Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy

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 ∼1260 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.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-06-20
DOI
https://doi.org/10.1093/nar/gkaf479
Citations
12
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
9.67

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article

Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy

Anastasia Khvorova, Samuel Hildebrand, Yuselin Karina Mora Pineda, Nicholas McHugh et al.
12 citations
Nucleic Acids Research
RNA Interference and Gene Delivery
9.67
article

Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy

Anastasia Khvorova, Samuel Hildebrand, Yuselin Karina Mora Pineda, Nicholas McHugh, Hannah J. MacMillan, James W. Gilbert, Athma A. Pai, Raymond Furgal, Chris J. Weston, Jacquelyn Sousa, Sarah M. Davis, Socheata Ly, Christina E. Baer, Andrew H. Coles, Julia F. Alterman, Ken Yamada, Vignesh Hariharan, Chantal Ferguson, Dimas Echeverria, Julianna Buchwald, Emily G. Knox, Kathryn Monopoli, Daniel O’Reilly, David Cooper, Qi Tang
article en
12 citations

Abstract

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 ∼1260 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.

Nucleic Acids ResearchVol. 53(12)
Worcester Polytechnic Institute (US), University of Massachusetts Chan Medical School (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 2%
RNA Interference and Gene Delivery
9.67
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