Distributed implementation of the genetic double-branch structure in Escherichia coli  被引量:1

Distributed implementation of the genetic double-branch structure in Escherichia coli

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作  者:Mei Chen Lu Zhang Jin Xu 

机构地区:[1]Key Laboratory of High Confidence Software Technologies of Ministry of Education, School of Electronics Engineering and Computer Science, Peking University [2]School of Information Engineering, Minzu University of China

出  处:《Chinese Science Bulletin》2014年第33期4625-4630,共6页

基  金:supported by the National Basic Research Program of China(2013CB329601 and 2013CB329602);the National Natural Science Foundation of China(61127005,60974112,30970960,60910002,60971085,and 61100055)

摘  要:Because of the simplicity of cells, the key to building biological computing systems may lie in constructing distributed systems based on cell–cell communication. Guided by a mathematical model, in this study we designed,simulated, and constructed a genetic double-branch structure in the bacterium Escherichia coli. This genetic double-branch structure is composed of a control cell and two reporter cells.The control cell can activate different reporter cells according to the input. Two quorum-sensing signal molecules, 3OC12-HSL and C4-HSL, form the wires between the control cell and the reporter cells. This study is a step toward scalable biological computation, and it may have many potential applications in biocomputing, biosensing, and biotherapy.Because of the simplicity of cells, the key to building biological computing systems may lie in constructing distributed systems based on cell-cell communication. Guided by a mathematical model, in this study we designed, simulated, and constructed a genetic double-branch structure in the bacterium Escherichia coli. This genetic double-branch structure is composed of a control cell and two reporter cells. The control cell can activate different reporter cells according to the input. Two quorum-sensing signal molecules, 3OC12- HSL and C4-HSL, form the wires between the control cell and the reporter cells. This study is a step toward scalable biological computation, and it may have many potential applications in biocomputing, biosensing, and biotherapy.

关 键 词:分布式系统 分支结构 大肠杆菌 遗传 控制单元 生物计算 计算系统 数学模型 

分 类 号:Q78[生物学—分子生物学] TP393[自动化与计算机技术—计算机应用技术]

 

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