Bulk RNA-seq of human knee osteoarthritis synovium
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE283079 | GEO | 2025/01/07
REPOSITORIES: GEO
Similar Datasets
Project description:To classify knee osteoarthritis (OA) synoviums according to gene expression patterns, we performed single cell RNA-seq using synovial tissues obtained from OA patients.
2025-01-07 | GSE283080 | GEO
Project description:Objectives : Joint pain causes a significant morbidity in osteoarthritis (OA). The synovium as an innervated joint structure might contribute to the peripheral pain in OA. Methods : We used a hypothesis-free next generation RNA sequencing to study protein coding and small non-coding transcriptomes in knee synovial tissues of OA patients (n=10) with high and low knee pain (evaluated by visual analogue scale) followed by Gene Ontology (GO) and pathway analyses and integration of mRNAs and small RNAs data sets. Results : We showed that 33 protein-coding genes and 35 small RNAs were differentially expressed in the knee synovium of patients with high compared to low intensity knee pain, with 30 mRNAs and 14 small RNAs being upregulated and 2 mRNAs and 21 small RNAs being downregulated. Top enriched genes, such as SDIM1 and CPE encode neuronal proteins that share molecular properties with neurotrophic factor BDNF and promote neuronal survival under cellular stress, and OTOF participates in calcium-dependent synaptic exocytosis and modulation of GABAergic activity. TrkB was enriched in several gene networks, suggesting its key role in pain-related transcriptional changes in OA joint. Downregulation of PTX3 in high pain group supports an argument that inflammation and pain are independent processes in symptomatic knee OA. MiR-146a-3p and miR150 appeared as the microRNA candidates in the pathogenesis of OA-related knee pain. Conclusions : Here we uncovered the molecular complexity of pain-related transcriptome changes in the synovium of knee joints in osteoarthritis. We identified new molecular candidates in OA pain setting a firm ground for future mechanistic studies and drug discovery in OA.
2018-11-05 | GSE99662 | GEO
Project description:Background: Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from areas associated with pain exhibited different synovial fibroblast transcriptomes, compared to synovial tissue from sites not associated with pain. A further aim was to compare differences between early and end-stage disease synovial fibroblasts. Methods: Patients with early knee OA (n=29) and end-stage knee OA (n=22) were recruited. Patient reported pain was recorded by questionnaire and using an anatomical knee pain map. Proton density fat suppressed MRI axial and sagittal sequences were analysed and scored for synovitis. Synovial tissue was obtained from the medial and lateral parapatellar and suprapatellar sites. RNA sequencing was performed using Illumina’s NextSeq 500 and analysed with Galaxy web platform, usegalaxy.org, and Qlucore software. Transcriptomes were functionally characterised using Ingenuity Pathway Analysis. Findings: Parapatellar synovitis was significantly associated with increased OA pain perception. Functional pathway analysis revealed that early OA painful sites mediate immune cell recruitment and promote the formation and development of neurites. Conclusion: OA disease progression and the presence of pain in early OA is associated with different synovial pathotypes. Further interrogation of these pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting to alleviate pain in patients.
2021-10-20 | GSE176223 | GEO
Project description:Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from areas associated with pain exhibited different synovial fibroblast subsets, compared to synovial tissue from sites not associated with pain. A further aim was to compare differences between early and end-stage disease synovial fibroblast subsets. Parapatellar synovitis was significantly associated with the pattern of patient-reported pain in knee OA patients. Synovial tissue from sites of patient-reported pain exhibited a differential transcriptomic phenotype, with distinct synovial fibroblast subsets in early OA and end-stage OA. Functional pathway analysis revealed that synovial tissue and fibroblast subsets from painful sites promoted fibrosis, inflammation and the growth and activity of neurons. The secretome of fibroblasts from early OA painful sites induced neurite outgrowth in dorsal root ganglion neurons. Sites of patient-reported pain in knee OA is associated with a different synovial tissue phenotype and distinct synovial fibroblast subsets. Further interrogation of these fibroblast pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting of fibroblast subsets to alleviate pain in patients.
2021-10-20 | GSE176308 | GEO
Project description:To investigate differences in gene expression of synovial macrophages in experimental rat knee post traumatic osteoarthritis.
2024-03-22 | GSE216932 | GEO
Project description:The aim of this study was to compare the gene expression pattern of synovial cells from inflammatory (I) or normal/reactive (N/R) areas of a synovial membrane harvested from the same osteoarthritis (OA) patient. This study is the first to identify different expression pattern between two areas of the synovial membrane in the same patient. These differences concern several key pathways involved in OA pathogenesis (inflammation, cartilage metabolism, Wnt signaling and angiogenesis). This analysis also provides interesting information regarding new potent intermediates as potentiel targets for the future therapeutic. Synovial tissues were obtained from 12 knee OA patients at the time of total knee replacement. The inflammatory status of the synovial membrane was characterized according to macroscopic criteria and sorted as N/R and I. Biopsies were cultured separately for 7 days. Microarray gene expression profiling between N/R and I areas was performed.
2013-05-20 | E-GEOD-46750 | biostudies-arrayexpress
Project description:Cartilage destruction in osteoarthritis (OA) results from disturbed chondrocyte metabolism. Here, we used microarrays to show that TGF alpha and CCL2 are simultaneously upregulated in a rat model of OA and cooperate to drive cartilage degradation. The goals of the experiments included here were to a) characterize gene expression in knee joint articular chondrocytes at various stages of development of OA (2 and 8 weeks after surgical induction of OA), and b) to establish trends in gene expression among groups of genes related to the TGF alpha-EGFR axis, over time, in OA. The model chosen to study these results has been previously validated (Appleton, CT et al, 2007, Arthritis Rheum) and used to describe similar gene expression results at a different time point (4 weeks) after induction of OA. The rat model of OA involves surgical destabilization of the knee joint, followed by forced low-intensity mobilization over several weeks; a sham surgery is used as the control (representing a healthy non-OA knee joint) wherein a surgical incision is made but not structural (i.e. ligamentous) modification is made to the joint. Altogether, our data indicate that TGF and CCL2 cooperate to drive cartilage degradation in osteoarthritis. A total of 12 samples were analyzed. 3 replicates were used per condition: OA surgery at 2 weeks, OA surgery at 8 weeks, Sham (control) surgery at 2 weeks and Sham surgery at 8 weeks. Expression of OA samples was assessed relaitve to Sham (control) expression levels.
2012-11-15 | E-GEOD-42295 | biostudies-arrayexpress
Project description:Large scale RNA-Seq analysis was performed to investigate the transcriptomic response to osteoarthritis in cartilage and investigate potential subgroups of patients. Data were collected from intact knee cartilage (posterior lateral condyle) from at total of 60 patients with osteoarthritis (OA) following total knee replacement and 10 control non-OA patients following amputation.
2017-12-13 | E-MTAB-6266 | biostudies-arrayexpress
Project description:<p>The Osteoarthritis Initiative (OAI) is a publicly and privately funded prospective longitudinal cohort with a primary objective of identifying risk factors for incidence and progression of tibiofemoral knee OA. The OAI utilized a focused population-based recruitment to enroll 4,674 men and women between the ages of 45-79 years who either had radiographic symptomatic knee OA or who were without radiographic symptomatic OA in both knees but were considered high risk for OA because they had two or more known risk factors for knee OA. Subjects were recruited into the baseline phase of the OAI at multiple sites throughout the US between 2004 and 2006. All subjects were invited back for follow-up examinations to assess incidence or progression of OA annually, for up to 5 years.</p> <p>Phenotype data from the baseline and follow-up examinations are available for public access from the Osteoarthritis Initiative (OAI) database at <a href="http://www.oai.ucsf.edu/">http://www.oai.ucsf.edu/</a>. </p> <p>The Genetic Components of Knee Osteoarthritis (GeCKO) Study was initiated in 2009 as a genetic ancillary study to perform a genome-wide association study to identify genetic variants associated with radiographic osteoarthritis. This study included 4,482 individuals participating in the parent OAI study. Following sample cleaning (e.g., removal of duplicates, sex mismatches, poor sample quality, etc.), the final sample set included 4,129 individuals.</p>
| phs000955 | dbGaP
Project description:Cartilage destruction in osteoarthritis (OA) results from disturbed chondrocyte metabolism. Here, we used microarrays to show that TGF alpha and CCL2 are simultaneously upregulated in a rat model of OA and cooperate to drive cartilage degradation. The goals of the experiments included here were to a) characterize gene expression in knee joint articular chondrocytes at various stages of development of OA (2 and 8 weeks after surgical induction of OA), and b) to establish trends in gene expression among groups of genes related to the TGF alpha-EGFR axis, over time, in OA. The model chosen to study these results has been previously validated (Appleton, CT et al, 2007, Arthritis Rheum) and used to describe similar gene expression results at a different time point (4 weeks) after induction of OA. The rat model of OA involves surgical destabilization of the knee joint, followed by forced low-intensity mobilization over several weeks; a sham surgery is used as the control (representing a healthy non-OA knee joint) wherein a surgical incision is made but not structural (i.e. ligamentous) modification is made to the joint. Altogether, our data indicate that TGF and CCL2 cooperate to drive cartilage degradation in osteoarthritis.
2012-11-15 | GSE42295 | GEO