Synthetic cells produce a quorum sensing chemical signal perceived by Pseudomonas aeruginosa,Chemical Communications

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Synthetic cells produce a quorum sensing chemical signal perceived by Pseudomonas aeruginosa
Chemical Communications ( IF 4.3 ) Pub Date : 2018-01-04 00:00:00 , DOI: 10.1039/c7cc09678j
Giordano Rampioni _{1,

2,

3} , Francesca D’Angelo _{1,

2,

3} , Marco Messina _{1,

2,

3} , Alessandro Zennaro _{1,

2,

3} , Yutetsu Kuruma _{4,

5,

6} , Daniela Tofani _{1,

2,

3} , Livia Leoni _{1,

2,

3} , Pasquale Stano _{1,

2,

3}

Affiliation

Recent developments in bottom-up synthetic biology (e.g., lipid vesicle technology integrated with cell-free protein expression systems) allow the generation of semi-synthetic minimal cells (in short, synthetic cells, SCs) endowed with some distinctive capacities of natural cells. In particular, such approaches provide technological tools and conceptual frameworks for the design and engineering of programmable SCs capable of communicating with natural cells by exchanging chemical signals. Here we describe the generation of giant vesicle-based SCs which, via gene expression, synthesize in their aqueous lumen an enzyme that in turn produces a chemical signal. The latter is a small molecule, which is passively released in the medium and then perceived by the bacterium Pseudomonas aeruginosa, demonstrating that SCs and bacteria can communicate chemically. The results pave the way to a novel basic and applied research area where synthetic cells can communicate with natural cells, for example for exploring minimal cognition, developing chemical information technologies, and producing smart and programmable drug-producing/drug-delivery systems.

中文翻译：

合成细胞产生铜绿假单胞菌感知的群体感应化学信号

自下而上的合成生物学的最新发展（例如，与无细胞蛋白表达系统集成的脂质囊泡技术）使得具有天然细胞某些独特能力的半合成最小细胞（简称合成细胞，SC）的产生成为可能。特别地，这样的方法为能够通过交换化学信号与天然细胞进行通信的可编程SC的设计和工程化提供了技术工具和概念框架。在这里，我们描述了巨大的基于囊泡的SC的生成，这些SC通过基因表达在其水腔内合成一种酶，该酶又会产生化学信号。后者是一个小分子，它在培养基中被动释放，然后被细菌感知铜绿假单胞菌（Pseudomonas aeruginosa），表明SC和细菌可以进行化学通讯。该结果为合成细胞可以与天然细胞进行交流的基础和应用研究领域铺平了道路，例如，用于探索最低限度的认知，开发化学信息技术以及生产智能的可编程药物生产/药物输送系统。

更新日期：2018-02-22

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