Identification of glutamyl-prolyl-tRNA synthetase as a new therapeutic target in hepatocellular carcinoma via a novel bioinformatic approach.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) has a high incidence, and current treatments are ineffective. We aimed to explore potential diagnostic and prognostic biomarkers for HCC by conducting bioinformatics analysis on genomic and proteomic data.

Methods

Genome and proteome data were downloaded from The Cancer Genome Atlas (TCGA) and ProteomeXchange databases, respectively. Differentially expressed genes was determined using limma package. Functional enrichment analysis was conducted by Database for Annotation, Visualization, and Integrated Discovery (DAVID). Protein-protein analysis was established by STRING dataset. Using Cytoscope for network visualization and CytoHubba for hub gene identification. The gene mRNA and protein levels were validated using GEPIA and HPA, as w

SUBMITTER: Shu J 

PROVIDER: S-EPMC10186547 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature