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Microarray identifies differentially expressed circRNAs of cartilages between osteoarthritis (OA) patients and control patients

ABSTRACT: Microarray identifies differentially expressed circRNAs of cartilages between osteoarthritis (OA) patients and control patients

PROVIDER: PRJNA740194 | ENA |

REPOSITORIES: ENA

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Microarray identifies differentially expressed mRNAs of cartilages between osteoarthritis (OA) patients and control patients

Project description:Microarray identifies differentially expressed mRNAs of cartilages between osteoarthritis (OA) patients and control patients

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Microarray identifies differentially expressed circRNAs of cartilages between osteoarthritis (OA) patients and control patients

Project description:Chondrocyte apoptosis and aberrant metabolism are involved in the pathogenesis of osteoarthritis. Our study provides potential therapeutic targets to chondrocyte apoptosis and aberrant metabolism in the context of osteoarthritis.

2023-01-11 | GSE178724 | GEO

miRNA sequencing of synovial fluid derived extracellular vesicles between normal and osteoarthritis (OA) patients

Project description:To determine whether extracellular vesicles were also present in human disease, we isolated and evaluated extracellular vesicles from synovial fluid from normal and OA patients at relatively advanced ages (70 - 80 years). Here we report the altered expression of synovial fluid extracellular vesicles-derived miRNAs in osteoarthritis compared to normal patients with age-relate degeneration to investigate potential biomarkers for OA diagnosis. The OA donors had clinical evidence of OA based on pain that led to total joint arthroplasty.

2019-02-18 | GSE126677 | GEO

Microarray identifies differentially expressed mRNAs of cartilages between osteoarthritis (OA) patients and control patients

Project description:Chondrocyte apoptosis and aberrant metabolism are involved in the pathogenesis of osteoarthritis. Our study provides a potential new therapeutic target to chondrocyte apoptosis and aberrant metabolism in the context of osteoarthritis.

2023-01-11 | GSE178557 | GEO

Human OA cartilages treated with ANGPTL3 mimetic LNA043 and placebo

Project description:Human OA cartilages treated with ANGPTL3 mimetic LNA043 and placebo

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Synovial biopsies of osteoarthritis patients

Project description:Synovial biopsies were obtained from osteoarthritis (OA) synovium to find genes upregulated during OA. The genes upregulated during OA can be used to identify disease characteristic genes. 10 microarrays of end-stage OA synovial biopsies were compared to 7 microarrays of synovial biopsies from individuals without a joint disease. Genes with >1.2-fold upregulation and P<0.05 in OA VS HC were selected from the analysis.

2016-06-02 | E-GEOD-82107 | biostudies-arrayexpress

Spatially resolved transcriptional landscape of human knee cartilage in patients with osteoarthritis (OA) and non-OA controls

Project description:Spatially resolved transcriptional landscape of human knee cartilage in patients with osteoarthritis (OA) and non-OA controls

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Synovial biopsies of osteoarthritis patients

2016-06-02 | GSE82107 | GEO

Identification of exosomal mRNA, lncRNA and circRNA signatures in an osteoarthritis synovial fluid-exosomal study

Project description:Aims Osteoarthritis (OA) is a common degenerative disease that is pathologically characterized by destruction of the joint matrix and reduction of articular chondrocytes, resulting in joint deformity and motor dysfunction. However, the molecular mechanisms governing this pathology have not been fully elucidated to date. Methods In this study, we determined the expression levels of lncRNAs, circRNAs, and mRNAs extracted from synovial exosomes of OA and control patients. A network of circRNA/lncRNA–miRNA–mRNA interactions was established using MiRanda and TargetScan software to explore OA pathogenesis. The exosomal lncRNA, circRNA and mRNA expression profiles of the OA and control groups were analysed using LC human competing endogenous RNA (ceRNA) microarrays. The differentially expressed genes were identified to determine their potential roles in the pathogenesis of OA by bioinformatic analysis. Results Compared with the control group, 11 mRNAs, 52 lncRNAs, and 30 circRNAs were upregulated, while 41 mRNAs, 144 lncRNAs, and 68 circRNAs were downregulated in osteoarthritis synovial exosomes. The final ceRNA network of lncRNAs and circRNAs exhibited a complex interaction between ncRNA and mRNA related to OA pathological mechanisms. An intersection analysis of the ceRNA network showed that 22 miRNAs, 45 lncRNAs, and 34 circRNAs in the PI3K/Akt and autophagy pathways correlated with 7 enriched mRNAs and may play important roles in OA pathological mechanisms. Conclusion Our work analysed mRNA/lncRNA/circRNA expression and displayed the ceRNA network of lncRNAs and circRNAs to profile the pathogenesis of OA in synovial exosomes. The results of this study may help to elucidate the pathogenesis of OA and may provide important references for further research attempting to identify more effective targets for the diagnosis and therapy of OA.

2021-10-02 | GSE185059 | GEO

Proteomics profiling of human synovial fluid suggests global increased protein interplay in early-osteoarthritis (OA) and lost in late-stage OA

Project description:The underlying molecular mechanisms in osteoarthritis (OA) development are largely unknown. This study explores the proteome and the pairwise interplay of proteins on a global level in synovial fluid from patients with late-stage knee OA (arthroplasty), early knee OA (arthroscopy due to degenerative meniscal tear) and from deceased controls without knee OA. Synovial fluid samples were analyzed using state-of-the-art mass spectrometry with data-independent acquisition. The differential expression of the proteins detected was clustered and evaluated with data mining strategies and a multilevel model. Group-specific slopes of associations were estimated between expressions of each pair of identified proteins to assess the co-expression (i.e. interplay) between the proteins in each group. More proteins were increased in early-OA vs controls than late-stage OA vs controls. For most of these proteins, the fold changes between late-stage OA vs controls and early stage OA vs controls were remarkably similar suggesting potential involvement in the OA process. Further, for the first time this study illustrated distinct patterns in protein co-expression suggesting that the global interplay between the protein machinery is increased in early-OA and lost in late-stage OA. Further efforts should probably focus on earlier stages of the disease than previously considered.

2022-01-27 | PXD023708 | Pride

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