Automated Design of Genetic Toggle Switches with Predetermined Bistability

被引:26
作者
Chen, Shuobing [1 ,2 ,3 ]
Zhang, Haoqian [1 ,2 ,3 ]
Shi, Handuo [1 ,2 ,3 ]
Ji, Weiyue [3 ]
Feng, Jingchen [3 ]
Gong, Yan [3 ]
Yang, Zhenglin [3 ]
Ouyang, Qi [1 ,2 ,4 ]
机构
[1] Peking Univ, Sch Phys, Ctr Quantitat Biol, Beijing 100871, Peoples R China
[2] Peking Univ, Sch Phys, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[3] Peking Univ, Sch Phys, Peking Univ Team Int Genet Engn Machine Competit, Beijing 100871, Peoples R China
[4] Peking Univ, Sch Phys, State Key Lab Artificial Microstruct & Mesoscop P, Beijing 100871, Peoples R China
来源
ACS SYNTHETIC BIOLOGY | 2012年 / 1卷 / 07期
关键词
genetic toggle switch; RBS calculator; rational design; stochastic model; SYNTHETIC BIOLOGY; FLUCTUATING ENVIRONMENTS; SPATIOTEMPORAL CONTROL; LOGIC GATES; EXPRESSION; CONSTRUCTION; OSCILLATOR; DIVERSITY; NETWORKS; DEVICES;
D O I
10.1021/sb300027y
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Synthetic biology aims to rationally construct biological devices with required functionalities. Methods that automate the design of genetic devices without post-hoc adjustment are therefore highly desired. Here we provide a method to predictably design genetic toggle switches with predetermined bistability. To accomplish this task, a biophysical model that links ribosome binding site (RBS) DNA sequence to toggle switch bistability was first developed by integrating a stochastic model with RBS design method. Then, to parametrize the model, a library of genetic toggle switch mutants was experimentally built, followed by establishing the equivalence between RBS DNA sequences and switch bistability. To test this equivalence, RBS nucleotide sequences for different specified bistabilities were in silk designed and experimentally verified. Results show that the deciphered equivalence is highly predictive for the toggle switch design with predetermined bistability. This method can be generalized to quantitative design of other probabilistic genetic devices in synthetic biology.
引用
收藏
页码:284 / 290
页数:7
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