Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Identification of novel lung genes in bronchial epithelium by serial analysis of gene expression


ABSTRACT: A description of the transcriptome of human bronchial epithelium should provide a basis for studying lung diseases including cancer. We demonstrate here that minute epithelial specimens obtained by bronchial brushings afford reliable profiling by serial analysis of gene expression (SAGE) leading to lung gene discovery. We have deduced global gene expression profiles of bronchial epithelium and lung parenchyma, based upon a vast data set of nearly two million sequence tags from 21 SAGE libraries generated from individuals with a history of smoking. Cluster and linear regression analysis demonstrate the repeatability and reproducibility of bronchial SAGE libraries, and suggest that the transcriptome of the bronchial epithelium is distinct from that of lung parenchyma and other tissue types.

ORGANISM(S): Homo sapiens

SUBMITTER: Kim Lonergan 

PROVIDER: E-GEOD-3754 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress