Bioinformatic prediction, qCLASH, and AlphaFold3 reveal non-overlapping layers of the miR-214-3p-mRNA interactome.

Bioinformatic prediction, qCLASH, and AlphaFold3 reveal distinct, non-overlapping layers of the miR-214-3p-mRNA interactome in mouse lung tissue.

• Why it matters: Accurate mapping of miRNA-mRNA interactions is crucial for understanding gene regulation but remains challenging due to differing methods and limited systematic comparisons, hindering comprehensive interaction landscapes.
• What they did: Using mouse miR-214-3p, the study compared bioinformatic tools, Argonaute-dependent experimental detection, and AI-driven structural modeling, analyzing overlaps and structural plausibility across 1,000,000 simulations.
• The result: Only 95 genes were predicted by all three methods, with overlaps significantly enriched over random expectation; AlphaFold3 models covered 80.95% of qCLASH interactions but often lacked biologically functional conformations, emphasizing the need for multi-layer integration.