Exploring of the molecular mechanism of rhinitis via bioinformatics methods.

ABSTRACT: The aim of this study was to analyze gene expression profiles for exploring the function and regulatory network of differentially expressed genes (DEGs) in pathogenesis of rhinitis by a bioinformatics method. The gene expression profile of GSE43523 was downloaded from the Gene Expression Omnibus database. The dataset contained 7 seasonal allergic rhinitis samples and 5 non‑allergic normal samples. DEGs between rhinitis samples and normal samples were identified via the limma package of R. The webGestal database was used to identify enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the DEGs. The differentially co‑expressed pairs of the DEGs were identified via the DCGL package in R, and the differential co‑expression network was constructed based on these pairs. A protein‑

SUBMITTER: Song Y 

PROVIDER: S-EPMC5783521 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature