263: Bifacial γPNA triplets target rCUG repeats and displace MBNL1 in Myotonic Dystrophy type 1

Perera J et al., R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A - Gamma-PNA triplet ligands with Janus bases selectively bind expanded rCUG repeats, displace MBNL1, and show length-dependent cooperativity with partial splicing rescue.

Study Highlights:
The authors designed compact three-unit bifacial nucleic acid ligands (Janus bases on a γPNA backbone) and evaluated them against rCUG repeat duplexes and DM1 patient-derived myotubes using molecular dynamics, EMSA, SPR, AFM, and cellular splicing assays. MD and EMSA/SPR show cooperative, length-dependent binding with Kd values decreasing to ~0.56 µM for rCUG98 and Hill coefficients rising to ~5, driven by enhanced hydrogen-bonding and π–π stacking between adjacent ligands. AFM revealed a 0.348 nm increase in RNA helix contour height on binding, consistent with a pothole-filling insertion mechanism that selectively recognizes hairpin duplexes over single-stranded RNA. Functionally, a cell-permeable LG2c analog reduced nuclear foci and partially restored mis-splicing of Serca1, cTNT, and IR in DM1 myotubes, though cellular uptake remains limiting.

Conclusion:
Short bifacial γPNA triplet ligands selectively recognize pathogenic rCUG hairpins via a pothole-filling mechanism, displace MBNL1, and can partially restore splicing in DM1 myotubes while cellular delivery requires further optimization.

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Reference:
Perera J. D. R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2507065123. https://doi.org/10.1073/pnas.2507065123

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/

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