Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cell Syst. 2021 Jun 16;12(6):561-592. doi: 10.1016/j.cels.2021.05.011.
The rise of systems biology has ushered a new paradigm: the view of the cell as a system that processes environmental inputs to drive phenotypic outputs. Synthetic biology provides a complementary approach, allowing us to program cell behavior through the addition of synthetic genetic devices into the cellular processor. These devices, and the complex genetic circuits they compose, are engineered using a design-prototype-test cycle, allowing for predictable device performance to be achieved in a context-dependent manner. Within mammalian cells, context effects impact device performance at multiple scales, including the genetic, cellular, and extracellular levels. In order for synthetic genetic devices to achieve predictable behaviors, approaches to overcome context dependence are necessary. Here, we describe control systems approaches for achieving context-aware devices that are robust to context effects. We then consider cell fate programing as a case study to explore the potential impact of context-aware devices for regenerative medicine applications.
将细胞视为一个系统,该系统可以处理环境输入以驱动表型输出。合成生物学提供了一种互补的方法,使我们能够通过向细胞处理器中添加合成遗传设备来编程细胞行为。这些设备及其组成的复杂遗传电路是使用设计-原型-测试循环来构建的,这使得可以以依赖于上下文的方式实现可预测的设备性能。在哺乳动物细胞中,上下文效应对设备性能的影响在多个尺度上,包括遗传、细胞和细胞外水平。为了使合成遗传设备能够实现可预测的行为,需要克服上下文相关性的方法。在这里,我们描述了实现上下文感知设备的控制系统方法,这些设备对上下文效应具有鲁棒性。然后,我们将细胞命运编程作为案例研究来探索上下文感知设备在再生医学应用中的潜在影响。