miRinGO

miRinGO predicts Gene Ontology (GO) terms indirectly targeted by human microRNAs (miRNAs) via transcription factor (TF)-mediated transcriptional regulation.

Key Features:

• Indirect target prediction: Identifies GO terms associated with genes regulated indirectly by miRNAs through TF-mediated transcriptional control rather than only by direct miRNA binding.
• Transcription factor integration: Incorporates transcription factors and their regulatory targets into the analysis to connect miRNA interactions to downstream gene sets.
• Performance relative to direct-target methods: Demonstrates improved prediction of known miRNA–GO term associations compared with conventional approaches that consider only direct miRNA targets.

Scientific Applications:

• Regulatory network analysis: Elucidates broader miRNA-driven regulatory networks by linking miRNAs to downstream biological processes via TFs.
• Pathway and GO term enrichment: Aids identification of biological pathways and GO terms influenced by miRNAs beyond direct target genes.
• Disease mechanism investigation: Supports studies of disease-related miRNA activity by revealing indirect transcriptional effects on relevant genes and processes.

Methodology:

Integrates data on transcription factors and their regulatory targets with known miRNA interactions to predict GO annotations for genes indirectly regulated by miRNAs.