Hepatitis C infections are the main causes of fatal clinical conditions such as cirrhosis and HCC development, and biomarkers are needed to predict the development of these complications. Therefore, it is important to first determine which genes are deregulated in HCV-cells compared to healthy individuals. In our study, we aimed to identify the genes that are commonly upregulated or downregulated in HCV-infected cells using two different databases. In this study, differentially expressed genes (DEGs) that were commonly upregulated or downregulated were identified using publicly available databases GSE66842 and GSE84587. Afterwards, the interactions of DEG products with each other and other proteins were examined using the STRING database. Enrichment analyses of DEGs were performed using the Enrichr-KG web tool including the Gene Ontology Biological Process, KEGG, Jensen_DISEASES and DisGeNET libraries. miRNAs targeting DEGs were detected using miRDB and TargetScanHuman8.0. In HCV-infected cells, the expression is increased in both databases, while the and () expression is decreased. No direct interaction was found among CXCL10, SCGN, H2BC5 in the top ten proteins. CXCL10 is a member of Hepatitis C and viral protein interactions with cytokine and cytokine receptor KEGG pathways. H2BC5 is a member of viral carcinogenesis KEGG pathways. Predicted overlapping miRNAs targeted by common DEGs were as follows: 59 were where was the estimated target, 22 where was the estimated target and where () was the estimated target. Our study identified genes that were upregulated or downregulated in HCV-infected cells in both databases and miRNAs associated with these genes, using two different databases. This study creates groundwork for future studies to investigate whether these genes can predict HCV prognosis and HCV-associated HCC development.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11675613PMC
http://dx.doi.org/10.3390/genes15121502DOI Listing

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