N1-methylpseudouridylation of mRNA causes +1 ribosomal frameshifting

平移移码 信使核糖核酸 核糖体 翻译(生物学) 免疫原性 蛋白质生物合成 生物 计算生物学 核糖核酸 细胞生物学 分子生物学 遗传学 基因 免疫系统
作者
Thomas E. Mulroney,Tuija Pöyry,Juan Carlos Yam‐Puc,Maria Rust,Robert F. Harvey,Lajos Kalmár,Emily C. Horner,Lucy H. Booth,Alex Ferreira,Mark Stoneley,Ritwick Sawarkar,Alexander J. Mentzer,Kathryn S. Lilley,C. Mark Smales,Tobias von der Haar,Lance Turtle,Susanna Dunachie,Paul Klenerman,James Thaventhiran,Anne E. Willis
出处
期刊:Nature [Nature Portfolio]
卷期号:625 (7993): 189-194 被引量:198
标识
DOI:10.1038/s41586-023-06800-3
摘要

In vitro-transcribed (IVT) mRNAs are modalities that can combat human disease, exemplified by their use as vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). IVT mRNAs are transfected into target cells, where they are translated into recombinant protein, and the biological activity or immunogenicity of the encoded protein exerts an intended therapeutic effect1,2. Modified ribonucleotides are commonly incorporated into therapeutic IVT mRNAs to decrease their innate immunogenicity3-5, but their effects on mRNA translation fidelity have not been fully explored. Here we demonstrate that incorporation of N1-methylpseudouridine into mRNA results in +1 ribosomal frameshifting in vitro and that cellular immunity in mice and humans to +1 frameshifted products from BNT162b2 vaccine mRNA translation occurs after vaccination. The +1 ribosome frameshifting observed is probably a consequence of N1-methylpseudouridine-induced ribosome stalling during IVT mRNA translation, with frameshifting occurring at ribosome slippery sequences. However, we demonstrate that synonymous targeting of such slippery sequences provides an effective strategy to reduce the production of frameshifted products. Overall, these data increase our understanding of how modified ribonucleotides affect the fidelity of mRNA translation, and although there are no adverse outcomes reported from mistranslation of mRNA-based SARS-CoV-2 vaccines in humans, these data highlight potential off-target effects for future mRNA-based therapeutics and demonstrate the requirement for sequence optimization.
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