Design of genetic circuits that are robust to resource competition

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cameron D. McBride , Theodore W. Grunberg , Domitilla Del Vecchio
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引用次数: 14

Abstract

The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic circuits remains a significant hurdle. We review intra-cellular resource competition, one culprit of context dependence, and summarize recent efforts toward design approaches to mitigate it. We classify these approaches into two main groups: global control and local control. In the former, the pool of resources is regulated to meet the demand, and in the latter, individual modules are regulated to be robust to variability in the pool of resources. Within each group, we highlight both feedback and feedforward implementations.

对资源竞争具有鲁棒性的遗传电路设计
在活细胞中设计基因电路的能力在许多应用中具有巨大的潜力,从健康到能源,再到生物制造。尽管在设计方法上已经做出了大量的努力,使电路对可变的细胞环境具有鲁棒性,但遗传电路的环境依赖性仍然是一个重大障碍。我们回顾了细胞内资源竞争,这是环境依赖的罪魁祸首之一,并总结了最近在设计方法上的努力来减轻它。我们将这些方法分为两大类:全局控制和局部控制。在前者中,对资源池进行调节以满足需求,而在后者中,对单个模块进行调节以使其对资源池中的可变性具有鲁棒性。在每个组中,我们强调反馈和前馈实现。
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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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