Tse Victor, Guiterrez Martin, Townley Jill, Romano Jonathan, Pearl Jennifer, Chacaltana Guillermo, Players Eterna, Das Rhiju, Sanford Jeremy R, Stone Michael D
Department of Molecular, Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Center for Molecular Biology of RNA, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
bioRxiv. 2024 Oct 16:2024.10.15.618608. doi: 10.1101/2024.10.15.618608.
Splice-modulating antisense oligonucleotides (ASOs) are precision RNA-based drugs that are becoming an established modality to treat human disease. Previously, we reported the discovery of ASOs that target a novel, putative intronic RNA structure to rescue splicing of multiple pathogenic variants of exon 16 that cause hemophilia A. However, the conventional approach to discovering splice-modulating ASOs is both laborious and expensive. Here, we describe an alternative paradigm that integrates data-driven RNA structure prediction and community science to discover splice-modulating ASOs. Using a splicing-deficient pathogenic variant of exon 16 as a model, we show that 25% of the top-scoring molecules designed in the Eterna OpenASO challenge have a statistically significant impact on enhancing exon 16 splicing. Additionally, we show that a distinct combination of ASOs designed by Eterna players can additively enhance the inclusion of the splicing-deficient exon 16 variant. Together, our data suggests that crowdsourcing designs from a community of citizen scientists may accelerate the discovery of splice-modulating ASOs with potential to treat human disease.
剪接调节反义寡核苷酸(ASOs)是一类基于RNA的精准药物,正逐渐成为治疗人类疾病的一种既定方式。此前,我们报告了靶向一种新型假定内含子RNA结构的ASOs的发现,该结构可挽救导致A型血友病的外显子16多种致病变体的剪接。然而,发现剪接调节ASOs的传统方法既费力又昂贵。在此,我们描述了一种整合数据驱动的RNA结构预测和社区科学以发现剪接调节ASOs的替代模式。以剪接缺陷的外显子16致病变体为模型,我们表明在Eterna OpenASO挑战赛中设计的得分最高的分子中有25%对增强外显子16剪接具有统计学上的显著影响。此外,我们表明由Eterna参与者设计的ASOs的独特组合可累加增强剪接缺陷的外显子16变体的包含。总之,我们的数据表明,来自公民科学家群体的众包设计可能会加速具有治疗人类疾病潜力的剪接调节ASOs的发现。