Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA622459 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

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

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

| PRJNA622456 | ENA

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

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

| PRJNA622466 | ENA

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

Project description: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.

2021-07-31 | GSE147880 | GEO

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

2021-07-31 | GSE147878 | GEO

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

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-07-31 | GSE147881 | GEO

Large-scale HDMSE mapping of the normal sputum proteome

Project description:Severe asthma is a collection of disease entities with varying pathophysiological characteristics 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. The goal of this investigation was to identify proteomic fingerprints in induced sputum that characterize patients with severe asthma and to determine whether subgroups of severe asthmatics can be identified. Furthermore, we were interested in elucidating the biological pathways that showed differences between subgroups. This dataset is a description of the normal sputum proteome.

2018-05-14 | PXD005949 | Pride

Pseudomonas aeruginosa gene expression in artificial sputum medium using a broad capture array designated the PANarray

Project description:The PANarray design (GPL13324) contains the genes of eight P. aeruginosa genomes in non-redundant format, thus allowing identification of expression of non-PAO1 and other P. aeruginosa genes. For the series GSE28152, isogenic isolates were sequentially collected from two cystic fibrosis (CF) patients several years apart. The isolates had not been eradicated in the meantime and represent persister strains. One was an Australian Epidemic Strain-1 isolate and the other a non-epidemic strain. Strains were cultured in an artificial sputum medium (ASMDM) closely resembling CF sputum.

2011-07-15 | E-GEOD-28152 | biostudies-arrayexpress

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

Project description: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.

2016-12-31 | GSE76262 | GEO

sputum

Project description:sputum Metagenome

| PRJNA521317 | ENA

Newcastle MSI Plus Assay

Project description:Newcastle MSI Plus Assay

| PRJEB67820 | ENA