MicroRNAs (miRs) are small non-coding RNAs that regulate gene expression. Their dysregulation is closely associated with various diseases, positioning them as biomarkers of cellular state. Synthetic biology has leveraged these properties to engineer miR-based genetic circuits capable of sensing and interpreting endogenous miR levels. Early miR-OFF systems relied on reporter gene repression but were limited by ambiguous signal interpretation. Subsequent advances introduced miR-ON architectures, logic-based classifiers integrating multiple miRs, and layered regulatory strategies combining transcriptional, translational, and cleavage-based modules to enhance sensitivity and specificity. Recent innovations include CRISPR-associated miR-responsive systems and incoherent feed-forward loop (iFFL) architectures that stabilize gene expression amid cellular variability, shifting applications from passive sensing to therapeutic intervention. Despite challenges such as leakage, cellular resource resources, and delivery, progress in orthogonal miR toolkits, computational modeling, and RNA-based delivery platforms is rapidly driving miR-based circuits toward diagnostic and therapeutic applications.
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