J. Barry, Svetlana Shulga Morskaya, Tuyen Nguyen, Sarah Solomon, K. Fitzgerald, S. Milstein, G. Hinkle
{"title":"RNA-Seq Dose Response Experiments for Quantification of Off-Target Effects with RNAi Therapeutics","authors":"J. Barry, Svetlana Shulga Morskaya, Tuyen Nguyen, Sarah Solomon, K. Fitzgerald, S. Milstein, G. Hinkle","doi":"10.1145/3233547.3233656","DOIUrl":null,"url":null,"abstract":"RNAi therapeutics can be designed to silence almost any gene of interest and have demonstrated high levels of efficacy and acceptable safety profiles in pre-clinical and clinical development for cardio-metabolic, hepatic infectious, central nervous system, and rare diseases. Minimizing microRNA-like off-target activity while maintaining on-target silencing is a means to maximize the safety profile. One strategy to mitigate off-target activity is to incorporate thermally destabilizing residues such as glycol nucleic acid in the seed region of the antisense strand of a double-stranded RNA. Here we demonstrate the benefit of this strategy using Alnylam's ESC+ conjugate platform by performing RNA-Seq in dose response to measure both on-target and off-target effects. Diverse measures and visualizations of transcriptomic noise will be presented, as well as estimates of relative on-target to off-target effects as a function of dose. These results show that ESC+ conjugates are capable of simultaneously achieving high levels of on-target silencing while maintaining low levels of transcriptomic noise.","PeriodicalId":131906,"journal":{"name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3233547.3233656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
RNAi therapeutics can be designed to silence almost any gene of interest and have demonstrated high levels of efficacy and acceptable safety profiles in pre-clinical and clinical development for cardio-metabolic, hepatic infectious, central nervous system, and rare diseases. Minimizing microRNA-like off-target activity while maintaining on-target silencing is a means to maximize the safety profile. One strategy to mitigate off-target activity is to incorporate thermally destabilizing residues such as glycol nucleic acid in the seed region of the antisense strand of a double-stranded RNA. Here we demonstrate the benefit of this strategy using Alnylam's ESC+ conjugate platform by performing RNA-Seq in dose response to measure both on-target and off-target effects. Diverse measures and visualizations of transcriptomic noise will be presented, as well as estimates of relative on-target to off-target effects as a function of dose. These results show that ESC+ conjugates are capable of simultaneously achieving high levels of on-target silencing while maintaining low levels of transcriptomic noise.