ReviewFrontiers in immunology2024
Applications of single-cell RNA sequencing in rheumatoid arthritis.
Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Spatial transcriptomics: challenges and future directions in musculoskeletal diseases.Current opinion in rheumatology · 2026Review
- Computational approaches to multimodal data integration in rheumatoid arthritis: from data landscape to clinical translation.Briefings in bioinformatics · 2026Review
- Exploring Vitamin D Signaling-Associated Biomarkers and Their Diagnostic Value in Diabetic Retinopathy: A Combined Transcriptomic and Single-Cell Analysis With Experimental Validation.Journal of diabetes research · 2026Article
- Molecular Signatures of Dendritic Cell Activation upon TNF Stimulation: A Multi-Omics Study in Rheumatoid Arthritis.International journal of molecular sciences · 2025Article
- Beyond symptomatic alignment: evaluating the integration of causal mechanisms in matching animal models with human pathotypes in osteoarthritis research.Arthritis research & therapy · 2025Review
- Spatial transcriptomics in autoimmune rheumatic disease: potential clinical applications and perspectives.Inflammation and regeneration · 2025Review
- Comprehensive and advanced T cell cluster analysis for discriminating seropositive and seronegative rheumatoid arthritis.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Single cell RNA sequencing (scRNA-seq) is a relatively new technology that provides an unprecedented, detailed view of cellular heterogeneity and function by delineating the transcriptomic difference among individual cells. This will allow for mapping of cell-type-specific signaling during physiological and pathological processes, to build highly specific models of cellular signaling networks between the many discrete clusters that are present. This technology therefore provides a powerful approach to dissecting the cellular and molecular mechanisms that contribute to autoimmune diseases, including rheumatoid arthritis (RA). scRNA-seq can offer valuable insights into RA unique cellular states and transitions, potentially enabling development of novel drug targets. However, some challenges that still limit its mainstream utilization and include higher costs, a lower sensitivity for low-abundance transcripts, and a relatively complex data analysis workflow relative to bulk or traditional RNA-seq. This minireview explores the emerging application of scRNA-seq in RA research, highlighting its role in producing important insights that can help pave the way for innovative and more effective therapeutic strategies.
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Registered trials
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