U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 11

1.

Altered gene expression in blood and sputum from COPD patients with frequent exacerbations

(Submitter supplied) Investigation of gene expression profiles among patients with COPD frequent exacerbations and to find gene targets as predictors of exacerbations
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
226 Samples
Download data: CEL
Series
Accession:
GSE54837
ID:
200054837
2.

Induced Sputum Genes Associated With Spirometroc and Radiological Disease Severity in COPD Ex-smokers

(Submitter supplied) Induced sputum is used to sample inflammatory cells, predominantly neutrophils and macrophages, from the airways of COPD patients. Our aim was to identify candidate genes associated with the degree of airflow obstruction and the extent of emphysema by expression profiling, and then to confirm these findings for selected candidates using specific PCR and protein analysis.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4265
Platform:
GPL570
143 Samples
Download data: CEL
Series
Accession:
GSE22148
ID:
200022148
3.
Full record GDS4265

Chronic obstructive pulmonary disease in ex-smokers: sputum

Analysis of sputum from ex-smokers with moderate (stage 2) or severe (stages 3, 4) chronic obstructive pulmonary disease (COPD). Induced sputum contains inflammatory cells, predominantly neutrophils and macrophages. Results provide insight into molecular mechanisms underlying COPD progression.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 3 disease state sets
Platform:
GPL570
Series:
GSE22148
143 Samples
Download data: CEL
DataSet
Accession:
GDS4265
ID:
4265
4.

Whole-genome gene expression profiles of non-tumorous human lung tissues

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
1349 Samples
Download data: CEL
Series
Accession:
GSE23546
ID:
200023546
5.

Whole-genome gene expression profiles of non-tumorous human lung tissues: GRNG set

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
445 Samples
Download data: CEL
Series
Accession:
GSE23545
ID:
200023545
6.

Whole-genome gene expression profiles of non-tumorous human lung tissues: UBC set

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
405 Samples
Download data: CEL
Series
Accession:
GSE23529
ID:
200023529
7.

Whole-genome gene expression profiles of non-tumorous human lung tissues: Laval set

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
499 Samples
Download data: CEL
Series
Accession:
GSE23352
ID:
200023352
8.

Severity of lung function impairment drives transcriptional phenotypes of COPD and relates to immune and metabolic processes

(Submitter supplied) Gene expression profiles were generated from induced sputum samples in COPD and healthy controls. The study identified transcriptional phenotypes of COPD.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
87 Samples
Download data: TXT
Series
Accession:
GSE212331
ID:
200212331
9.

Analysis of sputum gene expression data in Asthma and COPD

(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
Series
Accession:
GSE148004
ID:
200148004
10.

Analysis of sputum methylation data in Asthma and COPD

(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
Series
Accession:
GSE148000
ID:
200148000
11.

Transcriptome networks identify susceptibility to frequent asthma exacerbations

(Submitter supplied) To investigate mechanisms underlying frequent asthma exacerbation, we profiled the nasal transcriptome of both frequent and non-frequent asthma exacerbators.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL15433
139 Samples
Download data: CSV
Series
Accession:
GSE211158
ID:
200211158
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=1|qty=2|blobid=MCID_662a16c3f436486715584fc5|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center