基于模块化真核核糖体核糖开关的无细胞生物传感器,可在常温下一锅运作。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-06-24 DOI:10.1021/acssynbio.4c00341
Atsushi Ogawa, Masahiro Fujikawa, Kazuki Onishi, Hajime Takahashi
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引用次数: 0

摘要

通过成功地将体外选择的与分析物结合的适配体插入 mRNA 的非翻译区,可以构建出对用户定义的分析物有反应的人工核糖开关。其中,真核核糖开关比细菌核糖开关更有希望成为生物传感器,因为它们能在环境温度下正常工作。此外,无细胞表达系统可以更广泛地使用这些核糖开关作为无细胞生物传感器,对环境友好,不受细胞限制。目前最好的无细胞真核生物核糖开关是通过植入的分析物反应性核糖酶(即 aptazyme,一种合酶-核糖酶融合物)介导的自我裂解来调节真核生物的典型翻译启动。然而,作为一种传感器,它存在着严重的缺陷:由于使用的是活性较低的核糖酶,自裂解和翻译反应必须分开并按顺序进行,而且必须选择不同的aptazyme来改变分析物的特异性,即使有了下一种分析物的适配体也是如此。在这里,我们逐步设计出了新型无细胞真核核糖开关,它们能利用高活性的自我裂解,因此无需进行反应分区。与目前需要多步反应的最佳无细胞真核核糖开关相比,这些核糖开关尽管只需一步和一锅反应,却显示出更高的分析物剂量依赖性和灵敏度。此外,分析物的特异性也可以通过极为简便的方式改变,只需替换适配体(以及随后对巨型适配体进行简单的微调)即可。由于无细胞系统可以冻干储存和运输,因此利用真核核糖开关的单锅无细胞生物传感器有望广泛用于在环境温度下对分析物进行现场检测。
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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Cell-Free Biosensors Based on Modular Eukaryotic Riboswitches That Function in One Pot at Ambient Temperature.

Artificial riboswitches responsive to user-defined analytes can be constructed by successfully inserting in vitro selected aptamers, which bind to the analytes, into untranslated regions of mRNA. Among them, eukaryotic riboswitches are more promising as biosensors than bacterial ones because they function well at ambient temperature. In addition, cell-free expression systems allow the broader use of these riboswitches as cell-free biosensors in an environmentally friendly manner without cellular limitations. The current best cell-free eukaryotic riboswitch regulates eukaryotic canonical translation initiation through self-cleavage mediated by an implanted analyte-responsive ribozyme (i.e., an aptazyme, an aptamer-ribozyme fusion). However, it has critical flaws as a sensor: due to the less-active ribozyme used, self-cleavage and translation reactions must be conducted separately and sequentially, and a different aptazyme has to be selected to change the analyte specificity, even if an aptamer for the next analyte is available. We here stepwise engineered novel types of cell-free eukaryotic riboswitches that harness highly active self-cleavage and thus require no reaction partitioning. Despite the single-step and one-pot reaction, these riboswitches showed higher analyte dose dependency and sensitivities than the current best cell-free eukaryotic riboswitch requiring multistep reactions. In addition, the analyte specificity can be changed in an extremely facile way, simply by aptamer substitution (and the subsequent simple fine-tuning for giant aptamers). Given that cell-free systems can be lyophilized for storage and transport, the present one-pot and thus easy-to-handle cell-free biosensors utilizing eukaryotic riboswitches are expected to be widely used for on-the-spot sensing of analytes at ambient temperature.

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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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