Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

COPD

ABSTRACT: Microbial and Host Immune Factors as Drivers of Chronic Obstructive Pulmonary Disease

PROVIDER: PRJEB20508 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR1942940.fastq.gz	Fastqsanger.gz
	ERR1942950.fastq.gz	Fastqsanger.gz
	ERR1942960.fastq.gz	Fastqsanger.gz
	ERR1942941.fastq.gz	Fastqsanger.gz
	ERR1942951.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 29

Similar Datasets

COPD 16S

Project description:Microbial and host immune factors as drivers of COPD

| PRJEB29062 | ENA

Chronic obstructive pulmonary disease (COPD)

Project description:Chronic obstructive pulmonary disease (COPD) Metagenome

| PRJNA647843 | ENA

Autoantibody profiles in patients with COPD and non-COPD smokers

Project description:Chronic obstructive pulmonary disease (COPD) is a highly prevalent disease leading to irreversible airflow limitation and is characterized by chronic pulmonary inflammation，obstructive bronchiolitis and emphysema. Etiologically, COPD is mediated by toxic gases and particles, e.g. cigarette smoke, while the pathogenesis of the disease is largely unknown. Several lines of evidence indicate a link between COPD and autoimmunity but comprehensive studies are lacking. By using a protein microarray assaying more than 19,000 human proteins we determined in this study the autoantibody profiles of COPD and non-COPD smokers.

2019-06-21 | GSE133096 | GEO

Chronic Obstructive Pulmonary Disease (COPD) patient microbiome

Project description:Chronic Obstructive Pulmonary Disease (COPD) patient microbiome

| PRJEB46960 | ENA

trancription profiling by array of human pulmonary and circulating CD8 cells in COPD

Project description:Background: CD8 cells seem to play an important role in the pathogenesis of chronic obstructive pulmonary disease (COPD). However, relatively little is known about their phenotype and function. Aims: To define the transcriptome of pulmonary CD8 cells in COPD and compare to paired circulating CD8 cells and smoker control pulmonary CD8 cells. COPD was defined according to the Global initiative for chronic Obstructive Lung Disease guidelines. Severity of disease was defined according to the patients lung function. In particular the forced evpiratroy volume in 1 second (FEV1).

2013-08-01 | E-MTAB-1688 | biostudies-arrayexpress

COPD study

Project description:The respiratory virome and exacerbations in patients with chronic obstructive pulmonary disease

| PRJEB34030 | ENA

MicroRNA expression pattern in lung cancer and COPD

Project description:The objective is to establish robust transcriptional regulation differences between lung cancer (LC) and chronic obstructive pulmonary disease (COPD) by studying miRNA and concurrent transcriptional profiles

2014-07-03 | GSE44531 | GEO

COPD OLIN

Project description:Targeted high-throughput sequencing identifies genetic variants associated with chronic obstructive pulmonary disease

| PRJEB13652 | ENA

Homo sapiens

Project description:Chronic obstructive pulmonary disease

| PRJNA85155 | ENA

P12365 - A/J COPD - Parenchyma

Project description:Chronic Obstructive Pulmonary Disease (COPD) is a respiratory disorder that is the result of extended exposure of the airways to noxious stimuli, principally cigarette smoke (CS). The mechanisms through which COPD evolves are not fully understood though it is believed that the disease process includes a genetic component since not all smokers develop COPD. To investigate the mechanism leading to the development of COPD/emphysema, we performed an experiment in which whole genome gene expression and several COPD-relevant biological endpoints (MMP-9, MMP activity, TIMP-1 and lung weight) were measured in lung tissue after exposure to two doses of CS for various periods of time. A novel and powerful method, known as reverse engineering and forward simulation (REFS(TM)), was employed to identify key molecular drivers by integrating gene expression data and 4 measured COPD-relevant endpoints. An ensemble of molecular networks was generated using REFS(TM). Simulations showed that this ensemble could successfully recover the measured experimental data for gene expression and measured COPD-relevant endpoints. This ensemble of networks was then further employed to simulate thousands of in silico gene knockdown experiments. Based on the in silico gene knockdown, thirty-three molecular key drivers for the above four COPD-relevant endpoints were identified, with the majority of them being enriched in inflammation, emphysema and COPD.

2014-05-14 | E-MTAB-1426 | biostudies-arrayexpress

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