Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy
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Le résumé fourni par la source
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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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Systematic analysis of siRNA and mRNA features impacting fully chemically modified siRNA efficacy
- Date Crossref
- 20/06/2025
- Éditeur
- Oxford University Press (OUP)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of Massachusetts Chan Medical School Quantitative and Computational Biosciences and Bioengineering Program pays non établi dans la noticeUniversité ou école supérieure
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Worcester Polytechnic Institute pays non établi dans la noticeUniversité ou école supérieure
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Morningside Graduate School of Biomedical Sciences pays non établi dans la noticeUniversité ou école supérieure
Quantitative and Computational Biosciences and Bioengineering Program — University of Massachusetts Chan Medical School, Worcester Polytechnic Institute et Morningside Graduate School of Biomedical Sciences.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.