Sentence examples for selection of miRNAs from inspiring English sources

The selection of miRNAs was based on a stringent statistical approach to identify miRNAs based on the highest changes in the level of expression, the simultaneous over-expression of target genes in a tissue- and time-restricted fashion, and the expression of miRNAs in the epithelial lining of EHBDs.

Next, we asked whether our results could be biased by the initial selection of miRNAs, namely the ones associated with the cancer hallmarks.

Genetic variations in the miRNA genes could potentially influence the processing or target selection of miRNAs [33].

According to our stringent criteria for the selection of miRNAs with altered expression, up- and down- regulations were balanced in UC (45.47% and 54.5%, respectively), whereas up-regulation was predominant (88.2%) in CD.

Our search strategy was motivated by the need to apply pure-homology based selection of miRNAs so that the results represent a closer approach to mimic the molecular mechanisms that underlie disease pathway behaviors and response in a human host.

Final analysis and selection of miRNAs were performed in Excel (Microsoft Office).

Nonetheless, miRNA gene evolution might provide potential implication for selection of miRNA and fate of miRNA*.

The negative selection of miRNA binding sites in coding regions was further supported by examining the mRNA expression profiles after miRNA misexpression.

Selection of miRNA hits may therefore reflect the role of miRNAs as natural micromanagers of biological pathways [ 3].

During the process, the selection of miRNA target predicting approaches and filtering approaches is important to obtain highly reliable data.

The change in strand bias of miR159 and miR159* have been observed in drb1 mutant plants, which direct strand selection of miRNA duplexes [ 54].