Table 5.
miRPath analysis of Hsa-mir-31-5p interactions
| (A) KEGG-predicted pathway derived from DIANA-microT-CDS database | p value | genes |
| Metabolism of xenobiotics by cytochrome P450 | 1.46E-07 | 3 |
| Inositol phosphate metabolism | 0.00442 | 4 |
| Fatty acid metabolism | 0.02773 | 2 |
| (B) KEGG-predicted targets provided by the DIANA-TarBase v6.0 database | p value | genes |
| Regulation of actin cytoskeleton | 6.24E-06 | 5 |
| Bacterial invasion of epithelial cells | 1.79E-05 | 3 |
| Axon guidance | 8.85E-05 | 3 |
| Shigellosis | 0.00062 | 2 |
| Pathogenic Escherichia coli infection | 0.00276 | 2 |
| Chemokine signaling pathway | 0.00653 | 3 |
| Pertussis | 0.00746 | 2 |
| Hypertrophic cardiomyopathy (HCM) | 0.00979 | 2 |
| Dilated cardiomyopathy | 0.01157 | 2 |
| T cell receptor signaling pathway | 0.01604 | 2 |
| Leukocyte transendothelial migration | 0.01604 | 2 |
| Arrhythmogenic right ventricular cardiomyopathy (ARVC) | 0.01604 | 2 |
| Dorso-ventral axis formation | 0.03214 | 1 |
miRPath analysis of miR-31-5p (A) of predicted targets provided by the DIANA-microT-CDS algorithm or (B) of experimentally validated miRNA interactions derived from the DIANA-TarBase v6.0. Target pathways were classified according to KEGG functional annotations