Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

66 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression patterns in house dust mite stimulated CD4 T cells and IgG:IgE ratios

ABSTRACT: PBMC from house dust mite (HDM) sensitized atopics were cultured in the presence or absence of HDM extract for 24 hours. At the termination of the cultures, CD4 T cells were isolated using immunomagnetic separation. Gene expression was profiled on microarrays. The study design consisted of 45 subjects and two conditions (medium control, HDM stimulation).

ORGANISM(S): Homo sapiens

SUBMITTER: Anthony Bosco

PROVIDER: E-GEOD-70760 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Distinguishing benign from pathologic TH2 immunity in atopic children.

Holt Patrick G PG Strickland Deborah D Bosco Anthony A Belgrave Danielle D Hales Belinda B Simpson Angela A Hollams Elysia E Holt Barbara B Kusel Merci M Ahlstedt Staffan S Sly Peter D PD Custovic Adnan A

The Journal of allergy and clinical immunology 20151027 2

<h4>Background</h4>Although most children with asthma and rhinitis are sensitized to aeroallergens, only a minority of sensitized children are symptomatic, implying the underlying operation of efficient anti-inflammatory control mechanisms.<h4>Objective</h4>We sought to identify endogenous control mechanisms that attenuate expression of IgE-associated responsiveness to aeroallergens in sensitized children.<h4>Methods</h4>In 3 independent population samples we analyzed relationships between aeroa ...[more]

PMID: 26518094

Similar Datasets

Gene expression patterns in allergen-driven CD4 T cell responses from human atopics with or without asthma.

Project description:PBMC from house dust mite (HDM) sensitized atopics with or without asthma (or nonallergic controls) were cultured in the presence or absence of HDM extract for 24 hours. At the termination of the cultures, immunomagnetic separation was performed to purify CD4 T cells. Gene expression was profiled on microarrays. The study design consisted of 72 subjects, and two experimental conditions (medium control, HDM stimulation).

2016-02-25 | E-GEOD-73482 | biostudies-arrayexpress

ADAR1-mediated A-to-I RNA editing is essential for erythropoiesis

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2016-07-24 | E-GEOD-71047 | biostudies-arrayexpress

RNA editing by ADAR1 is essential for erythropoiesis [array]

Project description:Erythroid progenitors purified from EpoRCreR26eYFPADAR1fl/- and EpoRCreR26eYFPADAR1fl/+ control mice were compared for global gene array profiles Each sample was purified from one mouse

2016-07-24 | E-GEOD-59664 | biostudies-arrayexpress

PTHR1 knock-down in osteosarcoma cells

Project description:Expression analysis of OS tumors with shRNA knockdown of PTHR1 mouse OS 80 (a Cre:lox OS cell line from Boston) was tagged with firefly luciferase expression construct. They were then infected with either control (renilla luciferase shRNA) or an shRNA that effective knocks-down PTHR1 (PTHR1.358; para-thyroid hormone receptor). The cells were injected with matrigel onto the back flank of Balb/c nu/nu mice and left to grow for 1 month with weekly monitoring of tumour size by in vivo luciferase assay. At 4 weeks the tumours were removed and trizol stored. Whole tumour was ground up and set form micro-array. 6 tumors with shRNA PTHR1 knockdown ; 6 tumors with shRNA control (renilla luciferase shRNA) knockdown

2015-07-01 | E-GEOD-46861 | biostudies-arrayexpress

Integrated analyses of zebrafish miRNA and mRNA expression profiles identify miR-29b and miR-223 as potential regulators of optic nerve regeneration

Project description:We used microarrays to analyse expression profiles of zebrafish retina after optic nerve crush to identify potential regulatory mechanisms that underpin central nerve regeneration Total RNA extracted from 4 samples (pooling 4 animals) of Zebrafish retinae after performing optic nerve crush (at day 3 post crush) vs 4 samples (pooling 4 animals) of control (unoperated) Zebrafish retinae

2015-06-26 | E-GEOD-70261 | biostudies-arrayexpress

Wnt inhibitory factor 1 (WIF1) is a marker of osteoblastic differentiation stage and is not silenced by DNA methylation in osteosarcoma

Project description:Purpose: We have used microarrays to identify gene expression profiles that distinguish mouse OS cells from normal pre-osteoblast cells and mature osteoblast cells. Methods: Transcriptional profiles of three cell lines derived from tumors from Osx-Cre p53fl/fl Rbfl/fl (fibroblastic OS) mouse model, and from pre-osteoblast cells (Kusa4b10 mouse bone marrow stromal cell line) and osteoblast cells (derived by in vitro differentiation of the Kusab410 mouse bone marrow stromal cell line) were generated by microarray analysis, each in triplicate, using Affymetrix mouse Gene1.0ST arrays. Transcriptional profiles were analyzed in cell lines derived from tumors from a genetically engineered mouse model of human osteosarcoma (Osx-Cre p53fl/fl Rbfl/fl) and osteoblast cells derived from the Kusa4b10 mouse bone marrow stromal cell line, in the undifferentiated state (pre-osteoblasts) and differentiated state (osteoblasts).

2015-01-29 | E-GEOD-63939 | biostudies-arrayexpress

Wnt inhibitory factor 1 (WIF1) is not silenced by DNA methylation in osteosarcoma, and instead, represents a marker of osteoblastic differentiation stage (gene expression)

Project description:The aim was to identify pathways and genes that are transcriptionally deregulated in osteosarcoma due to changes in CpG island DNA methylation. In order to identify candidates, we compared low passage cell cultures derived from a mouse model of osteosarcoma to mature osteoblasts derived by in vitro differentiation of the mouse bone marrow stromal cell line, Kusa4b10. Under cell culture osteoblastic differentiating conditions, Kusa4b10 cells acquire a mature osteoblastic phenotype (21 days). A potential role for DNA methylation in directing gene expression changes was established by integrating gene expression data with genome wide DNA methylation maps generated by methyl-DNA binding domain capture and NimbleGen promoter arrays (MBDCap-Chip). 3 cell lines derived from primary tumors from p53 Rb Osterix-Cre:lox OS model, 3 Osteoblasts (differentiated Kusa4b10 cells (21 days under osteoblastic differentiation conditions)

2015-07-01 | E-GEOD-46929 | biostudies-arrayexpress

Gene expression profile of influenza virus antigen-activated or in vitro stimulated murine CD8+ T cells on day 7

Project description:The precise timing and pathway of memory CD8+ T cells differentiation from naïve T cells have remained undetermined. We found the smaller cell-size and slower cell cycling cells were segregated from the proliferative larger cell-size activated T cell pool at the peak of infection. Gene signature of the smaller cell-size slower cycling cells and the large cell-size proliferative cells was compared to the signature of naïve, effector, central and effector memory CD8+ T cells. Total RNA samples were prepared from sorted populations of larger or smaller cell-sized cells from spleens of influenza virus PR8-OVA-infected mice on day 7 p.i. or from in vitro 7 days culture after stimulation with plate-bound anti-CD3ε (1.0 μg ml−1) and anti-CD28 mAb (0.5 μg ml−1). Effector T-cell control samples were prepared from SIINFEKL (100 ng ml−1) stimulated OT-I cells after 4 days of in vitro culture with rIL-2 (10 ng/ml) and sorted as CD8+CD44hiCD62Llo. Control bona fide effector memory and central memory T cells were sorted from the spleens of PR8-OVA-infected mice on day 42 p.i. Naive cells were sorted as CD8+CD44loCD62Lhi cells from uninfected C57BL/6 mice.

2015-02-25 | E-GEOD-48219 | biostudies-arrayexpress

Overexpression of cSki in hematopoietic stem and progenitor cells

Project description:Human cSki was overexpressed using MIGR1 retrovirus in sorted murine Lin-c-Kit+Sca-1+ cells. Cells were infected and cultured for 2 days after infection prior to isolation of GFP+ve cells and microarray. GFP+ve MIGR1 and cSKI cells were compared. Each sample represents an independent infection with either cSki or MIGR1 Comparison of GFP+ve LKS+ infected with MIGR1 and cSki

2014-01-21 | E-GEOD-39457 | biostudies-arrayexpress

Modeling tumor subtypes in vivo using lineage restricted transgenic shRNA

Project description:Expression analysis from two genetically engineered mouse models of osteosarcoma determine the expression profile of mouse osteosarcoma Human osteosarcoma (OS) is comprised of three different subtypes: fibroblastic, chondroblastic and osteoblastic. We previously generated a mouse model of fibroblastic OS by conditional deletion of p53 and Rb in osteoblasts. Here we report an accurate mouse model of the osteoblastic subtype using shRNA-based suppression of p53. Like human OS, tumors frequently present in the long bones and preferentially disseminate to the lungs; features less consistently modeled using Cre:lox approaches. Our approach allowed direct comparison of the in vivo consequences of targeting the same genetic drivers using different technology. This demonstrated that the effects of Cre:lox and shRNA mediated knock-down are qualitatively different, at least in the context of osteosarcoma. Through the use of complementary genetic modification strategies we have established a model of a distinct clinical subtype of OS that was not previously represented and more fully recapitulated the clinical spectrum of this human tumor. 4 primary tumors from Cre:lox OS model; 4 primary tumors from shRNA OS model.

2013-03-28 | E-GEOD-38742 | biostudies-arrayexpress

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