Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA291601 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene Expression data from synovium in mouse serum transfer arthritis model (STA) model
| PRJNA291602 | ENA
Project description:Gene and miRNA Expression data from synovium in mouse serum transfer arthritis model (STA) model
| PRJNA291595 | ENA
Project description:To find regulated genes during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse Serum Transfer Arthtitis (STA) model at day 0 (Non Arthritic) and day 10 (Peak Inflammation). Serum transfer arthritis was induced in 12-week-old male C57BL/6J mice (The Jackson Laboratory) by intraperitoneal injection of 150 μl of arthritogenic serum on days 0, 2, and 7. Nonarthritic mice received 150 μl of sterile phosphate buffered saline at each time point.
2016-09-28 | GSE71599 | GEO
Project description:To find regulated miRNAs during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse STA model at day 0 (Non Arthritic) and day 10 (Peak Inflammation). For miRNA profiling, we used high-throughput BioMark Real-Time PCR system (Fluidigm, South San Francisco, CA)
2016-09-28 | GSE71600 | GEO
Project description:Expression data from the hearts of a mouse model of spontaneous myocardial infarction
2015-07-27 | E-GEOD-49937 | ExpressionAtlas
Project description:Transcriptional Profiling of Synovium in a Porcine Model of Early Post-traumatic Osteoarthritis
2019-09-09 | E-MTAB-6664 | ExpressionAtlas
Project description:Background: Unbiased studies using different genome-wide methods have identified several promising novel biomarkers for diagnosis and treatment response in Rheumatoid Arthritis (RA). However, clinical translation has proven difficult. Here, we hypothesized that one reason could be that inflammatory responses in peripheral blood are different from those in the arthritic joint. Methods: We performed meta-analysis of gene expression microarray data from synovium, whole blood cells (WBC), peripheral blood mononuclear cells (PBMC), and CD4+ T cells from patients with RA and healthy control in order to identify overlapping pathways, predicted upstream regulators and potential biomarkers. We also analyzed single cell RNA-sequencing (scRNA-seq) data from peripheral blood and whole joints from a mouse model of antigen-induced arthritis. Results: Analyses of two profiling data sets from synovium from RA patients and healthy controls all showed significant activation of pathways of known pathogenic relevance, such as Th1 pathway, role of NFAT in regulation of the immune response, dendritic cell maturation, iCOS-iCOSL signaling in T helper cells, Fc? receptor-mediated phagocytosis, interferon signaling, Cdc42 signaling, and cytotoxic T lymphocyte-mediated apoptosis. The most activated upstream regulators included TNF, an important drug target, as well as IFN-gamma and CD40LG, all of which are known to play important pathogenic roles in RA. The differentially expressed genes from synovium included several potential biomarkers, such as CCL5, CCL13, CCL18, CX3CL1, CXCL6, CXCL9, CXCL10, CXCL13, IL15, IL32, IL1RN, SPP1, and TNFSF11. By contrast, microarray studies of WBC, PBMC and CD4 + T cells showed variable pathways and limited pathway overlap with synovium. Similarly, scRNA-seq data from a mouse model of arthritis did not support that inflammatory responses in peripheral blood reflect those in the arthritic joints. These data showed pathway overlap between mouse joint cells and synovium from patients with RA, but not with cells in peripheral blood. Conclusions: Our findings indicate a dichotomy between gene expression changes, pathways, upstream regulators and biomarkers in synovium and cell types in peripheral blood, which complicates identification of biomarkers in blood.
2020-01-10 | GSE141105 | GEO
Project description:Expression data from mouse model using targeted deletion of hepatic RICTOR (Albumin-Cre Rictor LoxP/LoxP)
2015-07-13 | E-GEOD-46515 | ExpressionAtlas
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:The study presents: - an optimized synovium dissociation protocol for single cell RNA-sequencing studies of the human synovium. The protocol enables the isolation of high yield of viable synovial cells from prospectively collected fresh synovial biopsies from patients with inflammatory arthritis with a minimal sample droupout. The protocol is derived from the method for dissociation of cryopreserved synovia published by Donlin and colleagues (Arthritis Res. Ther. 2019). - a reference single-cell atlas of fresh human synovium in inflammatory arthritis, comprising more than 100´000 unsorted synovial scRNA-seq profiles from 27 freshly dissociated synovia of patients with different types of inflammatory arthritis. The synovial cells segregate into ten lymphoid, 14 myeloid and 17 stromal synovial cell populations and subpopulations, including synovial neutrophils, representing broadly representing the cellular heterogeneity and composition of the human synovium in inflammatory arthritis.
2024-04-21 | E-MTAB-11791 | biostudies-arrayexpress