SARS-CoV-2 Nsp1-Resistant Modified RNA for the Creation of Nsp1-Responsive Systems.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-06-20 Epub Date: 2025-06-05 DOI:10.1021/acssynbio.5c00075
Malvin Leonardo Pardi, Kazuo Takayama, Hirohide Saito
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引用次数: 0

Abstract

Modified RNA (modRNA) facilitates the introduction of complex synthetic genetic circuits into cells without the risk of genomic integration, opening up the implementation of synthetic circuits as therapeutics. However, the number of protein-RNA interfaces that are suitable for the construction of protein-responsive modRNA switches as well as the lack of protein-responsive exclusive selector systems stifles the development of RNA-based synthetic circuits. Here, we present the creation of a modRNA capable of resisting the effects of Nsp1 for the reliable expression of its coding sequence. Using both the subgenomic viral RNA 5'UTR and two modified nucleosides, we observed efficient exogenous protein expression even in Nsp1-transfected cells. To demonstrate its utility, we developed a barnase-barstar system capable of conditional transcript suppression in the presence of Nsp1. Altogether, the resistance to Nsp1-mediated translational suppression and the resulting Nsp1-sensing system we present in this study provide an invaluable opportunity to develop a new class of protein-sensing systems for the construction of more complex RNA-based genetic circuits.

SARS-CoV-2 nsp1抗性修饰RNA用于nsp1应答系统的创建
修饰RNA (modRNA)有助于将复杂的合成遗传回路引入细胞而没有基因组整合的风险,从而开放了合成回路作为治疗方法的实施。然而,适合构建蛋白质响应的modRNA开关的蛋白质- rna界面的数量以及蛋白质响应的专有选择系统的缺乏抑制了基于rna的合成电路的发展。在这里,我们提出了一种能够抵抗Nsp1影响的modRNA的创建,以可靠地表达其编码序列。使用亚基因组病毒RNA 5'UTR和两个修饰核苷,我们观察到即使在nsp1转染的细胞中也能有效地表达外源蛋白。为了证明它的实用性,我们开发了一个barnase-barstar系统,能够在Nsp1存在下条件转录抑制。总之,我们在本研究中提出的对nsp1介导的翻译抑制的抗性和由此产生的nsp1传感系统为开发一类新的蛋白质传感系统以构建更复杂的基于rna的遗传电路提供了宝贵的机会。
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
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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