Integrated analysis of differentially expressed genes, differentially methylated genes, and natural compounds in hepatitis C virus-induced cirrhosis.

ABSTRACT:

Objective

To identify key genes in hepatitis C virus (HCV)-induced cirrhosis and to predict effective drugs for its treatment.

Methods

Three datasets were used to screen for differentially expressed genes (DEGs) and differentially methylated genes (DMGs) in HCV-induced cirrhosis. DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses using the clusterProfiler R package. Their respective protein-protein interaction (PPI) networks were constructed using Cytoscape. Cross analysis of DEGs and DMGs was performed to identify the genetic landscape of HCV-induced cirrhosis, and five genes were validated by receiver operating characteristic curve analysis. Molecular autodocking between ISG15 and natural products was perform

SUBMITTER: Cheng J 

PROVIDER: S-EPMC8801647 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature