Transcriptomics,Multiomics

Dataset Information

4

Serial Analysis of Gene Expression molecular signature for disease progression in Idiopathic Pulmonary Fibrosis


ABSTRACT: Idiopathic pulmonary fibrosis (IPF) is a chronic and progressive fibrosing interstitial lung disease that is unresponsive to current therapy. While it carries a median survival of less than 3 years its rate of progression varies widely between patients. We hypothesized that studying the gene expression profiles of physiologically stable patients and those in which the disease progressed rapidly after the initial diagnosis would aid in the search for biomarkers and contribute to the understanding of disease pathogenesis. We generated 12 Idiopathic Pulmonary Fibrosis (IPF) lung parenchyma SAGE profiles. Initial cluster analysis including 8 other public available lung SAGE libraries verified that the IPF transcriptome is distinct from normal lung tissue and other lung diseases like COPD. In order to identify candidate markers of disease progression we segregated the IPF SAGE profiles in two groups based on clinical parameters regarding lung volume and lung function.

OTHER RELATED OMICS DATASETS IN: phs000582.v1.p1

ORGANISM(S): Homo sapiens  

SUBMITTER: Kathy Boon  Kevin K Brown   Kervitsky Dolly   Nathaniel W Bailey   Jun Yang   Schwartz A David    

PROVIDER: E-GEOD-11665 | ArrayExpress | 2012-03-27

SECONDARY ACCESSION(S): GSE11665PRJNA106179

REPOSITORIES: GEO, ArrayExpress

altmetric image

Publications

Molecular phenotypes distinguish patients with relatively stable from progressive idiopathic pulmonary fibrosis (IPF).

Boon Kathy K   Bailey Nathaniel W NW   Yang Jun J   Steel Mark P MP   Groshong Steve S   Kervitsky Dolly D   Brown Kevin K KK   Schwarz Marvin I MI   Schwartz David A DA  

PloS one 20090406 4


BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, chronic interstitial lung disease that is unresponsive to current therapy and often leads to death. However, the rate of disease progression differs among patients. We hypothesized that comparing the gene expression profiles between patients with stable disease and those in which the disease progressed rapidly will lead to biomarker discovery and contribute to the understanding of disease pathogenesis. METHODOLOGY AND PRINCIPAL FI  ...[more]

Similar Datasets

2009-04-07 | GSE11665 | GEO
2011-06-10 | E-GEOD-6804 | ArrayExpress
2008-01-17 | GSE6804 | GEO
2016-02-20 | E-GEOD-69764 | ArrayExpress
2014-06-03 | E-GEOD-48149 | ArrayExpress
2014-10-19 | E-GEOD-53845 | ArrayExpress
| GSE69764 | GEO
2009-02-20 | GSE10667 | GEO
2014-06-03 | E-GEOD-45686 | ArrayExpress
2014-06-02 | E-GEOD-21394 | ArrayExpress