ArticleInternational journal of molecular sciences2024
Spatial Transcriptomics Identifies Cellular and Molecular Characteristics of Scleroderma Skin Lesions: Pilot Study in Juvenile Scleroderma.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Macrophage-fibroblast signaling networks identified by single-cell RNA sequencing in juvenile systemic sclerosis.JCI insight · 2026Article
- Decoding spatial transcriptomics across multicellular and subcellular resolutions.Nature communications · 2026Article
- Distinct by Design: Unraveling the Unique Clinical and Transcriptomic Identity of Juvenile Scleromyositis Overlap Compared to Juvenile Systemic Sclerosis and Juvenile Dermatomyositis: Implications for Care and Pathogenesis.ACR open rheumatology · 2026Article
- CAR T cell therapy for children with rheumatic disease: the time is now.Nature reviews. Rheumatology · 2025Review
- Unique and shared transcriptomic signatures underlying localized scleroderma pathogenesis identified using interpretable machine learning.JCI insight · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Juvenile localized and systemic scleroderma are rare autoimmune diseases which cause significant disability and morbidity in children. The mechanisms driving juvenile scleroderma remain unclear, necessitating further cellular and molecular level studies. The Visium CytAssist spatial transcriptomics (ST) platform, which preserves the spatial location of cells and simultaneously sequences the whole transcriptome, was employed to profile the histopathological slides from skin lesions of juvenile scleroderma patients. (1) Spatial domains were identified from ST data and exhibited strong concordance with the pathologist's annotations of anatomical structures. (2) The integration of paired ST data and single-cell RNA sequencing (scRNA-seq) from the same patients validated the comparable accuracy of the two platforms and facilitated the estimation of cell type composition in ST data. (3) The pathologist-annotated immune infiltrates, such as perivascular immune infiltrates, were clearly delineated by the ST analysis, underscoring the biological relevance of the findings. This is the first study utilizing spatial transcriptomics to investigate skin lesions in juvenile scleroderma patients. The validity of the ST data was corroborated by gene expression analyses and the pathologist's assessments. Integration with scRNA-seq data facilitated the cell type-level analysis and validation. Analyses of immune infiltrates through combined ST data and pathological review enhances our understanding of the pathogenesis of juvenile scleroderma.
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