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It is thought that the presence of multiple miRNA interaction sites allows for exquisite control of target mRNA expression [ 47].
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Establishment of multiple miRNA interactions with mRNAs is a complex problem, but it is necessary for definite regulation of gene expression through miRNAs.
Furthermore, we have also established that there is an interrelationship between multiple miRNA and mRNA interactions and vice versa within the infected individuals.
Statistical hypergeometric tests adjusted for multiple comparison using the Benjamini Hochberg correction were implemented in the r environment for comparison of observed proportions of GbA miRNA interaction events on each predicted target mRNA vs. expected proportions in the miRNA mRNA interaction universe.
Conversely, each mRNA may harbor multiple miRNA targeting sites (Ala et al., 2013).
Additionally, miRNAs are frequently clustered such that a single pri-miRNA contains multiple miRNA sequences.
Another important characteristic of miRNAs is that one single miRNA has the potential to regulate many target genes while any one gene can be targeted by multiple miRNAs, meaning that miRNAome-mRNAome interaction can be a complicated network.
Normal B-cell differentiation and neoplastic B-cell phenotypes seem to be partially determined by the reciprocal antagonism between BCL6 and PRDM1/BLIMP1 expression, which seems to be at least partially orchestrated through the interaction of multiple miRNAs.
The network interactions of proteins targeted by multiple miRNAs also provide a systems vision of quantitative regulatory mechanism of miRNAs in stem cells.
But miRNA regulation may involve interactive activity between multiple miRNAs.
Fortunately, identification of multiple miRNAs, along with a comprehensive description of the miRNA/mRNA interaction network, may add to our knowledge of gene regulation throughout HSC activation.
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