Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-23205

ABSTRACT: Transcription profiling of peripheral blood from patients with primary progressive multiple sclerosis to compare risk and protective PRF1 haplotypes

OTHER RELATED OMICS DATASETS IN: PRJNA131645

PROVIDER: E-GEOD-23205 | ExpressionAtlas | 2014-07-03

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Similar Datasets

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 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

Homo sapiens

Project description:Transcription signature of Multiple Sclerosis in peripheral blood mononuclear cells.

| PRJNA123611 | ENA

Expression profiles of PBMC from multiple sclerosis patients

2011-03-01 | GSE23832 | GEO

Gene-expression in peripheral blood mononuclear cells from untreated MS patients

Project description:The aim of this study was to identify differentially expressed genes in peripheral blood mononuclear cells from MS patients that were responders or non-responders to the neuroantigen myelin basic protein. Using microarray we measured mRNA-expression levels in freshly isolated peripheral blood mononuclear cells from 17 untreated patients with multiple sclerosis. Based on studies, measuring the responses of blood derived T-cells to myelin basic protein ex vivo, these 17 untreated MS-patients can be divided into two groups: 4 of the untreated multiple sclerosis patients had T-cells that responded to myelin basic protein ex vivo whereas 13 untreated MS patients had T-cells that did not respond to myelin basic protein ex vivo.

2014-11-28 | E-MTAB-2707 | biostudies-arrayexpress

Transcription profiling by array of paired cerebrospinal fluid and peripheral blood lymphocyte samples from multiple sclerosis patients and controls with other non-inflammatory neurological disorders

Project description:We performed gene expression profiling on paired cerebrospinal fluid (CSF) and peripheral blood lymphocyte (PBL) samples from 26 Multiple sclerosis patients without immunomodulatory treatment sampled in relapse or in remission, and 18 controls with other non-inflammatory neurological disorders using Human Genome U133 plus 2.0 arrays (Affymetrix).

2009-12-02 | E-MTAB-69 | biostudies-arrayexpress

Expression data of multiple sclerosis patients receiving Interferon-beta therapy

Project description:The purpose of this study was to characterize the transcriptional effects induced by intramuscular IFN-beta-1a treatment (Avonex, 30 Âµg once weekly) in patients with relapsing-remitting form of multiple sclerosis (MS). By using Affymetrix DNA microarrays, we obtained genome-wide expression profiles of peripheral blood mononuclear cells from 24 MS patients within the first four weeks of IFN-beta administration. Keywords: Multiple sclerosis, Interferon, Pharmacogenomics, Affymetrix EDTA blood samples were taken from all patients immediately before first, second and fifth IFN-beta injection. Total RNA of Ficoll-isolated peripheral blood mononuclear cells from each sample was extracted, labelled and hybridized to Affymetrix Human Genome U133 A and B arrays to quantify the mRNA levels.

2010-05-19 | E-GEOD-19285 | biostudies-arrayexpress

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

Gene expression changes in multiple sclerosis relapse suggest activation of T and non-T cells

Project description:paired comparison of RNA expression in peripheral blood mononuclear cells in the same group of 14 multiple sclerosis patients while stable and while in relapse. A defining feature of multiple sclerosis is the occurrence of clinical relapses separated by periods of clinical stability. Better understanding of the events underlying clinical relapse might suggest new approaches to treatment. We used microarrays to measure mRNA expression in the peripheral blood of 14 MS patients during clinical relapse and while stable. Seventy-one transcripts changed expression at the p<0.001 significance level. The most notable finding was decreased expression of transcripts with regulatory function, expressed primarily in non-T cells. Transcripts with increased expression were primarily expressed in T cells. Pathways analysis suggested involvement of the cytokine network, coagulation and complement cascades, IL-10 signaling, and NF-?B signaling. total RNA from PBMC in relapse and while stable from 14 multiple sclerosis patients

2010-07-30 | E-GEOD-19224 | biostudies-arrayexpress

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 ›

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