GEO DataSets

(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

(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

(Submitter supplied) Consumption of a high fat meal can increase neutrophilic airway inflammation in asthma. This study investigates the molecular mechanisms driving airway neutrophilia following a high fat meal in asthma.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6883

16 Samples

Download data: TXT

(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

(Submitter supplied) Background: MicroRNAs are potent regulators of biologic systems that are critical to tissue homeostasis. Individual microRNAs have been identified in airway samples. However, a systems analysis of the microRNA-mRNA networks present in the sputum that contribute to airway inflammation in asthma has not been published. Methods: We conducted a genome-wide analysis of microRNA and messenger RNA (mRNA) in the sputum from patients with asthma and correlated expression with clinical phenotypes. more...

Organism:

Homo sapiens

Type:

Other

Platform:

GPL26945

89 Samples

Download data: RCC

(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

(Submitter supplied) In addition to analyzing whole-genome methylation, we concomitantly evaluated sputum cell gene expression in the context of chronic inflammatory lung disease. Nucleic acids were purified from sputum samples of subjects with Asthma, COPD as well as healthy controls. Gene expression was analyzed on the Agilent Human GE 4x44k v2 platform.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13497

25 Samples

Download data: TXT

(Submitter supplied) We evaluated the applicability and usability of whole-genome methylomics of sputum samples in molecular profiling of chronic inflammatory lung diseases. Genomic DNA was purified from sputum samples of subjects with Asthma, COPD as well as healthy controls and analyzed on the Illumina Infinium HumanMethylation 450k platform.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

26 Samples

Download data: IDAT, TXT

(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

(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

(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

(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

(Submitter supplied) We determined whether we could identify clusters of children with critical asthma by functional immunophenotyping using an intracellular viral analog stimulus. We performed a single-center, prospective, observational cohort study of 43 children ages 6 – 17 years admitted to a pediatric intensive care unit for an asthma attack between July 2019 to February 2021.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL21847

144 Samples

Download data: RCC