RNA interference (RNAi) has become an indispensable tool for functional genetic studies over the last decades by harnessing the power of a cell intrinsic mechanism enabling reversible gene silencing.
Indeed, gene silencing can mirror gene loss during disease progression or mimic pharmacological target inhibition even where no such drug currently exists. In both cultured cells and animals, RNAi thus promises to rapidly advance our understanding of disease and search for new therapies. However,the design of potent and specific RNAitriggersis nottrivial, limiting the practical potential of RNAiforresearch and clinicalsettings.
Evolution driven design Christof Fellmann, Johannes Zuber and coworkers at Cold Spring Harbor Laboratory (CSHL), USA, came up with strategies to improve RNAi technology when both were still working there. "The molecular underpinnings of efficient gene silencing are yet to be fully understood. Potent RNAi triggers are rare and have to be identified among hundreds to thousands of possibilities for each gene.
Fellmann and his team analyzed a specific microRNA backbone across various species, including opossum, chicken, elephant, rat and human, to identify sequence motifs that remain unchanged, indicating possible functional importance. The researchers then found that some of these sequences had been modified in one of the most commonly used synthetic RNAi backbones. By inverting these sequence regions back to their natural form and establishing a new shRNA backbone termed "miR-E", Fellmann and his team succeeded in greatly enhancing the efficiency of synthetic RNAi tools.
Realizing the full potential of RNAi "This advancement is highly relevant to reduce to practice the great promise of RNAi for drug discovery and biomedical research", Fellmann summarizes. While current methods require laborious and lengthy testing of many predictions to find an RNAi trigger that is sufficiently potent, the optimized "miR-E" backbone drastically increases the success rate through better processing of the precursor molecules.
Importantly, the new miR-E backbone can easily be integrated into current technologies to improve high-throughput RNAi screens and RNAi-based mouse models of human disease. Looking forward, Fellmann's study will open a promising avenue for generating focused and genome-wide shRNA libraries that will truly cover each gene with multiple effective shRNAs and constitute a validated and versatile tool for high-throughput functional genetics in the post-genomic era.