基于模型的优化 qCRISPRi 电路的代谢途径的动态控制
Sai Akhil Golla1, Mona Abo-Hashesh1,2, Dev Gupta1
1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5T 3E5, Canada.
ACS synthetic biology
|September 29, 2025
概括
使用定数感应 (QS) 的动态控制电路改善了代谢工程. 在QS调节的CRISPR干扰 (qCRISPRi) 系统中提高调节器的严格性可以提高大肠杆菌的精度和性能.
科学领域:
- 合成生物学 合成生物学
- 代谢工程是代谢工程.
- 系统生物学 系统生物学
背景情况:
- 为了可持续的化学生产,代谢工程面临着代谢负担影响细胞活力和生产力的挑战.
- 动态控制策略,如基于定数感应 (QS) 的电路,通过根据细胞密度自主调节基因表达提供解决方案.
研究的目的:
- 研究一种QS调节的CRISPR干扰 (qCRISPRi) 电路,用于动态控制代谢途径.
- 评估泄漏表达和调节器严格性对电路性能的影响,重点关注开关特性.
主要方法:
- 运用数学建模来分析促进体泄漏性和LuxR严格性对基因表达动态的影响.
- 在大肠杆菌中进行实验验证,以确认模型对电路行为的预测.
主要成果:
- 在dCas9表达中的高促进物泄漏导致切换密度降低和过早的基因抑制.
- 一种高强度的LuxR变种通过最小化泄漏并使qCRISPRi电路中的过渡更清晰,从而提高了切换精度.
- 在大肠杆菌中的实验结果证实,增加的LuxR强度可以提高动态电路性能.
结论:
- LuxR严格性是优化基于QS的动态控制系统性能的一个关键参数.
- 本研究提供了一个定量框架和可概括的设计原则,用于在代谢工程应用中实施动态控制.
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