An AI-guided framework reveals conserved features governing microRNA strand selection

MicroRNAs (miRNAs) are central regulators of gene expression, yet how cells choose between the two strands (5p or 3p) of a miRNA duplex during biogenesis remains unresolved. Here, we present a comprehensive, experimentally grounded framework that decodes the logic of miRNA strand selection. Using Caenorhabditis elegans as a model system, we developed a high-throughput platform enabling precise quantification of strand usage across developmental stages and in specific somatic tissues. To uncover...