Gene-regulatory network analysis of ankylosing spondylitis with a single-cell chromatin accessible assay
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA662087 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12604492_1.fastq.gz | Fastqsanger.gz | |||
| SRR12604492_2.fastq.gz | Fastqsanger.gz | |||
| SRR12604493_1.fastq.gz | Fastqsanger.gz | |||
| SRR12604493_2.fastq.gz | Fastqsanger.gz |
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Project description:A detailed understanding of the gene-regulatory network in ankylosing spondylitis (AS) is vital for elucidating the mechanisms of AS pathogenesis. Assaying transposase-accessible chromatin in single cell sequencing (scATAC-seq) is a suitable method for revealing such networks. Thus, scATAC-seq was applied to define the landscape of active regulatory DNA in AS. As a result, there was a significant change in the percent of CD8+ T cells in PBMCs, and 37 differentially accessible transcription factor (TF) motifs were identified. T cells, monocytes-1 and dendritic cells were found to be crucial for the IL-17 signaling pathway and TNF signaling pathway, since they had 73 potential target genes regulated by 8 TF motifs with decreased accessibility in AS. Moreover, natural killer cells were involved in AS by increasing the accessibility to TF motifs TEAD1 and JUN to induce cytokine-cytokine receptor interactions. In addition, CD4+ T cells and CD8+ T cells may be vital for altering host immune functions through increasing the accessibility of TF motifs NR1H4 and OLIG (OLIGI and OLIG2), respectively. These results explain clear gene regulatory variation in PBMCs from AS patients, providing a foundational framework for the study of personal regulomes and delivering insights into epigenetic therapy.
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Project description:Whole blood RNA-sequencing data from 5 AS patients who met 1984 AS criteria and 3 healthy human were obtained to gain insight into the potential mechanism of ankylosing spondylitis.
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Project description:We have compared synovial biopsies from ankylosing spondylitis and undifferentiated spondylitis patients with healthy controls and osteoarthritis patients Objective: In spondylarthropies, whole-genome gene expression profiling studies have been limited to peripheral blood to date. By undertaking a study in knee synovial biopsies from spondylarthropy (SpA) and ankylosing spondylitis (AS) patients we aimed to identified joint-specific candidate genes and pathways. These pathways may mediate systemic inflammation driven joint damaging processes and more specifically, the osteoproliferation that is characteristic of these conditions. Methods: RNA was extracted from six seronegative SpA, two AS, three osteoarthritis (OA) and four normal control knee synovial biopsies. Whole genome expression profiling was undertaken using the Illumina DASL system, which assays 24000 cDNA probes. Differentially expressed candidate genes were then validated using quantitative PCR and immunohistochemistry. Results: 416 differentially expressed genes were identified that clearly delineated between AS/SpA and control groups. Pathway analysis showed altered gene-expression in oxidoreductase activity, osteoblast activity, B-cell associated, matrix catabolic, and metabolic pathways. The inflammatory mediator, MMP3, was strongly upregulated in AS/SpA samples and the Wnt pathway inhibitors DKK3 and Kremen1 were downregulated. Conclusion: Pathways mediating both systemic inflammation as well as local tissue changes were identified. This suggests initial systemic inflammation in spondylarthropies transfers to and persists in the local joint environment, subsequently mediating changes in genes directly involved in the destructive tissue remodelling. Fifteen knee synovial biopsy tissue samples consisting of six seronegative spondyloarthropy (SpA), two ankylosing spondylitis (AS), three osteoarthritis (OA) and four normal control biopsies were obtained from the Synovial Tissue Bank at the Repatriation General Hospital in Adelaide, South Australia with the appropriate ethical approval (Supplementary Table 1). All patients provided informed written consent.
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Project description:In order to recapitulated the primary mechanism of the pathologically enhanced osteogenesis of mesenchymal stem cells from ankylosing spondylitis patients (ASMSCs) over MSCs from healthy donor, we performed multiomic high-throughput sequencing. We analysed the H3K27ac ChIP-seq data according to ROSE algorithm, and identified super enhancers (SEs) in ASMSCs and HDMSCs. The ASMSC-unique SEs (ASUSEs) are associated with osteogenic differentiation and AS pathogenesis. By integrated analysis of H3K27ac ChIP-seq, ankylosing spondylitis (AS) SNPs and RNA-seq data, we discovered the transcription network regulated by AS SNP-adjacent super enhancers (SASEs) during the enhanced osteogenic differentiation of MSCs from AS patients (ASMSCs), which helped us gain insight into the crutial mechanism of AS pathological osteogenesis. And based on the inhibition effect of SE inhibitor JQ1 on the enhanced osteogenic differentiation of ASMSCs, we proposed that SEs may be attractive targets to treat AS pathological osteogenesis.
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Project description:In order to recapitulated the primary mechanism of the pathologically enhanced osteogenesis of mesenchymal stem cells from ankylosing spondylitis patients (ASMSCs) over MSCs from healthy donor, we performed multiomic high-throughput sequencing. We analysed the H3K27ac ChIP-seq data according to ROSE algorithm, and identified super enhancers (SEs) in ASMSCs and HDMSCs. The ASMSC-unique SEs (ASUSEs) are associated with osteogenic differentiation and AS pathogenesis. By integrated analysis of H3K27ac ChIP-seq, ankylosing spondylitis (AS) SNPs and RNA-seq data, we discovered the transcription network regulated by AS SNP-adjacent super enhancers (SASEs) during the enhanced osteogenic differentiation of MSCs from AS patients (ASMSCs), which helped us gain insight into the crutial mechanism of AS pathological osteogenesis. And based on the inhibition effect of SE inhibitor JQ1 on the enhanced osteogenic differentiation of ASMSCs, we proposed that SEs may be attractive targets to treat AS pathological osteogenesis.
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Project description:We have compared synovial biopsies from ankylosing spondylitis and undifferentiated spondylitis patients with healthy controls and osteoarthritis patients Objective: In spondylarthropies, whole-genome gene expression profiling studies have been limited to peripheral blood to date. By undertaking a study in knee synovial biopsies from spondylarthropy (SpA) and ankylosing spondylitis (AS) patients we aimed to identified joint-specific candidate genes and pathways. These pathways may mediate systemic inflammation driven joint damaging processes and more specifically, the osteoproliferation that is characteristic of these conditions. Methods: RNA was extracted from six seronegative SpA, two AS, three osteoarthritis (OA) and four normal control knee synovial biopsies. Whole genome expression profiling was undertaken using the Illumina DASL system, which assays 24000 cDNA probes. Differentially expressed candidate genes were then validated using quantitative PCR and immunohistochemistry. Results: 416 differentially expressed genes were identified that clearly delineated between AS/SpA and control groups. Pathway analysis showed altered gene-expression in oxidoreductase activity, osteoblast activity, B-cell associated, matrix catabolic, and metabolic pathways. The inflammatory mediator, MMP3, was strongly upregulated in AS/SpA samples and the Wnt pathway inhibitors DKK3 and Kremen1 were downregulated. Conclusion: Pathways mediating both systemic inflammation as well as local tissue changes were identified. This suggests initial systemic inflammation in spondylarthropies transfers to and persists in the local joint environment, subsequently mediating changes in genes directly involved in the destructive tissue remodelling.
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