用于动物细胞诱导转基因表达的 RNA 短链簇基因激活系统

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Feiyang Zheng, Yoshinori Kawabe and Masamichi Kamihira*, 
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引用次数: 0

摘要

RNA 表达分析可用于获取细胞内部的各种信息,如物理条件、化学环境和内源性信号。在检测 RNA 方面,细胞内基因表达调控系统具有实时监测活细胞内 RNA 表达水平的潜力。合成生物学为检测和分析细胞内的 RNA 提供了强大的工具。在这里,我们设计了一种 RNA 类似物介导的基因激活系统 RAMGA,通过采用合成生物学中的诱导复合物形成策略,诱导 RNA 触发的基因表达激活。这种方法利用包括噬菌体衣壳蛋白在内的 RNA 结合域,通过目标 RNA 连接 DNA 结合域和转录因子。融合了转录激活因子的 MS2 噬菌体外壳蛋白和融合了四环素抑制因子(tetR)的 PP7 噬菌体外壳蛋白可与编码 MS2 和 PP7 干环的靶 RNA 桥接,从而激活转录。我们生成了重组 CHO 细胞,其中含有诱导性 GFP 表达模块,该模块由带有 tetR 响应元件的最小启动子控制。携带触发 RNA 的细胞表现出强大的报告基因表达,而缺乏触发 RNA 的细胞则没有表达。与没有目标 RNA 表达载体的细胞相比,GFP 的表达上调了 200 多倍。此外,该系统还能检测带有aptamer标签的mRNA的表达,并根据目标mRNA水平调节报告基因的表达,而不影响原始mRNA编码基因的表达。本研究开发的 RNA 触发基因表达系统有望成为建立基因回路、评估内源基因表达和开发新型 RNA 检测器的新平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

RNA Aptamer-Mediated Gene Activation Systems for Inducible Transgene Expression in Animal Cells

RNA Aptamer-Mediated Gene Activation Systems for Inducible Transgene Expression in Animal Cells

RNA Aptamer-Mediated Gene Activation Systems for Inducible Transgene Expression in Animal Cells

RNA expression analyses can be used to obtain various information from inside cells, such as physical conditions, the chemical environment, and endogenous signals. For detecting RNA, the system regulating intracellular gene expression has the potential for monitoring RNA expression levels in real time within living cells. Synthetic biology provides powerful tools for detecting and analyzing RNA inside cells. Here, we devised an RNA aptamer-mediated gene activation system, RAMGA, to induce RNA-triggered gene expression activation by employing an inducible complex formation strategy grounded in synthetic biology. This methodology connects DNA-binding domains and transactivators through target RNA using RNA-binding domains, including phage coat proteins. MS2 bacteriophage coat protein fused with a transcriptional activator and PP7 bacteriophage coat protein fused with the tetracycline repressor (tetR) can be bridged by target RNA encoding MS2 and PP7 stem-loops, resulting in transcriptional activation. We generated recombinant CHO cells containing an inducible GFP expression module governed by a minimal promoter with a tetR-responsive element. Cells carrying the trigger RNA exhibited robust reporter gene expression, whereas cells lacking it exhibited no expression. GFP expression was upregulated over 200-fold compared with that in cells without a target RNA expression vector. Moreover, this system can detect the expression of mRNA tagged with aptamer tags and modulate reporter gene expression based on the target mRNA level without affecting the expression of the original mRNA-encoding gene. The RNA-triggered gene expression systems developed in this study have potential as a new platform for establishing gene circuits, evaluating endogenous gene expression, and developing novel RNA detectors.

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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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