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Links from GEO DataSets

Items: 13

1.

Expression data of induced sputum from Unbiased BIOmarkers in Prediction of REspiratory Disease outcomes (U-BIOPRED) Project

(Submitter supplied) Asthma is a heterogeneous disease requiring understandings at molecular level that characterizes subgroups of patients with specific biomarkers to faciliate the development of targeted thearpies. We used Affymetrix U133 Plus 2.0 PM only arrays to explore the gene expression profile from induced sputum cells of 118 moderate/severe asthmatic patients and 21 healthy controls.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13158
139 Samples
Download data: CEL
Series
Accession:
GSE76262
ID:
200076262
2.

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
3.

IL-6 trans-signaling induced gene expression in airway epithelial cells

(Submitter supplied) Background: Although several studies link high levels of IL-6 and soluble IL-6 receptor (sIL-6R) with asthma severity and decreased lung function, the role of IL-6 trans-signaling (IL-6TS) in asthma is unclear. Objective: To explore the association between epithelial IL-6TS pathway activation and molecular and clinical phenotypes in asthma. Methods: Primary human bronchial epithelial cell (HBEC) air-liquid interface (ALI) cultures were stimulated with IL-6 and sIL-6R to establish an IL-6TS gene signature. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
24 Samples
Download data: TXT
Series
Accession:
GSE113185
ID:
200113185
4.

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
5.

Multi-tissue transcriptomics delineates the diversity of airway T cells functions in asthma

(Submitter supplied) Asthma arises from the complex interplay of inflammatory pathways in diverse cell types and tissues including epithelial and T cells.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13158
145 Samples
Download data: CEL
Series
Accession:
GSE89809
ID:
200089809
6.

Lung function, airway and peripheral basophils and eosinophils are associated with molecular pharmacogenomic endotypes of steroid response in severe asthma.

(Submitter supplied) Sputum airway cells transcriptome from 19 asthmatics from the Severe Asthma Research Program at baseline and 6-8 weeks follow-up after a 40mg dose of intramuscular corticosteroid triamcinolone acetonide.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
46 Samples
Download data: TSV
Series
Accession:
GSE184433
ID:
200184433
7.

Asthma II

(Submitter supplied) Bronchial Epithelial Cells were isolated processed as described (Chu et al., 2002 and Zhao et al., 2011). The objective of the study was to identify differentially expressed genes between normal control (NC), mild-moderate asmathic (notSA) and severe asthmatic (SA) patients. For demographics data, contact Dr.Sally Wenzel ([email protected])
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
155 Samples
Download data: TXT
Series
Accession:
GSE63142
ID:
200063142
8.

Transcriptional profiling of TH2 cells identifies pathogenic features associated with asthma

(Submitter supplied) Allergic asthma and rhinitis are two common chronic allergic diseases that affect the lungs and nose, respectively. Both diseases share clinical and pathological features characteristic of excessive allergen-induced type 2 inflammation, orchestrated by memory CD4+ T cells that produce type 2 cytokines (TH2 cells). However, a large majority of subjects with allergic rhinitis do not develop asthma, suggesting divergence in disease mechanisms. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
80 Samples
Download data: TSV
9.

Expression profiling in blood from subjects with severe asthma, moderate asthma, and non-asthmatics collected in the U-BIOPRED study

(Submitter supplied) Severe asthma is a collection of disease entities with varying pathophysiological characteristics (7) that result in symptoms of cough, wheeze and breathlessness, with frequent exacerbations. To address the problem of phenotypic difference and heterogeneity, the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) project was set up as a public-private partnership within the framework of the Innovative Medicines Initiative (IMI), engaging academia, the pharmaceutical industry and patient groups. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13158
498 Samples
Download data: CEL
Series
Accession:
GSE69683
ID:
200069683
10.

Expression in induced sputum during acute exacerbations in asthmatic children with/without chronic airflow obstruction

(Submitter supplied) Asthma exacerbations are associated with subsequent deficits in lung function. Here, we tested the hypothesis that a specific pattern of inflammatory responses during acute exacerbations may be associated with susceptibility to chronic airway obstruction.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
20 Samples
Download data: CEL
Series
Accession:
GSE19903
ID:
200019903
11.

Comparative transcriptomic profiles in U-BIOPRED and Australian Newcastle severe asthma cohorts

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL6104 GPL10558
117 Samples
Download data
Series
Accession:
GSE147881
ID:
200147881
12.

Comparative transcriptomic profiles in U-BIOPRED and Australian Newcastle severe asthma cohorts [sputum]

(Submitter supplied) Severe asthma is a heterogeneous disease. Transcriptomic analysis contributes to understanding the driver mechanisms necessary for developing new therapies. The aim of this study was to identify mechanistic pathways of severe asthma across two independent cohorts.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6104
44 Samples
Download data: TXT
Series
Accession:
GSE147880
ID:
200147880
13.

Comparative transcriptomic profiles in U-BIOPRED and Australian Newcastle severe asthma cohorts [biopsy]

(Submitter supplied) Severe asthma is a heterogeneous disease. Transcriptomic analysis contributes to understanding the driver mechanisms necessary for developing new therapies. The aim of this study was to identify mechanistic pathways of severe asthma across two independent cohorts.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
73 Samples
Download data: TXT
Series
Accession:
GSE147878
ID:
200147878
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