通过对偶控制机制缓解赢者通吃的资源竞争。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-12-20 Epub Date: 2024-12-06 DOI:10.1021/acssynbio.4c00476
Suchana Chakravarty, Rishabh Guttal, Rong Zhang, Xiao-Jun Tian
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引用次数: 0

摘要

基因之间对有限的转录和翻译资源的竞争削弱了合成基因电路的功能和模块化。传统的控制机制,如前馈和负反馈循环,已经被提出来减轻这些挑战,但它们通常侧重于单个模块或无意中增加系统的负担。在这项研究中,我们介绍了三种新的多模块控制策略──地方监管、全球监管和负面竞争监管(NCR)──它们采用一种对立的监管机制来缓解资源竞争。我们的系统分析表明,虽然这三种控制机制都可以在一定程度上缓解资源竞争,但NCR控制器始终优于全局控制器和局部控制器。这种优越的性能源于NCR控制器的独特架构,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激活活性较低的模块,而且有效地利用了控制器本身的资源消耗。这些发现强调了仔细设计多模块控制器拓扑以确保鲁棒性能的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism.

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.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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