Single cell RNA-sequencing of the human synovium in inflammatory arthritis
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ABSTRACT:
PROVIDER: PRJEB53917 | ENA |
REPOSITORIES: ENA
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Project description:The study presents: - an optimized synovium dissociation protocol for single cell RNA-sequencing studies of the human synovium. The protocol enables the isolation of high yield of viable synovial cells from prospectively collected fresh synovial biopsies from patients with inflammatory arthritis with a minimal sample droupout. The protocol is derived from the method for dissociation of cryopreserved synovia published by Donlin and colleagues (Arthritis Res. Ther. 2019). - a reference single-cell atlas of fresh human synovium in inflammatory arthritis, comprising more than 100´000 unsorted synovial scRNA-seq profiles from 27 freshly dissociated synovia of patients with different types of inflammatory arthritis. The synovial cells segregate into ten lymphoid, 14 myeloid and 17 stromal synovial cell populations and subpopulations, including synovial neutrophils, representing broadly representing the cellular heterogeneity and composition of the human synovium in inflammatory arthritis.
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Project description:recision use of targeted therapies is urgently needed to improve long-term clinical outcomes for children affected by inflammatory arthritis, known as Juvenile Idiopathic Arthritis. Progress has been obstructed by a lack of understanding of the cellular basis of joint inflammation in children, given the difficulties in obtaining and studying synovial tissue itself. To this end, we combine single-cell RNA-sequencing, multiplexed immunofluorescence imaging and spatial transcriptomics to define the cellular and transcriptomic landscape of the synovium in children with Juvenile Idiopathic Arthritis. We identify spatial niches of resident and infiltrating cell populations that correlate with the degree of inflammation, and gene programs associated with arthritis severity. Combined with analyses of synovial fluid and peripheral blood from the same children, we distinguish differences in cellular composition, signalling pathways and transcriptional programs across anatomical compartments. Whilst we identify several pathogenic populations shared with adult-onset arthritis, our analyses highlight increased vascularity of the inflamed developing joint and TGFb-driven stromal subsets that upregulate expression of disease risk-associated genes. Overall, these findings illustrate the need for treatment algorithms informed by a tissue-based classification of arthritis.
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Project description:recision use of targeted therapies is urgently needed to improve long-term clinical outcomes for children affected by inflammatory arthritis, known as Juvenile Idiopathic Arthritis. Progress has been obstructed by a lack of understanding of the cellular basis of joint inflammation in children, given the difficulties in obtaining and studying synovial tissue itself. To this end, we combine single-cell RNA-sequencing, multiplexed immunofluorescence imaging and spatial transcriptomics to define the cellular and transcriptomic landscape of the synovium in children with Juvenile Idiopathic Arthritis. We identify spatial niches of resident and infiltrating cell populations that correlate with the degree of inflammation, and gene programs associated with arthritis severity. Combined with analyses of synovial fluid and peripheral blood from the same children, we distinguish differences in cellular composition, signalling pathways and transcriptional programs across anatomical compartments. Whilst we identify several pathogenic populations shared with adult-onset arthritis, our analyses highlight increased vascularity of the inflamed developing joint and TGFb-driven stromal subsets that upregulate expression of disease risk-associated genes. Overall, these findings illustrate the need for treatment algorithms informed by a tissue-based classification of arthritis.
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Project description:Precision use of targeted therapies is urgently needed to improve long-term clinical outcomes for children affected by inflammatory arthritis, known as Juvenile Idiopathic Arthritis. Progress has been obstructed by a lack of understanding of the cellular basis of joint inflammation in children, given the difficulties in obtaining and studying synovial tissue itself. To this end, we combine single-cell RNA-sequencing, multiplexed immunofluorescence imaging and spatial transcriptomics to define the cellular and transcriptomic landscape of the synovium in children with Juvenile Idiopathic Arthritis. We identify spatial niches of resident and infiltrating cell populations that correlate with the degree of inflammation, and gene programs associated with arthritis severity. Combined with analyses of synovial fluid and peripheral blood from the same children, we distinguish differences in cellular composition, signalling pathways and transcriptional programs across anatomical compartments. Whilst we identify several pathogenic populations shared with adult-onset arthritis, our analyses highlight increased vascularity of the inflamed developing joint and TGFb-driven stromal subsets that upregulate expression of disease risk-associated genes. Overall, these findings illustrate the need for treatment algorithms informed by a tissue-based classification of arthritis. Slides were prepared, processed, imaged and underwent post-run staining according to Xenium (10X Genomics) protocols: “CG000580 Rev C”, “CG000582 Rev D”, “CG000584 Rev B” and “CG000613 Rev A”, according to manufacturer’s instructions. For gene detection, slides hybridized with probes from the predesigned Xenium Human Multi-Tissue and Cancer Gene Expression and hMulti_v1 design (chemistry v1: 10x Genomics), consisting of 377 genes was used.
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