Show Notes
Perera J. D. R., Thadke S. A., Thrikawala S. W., Dhami I., Hridya V. M., Mukherjee A., Paul A., Wilson W. D., Tan K. W. R., Chan 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., Dhami I., Hridya V. M., Mukherjee A., Paul A., Wilson W. D., Tan K. W. R., Chan 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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