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A synthetic multi-cellular network of coupled self-sustained oscillators

机译:耦合的自持振荡器的合成多细胞网络

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摘要

Engineering artificial networks from modular components is a major challenge in synthetic biology. In the past years, single units, such as switches and oscillators, were successfully constructed and implemented. The effective integration of these parts into functional artificial self-regulated networks is currently on the verge of breakthrough. Here, we describe the design of a modular higher-order synthetic genetic network assembled from two independent self-sustained synthetic units: repressilators coupled via a modified quorum-sensing circuit. The isolated communication circuit and the network of coupled oscillators were analysed in mathematical modelling and experimental approaches. We monitored clustering of cells in groups of various sizes. Within each cluster of cells, cells oscillate synchronously, whereas the theoretical modelling predicts complete synchronization of the whole cellular population to be obtained approximately after 30 days. Our data suggest that self-regulated synchronization in biological systems can occur through an intermediate, long term clustering phase. The proposed artificial multicellular network provides a system framework for exploring how a given network generates a specific behaviour.
机译:利用模块化组件设计人工网络是合成生物学的主要挑战。在过去的几年中,成功地构建并实现了诸如开关和振荡器之类的单个单元。将这些部件有效地集成到功能性的人工自我调节网络中,目前正处于突破的边缘。在这里,我们描述了由两个独立的自我维持的合成单元组装而成的模块化高阶合成遗传网络的设计:通过改进的群体感应电路耦合的再加压器。通过数学建模和实验方法分析了隔离的通信电路和耦合振荡器的网络。我们监测了各种大小的细胞群的聚集情况。在每个细胞簇中,细胞同步振荡,而理论模型预测大约30天后将获得整个细胞群体的完全同步。我们的数据表明,生物系统中的自我调节同步可以通过中间的长期聚类阶段发生。所提出的人工多细胞网络提供了用于探索给定网络如何产生特定行为的系统框架。

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