Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MicroRNA expression differences in blood-derived CD19+ B cells of methotrexate treated rheumatoid arthritis patients

ABSTRACT: MicroRNA expression differences in blood-derived CD19+ B cells of methotrexate treated rheumatoid arthritis patients

PROVIDER: PRJNA706743 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13859727.fastq.gz	Fastqsanger.gz
	SRR13859728.fastq.gz	Fastqsanger.gz
	SRR13859729.fastq.gz	Fastqsanger.gz
	SRR13859730.fastq.gz	Fastqsanger.gz
	SRR13859731.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 37

Similar Datasets

MicroRNA expression differences in blood-derived CD19+ B cells of methotrexate treated rheumatoid arthritis patients

Project description:The aims of the study were to assess the global miRNA repertoire of peripheral blood CD19+ B cells, by high throughput sequencing, and to uncover miRNA expression differences between RA patients (newly-diagnosed and methotrexate treated) and healthy controls.

2021-04-28 | GSE168284 | GEO

Gene expression profiles of CD4+ T cells before and after methotrexate treatment in rheumatoid arthritis patients [Microarray]

Project description:To understand the molecular mechanisms by which methotraxate improves the disease activity in rheumatoid arthritis, CD4+ T cells were obtained before and 3month after methotrexate treatment.

2022-05-20 | GSE176440 | GEO

Epigenome wide association study of response to methotrexate in early rheumatoid arthritis patients

Project description:The aim of the study is to identify differentially methylated positions (DMPs) and regions (DMRs) that predict response to Methotrexate (MTX) in early rheumatoid arthritis (RA) patients. DNA from baseline peripheral blood mononuclear cells was extracted from treatment naive RA patients. DNA methylation, quantified using the Infinium MethylationEPIC, was assessed in relation to response to MTX (combination) therapy (deltaDAS28) over the first 3 months in 69 RA patients.

2021-02-07 | E-MTAB-10159 | biostudies-arrayexpress

Effects of methotrexate and tofacitinib on gene expression of activated rheumatoid arthritis fibroblast-like synoviocytes

Project description:Activated fibroblast-like synoviocytes (FLS) are drivers of synovitis and structural joint damage in rheumatoid arthritis (RA). Despite the use of disease-modifying drugs, only about 50% of RA patients reach remission in real-world settings. We used an unbiased approach to investigate the effects of standard-of-care methotrexate (MTX) and a Janus kinase inhibitor, tofacitinib (TOFA), on gene expression in RA-FLS, in order to identify untargeted disease mediators.

2024-10-04 | GSE266310 | GEO

Expression profiling of responsiveness to infliximab in rheumatoid arthritis patients

Project description:Identifying gene expression profiles as predictors of a good vs poor response to a combined infliximab/methotrexate treatment in rheumatoid arthritis patients. Keywords: drug response

2005-11-16 | GSE3592 | GEO

Gene expression of monocytes from rheumatoid arthritis patients treated with bDMARDs and methotrexate.

Project description:It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic Disease-Modifying AntiRheumatic Drugs (bDMARDs) available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and compared the transcriptomic profile of monocytes isolated from patients on treatment with methotrexate alone or in combination with tocilizumab, anti-TNFalpha or abatacept, and from healthy donors. Differential expression analysis of whole-genome transcriptomics yielded a list of regulated genes suitable for functional annotation enrichment analysis. Specifically, abatacept, tocilizumab and anti-TNFalpha cohorts were separately compared with methotrexate using a rank-product-based statistical approach, leading to the identification of 78, 6, and 436 differentially expressed genes, respectively.

2023-03-09 | GSE224330 | GEO

Affymetrix Chip data of the transcriptome of human clinical study for acupuncture mechanisms on rheumatoid arthritis

Project description:We report the application of Affymetrix technology for high-throughput mRNA profiling of rheumatoid arthritis (RA) patients, with acupuncture+Methotrexate and Methotrexate treatments. Clinical Trial ID: https://clinicaltrials.gov/study/NCT01619176

2023-11-06 | GSE59526 | GEO

Differential DNA methylation in Rheumatoid arthritis

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

Whole blood gene expression from subjects with moderate to severe rheumatoid arthritis

Project description:Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis. RA patient samples were collected from a phase III clinical trial of golimumab in Patients with Active Rheumatoid Arthritis Despite Methotrexate Therapy (GO-FURTHER) according to trial protocol approved by local Institutional Review Board. A subset of subjects from the entire trial population at baseline (i.e., 377 subjects before golimumab treatment) was utilized. All patients consented to genetic and transcriptomics analyses.

2016-03-16 | E-GEOD-74143 | biostudies-arrayexpress

Differential DNA methylation in Rheumatoid arthritis

Project description:Genome-wide DNA methylation level was studied to determine whether Rheumatoid arthritis patients (cases) has methylation differences comparing to normal controls in peripheral blood leukocytes (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

2013-01-21 | GSE42861 | GEO

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