Figure 1.

Meta-regulation network model. The MIR@NT@N meta-regulation network model illustrates interactions between three biological entities, transcription factors (TF), non coding microRNA genes (miRNA) and coding-genes (Gene). This Gene entity represents a target at multiple levels: a DNA sequence (TF regulations), a messenger RNA (miRNA regulations), or a protein (protein-protein interactions). Similarly, edges describe TF regulations (arrows) at DNA level, and miRNA regulations (blunt arrows) at RNA level. Squares represent TFs, diamonds miRNAs and circles coding-gene targets. The MIR@NT@N database is a large-scale resource which integrates information from multiple available databases: PAZAR, JASPAR and oPOSSUM (for TF regulations), miRBase, MicroCosm and (for miRNA target predictions), UniHI (for protein-protein interactions) and Ensembl (for gene annotations). Based on these resources, the MIR@NT@N database also integrates large-scale information about TF regulations on miRNAs through the prediction of TFBS on upstream sequences of miRNA precursors.

Le B├ęchec et al. BMC Bioinformatics 2011 12:67   doi:10.1186/1471-2105-12-67
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