The list of deregulated miRNAs was then submitted to the DIANA-mirPath algorithm, using the TargetScan 5 search algorithm, to find specific pathways that may be altered by miRNA modulations [ 31].
We first obtained miRNA lists containing broadly conserved miRNA families, conserved miRNA families and poorly conserved miRNA families, and then retrieved web pages of conserved targets for each miRNA family using the TargetScan on-line search tool.
The miRanda website was used to search a total of 12413 predicted target genes of the six miRNAs, and a total of 2591 target genes were searched using the TargetScan website.
Specifically, the relative roles of CCR7 and miRNA in breast cancer metastasis were examined, and thus, the CCR7 3'UTR binding miRNA was searched by using the TargetScan prediction program.
Since miR-101 and 5'-isomiR-101 5'-isomiR-101 5'-isomiR-101n, we evaluated thaveredicted conserved targets for each variant, using the TargetScan 5.2 release [ 37], by searching for the presence of 8mer andifferentteseedat match miregionand 5'-isomiR-101 seed regions.
After that, we performed bioinformatical analyses to search for miR-133a targeting genes using the TargetScan [ 32] database and found that FSCN1 is one of them.
For example, searching for the potential targets of the 52 differentially expressed miRNAs using the TargetScan algorithm led to the identification of 11,031 putative conserved targets.
Using the TargetScan program, a custom set of Perl codes were downloaded from the TargetScan database (Release 5.1, http://www.targetscan.org/).org/
We next performed target prediction analysis using the TargetScan software package [ 51].
First, we screened miR-218-targeted genes using the TargetScan database and identified 2940 genes.
