Patrocles

Patrocles catalogs and analyzes miRNA-related genetic variants to assess their impacts on miRNA-mediated gene regulation across seven vertebrate species.


Key Features:

  • Species coverage: Contains curated data for seven vertebrate species to enable comparative analyses of miRNA-related variants.
  • Comprehensive compartments analysis: Reports variants affecting miRNA targets, miRNA precursors, and components of the silencing machinery.
  • Contextual data and visualization: Provides contextual information including graphical representations of miRNA–target coexpression patterns and expression Quantitative Trait Loci (eQTL) effects on target genes by genotype.
  • Copy number variants and eQTL integration: Integrates Copy Number Variants (CNVs) and eQTL data that influence miRNA precursors and genes encoding silencing machinery components.
  • Patrocles Finder: Evaluates whether specific DSPs may affect miRNA-mediated regulation in user-provided target sequences.

Scientific Applications:

  • Disease and trait genetics: Identification of DSPs that alter miRNA–target interactions or silencing machinery genes to study genetic contributions to disease and trait variation.
  • Variant prioritization: Prioritization of candidate regulatory variants based on coexpression and eQTL contextual evidence.
  • Evolutionary analysis: Investigation of selective pressures on miRNA target sites and related variants to study evolutionary maintenance of miRNA–target integrity.

Methodology:

Includes analyses for signatures of selection on "Patrocles single nucleotide polymorphisms (pSNPs)" in human and mouse genomes.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
SQL, Perl
Added:
3/27/2017
Last Updated:
11/25/2024

Operations

Publications

Hiard S, Charlier C, Coppieters W, Georges M, Baurain D. Patrocles: a database of polymorphic miRNA-mediated gene regulation in vertebrates. Nucleic Acids Research. 2009;38(suppl_1):D640-D651. doi:10.1093/nar/gkp926. PMID:19906729. PMCID:PMC2808989.

Documentation