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| Status |
Public on Apr 07, 2014 |
| Title |
Non-invasive Analysis of the Airway Transcriptome Discriminates Clinical Phenotypes of Asthma |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes identified TEA clusters. Clinical characteristics were compared.
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| Overall design |
Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation.
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| Contributor(s) |
Yan X, Gomez-Villalobos J, Koenigs M, Holm C, Koenigs M, He X, Zhao H, Mane S, Cohn L, Chupp GL |
| Citation(s) |
27027945, 28878123, 25763605 |
| Submission date |
Apr 01, 2014 |
| Last update date |
Jan 08, 2020 |
| Contact name |
Geoffrey L. Chupp |
| E-mail(s) |
geoffrey.chupp@yale.edu
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| Organization name |
Section of Pulmonary, Critical Care and Sleep Medicine
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| Department |
Department of Internal Medicine
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| Street address |
300 Cedar St, S441
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| City |
New Haven |
| ZIP/Postal code |
06520 |
| Country |
USA |
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| Platforms (1) |
| GPL6244 |
[HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version] |
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| Samples (112)
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| Relations |
| BioProject |
PRJNA243129 |
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