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Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
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LimiTT: link miRNAs to targets.

Julia Bayer1, Carsten Kuenne1, Jens Preussner1

  • 1Group of Bioinformatics, Max Planck Institute for Heart and Lung Research, Ludwigstrasse 43, D-61231, Bad Nauheim, Germany.

BMC Bioinformatics
|May 13, 2016
PubMed
Summary
This summary is machine-generated.

LimiTT integrates validated miRNA target interaction data from multiple databases for 26 species. This tool aids in identifying species-specific and non-specific interactions, improving research in both standard and niche model organisms.

Keywords:
MiRNA target interactionsNiche model organismsProteomeTranscriptomemiRNA target linkagemiRNAome

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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.