Structural Basis for Target-Directed MicroRNA Degradation.

MicroRNAs (miRNAs) broadly regulate gene expression through association with Argonaute (Ago), which also protects miRNAs from degradation. However, miRNA stability is known to vary and is regulated by poorly understood mechanisms. A major emerging process, termed target-directed miRNA degradation (TDMD), employs specialized target RNAs to selectively bind to miRNAs and induce their decay. Here, we report structures of human Ago2 (hAgo2) bound to miRNAs and TDMD-inducing targets. miRNA and target form a bipartite duplex with an unpaired flexible linker. hAgo2 cannot physically accommodate the RNA, causing the duplex to bend at the linker and display the miRNA 3' end for enzymatic attack. Altering 3' end display by changing linker flexibility, changing 3' end complementarity, or mutationally inducing 3' end release impacts TDMD efficiency, leading to production of distinct 3'-miRNA isoforms in cells. Our results uncover the mechanism driving TDMD and reveal 3' end display as a key determinant regulating miRNA activity via 3' remodeling and/or degradation.

Helix-7 in Argonaute2 shapes the microRNA seed region for rapid target recognition.

Argonaute proteins use microRNAs (miRNAs) to identify mRNAs targeted for post-transcriptional repression. Biochemical assays have demonstrated that Argonaute functions by modulating the binding properties of its miRNA guide so that pairing to the seed region is exquisitely fast and accurate. However, the mechanisms used by Argonaute to reshape the binding properties of its small RNA guide remain poorly understood. Here, we identify a structural element, α-helix-7, in human Argonaute2 (Ago2) that is required for speed and fidelity in binding target RNAs. Biochemical, structural, and single-molecule data indicate that helix-7 acts as a molecular wedge that pivots to enforce rapid making and breaking of miRNA:target base pairs in the 3' half of the seed region. These activities allow Ago2 to rapidly dismiss off-targets and dynamically search for seed-matched sites at a rate approaching the limit of diffusion.