Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA193423 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RF003-V3: Glucocorticoid-responsiveness correlates with an Interferon signature in Rheumatoid Arthritis Patients
| PRJNA231160 | ENA
Project description:High expression alleles of the innate cytokine, macrophage migration inhibitory factor (MIF), are associated with the development or the severity of autoimmune inflammatory diseases, including rheumatoid arthritis. Numerous studies support MIF’s role in activating inflammatory pathways and MIF inhibition reduces joint pathology in different experimental models of arthritis. We examined the impact of gene deletion of MIF or its cognate receptor CD74 in the T cell-dependent model of collagen-induced arthritis (CIA) and observed the complete absence of arthritis development, suggesting an unforeseen role for MIF/CD74 signaling in the development of arthritogenic T cells. While MIF has been shown in model systems to contribute to T cell activation by augmenting innate responses, fewer than 1% of T lineage cells express CD74 in naïve spleens and lymph nodes, and its functional consequences in pathogenic T cell subpopulations have not been studied. We found CD74+ T cells to expand during CIA and to increase in number within joint synovium, where they express an effector memory phenotype and recapitulate CIA development upon transfer into naïve mice. We further found evidence for the presence of CD74+ T cells in the circulation and joint synovium of patients with rheumatoid arthritis. MIF-dependent, CD74+ T cells may contribute to the chronicity of rheumatoid synovitis and to disease relapse in previously inflamed joints.
2025-12-18 | GSE314245 | GEO
Project description:Pain in rheumatoid arthritis is highly debilitating, impacts quality of life and lacks adequate treatment options. Although the presence of pathogenic autoantibodies and systemic and joint inflammation are distinctive features of the disease, the molecular and neuronal basis of pain remains unclear. Here, we identify the molecular mechanism and causative neurons for autoantibody-induced pain in mice. Single-cell RNA sequencing analysis during arthritis pain revealed interferon-stimulated genes, with a persistent nociceptor neuron sensitization, local inflammation and a causative role of interferons acting on polymodal GFRa3-positive C-fiber-nociceptors, as the origin of pain. Consistently, interferon inhibition blocked gene expression alterations and prevented onset as well as reversed established and residual arthritis pain. The discovered pain-causative mechanism may represent a novel therapeutic approach for treatment of pain in rheumatoid arthritis.
2025-12-10 | GSE218634 | GEO
Project description:Genome-wide DNA methylation level was studied to determine whether Rheumatoid arthritis patients (cases) has methylation differences comparing to normal controls in PBLs. We used Illumina HumanMethylation450 BeadChip array to determine the genome-wide DNA methylation difference in PBLs from Rheumatoid arthritis patients (cases) and normal controls Bisulphite converted DNA from the Rheumatoid arthritis patients (cases) and normal controls were hybridized to the Illumina Illumina HumanMethylation450 BeadChip arrays
2013-01-21 | E-GEOD-42861 | biostudies-arrayexpress
Project description:A genome-scale assessment of peripheral blood B-cell molecular homeostasis in patients with rheumatoid arthritis. Keywords: Rheumatoid Arthritis, B-cells
2006-02-18 | GSE4255 | GEO
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis Two disease conditions (rheumatoid arthritis and osteoarthritis) in comparison to normal donors were investigated. For the two disease groups samples derived from three individual patients and two pools of patients were hybridised.
2004-11-04 | E-GEOD-1919 | biostudies-arrayexpress
Project description:Objective: We performed whole-blood transcriptomic profiling for patients with rheumatoid arthritis (RA) who received rituximab (RTX). We aimed to identify a molecular signature that could predict the clinical response to RTX and transcriptomic changes after RTX therapy.
2015-01-01 | GSE54629 | GEO
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:Objective: Gene expression studies performed on PBMC from systemic lupus erythematosus (SLE) patients provided strong evidence of a type I interferon signature, underscoring the potential role of these cytokines in the physiopathology of SLE. In this work, we performed microarray analyses of differential gene expression using purified CD4 T and B cells sorted from SLE PBMC. In order to discriminate genes specific to SLE from those induced by inflammatory responses in general, control samples were obtained not only from healthy individuals but also from rheumatoid arthritis (RA) patients. Results: A strong interferon signature was found both in the CD4 T and the B lymphocytes from SLE patients, thereby confirming the results obtained on total PBMC. Interestingly, many interferon-induced genes were also over-expressed in CD4 and B cells from RA patients. Some genes were more specifically over-expressed in SLE lymphocytes, and 3 of them, SLAMF1, BRDG1 and RASGRP1, were exclusively up-regulated in SLE B cells. SLAMF1 and BRDG1 are localized in disease-associated loci, thereby suggesting that they might play a role in the physiopathology of the disease. Experiment Overall Design: CD4 T and B cells were sorted by flow cytometry from PBMC of patients with SLE, RA and healthy controls. GeneChip® Human genome U133 Plus 2.0 arrays were hybridized in monoplicates and the genes differentially expressed among the three groups of patients were identified using ANOVA tests with corrections for multiple comparisons.
2008-06-13 | E-GEOD-4588 | biostudies-arrayexpress