Using RNA sequencing to identify key microRNAs and hub genes in the progression of hepatocellular carcinoma. Using RNA sequencing to identify key microRNAs and hub genes in the progression of hepatocellular carcinoma

This project completed the transcriptome analysis of 6 samples and obtained 12142010 reads Clean Data (after quality control sequencing data). The average clean data volume of each sample was 1833443535 bp , the Q30 base percentage was over 80%, and the GC content was 68.15. % To 46.53%. In this study, we used RNA sequencing and integrated bioinformatics approach to explore hub miRNA-mRNA interactions that are highly associated with hepatocellular carcinoma development. Our data indicated that miR-139-5p is closely related to the overall survival rate of hepatocellular carcinoma patients and directly combines with ITGB8 to regulate its expression. Overall design: miRNA profiles of 3 hepatocellular carcinoma samples and 3 adjacent tissue samples