title: A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2.
abstract: Computational methods for miRNA target prediction vary in the algorithm used; and while one can state opinions about the strengths or weaknesses of each particular algorithm, the fact of the matter is that they fall substantially short of capturing the full detail of physical, temporal and spatial requirements of miRNA::target-mRNA interactions. Here, we introduce a novel miRNA target prediction tool called Targetprofiler that utilizes a probabilistic learning algorithm in the form of a hidden Markov model trained on experimentally verified miRNA targets. Using a large scale protein downregulation data set we validate our method and compare its performance to existing tools. We find that Targetprofiler exhibits greater correlation between computational predictions and protein downregulation and predicts experimentally verified miRNA targets more accurately than three other tools. Concurrently, we use primer extension to identify the mature sequence of a novel miRNA gene recently identified within a cancer associated genomic region and use Targetprofiler to predict its potential targets. Experimental verification of the ability of this small RNA molecule to regulate the expression of CCND2, a gene with documented oncogenic activity, confirms its functional role as a miRNA. These findings highlight the competitive advantage of our tool and its efficacy in extracting biologically significant results.
authors.affiliation: Institute of Molecular Biology and Biotechnology-FORTH, Heraklion, Crete, Greece.
authors.forename: Anastasis
authors.initials: A
authors.lastname: Oulas
authors.forename: Nestoras
authors.initials: N
authors.lastname: Karathanasis
authors.forename: Annita
authors.initials: A
authors.lastname: Louloupi
authors.forename: Ioannis
authors.initials: I
authors.lastname: Iliopoulos
authors.forename: Kriton
authors.initials: K
authors.lastname: Kalantidis
authors.forename: Panayiota
authors.initials: P
authors.lastname: Poirazi
mesh_terms: D000465:Algorithms; D056742:Cyclin D2 / Q000096:biosynthesis / Q000235:genetics; D015972:Gene Expression Regulation, Neoplastic; D006367:HeLa Cells; D006801:Humans; D035683:MicroRNAs / Q000235:genetics / Q000378:metabolism; D009363:Neoplasm Proteins / Q000096:biosynthesis / Q000235:genetics; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism; D012334:RNA, Neoplasm / Q000235:genetics / Q000378:metabolism; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: C080336:CCND2 protein, human; D056742:Cyclin D2; D035683:MicroRNAs; D009363:Neoplasm Proteins; D012334:RNA, Neoplasm