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解开活细胞中资源耦合的基因表达

Decoupling Resource-Coupled Gene Expression in Living Cells.

作者信息

Shopera Tatenda, He Lian, Oyetunde Tolutola, Tang Yinjie J, Moon Tae Seok

机构信息

Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis , St. Louis, Missouri 63130, United States.

出版信息

ACS Synth Biol. 2017 Aug 18;6(8):1596-1604. doi: 10.1021/acssynbio.7b00119. Epub 2017 May 4.

Abstract

Synthetic biology aspires to develop frameworks that enable the construction of complex and reliable gene networks with predictable functionalities. A key limitation is that increasing network complexity increases the demand for cellular resources, potentially causing resource-associated interference among noninteracting circuits. Although recent studies have shown the effects of resource competition on circuit behaviors, mechanisms that decouple such interference remain unclear. Here, we constructed three systems in Escherichia coli, each consisting of two independent circuit modules where the complexity of one module (Circuit 2) was systematically increased while the other (Circuit 1) remained identical. By varying the expression level of Circuit 1 and measuring its effect on the expression level of Circuit 2, we demonstrated computationally and experimentally that indirect coupling between these seemingly unconnected genetic circuits can occur in three different regulatory topologies. More importantly, we experimentally verified the computational prediction that negative feedback can significantly reduce resource-coupled interference in regulatory circuits. Our results reveal a design principle that enables cells to reliably multitask while tightly controlling cellular resources.

摘要

合成生物学致力于开发能够构建具有可预测功能的复杂且可靠的基因网络的框架。一个关键限制是,网络复杂性的增加会提高对细胞资源的需求,这可能会在不相互作用的回路之间引发与资源相关的干扰。尽管最近的研究已经表明资源竞争对回路行为的影响,但消除这种干扰的机制仍不清楚。在这里,我们在大肠杆菌中构建了三个系统,每个系统由两个独立的回路模块组成,其中一个模块(回路2)的复杂性被系统地增加,而另一个模块(回路1)保持不变。通过改变回路1的表达水平并测量其对回路2表达水平的影响,我们通过计算和实验证明,这些看似不相连的遗传回路之间的间接耦合可以在三种不同的调控拓扑结构中发生。更重要的是,我们通过实验验证了计算预测,即负反馈可以显著减少调控回路中资源耦合的干扰。我们的结果揭示了一种设计原则,该原则使细胞能够在严格控制细胞资源的同时可靠地执行多项任务。

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