Prime editing enables high-throughput identification and characterization of selective MutSβ inhibitors

Jing, Y.; Yan, J.; Yang, D.; Chen, Y.; Senoussi, I.; Woodward, J.; Williams, K.; Kim, H.; He, K.; Daub, H.; Dahiya, V.; Thomsen, M.; Ling, J.; Ravisankar, P.; Pritykin, Y.; Balmus, G.; Cejka, P.; Hussmann, J. A.; Liu, L.; Vogt, T. F.; Finley, M.; Adamson, B.

doi:10.64898/2026.10.05.755959

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bioRxiv · 10.64898/2026.10.05.755959

Prime editing enables high-throughput identification and characterization of selective MutSβ inhibitors

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Abstract

DNA mismatch repair (MMR) maintains genome stability but paradoxically drives expansion of pathogenic repeats responsible for trinucleotide repeat disorders. Attenuating repeat instability through targeted inhibition of MMR is therefore a therapeutic strategy of interest; however, progress is constrained by a lack of robust methods for defining and isolating MMR subpathways. We exploited features of prime editing to profile the effects of core MMR genes on thousands of programmed DNA mispairs in cells and resolved distinct MMR processes, including a noncanonical, loop-directed mechanism. Guided by these results, we built a set of scalable reporters that detect loss of separable MMR processes and screened ~72,000 small molecules for activity against MutS{beta}-directed MMR. This effort identified a novel series of MutS{beta} inhibitors that reduced (CAG)n expansion in a cell model. Altogether, this study establishes several methods for systematically interrogating MMR, with demonstrated capacity to identify inhibitors of therapeutic value.

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Jing, Y., Yan, J., Yang, D., Chen, Y., Senoussi, I., Woodward, J., Williams, K., Kim, H., He, K., Daub, H., Dahiya, V., Thomsen, M., Ling, J., Ravisankar, P., Pritykin, Y., Balmus, G., Cejka, P., Hussmann, J. A., Liu, L., Vogt, T. F., Finley, M., Adamson, B.. 2026-10-06. Prime editing enables high-throughput identification and characterization of selective MutSβ inhibitors. https://doi.org/10.64898/2026.10.05.755959

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