Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Time course expression measured by microarray of fresh CD4+ response to activation from healthy individuals

ABSTRACT: Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and activated CD4+ T cells derived from the peripheral blood of healthy individuals. We activated the primary T cells with anti-CD3/CD28 beads alone or with IFNb or Th17 polarizing cytokines.

ORGANISM(S): Homo sapiens

PROVIDER: GSE60234 | GEO | 2014/08/28

SECONDARY ACCESSION(S): PRJNA257801

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Time course expression measured by microarray of fresh CD4+ response to activation from healthy individuals

Project description:Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and activated CD4+ T cells derived from the peripheral blood of healthy individuals. We activated the primary T cells with anti-CD3/CD28 beads alone or with IFNb or Th17 polarizing cytokines. We collected peripheral blood from each human donor. We isolated peripheral blood mononuclear cells by Ficoll, and negatively selected for CD4+ T cells using RosettaSep. We then either left cells unstimulated or stimulated them with beads conjugated with anti-CD3 and anti-CD28 either without additional cytokines, or with IFNb, or with Th17 cocktail. Cells were harvest at up to 8 time points (0hr, 45min, 2hr, 4hr, 10hr, 24hr, 48hr and 72hr), lysed and RNA isolated to be profiled on microarray.

2014-08-28 | E-GEOD-60234 | biostudies-arrayexpress

Expression data measured by microarray of CD4+ T cells from healthy individuals stimulated with anti-CD3/CD28

Project description:This SubSeries in the ImmVar project investigates the response of selected genes in T cells from healthy human individuals to ascertain the impact of genetic or non-genetic variation on T cell activation parameters. We measured gene expression from resting and activated CD4+ T cells derived from the peripheral blood of healthy individuals. We activated the primary T cells with anti-CD3/CD28 beads alone or with IFNb or Th17 polarizing cytokines.

2014-08-28 | GSE60235 | GEO

Expression data measured by custom Nanostring gene set of CD4+ T cells from healthy individuals stimulated with anti-CD3/CD28 with or without IFNb or Th17 polarizing cytokines

Project description:Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and activated CD4+ T cells derived from the peripheral blood of 348 healthy individuals. We activated the primary T cells with anti-CD3/CD28 beads. We collected peripheral blood from each human donor. We isolated peripheral blood mononuclear cells by Ficoll, and negatively selected for CD4+ T cells using RosettaSep. We isolated peripheral blood mononuclear cells by Ficoll, and negatively selected for CD4+ T cells using RosettaSep. We then either left cells unstimulated or stimulated them with beads conjugated with anti-CD3 and anti-CD28 either without additional cytokines, or with IFNb, or with Th17 cocktail. Cells were harvest at 0hr, 4hr (anti-CD3/CD28 +/- IFNb) or 48hr (anti-CD3/CD28 +/- Th17), lysed and RNA isolated to be profiled on Nanostring.

2014-08-28 | E-GEOD-60341 | biostudies-arrayexpress

Expression data measured by custom Nanostring gene set of CD4+ T cells from healthy individuals stimulated with anti-CD3/CD28 with or without IFNb or Th17 polarizing cytokines

2014-08-28 | GSE60341 | GEO

Expression data measured by microarray of CD4+ T cells from healthy individuals stimulated with anti-CD3/CD28 with or without IFNb or Th17 polarizing cytokines

Project description:Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and activated CD4+ T cells derived from the peripheral blood of healthy individuals. We activated the primary T cells with anti-CD3/CD28 beads. We collected peripheral blood from each human donor. We isolated peripheral blood mononuclear cells by Ficoll, and negatively selected for CD4+ T cells using RosettaSep. We then either left cells unstimulated or stimulated them with beads conjugated with anti-CD3 and anti-CD28. Cells from 15 individuals were harvested at up to 3 time points (0hr, 4hr or 48hr), lysed and RNA isolated to be profiled on microarray.

2014-08-28 | E-GEOD-60235 | biostudies-arrayexpress

Expression data measured by Nanostring of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated

2014-03-01 | GSE53165 | GEO

Expression data measured by microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or left unstimulated

2014-03-01 | GSE53166 | GEO

Expression data measured by Nanostring of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated

Project description:Variation in individuals' responses to environmental factors is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We measured gene expression from resting and stimulated dendritic cells (DCs) derived from the peripheral blood of healthy individuals. We stimulated the primary DCs with E. coli lipopolysaccharide (LPS), influenza virus or the cytokine IFNβ, and associated genetic variation between individuals with the observed variation in gene expression and gene induction. We collected peripheral blood from each human donor. We isolated peripheral blood mononuclear cells by Ficoll, and magnetically sorted them for CD14+CD16- monocytes. We then differentiated the monocytes into monocyte-derived dendritic cells (MoDCs) by culturing the cells for 7 days with GM-CSF and IL-4. We stimulated the cells with E. coli lipopolysaccharide (LPS) for 2.5 hr or 5 hr, influenza (PR8 dNS1) for 10 hr, or recombinant IFN-beta for 6.5 hr. Finally, we lysed the cells and ran Nanostring on the lysates.

2014-03-01 | E-GEOD-53165 | biostudies-arrayexpress

Variation in primary CD4+ T cell response to activation across time and people

Project description:This SuperSeries is composed of the SubSeries listed below. Variation in individuals' adaptive immune response is believed to influence susceptibility to complex diseases in humans. The genetic basis of such variation is poorly understood. We analyzed the response of human CD4+ T cells from a cohort of 348 healthy humans, representing three major ancestries, to in vitro stimulation, alone or in Th17 conditions, or with IFNb stimulation.

2014-08-28 | GSE60236 | GEO

RNA-seq time course on human CD4 memory T cells stimulated with anti-CD3/CD28 beads

Project description:In this study we sought to analyze the effects of genetic variants on gene regulation in a cell-state dependent manner during CD4 memory T cell activation. To do this, we performed an RNA-seq time series experiment on CD4 memory T cells activated with anti-CD3/CD28 beads in individuals with no autoimmune disease. We measured gene expression levels, and allele-specific expression at heterozygous sites over time. We found widespread dynamic genetic regulatory effects across the genome, with an enrichment for genes found in autoimmune disease risk loci.

2019-11-13 | GSE140244 | 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