LimiTT: link miRNAs to targets

Area of Science:

• Molecular Biology
• Bioinformatics

Background:

• MicroRNAs (miRNAs) regulate gene expression post-transcriptionally by binding to target messenger RNAs (mRNAs).
• Investigating miRNA-target interactions (MTIs) is crucial but challenging due to in silico prediction inaccuracies and data limitations, especially for niche model organisms.
• Existing databases for experimentally validated MTIs have restricted search functionalities and inconsistent identifier usage.

Purpose of the Study:

• To develop a comprehensive pipeline, LimiTT, for integrating and analyzing experimentally validated miRNA-target interactions (MTIs).
• To overcome limitations of existing databases by enabling species-specific and non-specific MTI identification with dynamic quality criteria.
• To facilitate MTI research across diverse model organisms, including niche ones, by mapping homologous target identifiers.

Main Methods:

• Integration of four existing databases containing experimentally validated MTIs.
• Development of a pipeline (LimiTT) for data aggregation and analysis.
• Implementation of dynamic quality criteria for MTI identification and enrichment analysis.
• Mapping to homologous target identifiers to enable cross-species MTI discovery.

Main Results:

• LimiTT successfully integrates MTI data from four databases, covering 26 species.
• The pipeline allows for the identification and enrichment analysis of MTIs, with or without species specificity.
• Multiple tabular and graphical outputs are generated for detailed assessment of MTI data.
• The system provides high granularity in linking miRNAs and putative targets.

Conclusions:

• The freely available web-based pipeline, LimiTT, is optimized for determining species-specific and non-specific MTIs.
• LimiTT enhances MTI discovery for both standard and niche model organisms through integrated mapping to homologous target identifiers.
• The tool offers a robust solution for detailed MTI assessment and analysis.