Table 4.
Summary of miRNA and mRNA correlations and KEGG gene class
| MiRNA | Correlations | Gene class | |||
|---|---|---|---|---|---|
| p < 0.05 | q < 0.2 | r < −0.95 | Correlations (all, negative) | Genes | |
| miR-15b | 34 | 0 | 22 | Purine metabolism (2,0) | polr2h, rpo1–4 |
| Pyrimidine metabolism (2,0) | polr2h, rpo1–4 | ||||
| Neuroactive ligand-receptor interaction (2,1) | glp1r (neg), pmch | ||||
| RNA polymerase (2,0) | polr2h, rpo1-4 | ||||
| miR-34a | 10 | 0 | 6 | None | None |
| miR-195 | 39 | 1 | 22 | MAPK signaling pathway (2,0) | fgf23, prkaca |
| Insulin signaling pathway (2,1) | lipe (neg), prkaca | ||||
| Regulation of actin cytoskeleton (2,0) | fgf23, wasf1 | ||||
| Calcium signaling pathway (2,1) | htr6 (neg), prkaca | ||||
| miR-34c | 31 | 0 | 16 | GnRH signaling pathway (2,1) | itpr3, pla2g10 (neg) |
| Long-term depression (2,1) | itpr3, pla2g10 (neg) | ||||
| Neuroactive ligand-receptor interaction (2,2) | grik4 (neg), p2ry2 (neg) | ||||
| miR-301a | 26 | 0 | 10 | None | None |
| miR-378 | 10 | 0 | 6 | None | None |
| miR-31 | 21 | 0 | 12 | Glutathione metabolism (2,2) | gclc (neg), idh1 (neg) |
| Regulation of actin cytoskeleton (2,0) | diap3, itgb6 | ||||
| miR-203 | 59 | 0 | 31 | Cell adhesion molecules (4,3) | cd276 (neg), cldn (neg), cldn5 (neg), glg1 |
| Glycan structures - biosynthesis (2,0) | alg12, fut8 | ||||
| Leukocyte transendothelial migration (2,2) | cldn3 (neg), cldn5 (neg) | ||||
| Tight junction (2,2) | cldn3 (neg), cldn5 (neg) | ||||
| N-glycan biosynthesis (2,0) | alg12, fut8 | ||||
| miR-451 | 24 | 0 | 12 | None | None |
| miR-212 | 24 | 1 | 8 | None | None |
| miR-323 | 14 | 0 | 8 | None | None |
Summary of the correlations between miRNA and mRNA (from Nadler et al. 2006) and KEGG pathway analysis. The gene classes are shown for those classes with at least two nominally significant correlations. Those genes which had a negative correlation are denoted by (neg)