MicroRNAs (miRNAs) are short, non-coding RNAs which play important regulatory roles on target messenger RNAs (mRNAs) that in turn, result into posttranslational repression. This intricate interplay between miRNAs and mRNA plays significant roles in complex diseases such as cancer. In this review we will introduce the role of several miRNAs known to be associated with different human cancers. More importantly, we will outline many existing computational algorithms that predict miRNA targets. These target prediction algorithms can potentially provide valuable data-based information for further experimental validation of meaningful miRNA-mRNA interactomes responsible for serious diseases including cancer.
CITATION STYLE
Li, X., Klinge, C. M., & Datta, S. (2013). Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Research. In Systems Biology in Cancer Research and Drug Discovery (pp. 267–288). Springer Netherlands. https://doi.org/10.1007/978-94-007-4819-4_11
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