Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of distinct synovial fibroblast subsets associated with pain and progression of knee osteoarthritis using single-cell RNA sequencing

ABSTRACT: Identification of distinct synovial fibroblast subsets associated with pain and progression of knee osteoarthritis using single-cell RNA sequencing

PROVIDER: PRJNA735750 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14750800.fastq.gz	Fastqsanger.gz
	SRR14750801.fastq.gz	Fastqsanger.gz
	SRR14750802.fastq.gz	Fastqsanger.gz
	SRR14750803.fastq.gz	Fastqsanger.gz
	SRR14750804.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 48

Similar Datasets

Identification of synovial fibroblasts subsets associated with pain and progression of knee osteoarthritis

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

Identification of distinct synovial fibroblast subsets associated with pain and progression of knee osteoarthritis using single-cell RNA sequencing

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

Pain-driven transcriptome changes in synovium of knee osteoarthritis patients

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

Synovial Macrophage Activation Profiles in Experimental Knee Osteoarthritis

Project description:To investigate differences in gene expression of synovial macrophages in experimental rat knee post traumatic osteoarthritis.

2024-03-22 | GSE216932 | GEO

Identification of synovial fibroblasts subsets associated with pain and progression of knee osteoarthritis

Project description:Identification of synovial fibroblasts subsets associated with pain and progression of knee osteoarthritis

| PRJNA735405 | ENA

Synovial Macrophage Activation Profiles in Experimental Knee Osteoarthritis

Project description:Synovial Macrophage Activation Profiles in Experimental Knee Osteoarthritis

| PRJNA896201 | ENA

Transcriptome sequencing of synovial tissues of knee osteoarthritis rats.

Project description:Transcriptome sequencing of synovial tissues of knee osteoarthritis rats.

| PRJNA851763 | ENA

Gene expression in synovial membranes from patients with early and end-stage osteoarthritis

Project description:Osteoarthritis is characterized by degeneration of cartilage and bone in the synovial joints. Recent findings suggest that inflammation may play a role in osteoarthritis, with synovitis being associated with the clinical symptoms of osteoarthritis. Furthermore, we have found that levels of inflammatory complement components are abnormally high in the synovial fluid of individuals with osteoarthritis. To determine whether synovial membranes could be a source of complement and other inflammatory molecules in osteoarthritic joints, we characterized the expression of genes in synovial membranes from patients with early-stage or end-stage osteoarthritis. Samples of synovial membrane were obtained from the suprapatellar pouch of patients with osteoarthritis who were treated at the Hospital for Special Surgery. Specifically, samples were from 10 patients with early-stage knee osteoarthritis who were undergoing arthroscopic procedures for degenerative meniscal tears (with documented cartilage degeneration but no full-thickness cartilage loss, Kellgren Lawrence score </=2), and from 9 patients with end-stage knee osteoarthritis ( diffuse full thickness cartilage erosion) who were undergoing total knee joint replacement. Raw data from microarray analysis of healthy synovial membranes, which were run on the same platform and array as our osteoarthritic samples, were downloaded from the NCBI Gene Expression Omnibus (accession number GSE12021) and used for comparison. The 19 new Samples of this Series were analyzed (RMA) together with 7 previously submitted healthy individual Samples (GSM175810, GSM175812, GSM176290, GSM176291, GSM176292, GSM176268, GSM176269). The complete RMA data are provided as a supplementary file on the Series record. The GSE12021 reanalyzed data are also provided as a supplementary file on the Series record. GSE32317_12genes.txt includes data from figure 1 of the paper.

2011-11-01 | E-GEOD-32317 | biostudies-arrayexpress

Transcriptome sequencing of synovial tissues of knee osteoarthritis rats.

Project description:Using transcriptome sequencing to screen the differntent expression genes in MIA-induced knee osteoarthritis (KOA) model rats compared with normal rats.

2024-06-22 | GSE206678 | GEO

Synovial fluid proteomics from serial aspiration of ACL injured knees identifies candidate biomarkers for osteoarthritis

Project description:Patients with anterior cruciate ligament (ACL) tears have a significantly increased risk for developing knee osteoarthritis. These injuries often result in a knee effusion in response to the injury. Early changes in these effusions could be informative regarding initial steps in the development of post traumatic osteoarthritis. The purpose of this study was to test the hypothesis that the proteomics of knee synovial fluid changes over time following ACL injury.

2022-06-23 | MSV000089716 | MassIVE

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data