论文标题
用宿主电路模型预测细胞负担
Prediction of cellular burden with host-circuit models
论文作者
论文摘要
异源基因表达从宿主细胞中获取资源。这些资源包括维持增长和复制的重要组成部分，在强大电路设计中，由此产生的细胞负担是公认的瓶颈。在本教程中，我们讨论了整合基因回路和宿主细胞生理学的计算模型的使用。通过各种用例，我们说明了宿主电路模型的功能，以预测设计参数对负担和电路功能的影响。我们的方法依赖于新一代的微生物生长计算模型，该模型可以灵活地适应基因电路设计中遇到的资源瓶颈。采用这种建模范式可以促进合成生物学中的快速，强大的设计周期。
Heterologous gene expression draws resources from host cells. These resources include vital components to sustain growth and replication, and the resulting cellular burden is a widely recognised bottleneck in the design of robust circuits. In this tutorial we discuss the use of computational models that integrate gene circuits and the physiology of host cells. Through various use cases, we illustrate the power of host-circuit models to predict the impact of design parameters on both burden and circuit functionality. Our approach relies on a new generation of computational models for microbial growth that can flexibly accommodate resource bottlenecks encountered in gene circuit design. Adoption of this modelling paradigm can facilitate fast and robust design cycles in synthetic biology.
