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MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

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Related Experiment Video

Updated: Jun 23, 2026

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Published on: September 28, 2011

DIANA-microT web server: elucidating microRNA functions through target prediction.

M Maragkakis¹, M Reczko, V A Simossis

¹Department of Molecular Oncology, Biomedical Sciences Research Center Alexander Fleming, Vari.

Nucleic Acids Research

|May 2, 2009

Summary

DIANA-microT 3.0 accurately predicts microRNA (miRNA) targets, identifying their roles in biological processes and diseases. This web server offers a user-friendly interface with extensive data integration for enhanced biological research.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

MicroRNA (miRNA) target prediction is crucial for understanding miRNA functions in development and disease.
Existing computational tools require user-friendly interfaces and robust validation methods.

Purpose of the Study:

To introduce the DIANA-microT web server, an interface for the DIANA-microT 3.0 miRNA target prediction algorithm.
To provide a comprehensive platform for exploring miRNA:target gene interactions and their functional implications.

Main Methods:

Development of the DIANA-microT web server with a user-friendly interface.
Integration of DIANA-microT 3.0 algorithm for miRNA target prediction.
Incorporation of signal-to-noise ratio and precision scores for result evaluation.
Validation using pSILAC-identified miRNA targets.

Main Results:

DIANA-microT 3.0 achieved the highest ratio of correctly predicted targets (66%) among assessed programs.
The web server offers extensive connectivity to biological databases and pathway information (KEGG).
Users can search for targets using various nomenclatures and functional features.

Conclusions:

The DIANA-microT web server provides a valuable resource for miRNA research.
DIANA-microT 3.0 demonstrates high accuracy in computational miRNA target prediction.
The platform facilitates the elucidation of miRNA functions in biological contexts.