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Links from GEO DataSets

Items: 10

1.
Full record GDS5000

Mechanistic Indicators of Asthma (MICA) cohort: peripheral blood

Analysis of peripheral blood from asthmatic and non-asthmatic children (ages 9 to 13), participants of the MICA study conducted by the EPA from 11/2006 to 01/2007 in Detroit, MI. These results, together with clinical biomarker measurements, may help to differentiate asthmatics from non-asthmatics.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 5 age, 3 disease state, 2 gender sets
Platform:
GPL570
Series:
GSE35571
131 Samples
Download data: CEL
2.

Gene expression data from 131 human subjects in Detroit, Michigan

(Submitter supplied) Background Complex diseases are often difficult to diagnose, treat and study due to the multi-factorial nature of the underlying etiology. Large data sets are now widely available that can be used to define novel, mechanistically distinct disease subtypes (endotypes) in a completely data-driven manner. However, significant challenges exist with regard to how to segregate individuals into suitable subtypes of the disease and understand the distinct biological mechanisms of each when the goal is to maximize the discovery potential of these data sets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5000
Platform:
GPL570
131 Samples
Download data: CEL
Series
Accession:
GSE35571
ID:
200035571
3.

Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma

(Submitter supplied) Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes identified TEA clusters. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
112 Samples
Download data: CEL
Series
Accession:
GSE56396
ID:
200056396
4.

Genome-Wide Profiling of Airway Epithelial Cells in Asthmatics, Smokers and Healthy Controls

(Submitter supplied) We collected airway epithelial brushings for microarray analysis from 42 asthmatics and two control groups – 28 healthy subjects and 16 smokers. A subgroup of 32 asthmatics completed a randomized placebo-controlled trial of fluticasone propionate in which collection of brushings was repeated after 1 week of treatment. Keywords: disease state analysis, clinical trial
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
118 Samples
Download data: CEL
Series
Accession:
GSE4302
ID:
200004302
5.

A sputum gene expression signature of six biomarkers identifies asthma inflammatory phenotype and steroid responsiveness

(Submitter supplied) This study identifies differentially expression genes in the sputum of people with eosinophilic, neutrophilic and paucigranulocytic asthma. A selection of markers identified using this microarray were further validated using qPCR on a wider sample set.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6104
47 Samples
Download data: TXT
Series
Accession:
GSE45111
ID:
200045111
6.

microRNA expression data in bronchial epithelial cells from healthy and asthmatic donors

(Submitter supplied) Airway inflammation is the hallmark of asthma and suggests a dysregulation of homeostatic mechanisms. MicroRNAs (miRNAs) are key regulators of gene expression, necessary for the proper function of cellular processes. We used miRNA microarrays to compare the profiles of human bronchial epithelial cells from healthy and asthmatic donors
Organism:
synthetic construct; Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL8786
14 Samples
Download data: CEL
Series
Accession:
GSE25230
ID:
200025230
7.

Blood transcriptome indicates different disease etiology in pediatric ANCA-associated vasculitis subtypes.

(Submitter supplied) Purpose: The goal of this study was to compare gene expression profiles from whole blood RNA-Seq data from pediatric ANCA-associated vasculitis patients to identify mechanistic endotypes. Methods: Whole blood mRNA profiles were generated from pediatric and adult vasculitis patients using Illumina GAIIx or Hi Seq 2500 RNA-Seq. Fastq files were alinged to human genome version GRC38.91 using STAR v2.6 and count data was generated with HTSEQ v0.61p1. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL10999 GPL16791
52 Samples
Download data: TXT
Series
Accession:
GSE129752
ID:
200129752
8.

Lung biopsies from asthmatics pre- and post- steroid treatment and from healthy control

(Submitter supplied) To better understand the therapeutic potential of targeting Th2 inflammation in asthma, we performed genome-wide expression profiling of endobronchial biopsies in asthmatics and healthy controls stratified according a previously defined three-gene Th2 signature in bronchial epithelium. The Th2 signature is defined as relatively high expression of POSTN, CLCA1, and SERPINB2.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
62 Samples
Download data: TXT
Series
Accession:
GSE23611
ID:
200023611
9.

The Combination of a Genome-Wide Association Study of Lymphocyte Count and Analysis of Gene Expression Data Reveals Novel Asthma Candidate Genes

(Submitter supplied) Recent genome-wide association studies (GWAS) have identified a number of novel genetic associations with complex human diseases. In spite of these successes, results from GWAS generally explain only a small proportion of disease heritability, an observation termed the “missing heritability problem.” Several sources for the missing heritability have been proposed, including the contribution of many common variants with small individual effect sizes, which cannot be reliably found using the standard GWAS approach. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
95 Samples
Download data: TXT
Series
Accession:
GSE30697
ID:
200030697
10.

Temporal and Spatial Transcriptional Profiles of Aging in Drosophila

(Submitter supplied) Genetic analyses suggest that alterations in gene expression at the molecular and tissue levels can have profound effects on aging for multi-cellular organisms. However, much remains unknown about the normal pattern of genetic changes in different tissues and how these tissues interact during aging. To investigate tissue-specific aging systematically, we measured expression profiles of aging in Drosophila melanogaster in seven tissues representing nervous, muscular, digestive, renal, reproductive, and storage systems. more...
Organism:
Drosophila melanogaster
Type:
Expression profiling by array
Platform:
GPL4225
70 Samples
Download data
Series
Accession:
GSE6314
ID:
200006314
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