MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis

Area of Science:

• Bioinformatics
• Molecular Biology
• Genomics

Background:

• MicroRNAs (miRNAs) regulate gene expression, targeting multiple genes simultaneously.
• Prioritizing miRNA-target interactions is crucial for understanding cellular regulatory mechanisms.
• Existing methods require navigating multiple platforms for comprehensive analysis.

Purpose of the Study:

• To develop a user-friendly web tool for prioritizing miRNA-target interactions.
• To integrate statistical and network-based analyses into a single platform.
• To facilitate independent investigation of miRNA activity in cellular processes.

Main Methods:

• MIENTURNET accepts lists of miRNAs or mRNAs as input.
• It performs statistical analysis to assess the significance of miRNA-target interactions.
• Network theory is applied for a holistic analysis of regulatory networks.

Main Results:

• MIENTURNET effectively prioritizes miRNA-target interactions through integrated analyses.
• The tool identifies emergent properties of regulatory networks not apparent from pairwise analysis.
• It filters interactions based on statistical significance.

Conclusions:

• MIENTURNET provides a unified platform for statistical and network-based miRNA-target interaction analysis.
• The tool empowers researchers, even those without computational expertise, to investigate miRNA functions.
• MIENTURNET is freely accessible online with a user guide.