DIANA-miRPath v3.0: deciphering microRNA function with experimental support

By Ioannis S. Vlachos, Konstantinos Zagganas, Maria D. Paraskevopoulou, G. Georgakilas, Dimitra Karagkouni, Thanasis Vergoulis, Theodore Dalamagas, Artemis G. Hatzigeorgiou. Nucleic Acids Res., 2015

1,574 citations recorded by the source corpus.

The functional characterization of miRNAs is still an open challenge. Here, we present DIANA-miRPath v3.0 (http://www.microrna.gr/miRPathv3) an online software suite dedicated to the assessment of miRNA regulatory roles and the identification of controlled pathways. The new miRPath web server renders possible the functional annotation of one or more miRNAs using standard (hypergeometric distributions), unbiased empirical distributions and/or meta-analysis statistics. DIANA-miRPath v3.0 database and functionality have been significantly extended to support all analyses for KEGG molecular pathways, as well as multiple slices of Gene Ontology (GO) in seven species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Caenorhabditis elegans, Gallus gallus and Danio rerio). Importantly, more than 600 000 experimentally supported miRNA targets from DIANA-TarBase v7.0 have been incorporated into the new schema. Users of DIANA-miRPath v3.0 can harness this wealth of information and substitute or combine the available in silico predicted targets from DIANA-microT-CDS and/or TargetScan v6.2 with high quality experimentally supported interactions. A unique feature of DIANA-miRPath v3.0 is its redesigned Reverse Search module, which enables users to identify and visualize miRNAs significantly controlling selected pathways or belonging to specific GO categories based on in silico or experimental data. DIANA-miRPath v3.0 is freely available to all users without any login requirement.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ac9454ac21df32494b3621e409366be0cc1514e4

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Citations in the corpus

miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis (2016, methodology): “During the past few years, several excellent web-based applications have been developed to support miRNA functional analysis based on their targets, such as DIANAmiRPath (36), starBase-miRFunction (37), miRTar (38) and miRSystem (39).”
DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA–gene interactions (2017, background): “0 (29) for functional characterization of miRNAs.”
TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes (2015, methodology): “To further explore the functional distribution of the top ranked miRNAs, we performed a target-based functional enrichment analysis using DIANA-miRPath (37) (Table 2).”