Single Cell RNA in RA Synovium
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA803484 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17886420.fastq.gz | Fastqsanger.gz | |||
| SRR17886421.fastq.gz | Fastqsanger.gz | |||
| SRR17886422.fastq.gz | Fastqsanger.gz | |||
| SRR17886423.fastq.gz | Fastqsanger.gz | |||
| SRR17886424.fastq.gz | Fastqsanger.gz |
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Project description:Single cell analysis of PVNS synovium from human
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Project description:Osteoarthritis (OA) causes pain and functional disability for over 500 million people worldwide and is characterized by progressive loss of cartilage and synovial hyperplasia from the articulating surfaces of diarthrodial joints. Although the etiology of the disease is unknown, it is widely accepted that these degenerative changes arise from an imbalance of synthetic and degradative pathways that control cartilage and synovium extracellular matrix metabolism. Genome-wide U133A Affymetrix oligonucleotide array set was used to comprehensively investigate the expression pattern in non-osteoarthritis (normal) and synovium obtained from OA and rheumatoid arthritis (RA) patients undergoing knee replacement surgery. This study was undertaken to understand the disease's molecular basis better and provide relevant insight into phenotypical alterations and mechanisms involved in OA pathogenesis.
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Project description:Pseudotime analysis, cytotrace, velocity was used to determine the source of subpopulation. To compare the difference between PVNS and steady state synovium, we conduct collaborated analysis containing both PVNS and OA synovium. Qusage analysis reveal the difference of the subsets between them. We for the first time using single cell analysis delineating PVNS cell atlas and have deepen understanding toward PVNS Presumed function and source of certain subpopulation might be the future target that worth trying. We also locate major subpopulation that is responsible for its unremitting inflammation, angiogenesis and invasiveness.
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Project description:Treatment refractory Rheumatoid Arthritis (RA) is a major clinical challenge. Drug-free remission is uncommon but provides proof-of-concept that articular immune-homeostasis can be reinstated. In this project, we used single-cell RNA- to study the role of synovial tissue macrophages in maintaining disease remission. We have sequenced synovial tissue macrophages from individuals with healthy synovium (as evaluated by MRI), patients with undifferentiated arthritis (UPA), RA patients naïve to treatment, RA patients resistant to treatment and RA patients in disease remission
2020-04-18 | E-MTAB-8322 | biostudies-arrayexpress
Project description:At a given time, rheumatoid arthritis (RA) is a heterogeneous disease and its underlying molecular mechanisms is still poorly understood. Because previous microarrays studies have only focused on late RA stages, we aimed to compare the biological and molecular profiles in early and long-standing (LS) RA. Synovial biopsies obtained by arthroscopy were performed in 4 early untreated RA patients, 4 LS treated RA patients and 7 control patients. Extracted mRNA were linearly amplified and used for large-scale gene expression profiling by cDNA arrays. By gene ontology analysis, the different gene combinations obtained by comparison of early, LS RA and normal synovium were used to identify the biological processes, molecular functions and pathways involved at each stage. Three combinations of 719, 116 and 52 transcripts dissociated respectively early from LS RA patients, early or LS RA from normal synovium. We identified several gene clusters and distinct molecular signatures specifically related to early or LS RA suggesting the involvement of different pathological mechanisms at each stage. Early and LS RA have distinct molecular signatures with the participation of different biological processes during the course of the disease. These results suggest that a better knowledge of the main biological processes involved at a given RA stage might help the rheumatologist to choose the more appropriate treatment. PBMC then RNA were extracted from synovial biopsies of 4 eraly RA patients, 4 long-standing RA patients and from 7 normal synovium used as control. Each sample was hybridized three times in different nylon membrane.
2010-06-25 | E-GEOD-13026 | biostudies-arrayexpress
Project description:Background: Rheumatoid arthritis (RA) is a complex heterogenous autoimmune disease and achieving long term disease remission is an elusive goal for patients, thus implying improvement in drug targeting is necessary. Kinases are intracellular signalling mediators and key to sustaining the inflammatory process in RA. Therefore, oral inhibitors of specific kinases, such as Cyclin Dependent Kinases (CDKs) and Janus Kinase (JAKs), are under development or have been approved. However, the cell signalling mechanisms in treatment naïve RA patients is yet to be explored, which may facilitate targeted therapy stratification. Methods: We undertook phosphoproteome and total proteome analysis of 8 pre-treatment synovial biopsies of RA patients using label-free mass spectrometry. Results: The analysis revealed a clear separation of the phosphoproteome and proteome profile between the lymphoid and myeloid RA pathotypes. Differential expression analysis and function enrichment showed that the degree of inflammatory state and specific signalling activities are associated with different RA pathotypes. The lymphoid pathotype was enriched with immunological pathways and associated with Mammalian Target Of Rapamycin (MTOR) signalling, whereas the myeloid pathotype was associated with Mitogen-Activated Protein Kinase (MAPK) and CDK mediated signalling. This analysis also highlighted kinases not previously linked to RA, such as Serine/Threonine Protein Kinase N1 (PKN1) in the lymphoid pathotype and Protein Kinase, DNA-Activated, Catalytic Subunit (PRKDC) in the myeloid pathotypes. Certain phosphosites were also highly correlated with clinical features, such as Disabled Homolog 2 (DAB2)-Ser723 with Disease Activity Score (DAS)-28, and so these may be potential biomarkers of disease progression and response. Conclusions: These data provide evidence that specific phosphoproteome and proteome signatures are associated with different RA pathotypes and may have clinical utility for stratifying patients as part of a personalised medicine approach.
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