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可编程遗传电路用于途径工程。

Programmable genetic circuits for pathway engineering.

机构信息

Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.

Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.

出版信息

Curr Opin Biotechnol. 2015 Dec;36:115-21. doi: 10.1016/j.copbio.2015.08.007. Epub 2015 Aug 29.

Abstract

Synthetic biology has the potential to provide decisive advances in genetic control of metabolic pathways. However, there are several challenges that synthetic biologists must overcome before this vision becomes a reality. First, a library of diverse and well-characterized sensors, such as metabolite-sensing or condition-sensing promoters, must be constructed. Second, robust programmable circuits that link input conditions with a specific gene regulation response must be developed. Finally, multi-gene targeting strategies must be integrated with metabolically relevant sensors and complex, robust logic. Achievements in each of these areas, which employ the CRISPR/Cas system, in silico modeling, and dynamic sensor-regulators, among other tools, provide a strong basis for future research. Overall, the future for synthetic biology approaches in metabolic engineering holds immense promise.

摘要

合成生物学有可能在遗传控制代谢途径方面取得决定性进展。然而,在这一愿景成为现实之前,合成生物学家必须克服几个挑战。首先,必须构建一个多样化且特征良好的传感器文库,如代谢物感应或条件感应启动子。其次,必须开发出能够将输入条件与特定基因调控反应联系起来的稳健可编程电路。最后,必须将多基因靶向策略与代谢相关的传感器和复杂、稳健的逻辑集成在一起。在这些领域的成果中,包括 CRISPR/Cas 系统、计算机建模和动态传感器调节剂等工具,为未来的研究提供了坚实的基础。总的来说,合成生物学方法在代谢工程中的未来具有巨大的潜力。

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