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合成生物学训练中探索模块化基因调控的工具箱

Toolbox for Exploring Modular Gene Regulation in Synthetic Biology Training.

作者信息

Magaraci Michael S, Bermudez Jessica G, Yogish Deeksha, Pak Daniel H, Mollov Viktor, Tycko Josh, Issadore David, Mannickarottu Sevile G, Chow Brian Y

机构信息

Department of Bioengineering, University of Pennsylvania , Philadelphia, Pennsylvania 19104, United States.

出版信息

ACS Synth Biol. 2016 Jul 15;5(7):781-5. doi: 10.1021/acssynbio.6b00057. Epub 2016 May 12.

Abstract

We report a toolbox for exploring the modular tuning of genetic circuits, which has been specifically optimized for widespread deployment in STEM environments through a combination of bacterial strain engineering and distributable hardware development. The transfer functions of 16 genetic switches, programmed to express a GFP reporter under the regulation of the (acyl-homoserine lactone) AHL-sensitive luxR transcriptional activator, can be parametrically tuned by adjusting high/low degrees of transcriptional, translational, and post-translational processing. Strains were optimized to facilitate daily large-scale preparation and reliable performance at room temperature in order to eliminate the need for temperature controlled apparatuses, which are both cost-limiting and space-constraining. The custom-designed, automated, and web-enabled fluorescence documentation system allows time-lapse imaging of AHL-induced GFP expression on bacterial plates with real-time remote data access, thereby requiring trainees to only be present for experimental setup. When coupled with mathematical models in agreement with empirical data, this toolbox expands the scalability and scope of reliable synthetic biology experiments for STEM training.

摘要

我们报告了一个用于探索基因电路模块化调控的工具箱,该工具箱通过细菌菌株工程和可分发硬件开发的组合,针对在STEM环境中的广泛应用进行了专门优化。16个基因开关的传递函数,被编程为在(酰基高丝氨酸内酯)AHL敏感的luxR转录激活剂的调控下表达绿色荧光蛋白(GFP)报告基因,可以通过调整转录、翻译和翻译后加工的高低程度进行参数调整。菌株经过优化,以利于日常大规模制备,并在室温下具有可靠的性能,从而无需使用既限制成本又占用空间的温控设备。定制设计的、自动化的、基于网络的荧光记录系统允许对细菌平板上AHL诱导的GFP表达进行延时成像,并实现实时远程数据访问,因此学员仅需参与实验设置即可。当与符合实验数据的数学模型相结合时,该工具箱扩展了用于STEM培训的可靠合成生物学实验的可扩展性和范围。

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