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We identified several miRNA expression patterns, and verified the expression of selected miRNAs of each pattern with qRT-PCR.
Several miRNA expression profiles have been generated to determine changes during aging in mammalian cells and tissues.
Additionally, alterations in several miRNA expression patterns have been reported in the follicular fluid of PCOS-affected women.
The meta-analysis approach was suitable and effective solution for identification of statistically significant miRNA meta-signature by combining several miRNA expression studies 34.
Utilising information from several miRNA expression profiles simultaneously (multivariate analysis) is a powerful strategy to improve the confidence of such models.
MiR-221 is also a strongly downregulated miRNA in PCa, as clearly confirmed by several miRNA expression studies of PCa [ 28, 39, 40, 55].
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As shown in several studies, miRNA expression signatures allow differentiation between human cancers [ 15, 16].
The increase in miR-31 was reported previously [ 22], but was not found in several other miRNA expression studies in CRC [ 23, 26, 27, 35, 36].
Due to the complexity of miRNA regulatory networks, where one miRNA may target multiple genes, and where a single gene might be targeted by several miRNAs, miRNA expression levels (the miRNome) of a cell line may lead to a significant bias in functional studies results.
Analysis of miRNA pairwise correlations revealed the existence of several miRNA co-expression modules that were specific to the training group.
We have further demonstrated, by modulating the expression of several miRNA, that the expression of their predicted target genes is affected.
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