ArticleScientific data2025
A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Immune-mediated rheumatoid arthritis: from single-cell genomics to new therapies.Nature immunology · 2026Review
- Targeting macrophage-mediated TGF-β/BMP signaling in ankylosing spondylitis: from inflammation to pathological bone formation.Frontiers in immunology · 2026Review
- Immunological heterogeneity in rheumatoid arthritis: challenges in early-stage stratification, non-response to targeted therapy, and the restoration of immune tolerance.Frontiers in immunology · 2026Review
- Advances in the Diagnosis and Treatment of Rheumatoid Arthritis: From Pathological Mechanisms to Integrated Chinese and Western Medicine Therapeutic Strategies.International journal of general medicine · 2026Review
- Algorithmically defined therapeutic targets: integrating single-cell transfer learning frameworks with small molecule drugs to reverse disease-associated cell fates.Frontiers in pharmacology · 2026Review
- Identification of potential predictive biomarkers during JAK-inhibitor therapies in rheumatoid arthritis.Human genomics · 2025Article
- A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor.Scientific data · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
Although multiple single-cell RNA sequencing (scRNA-seq) based studies have explored rheumatoid arthritis (RA), most have focused on synovial tissue, limiting the ability to perform paired pre- and post-treatment comparisons and to elucidate dynamic changes. Moreover, the single-cell impact of TNF-α and JAK inhibitors on RA remains poorly understood, hindering effects toward precision medicine for RA. Here, we present a comprehensive scRNA-seq analysis of synovial fluid samples of RA patients treated with tofacitinib or adalimumab, both pre- and post-treatment. Following stringent quality control, we analyzed 100,387 high-quality cells, providing an in-depth characterization of cell composition, molecular signaling pathways, and functional properties. This rich dataset offers a valuable resource to address diverse research questions, from uncovering the mechanisms of action of TNF-α and JAK inhibitors, to identifying novel therapeutic targets for RA, and advancing our understanding of the pathogenesis of inflammatory diseases.
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