Chemically modified small interfering RNAs (siRNAs) are a promising drug class that silences disease-causing genes via mRNA degradation. Both siRNA-specific features (e.g. sequence, modification pattern, and structure) and target mRNA-specific factors contribute to observed efficacy. Systematically defining the relative contributions of siRNA sequence, structure, and modification pattern versus the native context of the target mRNA is necessary to inform design considerations and facilitate the widespread application of this therapeutic platform. To address this, we synthesized a panel of â¼1260 differentially modified siRNAs and evaluated their silencing efficiency against therapeutically relevant mRNAs (APP, BACE1, MAPT, and SNCA) using both reporter-based and native expression assays. Our results demonstrate that the siRNA modification pattern (e.g. level of 2'-O-methyl content) significantly impacts efficacy, while structural features (e.g. symmetric versus asymmetric configurations) do not. Furthermore, we observed substantial differences in the number of effective siRNAs identified per target. These target-specific differences in hit rates are largely mitigated when efficacy is tested in the context of a reporter assay, confirming that native mRNA-specific features influence siRNA performance. Key target-specific factors, including exon usage, polyadenylation site selection, and ribosomal occupancy, partially explained efficacy variability. These insights led to a proposed framework of parameters for optimizing therapeutic siRNA design.
Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy.
对影响完全化学修饰的siRNA功效的siRNA和mRNA特征进行系统分析
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作者:Davis Sarah M, Hildebrand Samuel, MacMillan Hannah J, Monopoli Kathryn R, Buchwald Julianna, Sousa Jacquelyn, Cooper David, Ly Socheata, Echeverria Dimas, McHugh Nicholas, Ferguson Chantal, Coles Andrew, Hariharan Vignesh N, O'Reilly Daniel, Tang Qi, Furgal Raymond, Yamada Ken, Alterman Julia F, Gilbert James W, Knox Emily, Pineda Yamilett, Weston Caitlyn N, Baer Christina E, Pai Athma A, Khvorova Anastasia
| 期刊: | Nucleic Acids Research | 影响因子: | 13.100 |
| 时间: | 2025 | 起止号: | 2025 Jun 20; 53(12):gkaf479 |
| doi: | 10.1093/nar/gkaf479 | 研究方向: | 其它 |
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