GEO DataSets

(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) 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) The pro-inflammatory cytokine IL-6 is elevated in both blood and airways in asthma. IL-6 signaling is regulated by its receptor composed of two proteins, IL-6R and GP130, that are found in both membrane and soluble forms. The interaction of IL-6 with soluble IL-6R (sIL-6R) can trigger IL-6 trans-signaling in cells such as epithelial cells and fibroblasts, which express GP130, but do not produce sufficient IL-6R. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

24 Samples

Download data: XLSX

(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) 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

(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) 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

(Submitter supplied) Indirect airway hyperresponsiveness (AHR) is a highly specific feature of asthma but the underlying mechanisms responsible for driving indirect AHR remain incompletely understood. We aimed to identify differences in gene expression in epithelial brushings obtained from individuals with asthma who were characterized for indirect AHR in the form of exercise-induced bronchoconstriction (EIB). RNA-sequencing (RNA-seq) analysis was performed on epithelial brushings obtained from individuals with asthma with (n=11) and without EIB (n = 9).

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

20 Samples

Download data: XLSX

(Submitter supplied) Asthma is a complex, chronic respiratory disease with marked clinical and pathophysiological heterogeneity. Distinct inflammatory phenotypes of eosinophilic, mixed, neutrophilic and paucigranulocytic asthma are identified in patients, but most in vivo mouse models, studying asthma mechanisms, mimic only eosinophilic phenotype in humans. The detailed unbiased in vivo studies on molecular responses among different kinds of inflammation in asthma models are lacking. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

12 Samples

Download data

(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) Monkey disease models, which are comparable to humans in terms of genetic, anatomical, and physiological characteristics, are important for understanding disease mechanisms and evaluating the efficiency of biological treatments. Here, we established an A.suum-induced model of asthma in cynomolgus monkeys to profile airway inflammation and remodeling in the lungs by single-cell transcriptomic sequencing (scRNA-seq). more...

Organism:

Macaca fascicularis

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28212

6 Samples

Download data: MTX, TSV

(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) Childhood asthma is a complex disease historically defined by partially overlapping clinical features, including recurrent respiratory symptoms and reversible airway obstruction. However, the heterogeneity observed in clinical disease and airway pathology suggests that the “traditionally” defined asthma population is composed of multiple subgroups (i.e., endotypes), each with a distinct pathogenesis. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

695 Samples

Download data: TXT

(Submitter supplied) BACKGROUND: The type 2 cytokine-high asthma endotype (T2H) is characterized by IL-13-driven mucus obstruction of the airways. To investigate this poorly understood pathobiology, we characterized IL-13 effects on human airway epithelial cultures using single cell RNA-sequencing, finding that IL-13 generated a novel transcriptional state for each cell type. Specifically, we discovered a mucus secretory program induced by IL-13 in all cell types which converted both mucus and defense secretory cells into a metaplastic state with emergent mucin production and secretion, while leading to ER stress and cell death in ciliated cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

3 Samples

Download data: RDA, TXT

(Submitter supplied) Management of severe asthma remains a challenge despite treatment with glucocorticosteroid therapy. The majority of studies investigating disease mechanisms in treatment-resistant severe asthma have previously focused on the large central airways, with very few utilizing transcriptomic approaches. The small peripheral airways, which comprise the majority of the airway surface area, remain an unexplored area in severe asthma and were targeted for global epithelial gene expression profiling in this study. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

70 Samples

Download data: CEL

(Submitter supplied) Via extensive comparative analysis of 3D human bronchial epithelial model (MucilAirTM) exposed to air or CuO-based aerosols, we show that existence of asthma enhances sensitivity of the airways to nanoparticles, possibly as a combined result of a hyperactive airway and inefficient mucociliary clearance mechanisms in asthmatics.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21185

64 Samples

Download data: TXT

(Submitter supplied) Asthma is a heterogeneous disease. Exercise-induced bronchoconstriction (EIB) is a distinct syndrome that occurs in 30-50% of asthmatics and is characterized by high levels of pro-inflammatory eicosanoids. We identified genes differentially expressed in the airways of asthmatics with EIB relative to asthmatics without EIB. Genes related to epithelial repair and mast cell infiltration including beta-tryptase and carboxypeptidase A3 were upregulated by exercise challenge in the asthma group with EIB. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL570 GPL96

22 Samples

Download data: CEL

(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