Trial reportScientific reports2019
Exploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics.
Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 80 citations in OpenAlex.
- Immune-mediated rheumatoid arthritis: from single-cell genomics to new therapies.Nature immunology · 2026Review
- MCFST: spatial domain identification method based on multi-view graph convolutional network and graph fusion network.Bioinformatics (Oxford, England) · 2026Article
- Spatial Immunology in Translation: Linking Immune Organisation to Therapeutic Outcome.Medical sciences (Basel, Switzerland) · 2026Review
- Bridging the Precision Gap in Rheumatoid Arthritis: Spatial Transcriptomics, Spatial Proteomics, and Artificial Intelligence in Precision Health.Biomedicines · 2026Review
- Spatial transcriptomics: challenges and future directions in musculoskeletal diseases.Current opinion in rheumatology · 2026Review
- Advances in the application of spatial transcriptomics in understanding development and disease.Molecular and cellular biochemistry · 2026Review
- Spatial transcriptomic applications in orthopedics.Connective tissue research · 2025Review
- STCC enhances spatial domain detection through consensus clustering of spatial transcriptomics data.Genome research · 2025Article
- Advances in spatial transcriptomics and its application in the musculoskeletal system.Bone research · 2025Review
- Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications.International journal of molecular sciences · 2025Review
- Spatial transcriptomics in autoimmune rheumatic disease: potential clinical applications and perspectives.Inflammation and regeneration · 2025Review
- Progress in multi-omics studies of osteoarthritis.Biomarker research · 2025Review
- Integrating spatial omics with routine haematoxylin and eosin in formalin-fixed paraffin-embedded: a step-by-step clinical workflow.F1000Research · 2025Review
- Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics.bioRxiv : the preprint server for biology · 2024Article
- CD200Nature immunology · 2024Article
- Understanding Spondyloarthritis Pathogenesis: The Promise of Single-Cell Profiling.Current rheumatology reports · 2024Review
- Spatial analysis of the osteoarthritis microenvironment: techniques, insights, and applications.Bone research · 2024Review
- Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy.Frontiers in immunology · 2024Review
- Fibroblasts in rheumatoid arthritis: novel roles in joint inflammation and beyond.Frontiers in medicine · 2024Review
- Multiplexed spatial transcriptomics methods and the application of expansion microscopy.Frontiers in cell and developmental biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lately it has become possible to analyze transcriptomic profiles in tissue sections with retained cellular context. We aimed to explore synovial biopsies from rheumatoid arthritis (RA) and spondyloarthritis (SpA) patients, using Spatial Transcriptomics (ST) as a proof of principle approach for unbiased mRNA studies at the site of inflammation in these chronic inflammatory diseases. Synovial tissue biopsies from affected joints were studied with ST. The transcriptome data was subjected to differential gene expression analysis (DEA), pathway analysis, immune cell type identification using Xcell analysis and validation with immunohistochemistry (IHC). The ST technology allows selective analyses on areas of interest, thus we analyzed morphologically distinct areas of mononuclear cell infiltrates. The top differentially expressed genes revealed an adaptive immune response profile and T-B cell interactions in RA, while in SpA, the profiles implicate functions associated with tissue repair. With spatially resolved gene expression data, overlaid on high-resolution histological images, we digitally portrayed pre-selected cell types in silico. The RA displayed an overrepresentation of central memory T cells, while in SpA effector memory T cells were most prominent. Consequently, ST allows for deeper understanding of cellular mechanisms and diversity in tissues from chronic inflammatory diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.