ArticleOsteoarthritis and cartilage2022
Single cell transcriptomics in human osteoarthritis synovium and in silico deconvoluted bulk RNA sequencing.
Article in Osteoarthritis and cartilage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- RNAseq of Osteoarthritic Synovial Tissues: Systematic Literary Review.Frontiers in aging · 2022Pooled it
- Multi‑omics integration in osteoarthritis: Unraveling cell‑type‑specific gene‑metabolite networks for precision medicine (Review).International journal of molecular medicine · 2026Review
- Concurrent Alterations in Selected mRNAs and miR-30 Family Members in Canine Osteoarthritic Joint Tissues.Biomedicines · 2026Article
- Unveiling the comorbidity hub: WT1 drives renal cancer progression in chronic kidney disease and confers sirolimus vulnerability.Experimental and therapeutic medicine · 2026Article
- The transcriptional atlas, intercellular communication, and metabolic reprogramming of the cartilage and synovium in osteoarthritis patients with diabetes mellitus : a multiomics study.Bone & joint research · 2026Article
- Metal-on-metal hip implants: Revisiting degradation product chemistry and molecular mechanisms of ARMD.Biomaterials and biosystems · 2026Review
- Smart Nanodelivery Systems for Immunometabolic Modulation in Osteoarthritis.Exploration (Beijing, China) · 2026Review
- Bridging the gap in OA therapeutics: Bioengineered strategies to target osteoclast-chondrocyte crosstalk.Bioengineering & translational medicine · 2026Review
- Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.Journal of molecular histology · 2026Article
- Understanding the Inflammatory Aspect of Osteoarthritis: Lessons from Immune Checkpoint Inhibitors.Journal of clinical medicine · 2026Review
- The osteoarthritis inflammatory ecosystem: a node-edge-boundary-emergent framework toward precision stratification and therapeutic hypothesis generation.Frontiers in medicine · 2026Review
- NF-κB signaling in osteoarthritis: integrating mechanical stress, innate immunity, and cartilage degeneration.Frontiers in immunology · 2026Review
- Focus on the NLRP3 inflammasome: its role in the pathogenesis and therapeutic potential of inflammation-driven osteoarthritis.Frontiers in immunology · 2026Review
- Epigenetic regulation in osteoarthritis: recent updates and emerging mechanisms.Frontiers in genetics · 2026Review
- Targeting macrophage-mediated TGF-β/BMP signaling in ankylosing spondylitis: from inflammation to pathological bone formation.Frontiers in immunology · 2026Review
- From mechanical adaptation to innate immune reprogramming in osteoarthritis: a load-immunity framework.Frontiers in immunology · 2026Review
- Translating Osteoarthritis Genetic Risk Into Biomarkers: Opportunities, Pitfalls, and Implementation Considerations.Human mutation · 2026Review
- Immune cells with senescence-related transcriptional signatures orchestrate the inflammatory continuum in osteoarthritis synovium: a single-cell and machine learning study.Frontiers in immunology · 2026Article
- Study of the Immune Infiltration and Sonic Hedgehog Expression Mechanism in Synovial Tissue of Rheumatoid Arthritis-Related Interstitial Lung Disease under Machine Learning CIBERSORT Algorithm.Molecular biotechnology · 2025Article
- Synovial fluid as a complex molecular pool contributing to knee osteoarthritis.Nature reviews. Rheumatology · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesTo reveal the heterogeneity of different cell types of osteoarthritis (OA) synovial tissues at a single-cell resolution, and determine by novel methodology whether bulk-RNA-seq data could be deconvoluted to create in silico scRNA-seq data for synovial tissue analyses.
methodsOA scRNA-seq data (102,077 synoviocytes) were provided by 17 patients undergoing total knee arthroplasty; 9 tissues with matched scRNA-seq and bulk RNA-seq data were used to evaluate six in silico gene deconvolution tools. Predicted and observed cell types and proportions were compared to identify the best deconvolution tool for synovium.
resultsWe identified seven distinct cell types in OA synovial tissues. Gene deconvolution identified three (of six) platforms as suitable for extrapolating cellular gene expression from bulk RNA-seq data. Using paired scRNA-seq and bulk RNA-seq data, an "arthritis" specific signature matrix was created and validated to have a significantly better predictive performance for synoviocytes than a default signature matrix. Use of the machine learning tool, Cell-type Identification By Estimating Relative Subsets of RNA Transcripts x (CIBERSORTx), to analyze rheumatoid arthritis (RA) and OA bulk RNA-seq data yielded proportions of T cells and fibroblasts that were similar to the gold standard observations from RA and OA scRNA-seq data, respectively.
conclusionThis novel study revealed heterogeneity of synovial cell types in OA and the feasibility of gene deconvolution for synovial tissue.
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