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Distinct cellular and spatial niches within the inflamed synovium of childhood arthritis [scRNA-Seq]

ABSTRACT: Distinct cellular and spatial niches within the inflamed synovium of childhood arthritis [scRNA-Seq]

PROVIDER: PRJNA1169842 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR30913900.fastq.gz	Fastqsanger.gz
	SRR30914000.fastq.gz	Fastqsanger.gz
	SRR30913901.fastq.gz	Fastqsanger.gz
	SRR30914001.fastq.gz	Fastqsanger.gz
	SRR30913902.fastq.gz	Fastqsanger.gz

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Distinct cellular and spatial niches within the inflamed synovium of childhood arthritis [xenium]

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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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