数字化蓝光激活的T7 RNA聚合酶系统与一个tet控制的核糖调节器

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Sara Baldanta,  and , Guillermo Rodrigo*, 
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引用次数: 0

摘要

光遗传系统提供了对基因表达的精确控制,但黑暗中的泄漏活动限制了它们的动态范围,从而限制了它们的适用性。在这里,我们增强了一个基于分裂T7 RNA聚合酶融合到蓝光诱导磁体的光遗传系统,并加入了一个tet控制的核糖调控模块。该模块利用了无水四环素的光敏性和合成小rna的可设计性来数字化光控基因表达,实现了对聚合酶片段基因翻译的抑制作用,该作用通过蓝光解除。我们的工程系统在蓝光照射下的动态范围提高了13倍,当使用预先适应化学诱导的细胞时,动态范围甚至提高到23倍。作为功能性演示,我们在细菌中实现了光控抗生素耐药性。这种调控层的集成代表了一种合适的策略,可以为基于光的生物技术应用设计更好的电路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digitizing the Blue Light-Activated T7 RNA Polymerase System with a tet-Controlled Riboregulator

Optogenetic systems offer precise control over gene expression, but leaky activity in the dark limits their dynamic range and, consequently, their applicability. Here, we enhanced an optogenetic system based on a split T7 RNA polymerase fused to blue-light-inducible Magnets by incorporating a tet-controlled riboregulatory module. This module exploits the photosensitivity of anhydrotetracycline and the designability of synthetic small RNAs to digitize light-controlled gene expression, implementing a repressive action over the translation of a polymerase fragment gene that is relieved with blue light. Our engineered system exhibited 13-fold improvement in dynamic range upon blue light exposure, which even raised to 23-fold improvement when using cells preadapted to chemical induction. As a functional demonstration, we implemented light-controlled antibiotic resistance in bacteria. Such integration of regulatory layers represents a suitable strategy for engineering better circuits for light-based biotechnological applications.

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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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