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模块化电路用于基因转录的理性设计:对自下而上方法的检验。

Rational design of modular circuits for gene transcription: A test of the bottom-up approach.

机构信息

Laboratory of Cellular and Molecular Engineering, University of Bologna, I-47521 Cesena, Italy.

Department of Electronics, Computer Science and Systems, University of Bologna, I-47521 Cesena, Italy.

出版信息

J Biol Eng. 2010 Nov 11;4:14. doi: 10.1186/1754-1611-4-14.

Abstract

BACKGROUND

Most of synthetic circuits developed so far have been designed by an ad hoc approach, using a small number of components (i.e. LacI, TetR) and a trial and error strategy. We are at the point where an increasing number of modular, inter-changeable and well-characterized components is needed to expand the construction of synthetic devices and to allow a rational approach to the design.

RESULTS

We used interchangeable modular biological parts to create a set of novel synthetic devices for controlling gene transcription, and we developed a mathematical model of the modular circuits. Model parameters were identified by experimental measurements from a subset of modular combinations. The model revealed an unexpected feature of the lactose repressor system, i.e. a residual binding affinity for the operator site by induced lactose repressor molecules. Once this residual affinity was taken into account, the model properly reproduced the experimental data from the training set. The parameters identified in the training set allowed the prediction of the behavior of networks not included in the identification procedure.

CONCLUSIONS

This study provides new quantitative evidences that the use of independent and well-characterized biological parts and mathematical modeling, what is called a bottom-up approach to the construction of gene networks, can allow the design of new and different devices re-using the same modular parts.

摘要

背景

迄今为止开发的大多数合成电路都是通过一种特定的方法,使用少量的组件(例如 LacI、TetR)和反复试验的策略设计的。我们正处在需要越来越多的模块化、可互换和特征良好的组件来扩展合成器件的构建并允许对设计进行合理的方法的阶段。

结果

我们使用可互换的模块化生物部件来创建一组用于控制基因转录的新型合成设备,并开发了模块化电路的数学模型。模型参数是通过从模块化组合的子集进行实验测量来确定的。该模型揭示了乳糖阻遏物系统的一个意外特征,即诱导的乳糖阻遏物分子对操纵子位点仍具有残留的结合亲和力。一旦考虑到这种残留亲和力,该模型就可以正确再现训练集的实验数据。在训练集中确定的参数允许预测不在识别过程中的网络的行为。

结论

这项研究提供了新的定量证据,表明使用独立且特征良好的生物部件和数学建模(所谓的构建基因网络的自下而上方法)可以设计重新使用相同模块化部件的新型和不同设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37c2/2993646/563395a53ffe/1754-1611-4-14-1.jpg

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