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框架核酸策略能够实现更紧密的微生物接触,以编程短程相互作用。

Framework nucleic acid strategy enables closer microbial contact for programming short-range interaction.

作者信息

Chen Na, Xi Jing, Du Na, Shen Ruichen, Zhao Rui, He Wei, Peng Tianhuang, Yang Yanbing, Zhang Yun, Yu Lilei, Tan Weihong, Yuan Quan

机构信息

Renmin Hospital of Wuhan University, College of Chemistry and Molecular Sciences, Institute of Molecular Medicine, School of Microelectronics, Wuhan University, Wuhan 430072, P. R. China.

Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P. R. China.

出版信息

Sci Adv. 2024 Dec 13;10(50):eadr4399. doi: 10.1126/sciadv.adr4399. Epub 2024 Dec 11.

Abstract

Programming precise and specific microbial intraspecies or interspecies interaction would be powerful for microbial metabolic regulation, signal pathway mechanism understanding, and therapeutic application. However, it is still of great challenge to develop a simple and universal method to artificially encode the microbial interactions without interfering with the intrinsic cell metabolism. Here, we proposed an extensible and flexible framework nucleic acid strategy for encoding the specific and precise microbial interactions upon self-assembly. With this spatial manipulation tool, we propose the microbial spatial heterogeneity and short-range interaction mechanism that the microbial assembly facilitates the gene expressions of the surface sensors including flagella and pili in , leading to a more sensitive response to quorum sensing. The microbial interaction programming strategy proposed in this work is expected to provide a powerful and designable nanoplatform for better understanding of distance-dependent bacterial communication networks.

摘要

对精确且特定的微生物种内或种间相互作用进行编程,对于微生物代谢调控、信号通路机制理解及治疗应用而言将具有强大作用。然而,开发一种简单且通用的方法来人工编码微生物相互作用而不干扰内在细胞代谢,仍然极具挑战性。在此,我们提出了一种可扩展且灵活的框架核酸策略,用于在自组装时编码特定且精确的微生物相互作用。借助这个空间操纵工具,我们提出了微生物空间异质性和短程相互作用机制,即微生物组装促进了包括鞭毛和菌毛在内的表面传感器的基因表达,从而导致对群体感应更敏感的反应。这项工作中提出的微生物相互作用编程策略有望为更好地理解距离依赖性细菌通讯网络提供一个强大且可设计的纳米平台。

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