Summary This study identifies a surveillance mechanism that monitors microRNA precursors and selectively degrades aberrant pre-miRNAs, ensuring the quality of miRNA biogenesis. The findings reveal a previously unknown layer of post-transcriptional regulation in the miRNA processing pathway.
Summary DIANA-LncBase is the first database dedicated to microRNA interactions with long non-coding RNAs, combining experimentally validated interactions with high-confidence computational predictions. The resource enables systematic study of miRNA-lncRNA regulatory networks.
Summary DIANA miRPath v.2.0 enables researchers to study how multiple microRNAs cooperatively regulate biological pathways. The updated tool incorporates improved statistical methods and expanded databases for pathway enrichment analysis based on miRNA target predictions.
Summary This study demonstrates that microRNAs can regulate gene expression through binding sites located within protein-coding sequences, not only the canonical 3’ UTR sites. Functional coding sequence targets are identified and validated, broadening the scope of miRNA-mediated gene regulation.
Summary TarBase 6.0 is a manually curated database of experimentally validated microRNA targets, significantly expanding the collection of miRNA-target interactions with experimental support from the literature. The database provides a gold standard for benchmarking computational prediction methods.
Summary This update to the DIANA-microT web server extends its target prediction capabilities to Drosophila melanogaster and Caenorhabditis elegans microRNAs, and introduces a bibliographic module linking microRNAs to diseases based on the scientific literature.
Summary This article provides a curated overview of the online tools, databases, and web servers available for microRNA research, covering target prediction, expression analysis, and pathway analysis resources.
Summary This study improves the accuracy of microRNA target prediction by modeling the accessibility of miRNA binding sites using detailed RNA secondary structure calculations and training machine learning models on proteomic measurements of miRNA-mediated repression.
Summary This study shows that adenosine-to-inosine editing of Epstein-Barr virus BART6 miRNAs alters their recognition by Dicer, leading to changes in miRNA processing and abundance. The editing events modulate viral latency, linking RNA editing to EBV biology.
Summary DIANA-mirExTra identifies microRNAs driving observed gene expression changes by combining miRNA target predictions with gene expression data. Users provide a list of differentially expressed genes and receive ranked microRNAs predicted to regulate that expression signature.
Summary This work provides a systematic assessment of the state of computational microRNA target identification, examining the performance of existing tools and discussing the challenges in translating predictions into biological insight. Guidelines are provided for researchers interpreting computational miRNA target predictions.
Summary This study benchmarks microRNA target prediction methods against protein repression data, showing that the DIANA-microT algorithm achieves high correlation with experimentally measured protein repression. The work provides a framework for evaluating and improving computational miRNA target prediction.
Summary DIANA-mirPath is a web-based tool that integrates microRNA target predictions with KEGG pathway data to identify biological pathways regulated by user-specified microRNAs. The tool supports both human and mouse miRNAs and provides statistical analysis of pathway enrichment.
Summary The DIANA-microT web server provides access to the DIANA-microT algorithm for microRNA target prediction. The server enables researchers to identify genes regulated by specific microRNAs, query microRNAs targeting specific genes, and perform pathway-level analysis of miRNA regulatory networks.