Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-66573

ABSTRACT: RNA-seq of peripheral blood from healthy controls and established relapsing-remitting multiple sclerosis patients

DISEASE(S): Normal,Relapsing-remitting Multiple Sclerosis

PROVIDER: E-GEOD-66573 | ExpressionAtlas | 2025-01-24

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-66573-analysis-methods.tsv	Tabular
	E-GEOD-66573-analytics.tsv	Tabular
	E-GEOD-66573-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-66573-configuration.xml	Xml
	E-GEOD-66573-g1_g2-mvaPlot.png	Other

Items per page:

1 - 5 of 22

Similar Datasets

Single-nucleus RNA-seq of peripheral blood mononuclear cells from multiple sclerosis patients and healthy controls

Project description:Single-nucleus RNA-seq of peripheral blood mononuclear cells from multiple sclerosis patients and healthy controls

| PRJNA1306060 | ENA

Expression profiles of PBMC from multiple sclerosis patients

Project description:Affymetrix GeneChip Human Gene 1.0 ST Array was applied to compare the expression profiles in peripheral blood mononuclear cells(PBMC) between healthy controls and multiple sclerosis patients(MS pt). It suggested that certain genes involved in apoptosis pathway have been changed regulated in PBMC from MS pt. Applying Affymetrix GeneChip Human Gene 1.0 ST Array and the mixed effects model for gene set analysis, we compared gene expression profiles between 8 multiple sclerosis (MS) patients and 4 healthy controls (HC).

2011-03-01 | E-GEOD-23832 | biostudies-arrayexpress

Peripheral blood gene expression profiling in multiple sclerosis

Project description:We measured global mRNA expression in peripheral blood mononuclear cells (PBMC) from 182 individuals, comprising of 142 multiple sclerosis (MS) patients affected with distinct MS clinical forms and 40 healthy controls.

2017-09-30 | E-MTAB-4890 | biostudies-arrayexpress

Peripheral blood gene expression profiling in multiple sclerosis

Project description:We measured global mRNA expression in peripheral blood mononuclear cells (PBMC) from 76 individuals, comprising of 49 multiple sclerosis (MS) patients affected with distinct MS clinical forms and 27 healthy controls.

2017-09-30 | E-MTAB-5151 | biostudies-arrayexpress

Transcription signature of Multiple Sclerosis

Project description:This SuperSeries is composed of the following subset Series: GSE17393: Transcription signature of Multiple Sclerosis in peripheral blood mononuclear cells. GSE17409: Pregnancy changes expression in peripheral blood mononuclear cells of healthy donors GSE17410: Pregnancy changes expression in peripheral blood mononuclear cells of Multiple Sclerosis (MS) patients Refer to individual Series

2010-01-10 | E-GEOD-17449 | biostudies-arrayexpress

Expression data from multiple sclerosis patients in remission and relapse

Project description:Whole-genome expression of peripheral blood leukocytes was measured in 22 patients and 24 controls using the Human Gene 1.0 ST array by Affymetrix 22 Multiple Sclerosis patients with samples both in remission and relapse (2 samples for each patient; 44 blood samples in total) and 24 healthy controls were included in the study, for a total of 68 samples.

2013-04-01 | E-GEOD-41890 | biostudies-arrayexpress

Project description:Whole-Transcriptome Analysis in Peripheral Blood Mononuclear Cells from Multiple Sclerosis Patients and Healthy controls

| PRJNA732389 | ENA

Expression profiles of PBMC from multiple sclerosis patients

2011-03-01 | GSE23832 | GEO

Differential DNA methylation in Multiple Sclerosis

Project description:Genome-wide DNA methylation level was studied to determine whether multiple sclerosis 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 peripheral blood from multiple sclerosis patients (cases) and normal controls

2018-04-20 | GSE106648 | GEO

Design of an unbiased machine learning workflow to predict Multiple Sclerosis staging from blood transcriptome

Project description:Construction of gene expression-based classifiers to predict the different Multiple Sclerosis stages from peripheral blood mononuclear cells (PBMC) transcriptome of MS patients and controls.

2020-09-01 | GSE136411 | 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