Identification of key genes, pathways and potential therapeutic agents for liver fibrosis using an integrated bioinformatics analysis.

ABSTRACT:

Background

Liver fibrosis is often a consequence of chronic liver injury, and has the potential to progress to cirrhosis and liver cancer. Despite being an important human disease, there are currently no approved anti-fibrotic drugs. In this study, we aim to identify the key genes and pathways governing the pathophysiological processes of liver fibrosis, and to screen therapeutic anti-fibrotic agents.

Methods

Expression profiles were downloaded from the Gene Expression Omnibus (GEO), and differentially expressed genes (DEGs) were identified by R packages (Affy and limma). Gene functional enrichments of each dataset were performed on the DAVID database. Protein-protein interaction (PPI) network was constructed by STRING database and visualized in Cytoscape software. The hub g

SUBMITTER: Zhan Z 

PROVIDER: S-EPMC6432904 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature