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通过对偶控制机制缓解赢家通吃的资源竞争

Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism.

作者信息

Chakravarty Suchana, Guttal Rishabh, Zhang Rong, Tian Xiao-Jun

机构信息

School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85281, United States.

School of Life Sciences, Arizona State University, Tempe, Arizona 85281, United States.

出版信息

ACS Synth Biol. 2024 Dec 20;13(12):4050-4060. doi: 10.1021/acssynbio.4c00476. Epub 2024 Dec 6.

DOI:10.1021/acssynbio.4c00476
PMID:39641579
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11948800/
Abstract

Competition among genes for limited transcriptional and translational resources impairs the functionality and modularity of synthetic gene circuits. Traditional control mechanisms, such as feedforward and negative feedback loops, have been proposed to alleviate these challenges, but they often focus on individual modules or inadvertently increase the burden on the system. In this study, we introduce three novel multimodule control strategies─local regulation, global regulation, and negatively competitive regulation (NCR)─that employ an antithetic regulatory mechanism to mitigate resource competition. Our systematic analysis reveals that while all three control mechanisms can alleviate resource competition to some extent, the NCR controller consistently outperforms both the global and local controllers. This superior performance stems from the unique architecture of the NCR controller, which is independent of specific parameter choices. Notably, the NCR controller not only facilitates the activation of less active modules through cross-activation mechanisms but also effectively utilizes the resource consumption within the controller itself. These findings emphasize the critical role of carefully designing the topology of multimodule controllers to ensure robust performance.

摘要

基因之间对有限转录和翻译资源的竞争会损害合成基因回路的功能和模块化。传统的控制机制,如前馈和负反馈回路,已被提出用于缓解这些挑战,但它们通常只关注单个模块,或者无意中增加了系统负担。在本研究中,我们引入了三种新颖的多模块控制策略——局部调控、全局调控和负竞争调控(NCR)——它们采用一种对立的调控机制来减轻资源竞争。我们的系统分析表明,虽然这三种控制机制都能在一定程度上缓解资源竞争,但NCR控制器始终优于全局和局部控制器。这种卓越的性能源于NCR控制器独特的架构,它独立于特定的参数选择。值得注意的是,NCR控制器不仅通过交叉激活机制促进活性较低模块的激活,还能有效利用控制器自身内部的资源消耗。这些发现强调了精心设计多模块控制器拓扑结构以确保稳健性能的关键作用。

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A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits.一种用于资源感知的合成基因电路分析和设计的粗粒度细菌细胞模型。
Nat Commun. 2024 Mar 4;15(1):1981. doi: 10.1038/s41467-024-46410-9.
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Context-dependent redesign of robust synthetic gene circuits.上下文相关的稳健合成基因电路的重新设计。
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Growth Feedback Confers Cooperativity in Resource-Competing Synthetic Gene Circuits.生长反馈赋予资源竞争型合成基因回路协同性。
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Negatively Competitive Incoherent Feedforward Loops Mitigate Winner-Take-All Resource Competition.负反馈非相干前馈环可减轻胜者通吃资源竞争。
ACS Synth Biol. 2022 Dec 16;11(12):3986-3995. doi: 10.1021/acssynbio.2c00318. Epub 2022 Nov 10.
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Robust and tunable signal processing in mammalian cells via engineered covalent modification cycles.通过工程化的共价修饰循环在哺乳动物细胞中实现稳健和可调的信号处理。
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