Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic analysis of induced sputum samples in severe asthma

ABSTRACT: Gene expression profiles were generated from induced sputum samples in asthma and healthy controls. The study identified differential gene expression and pathways in severe asthma.

ORGANISM(S): Homo sapiens

PROVIDER: GSE137268 | GEO | 2019/09/12

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic analysis of induced sputum samples in severe asthma

Project description:Transcriptomic analysis of induced sputum samples in severe asthma

| PRJNA564983 | ENA

Analysis of sputum methylation data in Asthma and COPD

Project description: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.

2020-10-25 | GSE148000 | GEO

RNA sequencing of sputum cells from a phase IIa placebo controlled clinical trial of Risankizumb in severe asthma

Project description:Interleukin (IL)-23 is implicated in T2 and T17-mediated airway inflammation, supporting a role in asthma. We undertook a Phase II, randomized, double-blind, placebo-controlled, 24-week, parallel-group, multicenter trial to assess the efficacy and safety of risankizumab, an IL23p19 monoclonal antibody, administered subcutaneously (90 mg 4 weekly) in adults with severe asthma. Sputum samples were collected at several timepoints: visit 1B (week -3), visit 2 (week 0 proir to treatment), visit 7 (week 20), visit 8 (week 24, end of treatment), visit 12 (week 40, end of observation). RNA sequencing of sputum cells.

2024-02-10 | GSE167074 | GEO

Analysis of sputum gene expression data in Asthma and COPD

Project description: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.

2020-10-25 | GSE148004 | GEO

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

Genetic characterization of macrophages from induced sputum of asthma and COPD patients

Project description:Background: Macrophages are important cells in pathogenesis of obstructive lung diseases including asthma and chronic obstructive pulmonary disease (COPD). The aim of the study was a multivariate, genetic, comparative analysis of macrophages from patients with asthma and COPD. Methods: Macrophages were isolated from induced sputum (IS) by magnetic bead separation. Transcriptomic measurements were carried out using Affymetrix Human Gene 2.1 ST ArrayStrip in 17 samples: 8 asthma (4 ICS naive , 4 ICS treated), 4 COPD and 5 control samples. The expression of the most significantly differentiating genes was evaluated by real time PCR in 34 samples (15 patients with asthma, 11 patients with COPD and 17 controls). Results: USP53 was the only gene differentially expressed (p adjusted clue =0.09) in the comparison between ICS naïve and ICS treated asthma. The PCR verification showed increased expression of BTF3, CDS2, DNAJC13, DDX5, GNAI2, SCGB1A1, SIRPB1, TRAF3IP, USP53, WDR49 in the asthma compared to COPD group. The changed gene expression profile of macrophages were characterized mostly by gene ontology terms linked with cell motility, cilium function, cell junction and adhesion organization. Conclusions: Gene expression profiling of sputum macrophages revealed distinct molecular capacity in asthma and COPD. The role of sputum macrophages in the pathophysiology of obstructive lung diseases is probably connected with biological processes associated with their motility, cilium dysfunction and cell junction organization.

2018-08-09 | GSE112260 | GEO

Transcriptomic profiling of inflammatory phenotypes of severe asthma using endobronchial biopsies

Project description:Severe asthma is a complex disease with different inflammatory phenotypes. Transcriptomic profiling has contributed to understanding the pathogenesis of asthma, especially type-2 inflammation; however, there is still poor understanding of non-eosinophilic asthma, and consequently there are limited treatment options. The aim of this study was to determine transcriptomic profiles in endobronchial biopsies of adults with severe asthma and different inflammatory phenotypes (neutrophilic, eosinophilic and paucigranulocytic) compared with healthy controls.

2021-07-31 | GSE143303 | GEO

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

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

| PRJNA622459 | ENA

A sputum gene expression signature of six biomarkers identifies asthma inflammatory phenotype and steroid responsiveness

Project description: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. Gene expression profiles were generated from induced sputum samples from 47 asthma patients and were grouped by the inflammatory phenotype assigned using sputum cell counts into neutrophilic asthma (n=12), eosinophilic asthma (n=17) and paucigranulocytic asthma (n=18). RNA was extracted, amplified and hybridised to Illumina Sentrix HumanRef-8 Version 2 Expression BeadChips, and genes that were differentially expressed between asthma inflammatory phenotypes were compared.

2014-03-25 | E-GEOD-45111 | 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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data