Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships

摘要: Intensive research based on the inverse expression relationship has been undertaken to discover miRNA-mRNA regulatory modules involved in infection of Hepatitis C virus (HCV), leading cause chronic liver diseases. However, biological studies other fields have found that is not only between miRNAs and their targets, some can positively regulate a mRNA by binding at 5' UTR mRNA. This work focuses detection both positive relationships from paired miRNA data set HCV patients through 'change-to-change' method which derive connected discriminatory rules. Our study uncovered many novel modules. In particular, it was revealed GFRA2 regulated miR-557, miR-765 miR-17-3p probably bind different locations this The any these three studied before, although separate for gene all drawn conclusions linked hepatocellular carcinoma. suggests with miR-765, or miR-17-3p, combinations, worthy further investigation experimentation. We also report another QKI strong miR-129 miR-493-3p may 3' perfect sequence match. Furthermore, interaction hsa-miR-129-5p (previous ID: hsa-miR-129) supported CLIP-Seq starBase. be easily extended analysis rule discovery useful integrating information profile identifying applied profiles complex human