Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,461
datasets available to search
ShareScore release 0.9.0
Dataset results
2,461 results for “Rheumatoid arthritis”
Effectiveness of low-intensity exercise in mitigating active arthritis exacerbation in a mouse rheumatoid-arthritis model
GEO Series GSE271058. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Additive efficacy of a novel bispecific anti-TNF/IL-6 NANOBODY compound in translational models of Rheumatoid Arthritis
GEO Series GSE200293. Homo sapiens; Mus musculus. 154 samples. Type: Expression profiling by high throughput sequencing.
Gene expression from the whole blood of rheumatoid arthritis patients and normal controls.
GEO Series GSE68689. Homo sapiens. 21 samples. Type: Expression profiling by array.
Genes regulated by both of Ten-Eleven translocation 3 and Tumor necrosis factor α in Rheumatoid arthritis fibroblast-like synoviocytes
GEO Series GSE166389. Homo sapiens. 12 samples. Type: Expression profiling by array.
Single-cell genomic profile of articular chondrocytes from rheumatoid arthritis and osteoarthritis patients
GEO Series GSE234702. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Gene expressions of CD4+ T cells from patients with rheumatoid arthritis in each developmental stages
GEO Series GSE80785. Homo sapiens. 24 samples. Type: Expression profiling by array.
Finding two synergized compounds from Chinese herbal medicine in rheumatoid arthritis therapy
GEO Series GSE148598. Rattus norvegicus. 9 samples. Type: Expression profiling by high throughput sequencing.
RNAseq of CD4 T cells from female Rheumatoid arthritis patients [ConA + LPS]
GEO Series GSE201667. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Treatment of rheumatoid arthritis patients with chaperonin 10
GEO Series GSE112809. Homo sapiens. 8 samples. Type: Expression profiling by array.
Affymetrix Chip data of the transcriptome of human clinical study for acupuncture mechanisms on rheumatoid arthritis
GEO Series GSE59526. Homo sapiens. 18 samples. Type: Expression profiling by array.
Differential expression profiles of plasma exosomal microRNAs identify potential biomarkers for rheumatoid arthritis
GEO Series GSE218599. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Computational modelling of the cellular interplay in Rheumatoid Arthritis. Deciphering the role of innate and adaptive immunity in cartilage destruction and bone erosion
<p>Immune dysregulation was first implicated in the pathogenesis of Rheumatoid Arthritis (RA) by the discovery of anti-immunoglobulin G (IgG) antibodies known as rheumatoid factors. However, concepts of how immune responses contribute to disease have evolved dramatically over the last 50 years. Many cells and their cytokines play critical roles in the development of RA. The synovial compartment is infiltrated by leukocytes and the synovial fluid is inundated with pro-inflammatory mediators that are produced to induce an inflammatory cascade, which is characterized by interactions of fibroblast-like synoviocytes with the cells of the innate immune system, including monocytes, macrophages, mast cells, dendritic cell as well as cells of adaptive immune system such as T cells and B cells. The fulminant stage contains hyperplastic synovium, cartilage damage, bone erosion, and systemic consequence.</p> <p>The objective of my project is to construct a computational model able to decipher the interplay between cells of the innate and adaptive immunity in RA, that eventually leads to bone and cartilage breakdown.</p> <p>To do so, we will start by creating separate maps for T cells, B cells, macrophages, fibroblasts, osteoblasts and osteoclasts. We will use different data mining tools, appropriate data bases such as KEGG (Kanehisa et al, 2000), REACTOME (Fabregat et al, 2018) as well as internal data generated within Sanofi. We will exploit the graph editor CellDesigner (Funahashi et al, 2003) and the platform Minerva (Gawron et al, 2016) for automatic annotation and reference of the cell specific maps. We will benefit greatly from a global, fully annotated RA specific map (Singh et al, 2018, Singh et al, 2020). This map features interactions implicated in RA coming from various cell types, but due to the extensive annotations the user can opt for cell specific interactions and extract the corresponding network. We are also going to use public datasets of expression data (microarrays, RNAseq, RNAseq single cell), data concerning metabolic pathways from MetaCyc and Sanofi’s proprietary datasets to enrich and expand existing pathway resources. These maps will be used to generate cell specific dynamic models using the tool CaSQ (Aghamiri et al, 2020). The next step is the creation of a multicellular model to understand how the different cells interact, contributing to the emergent behavior of the system. We will prioritize signature pathways for each cell type and combine them to build a logical model that will represent the intra- and intercellular relationships.</p> <p> </p>
Dataset related to article "Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis"
<p>This record contains raw data related to article "Connecting the use of innovative treatments and glucocorticoids with the multidisciplinary evaluation through rule-based natural-language processing: a real-world study on patients with rheumatoid arthritis, psoriatic arthritis, and psoriasis"</p><p>Abstract</p><p>Background: The impact of a multidisciplinary management of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and psoriasis on systemic glucocorticoids or innovative treatments remains unknown. Rule-based natural language processing and text extraction help to manage large datasets of unstructured information and provide insights into the profile of treatment choices.</p><p>Methods: We obtained structured information from text data of outpatient visits between 2017 and 2022 using regular expressions (RegEx) to define elastic search patterns and to consider only affirmative citation of diseases or prescribed therapy by detecting negations. Care processes were described by binary flags which express the presence of RA, PsA and psoriasis and the prescription of glucocorticoids and biologics or small molecules in each cases. Logistic regression analyses were used to train the classifier to predict outcomes using the number of visits and the other specialist visits as the main variables.</p><p>Results: We identified 1743 patients with RA, 1359 with PsA and 2,287 with psoriasis, accounting for 5,677, 4,468 and 7,770 outpatient visits, respectively. Among these, 25% of RA, 32% of PsA and 25% of psoriasis cases received biologics or small molecules, while 49% of RA, 28% of PsA, and 40% of psoriasis cases received glucocorticoids. Patients evaluated also by other specialists were treated more frequently with glucocorticoids (70% vs. 49% for RA, 60% vs. 28% for PsA, 51% vs. 40% for psoriasis; p < 0.001) as well as with biologics/small molecules (49% vs. 25% for RA, 64% vs. 32% in PsA; 51% vs. 25% for psoriasis; p < 0.001) compared to cases seen only by the main specialist.</p><p>Conclusion: Patients with RA, PsA, or psoriasis undergoing multiple evaluations are more likely to receive innovative treatments or glucocorticoids, possibly reflecting more complex cases.</p><p> </p>
Dataset related to article "Lymphocyte modulation by tofacitinib in patients with rheumatoid arthritis"
<p> This record contains raw data related to article "Lymphocyte modulation by tofacitinib in patients with rheumatoid arthritis"</p> <p>Tofacitinib is an oral small molecule targeting the intracellular Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathways approved for the treatment of active rheumatoid arthritis (RA). We investigated the effects of tofacitinib on the response of RA lymphocytes to B and T cell collagen epitopes in their native and post-translationally modified forms. In particular, peripheral blood mononuclear cells (PBMCs) from patients with RA and healthy subjects were cultured with type II collagen peptides (T261-273, B359-369, carT261-273, citB359-369) or with phorbol myristate acetate (PMA)/ionomycin/CD40L in the presence or absence of 100 nM tofacitinib for 20 h and analyzed by fluorescence activated cell sorter (FACS). Cultures without brefeldin A were used for cytokine supernatant enzyme-linked immunosorbent assay (ELISA) analysis. Tofacitinib down-regulated inflammatory cytokines by stimulated B [interleukin (IL)-6 and tumor necrosis factor (TNF)-α] and T [interferon (IFN)-γ, IL-17 or TNF-α] cells in the short term, while a significant reduction of IL-17 and IL-6 levels in peripheral blood mononuclear cell (PBMC) supernatant was also observed. IL-10 was significantly reduced in collagen-stimulated B cells from patients with RA and increased in controls, thus mirroring an altered response to collagen self-epitopes in RA. Tofacitinib partially prevented the IL-10 down-modulation in RA B cells stimulated with collagen epitopes. In conclusion, the use of tofacitinib exerts a rapid regulatory effect on B cells from patients with RA following stimulation with collagen epitopes while not reducing inflammatory cytokine production by lymphocytes.</p>
Differences in depression, anxiety and stress disorders between fibromyalgia associated with rheumatoid arthritis and primary fibromyalgia
<p>Fibromyalgia (FM) was frequently observed in patients with rheumatoid arthritis<br> (RA). We aimed to evaluate the differences in psychiatric comorbidities and life adversities<br> between patients with Rheumatoid arthritis þ FM (secondary fibromyalgia<br> [SFM]) and people with primary FM (PFM). In a cross‐sectional, observational study,<br> patients with PFM and SFM underwent a structured interview for the lifetime diagnosis<br> of major depression (MDD), panic disorder (PD) and post‐traumatic stress<br> disorder (PTSD) and were assessed for childhood/adulthood adversities and FMrelated<br> symptoms severity. Thirty patients withPFMand 40 withSFMwere recruited.<br> The univariate analysis showed that the lifetime rates of MDD were significantly<br> higher in PFM versus SFM (76.7 % and 40%, respectively, p < 0.003), as well as the<br> rates of PD (50 % and 15%, respectively, p < 0.003), whereas there was no difference<br> in PTSD rates. The rates of sexual abuse and physical neglect were significantly higher<br> in PFM patients versus SFM patients (p < 0.005 and p < 0.023). Life events occurring<br> before FM onset were different in PFM and SFM groups. In the logistic regression<br> model, lifetime PD and physical neglect remain independent risk factors for PFM.<br> PFM and SFM differ in psychiatric comorbidities and environmental adversities,<br> suggesting that common pathogenesis may develop through different pathways.</p>
CCL7 promotes macrophage polarization and synovitis to exacerbate rheumatoid arthritis
GEO Series GSE267151. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Whole-blood transcriptomic profiling highlights rituximab response in rheumatoid arthritis
GEO Series GSE54629. Homo sapiens. 138 samples. Type: Expression profiling by array.
CCL7 promotes macrophage polarization and synovitis to exacerbate rheumatoid arthritis II
GEO Series GSE285977. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profile of endothelial cells derived from circulating progenitors issued from patients with rheumatoid arthritis
GEO Series GSE121894. Homo sapiens. 58 samples. Type: Expression profiling by array.
Dysregulated gene expression in human osteoarthritic (OA) and rheumatoid arthritis (RA) synovium
GEO Series GSE206848. Homo sapiens. 16 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.