Suppr超能文献

复杂合成回路基因组整合的改良方法。

Refined method for the genomic integration of complex synthetic circuits.

机构信息

Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.

出版信息

J Biosci Bioeng. 2010 Nov;110(5):529-36. doi: 10.1016/j.jbiosc.2010.05.014. Epub 2010 Jun 20.

Abstract

Genetic reconstruction of regulatory gene circuits is currently applied in systematic dynamics and structure-function studies of intact cellular networks in systems biology. We present a modified procedure for the integration of complex genetic circuits into the Escherichia coli genome, to provide an efficient synthetic approach for stochastic study and the artificial engineering of genetic networks. Linear artificial sequences of various lengths were easily integrated into the bacterial genome at one time. Comparison of the cellular concentrations of proteins encoded by genes carried on plasmids or the genome indicated that genome recombination could minimize the copy number noise in the genetic circuit, allowing precise design and interpretation of the cellular network. The refined recombination procedure allowed efficient construction of a single copy of a complex genetic circuit in cells, and the resultant reduced fluctuation in copy number led to accurate phenotypic behaviour of the genome-integrated synthetic switch corresponding to the design principle. The availability of long-fragment insertions makes the reconstruction of complex networks easy on the genome, and provides a powerful tool for precise engineering in synthetic and systems biology.

摘要

遗传调控基因回路的重建目前应用于系统生物学中完整细胞网络的系统动力学和结构功能研究。我们提出了一种改良的方法,可将复杂的遗传回路整合到大肠杆菌基因组中,为遗传网络的随机研究和人工工程提供有效的合成方法。各种长度的线性人工序列可以很容易地一次整合到细菌基因组中。比较质粒或基因组上携带基因编码的蛋白质的细胞浓度表明,基因组重组可以使遗传回路中的拷贝数噪声最小化,从而可以精确设计和解释细胞网络。经过改进的重组过程可以有效地在细胞中构建单个复杂遗传回路的副本,并且由于拷贝数的波动减少,与设计原理相对应的基因组整合合成开关的表型行为更加准确。长片段插入的可用性使得在基因组上重建复杂网络变得容易,并且为合成和系统生物学中的精确工程提供了强大的工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验