Bioinformatic analysis of differentially expressed genes and pathways in idiopathic pulmonary fibrosis.

ABSTRACT:

Background

Using bioinformatic methods to explore the differentially expressed genes (DEGs) of human idiopathic pulmonary fibrosis (IPF) and to elucidate the pathogenesis of IPF from the genetic level.

Methods

The GSE110147 gene expression profile was downloaded from the GEO database. The data of lung adenocarcinoma (LUAD) samples, lung squamous cell carcinoma (LUSC) samples and normal samples were downloaded from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. DEGs between IPF patients and healthy donors were analyzed using the GEO2R tool. Use the "clusterprofiler" package in R software to perform gene ontology (GO) and KEGG pathway enrichment analysis, and then perform function annotation and protein-protein interaction (PPI) network constru

SUBMITTER: Li N 

PROVIDER: S-EPMC8506768 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature