1. Transcriptome-Wide Off-Target Effects of Steric-Blocking Oligonucleotides
- Author
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Amit G. Deshwar, Shreshth Gandhi, Jovanka Bogojeski, Andrew Delong, Marta Verby, Brandon Vaz, Daniele Merico, Erle M. Holgersen, Matthew O’Hara, João Gonçalves, Jinkuk Kim, Magdalena Bugno, Boyko Kakaradov, Mark Sun, Yongchao Zhou, Kahlin Cheung-Ong, Ken Kron, and Zvi Shalev
- Subjects
False discovery rate ,Oligonucleotide ,RNA Splicing ,In silico ,Oligonucleotides ,splice-switching ,RNA ,off-target effects ,Computational biology ,Oligonucleotides, Antisense ,steric-blocking oligonucleotides ,Biology ,Biochemistry ,Article ,Transcriptome ,Alternative Splicing ,Drug Discovery ,RNA splicing ,Gene expression ,Genetics ,Nucleic acid ,Molecular Medicine ,Molecular Biology - Abstract
Steric-blocking oligonucleotides (SBOs) are short, single-stranded nucleic acids designed to modulate gene expression by binding to RNA transcripts and blocking access from cellular machinery such as splicing factors. SBOs have the potential to bind to near-complementary sites in the transcriptome, causing off-target effects. In this study, we used RNA-seq to evaluate the off-target differential splicing events of 81 SBOs and differential expression events of 46 SBOs. Our results suggest that differential splicing events are predominantly hybridization driven, whereas differential expression events are more common and driven by other mechanisms (including spurious experimental variation). We further evaluated the performance of in silico screens for off-target splicing events, and found an edit distance cutoff of three to result in a sensitivity of 14% and false discovery rate (FDR) of 99%. A machine learning model incorporating splicing predictions substantially improved the ability to prioritize low edit distance hits, increasing sensitivity from 4% to 26% at a fixed FDR of 90%. Despite these large improvements in performance, this approach does not detect the majority of events at an FDR
- Published
- 2021
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