Some high ranked targets like CYP3A4 also are affected by Troglitazone, nevertheless, the activity of CYP2D6 shared by 24 heart disease related drugs is affected only by Rosiglitazone, it was not found in the Troglitazone related targets.
bThe putative target genes of miRNA genes which differentially expressed significant at 0.05 level between the mutant and wild type High ranked target genes of the differentially expressed miRNAs were those implicated in three biological processes including regulation of transcription, protein modification and photosynthesis.
The 5 highest ranking target miRNAs of these 5 validated circRNAs were predicted according to the miRNA support vector regression method.
We observed high agreement between both strategies for the highest ranked targets using Rankprod, which were further cross-validated using RT-qPCR.
The Benjamini-Hochberg adjusted Gene Ontology profile of the highest ranked targets was metabolic (P < 7.4 × 10-8), post-translational modification (P < 9.7 × 10-5) andevelopmentalal (P < 1.3 × 10-6) processes.
When the findings were evaluated using the most recent TargetScanS predictive method (i.e. a more stringent threshold [ 40] that includes only the highest ranked targets with a context score percentile of 85%), no consistent deviations were observed in the combined t-statistics.
Supporting data in the literature and consistent with findings in our study, ERK5 (or MAPK7) was among the highest ranked target genes based on TargetScan analysis, with an aggregate PCT score of 0.78, which is the 7th highest PCT score.
GO and KEGG annotation revealed that high ranked miRNA-target genes are those implicated in transcription regulation, protein modification and photosynthesis.
The high-ranking targets, and the fact that they were in the same place at the same time adds to the suggestion that the kidnapping was planned.
Other high-ranking targets include the orthologs of C. elegans bli-5 and mlt-11, which encode predicted serine-peptidase inhibitors containing multiple Kunitz/Bovine trypsin inhibitor domains.
However, genome-wide target identification is very useful for identifying regulated pathways or processes, or for prioritizing targets for further analysis (e.g. integrating with other evidence such as ChIP or in situ expression data) or further experiments (e.g. ChIP or perturbation experiments on high-ranking targets).
