ArticleJournal of cellular and molecular medicine2024
Exploring T Cell and NK Cell Involvement in Ankylosing Spondylitis Through Single-Cell Sequencing.
Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Insights into the pathogenesis of rheumatic and immune diseases from single-cell omics.Frontiers in immunology · 2026Pooled it
- Single-immunocyte transcriptomics reveal the role of natural killer cell-dependent exogenous antigen presentation in ankylosing spondylitis severity.Experimental & molecular medicine · 2026Article
- Biomarkers in axial spondyloarthritis diagnosis: from clinical signs to multi-omics integration.Frontiers in immunology · 2026Review
- Integrative mass spectrometry-driven multi-omics and single cell technologies in ankylosing spondylitis: insights into pathogenesis, biomarker discovery, and precision medicine.Journal of translational autoimmunity · 2025Review
- Proteomics signatures associated with hip arthropathy in ankylosing spondylitis.Frontiers in medicine · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
To uncover the complex immune mechanisms driving inflammation in ankylosing spondylitis and lay the groundwork for identifying new therapeutic targets and innovative approaches, we conducted 10× single-cell sequencing on bone marrow cell samples collected from the vertebrae of three AS patients and three non-AS patients. Using single-cell sequencing data, we analysed the expression of differentially expressed genes (DEGs) by comparing AS patients with non-AS patients. Key genes among the related DEGs were identified through protein-protein interaction networks and hub gene screening and further validated using immunohistochemistry. We performed clustering and annotation of the single-cell sequencing data and externally validated the findings using the GSE232131 single-cell dataset. By integrating transcriptome data, we assessed the differential expression of immune cells in AS. Finally, we explored the interactions between immune cells in AS through cell communication analysis. The upregulated gene CD74 was identified as a hub gene in T cells in AS. Further research revealed the important relationship between T cells and NK cells in the fundamental processes of AS. Additionally, we found that the macrophage migration inhibitory factor signalling pathway is prominently expressed in the interactions among various cell types in AS.
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Registered trials
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