Shah Rushina, Del Vecchio Domitilla
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Proc IEEE Conf Decis Control. 2018 Dec;2018:6938-6944. doi: 10.1109/cdc.2018.8618649. Epub 2019 Jan 21.
Multistable dynamical systems are ubiquitous in nature, especially in the context of regulatory networks controlling cell fate decisions, wherein stable steady states correspond to different cell phenotypes. In the past decade, it has become experimentally possible to "reprogram" the fate of a cell by suitable externally imposed input stimulations. In several of these reprogramming instances, the underlying regulatory network has a known structure and often it falls in the class of cooperative monotone dynamical systems. In this paper, we therefore leverage this structure to provide concrete guidance on the choice of inputs that reprogram a cooperative dynamical system to a desired target steady state. Our results are parameter-independent and therefore can serve as a practical guidance to cell-fate reprogramming experiments.
多稳态动力系统在自然界中无处不在，尤其是在控制细胞命运决定的调控网络背景下，其中稳定的稳态对应于不同的细胞表型。在过去十年中，通过适当的外部施加输入刺激来“重新编程”细胞命运在实验上已成为可能。在这些重新编程的实例中，有几个潜在的调控网络具有已知结构，并且通常属于合作单调动力系统类别。因此，在本文中，我们利用这种结构为将合作动力系统重新编程到期望的目标稳态的输入选择提供具体指导。我们的结果与参数无关，因此可以作为细胞命运重新编程实验的实际指导。
