Entus Robert, Aufderheide Brian, Sauro Herbert M
Keck Graduate Institute, Claremont, CA, 91711, USA,
Syst Synth Biol. 2007 Aug;1(3):119-28. doi: 10.1007/s11693-007-9008-6. Epub 2007 Nov 1.
Synthetic biology is a useful tool to investigate the dynamics of small biological networks and to assess our capacity to predict their behavior from computational models. In this work we report the construction of three different synthetic networks in Escherichia coli based upon the incoherent feed-forward loop architecture. The steady state behavior of the networks was investigated experimentally and computationally under different mutational regimes in a population based assay. Our data shows that the three incoherent feed-forward networks, using three different macromolecular inhibitory elements, reproduce the behavior predicted from our computational model. We also demonstrate that specific biological motifs can be designed to generate similar behavior using different components. In addition we show how it is possible to tune the behavior of the networks in a predicable manner by applying suitable mutations to the inhibitory elements.
合成生物学是研究小型生物网络动态以及评估我们从计算模型预测其行为能力的有用工具。在这项工作中，我们报告了基于非相干前馈环架构在大肠杆菌中构建的三种不同合成网络。在基于群体的实验中，研究了不同突变状态下这些网络的稳态行为，并进行了计算分析。我们的数据表明，使用三种不同大分子抑制元件的这三种非相干前馈网络再现了我们计算模型所预测的行为。我们还证明，可以设计特定的生物基序以使用不同组件产生相似行为。此外，我们展示了如何通过对抑制元件进行适当突变以可预测的方式调节网络行为。
