A scalable platform for exon-skipping antisense oligonucleotide therapy development for inborn genetic diseases
Authors:
- Logan NewtonLNLogan Newton
- Bushra HaqueBHBushra Haque
- David CheerieDCDavid Cheerie
- Conor KlamannCKConor Klamann
- Rebecca SakakiRSRebecca Sakaki
- Lauren VerhaegheLVLauren Verhaeghe
- Yijing LiangYLYijing Liang
- Ryan M. MarksRMRyan M. Marks
- Evgueni A. IvakineEIEvgueni A. Ivakine
- Ashish R. DeshwarADAshish R. Deshwar
Preprint
Abstract
Antisense oligonucleotides (ASOs) are a versatile therapeutic modality for inborn genetic diseases. ASOs can induce skipping of “dispensable” exons containing disease-causing variants to rescue protein amount and function, but this approach has been studied for only a small number of genes. We developed a high-throughput in silico tool for assessing exon dispensability and designing exon-skipping ASO sequences. Parameters were optimized using known dispensable and in-frame indispensable exons. Across 72,644 exons of 5,057 disease genes, we identified thousands of new targets for exon-skipping ASOs (3.4% of exons with most stringent filters, 24.5% with less stringent filters) that collectively include 0.97%-15.6% of disease-causing variants in large-scale databases. To facilitate recognition of DNA variants potentially amenable to exon skipping as a therapeutic strategy, we established the HAWK-EYE database as a repository of exon dispensability predictions and corresponding in silico -optimized ASO sequences, available as an open-access web application ( https://hawk-eye.research.sickkids.ca/ ). To illustrate translational utility, we experimentally validated a subset of the in silico -optimized ASO sequences that were generated for all Dispensable exons in the HAWK-EYE database, and showed that skipping a Dispensable exon in SOX5 preserves protein function using in vivo and in vitro assays. This scalable platform approach to exon-skipping ASOs will accelerate identification and testing of amenable genetic variants.Keywords
Funding Information
- Restracomp Doctoral Scholarship, Hospital for Sick Children
- Data Sciences Institute, University of Toronto
- Program in Genetics & Genome Biology, SickKids Research Institute
- Physicians' Services Incorporated Foundation
- Sickkids Research Institute
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