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Links from GEO DataSets

Items: 16

1.

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
2.

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
3.

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
4.

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
5.

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
6.

Transcriptomic Analysis of Airway Smooth Muscle by Next-Generation Sequencing (RNA-Seq): Asthma versus Healthy Controls

(Submitter supplied) Rationale: Asthma and atopy shares common features including Th2-inflammation. However, impairment of airway function seems to be absent in atopy. Increased understanding of the complex cellular and molecular pathways defining the similarities and differences between asthma and atopy may be achieved by transcriptomic analysis (RNA-Seq). Hypothesis and Aims: As the airway smooth muscle (ASM) layer plays an important role in airway function, we hypothesized that the transcriptomic profile of the ASM layer in endobronchial biopsies is different between atopic asthma patients and atopic healthy controls. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14603
24 Samples
Download data: CSV
Series
Accession:
GSE38003
ID:
200038003
7.

Systemic inflammation is associated with differential gene expression and airway neutrophilia in asthma

(Submitter supplied) Systemic inflammation is reported to be associated with neutrophilic airway inflammation in asthma, this study aimed to examine the molecular mechanisms of the neutrophilia that is associated with systemic inflammation, and hypothesized that asthma patients with systemic inflammation have a group of genes that are differentially expressed and are assciated with airway inflammation.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6104
50 Samples
Download data: TXT
Series
Accession:
GSE43397
ID:
200043397
8.

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
9.

Transcriptomic profiling of peripheral blood CD4+ T cells in asthmatics with and without depression

(Submitter supplied) The aim of this study was to determine whether asthma with depression is characterized by unique pathophysiological pathways by analyzing the global gene expression patterns of CD4+ lymphocytes from asthmatics with or without depression.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
24 Samples
Download data: TXT
Series
Accession:
GSE58430
ID:
200058430
10.

Transcriptomic evaluation of skin tape-strips in children with allergic asthma uncovers epidermal barrier dysfunction and asthma-associated biomarkers abnormalities

(Submitter supplied) Tape-strips were obtained from skin of 18 pediatric patients with moderate allergic asthma (MAA) (n=11), severe allergic asthma (SAA) (n=9), and from healthy children (n=12) and analyzed with bulk RNA-sequencing (RNA-seq). Differential expression was defined as |fold change|≥2 and false discovery rate<0.05. MAA and SAA shared downregulation of G-protein-coupled receptor- (GPCR), mitochondria-, and Wnt-signaling-related genes. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24014
32 Samples
Download data: CSV
Series
Accession:
GSE245608
ID:
200245608
11.

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
12.

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
13.

Next-Generation Transcriptome Sequencing (RNA-Seq) of Human Endobronchial Biopsies: Asthma vs Controls

(Submitter supplied) Rationale: The cellular and molecular pathways in asthma are highly complex. Increased understanding can be obtained by unbiased transcriptomic analysis (RNA-Seq). Hypothesis and Aims: We hypothesized that the transcriptomic profile of whole human endobronchial biopsies differs between patients with asthma and controls. First, we investigated the feasibility to obtain RNA from whole endobronchial biopsies suitable for RNA-Seq. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14603
2 Samples
Download data: CSV
Series
Accession:
GSE38994
ID:
200038994
14.

Sphingosine-1-phosphate induces pro-remodelling response in airway smooth muscle cells

(Submitter supplied) Background: Increased proliferation of airway smooth muscle (ASM) cells leading to hyperplasia and increased ASM mass is one of the most characteristic features of airway remodelling in asthma. A bioactive lipid, sphingosine-1-phosphate (S1P), has been suggested to affect airway remodelling by stimulation of human ASM cell proliferation. Objective: To investigate the effect of S1P on signalling and regulation of gene expression in ASM cells from healthy and asthmatic individuals. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5188
6 Samples
Download data
Series
Accession:
GSE58657
ID:
200058657
15.

SINGLE-CELL CHARACTERIZATION OF A MODEL OF POLY I:C-STIMULATED PERIPHERAL BLOOD MONONUCLEAR CELLS IN SEVERE ASTHMA

(Submitter supplied) Background: Asthma has been associated with impaired interferon response. Multiple cell types have been implicated in such response impairment and may be responsible for asthma immunopathology. However, existing models to study the immune response in asthma are limited by bulk profiling of cells. Our objective was to Characterize a model of peripheral blood mononuclear cells (PBMCs) of patients with severe asthma (SA) and its response to the TLR3 agonist Poly I:C using two single-cell methods. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
16 Samples
Download data: CSV
Series
Accession:
GSE172495
ID:
200172495
16.

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
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