Transcriptome and microRNAs Profiling Analysis of Huh7.5.1 Cells in Response to Hepatitis C Virus Infection

Abstract

Background: There is a great need for further study on the mechanism of HCV infection or its pathopoiesis mechanism. Therefore, an HCV infection model was used to analyze the mechanisms of transcriptional and post-transcriptional regulation of gene expression. Methods: The detections of transcriptome and microRNAs expressions in Huh7.5.1 cells infected with JFH-1 were conducted with next-generation sequencing. Moreover, bioinformatics data were obtained. Results: There were 21,827,299, and 42,588,251 reads qualified Illumina read pairs obtained from JFH-1-infected (HCV) and non-infected (blank) Huh7.5.1 cells, respectively. Moreover, 678 and 1,041 mRNAs data with a length of 101 bp from HCV and blank Huh7.5.1 cells cDNA sequence were generated, respectively. The results of comparative transcriptome sequencing analysis declared 460 differentially expressed mRNAs in HCV-infected cells, including 152 upregulated mRNAs and 308 downregulated mRNAs (HCV vs. blank). Gene Ontology (GO) and KEGG pathway enrichment analyses indicated the involved pathways, such as MAPK, p53, and PI3K/Akt signaling pathways, as well as oocyte meiosis and pathways in cancer. Conclusions: Our work confirmed the transcriptome and microRNA data profiling from the cell model of HCV infection with JFH-1 using next-generation sequencing (NGS). Furthermore, the gene expression and regulation information or signaling pathways associated with the pathopoiesis mechanism of HCV infection were identified.