Ontology highlight
ABSTRACT: Background
Autophagy is a highly conserved cellular process. In the context of hepatic ischemia/reperfusion injury (HIRI), dysregulation of autophagy may lead to hepatocyte dysfunction. Therefore, we conducted a comprehensive transcriptomics analysis to investigate the biomolecular mechanisms underlying autophagy in HIRI.Methods
Bioinformatics were used to analyze the GSE112713 data set, with the objective of identifying the differential expression of autophagy-related genes (DEARGs). The expression and diagnostic potential of DEARGs were validated using in vitro models and receiver operating characteristic curves. Additionally, potential therapeutic drugs targeting DEARGs were predicted.Results
Transcriptome bioinformatics analysis revealed widespread dysregulation
SUBMITTER: Xiao Q
PROVIDER: S-EPMC12208648 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature