description
However, the cellular and molecular mechanisms underlying juvenile scleroderma remain poorly understood. To investigate disease pathogenesis, we applied Visium CytAssist spatial transcriptomics (ST), which preserves tissue architecture while enabling whole-transcriptome profiling, to skin lesions from pediatric patients with LS and SSc.
Spatial domains identified from ST data showed strong concordance with pathologist-defined anatomical structures. Integration of paired ST and single-cell RNA sequencing (scRNA-seq) data from the same patients validated the biological consistency of both platforms and enabled estimation of cell-type composition within spatial domains. Moreover, ST analysis accurately delineated pathologist-annotated immune infiltrates, including perivascular inflammatory regions, highlighting the biological relevance of the spatial transcriptomic findings.
Read the rest (1 more)
To our knowledge, this is the first study to apply spatial transcriptomics to skin lesions from patients with juvenile scleroderma. Integration of ST with scRNA-seq and pathological assessment provided a high-resolution view of tissue organization and immune infiltration, offering new insights into the pathogenesis of juvenile scleroderma.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE334nnn/GSE334710 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE334710 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1476209 ncbi.nlm.nih.gov/bioproject/PRJNA1476209 ↗
project · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE334710 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |