Efficient circular RNA synthesis for potent rolling circle translation

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL Nature Biomedical Engineering Pub Date : 2024-12-13 DOI:10.1038/s41551-024-01306-3
Yifei Du, Philipp Konrad Zuber, Huajuan Xiao, Xueyan Li, Yuliya Gordiyenko, V. Ramakrishnan
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Abstract

Circular RNA (circRNA) is a candidate for next-generation messenger RNA therapeutics owing to its remarkable stability. Here we describe trans-splicing-based methods for the synthesis of circRNAs over 8,000 nucleotides. The methods are independent of bacterial sequences, outperform the permuted intron–exon method and allow for the incorporation of RNA modifications. The resulting unmodified circRNAs, which incorporate sequences from human 28S ribosomal RNA, display low immunogenicity and are translated more efficiently than permuted intron–exon-derived circRNAs. Additionally, by using viral internal ribosomal entry sites for rolling circle translation, we show that ribosomes can efficiently read through highly structured internal ribosomal entry sites, enhancing the efficiency of rolling circle translation by over 7,000-fold with respect to previous constructs. The efficient and reliable production of circRNA may facilitate its therapeutic use.

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有效的环状RNA合成,有效的滚动环翻译
环状RNA (circRNA)由于其显著的稳定性而成为下一代信使RNA治疗的候选药物。在这里,我们描述了基于反式剪接的方法,用于合成超过8000个核苷酸的环状rna。该方法独立于细菌序列,优于排列内含子-外显子方法,并允许结合RNA修饰。由此产生的未经修饰的环状RNA,包含来自人类28S核糖体RNA的序列,显示出低免疫原性,并且比排列内含子-外显子来源的环状RNA更有效地翻译。此外,通过使用病毒内部核糖体进入位点进行滚环翻译,我们发现核糖体可以有效地读取高度结构化的内部核糖体进入位点,将滚环翻译的效率提高了7000多倍。circRNA的高效和可靠的生产可能促进其治疗用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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