Skip to main content

Advertisement

Figure 1 | BMC Bioinformatics

Figure 1

From: MIR@NT@N: a framework integrating transcription factors, microRNAs and their targets to identify sub-network motifs in a meta-regulation network model

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 microRNA.org (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.

Back to article page