Single cell RNA sequencing on synovium, meniscus and cartilage of rheumatoid arthritis
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ABSTRACT:
PROVIDER: PRJNA1274889 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33946132_1.fastq.gz | Fastqsanger.gz | |||
| SRR33946132_2.fastq.gz | Fastqsanger.gz | |||
| SRR33946133_1.fastq.gz | Fastqsanger.gz | |||
| SRR33946133_2.fastq.gz | Fastqsanger.gz | |||
| SRR33946134_1.fastq.gz | Fastqsanger.gz |
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Project description:Rheumatoid arthritis (RA) induced destruction of knee joints is a common cause of total knee arthroplasty (TKA). Under single cell RNA sequencing generated by 10x Genomics, we identified CD142+ synovial fibroblasts as a novel cluster, located at the sublining layer in normal and osteoarthritis knee synovium, but elevated and distributed at the lining layer in RA knee synovium, and infiltrated in multiple RA joint synovia. Intra-articular injection of CD142+ synovial fibroblasts can quickly and drastically damage the meniscus but has a slight effect on cartilage.Long-term follow-up of the RA cohort indicated that enriched CD142+ synovial fibroblasts in the lining layer was a risk factor for severe joint destruction and eventually underwent TKA. Our results demonstrate that CD142+ synovial fibroblasts can be used as an indicator to assess prognosis and a therapeutic target to inhibit meniscal damage, thereby alleviating RA knee joint destruction.
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2022-08-01 | GSE206848 | GEO
Project description:Rheumatoid arthritis is an autoimmune inflammatory joint condition which primarily affects the synovium of joints, characterised by synovial inflammation as well as articular cartilage and underlying bone destruction. Within this study, the proteomes of serum obtained from rheumatoid arthritis patients, and appropriate human controls, were analysed using liquid chromatography-tandem mass spectrometry. ProteoMiner™ equalisation columns were used to deplete high abundant proteins and reduce the protein concentration dynamic range.
2022-04-04 | PXD020235 | Pride
Project description:Intent of this experiment is to define the baseline transcriptome of the synovium obtained from rheumatoid arthritis patients prior to initiation of DMARD (Disease-modifying antirheumatic drug) therapy and compare it with the synovial transcriptome of rheumatoid arthritis patients with an established disease profile.
2022-06-01 | E-MTAB-11274 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Using regression correlation
2005-12-14 | E-GEOD-3824 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs
2005-12-15 | GSE3824 | GEO
Project description:This study invesigates the effects of neutrophil extracellular traps (NETs) on articular cartilage degredation and resulting autoimmune responses in rheumatoid arthritis.
2020-08-10 | GSE150466 | GEO
Project description:Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic destructive arthritis. Although helper T cells are involved in the pathogenesis of RA, the characteristics of synovium-infiltrating CD4+ T cells are still largely unknown. In this study, we investigated synovium-infiltrating helper T cells of rheumatoid arthritis patients
2023-05-18 | GSE216245 | GEO
Project description:Background: Meniscus tears are the most common injury in the knee and are associated with an increased risk of osteoarthritis (OA). The molecular profile of knees with meniscus tears is not well-studied. Therefore, to advance our understanding of the early response of the knee to injury, we compared the gene expression profile of meniscus and articular cartilage within the same knees following meniscus injury. Hypothesis/Purpose: To identify differences between the molecular signatures of meniscus and articular cartilage from knees with intact articular cartilage undergoing arthroscopic partial meniscectomy. Study Design: Descriptive laboratory study Methods: Patients (n=12) with a known isolated medial meniscus tear without any knee chondrosis or radiographic OA were consented prior to surgery. During arthroscopic partial meniscectomy, a sample of their injured meniscus and a sample of their articular cartilage off the medial femoral condyle were procured. The transcriptome signatures, as measured through Affymetrix microarray, were compared between the two tissues and underlying biological processes were explored computationally. Results: 3566 gene transcripts were differentially expressed between meniscus and articular cartilage. Gene transcripts down-regulated in articular cartilage were associated with extracellular matrix organization, wound healing, cell adhesion, and chemotaxis. Gene transcripts up-regulated in articular cartilage were associated with blood vessels morphogenesis and angiogenesis. Examples of individual genes with significant differences in expression between the two tissues include IBSP (23.76 fold; P < 0.001), upregulated in meniscus, and TREM1 (3.23 fold; P = 0.006), upregulated in meniscus. Conclusion: The meniscus and articular cartilage have distinct gene expression profiles in knees with meniscus tears and intact articular cartilage. Total RNA obtained from injured meniscus and normal articular cartilage from patients undergoing partial meniscectomy.
2015-03-06 | E-GEOD-66635 | biostudies-arrayexpress