miRNAmotif-A Tool for the Prediction of Pre-miRNA⁻Protein Interactions

Area of Science:

• Molecular Biology
• Bioinformatics
• Genetics

Background:

• MicroRNAs (miRNAs) are crucial gene regulators, with their maturation involving complex protein interactions with precursor molecules.
• Both canonical (Drosha/DGCR8, Dicer) and non-canonical pathways, as well as plant-specific DICER-LIKE1 (DCL1), process primary miRNAs (pri-miRNAs).
• Sequence- and structure-specific binding of regulatory proteins to miRNA precursors adds significant complexity to miRNA biogenesis.

Purpose of the Study:

• To develop a web server, miRNAmotif, for identifying miRNA precursors bound by RNA-binding proteins based on known sequence motifs.
• To facilitate the discovery of novel proteins involved in microRNA biogenesis.
• To provide a tool for predicting new RNA-binding protein motifs from user-provided sequences.

Main Methods:

• Development of a web server (miRNAmotif) utilizing a database of known human, murine, and *Arabidopsis thaliana* pre-miRNAs.
• Implementation of motif searching based on known sequence patterns.
• Inclusion of functionality for predicting novel RNA-binding protein motifs from user-submitted sequences.

Main Results:

• The web server successfully identifies pre-miRNAs containing motifs for known proteins like Lin28, MCPIP1, and DGCR8.
• The tool predicted motifs for DEAD-box helicases DDX1 and DDX17 within pre-miRNA sequences.
• miRNAmotif is available as open-source software with its code accessible on GitHub.

Conclusions:

• miRNAmotif provides a valuable resource for exploring RNA-binding protein interactions with miRNA precursors.
• The tool can accelerate the identification of new regulators in miRNA biogenesis across different species.
• The open-source nature and web accessibility of miRNAmotif promote its widespread use in biological research.