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An Artificial Tissue Homeostasis Circuit Designed via Analog Circuit Techniques

机译:通过模拟电路技术设计的人造组织稳态电路

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Tissue homeostasis (feedback control) is an important mechanism that regulates the population of different cell types within a tissue. In type-1 diabetes, auto-immune attack and consequent death of pancreatic beta cells result in the failure of homeostasis and loss of organ function. Synthetically engineered adult stem cells with homeostatic control based on digital logic have been proposed as a solution for regenerating beta cells. Such previously proposed homeostatic control circuits have thus far been unable to reliably control both stem-cell proliferation and stem-cell differentiation. Using analog circuits and feedback systems analysis, we have designed an in silico circuit that performs homeostatic control by utilizing a novel scheme with both symmetric and asymmetric division of stem cells. The use of a variety of feedback systems analysis techniques, which is common in analog circuit design, including root-locus techniques, Bode plots of feedback-loop frequency response, compensation techniques for improving stability, and robustness analysis help us choose design parameters to meet desirable specifications. For example, we show that lead compensation in analog circuits instantiated as an incoherent feed-forward loop in the biological circuit improves stability, whereas simultaneously reducing steady-state tracking error. Our symmetric and asymmetric division scheme also improves phase margin in the feedback loop, and thus improves robustness. This paper could be useful in porting an analog-circuit design framework to synthetic biological applications of the future.
机译:组织动态平衡(反馈控制)是调节组织内不同细胞类型的种群的重要机制。在1型糖尿病中,自身免疫攻击以及随之而来的胰腺β细胞死亡会导致体内稳态失败和器官功能丧失。已经提出了基于数字逻辑的具有稳态控制的合成工程成人干细胞,作为再生β细胞的解决方案。迄今为止,这种先前提出的稳态控制电路无法可靠地控制干细胞增殖和干细胞分化。通过使用模拟电路和反馈系统分析,我们设计了一种insilico电路,该电路通过利用具有干细胞对称和不对称分裂功能的新型方案执行稳态控制。模拟电路设计中常见的各种反馈系统分析技术的使用,包括根轨迹技术,反馈环路频率响应的波特图,用于提高稳定性的补偿技术以及鲁棒性分析,有助于我们选择设计参数来满足理想的规格。例如,我们表明,作为生物电路中非相干前馈环路实例化的模拟电路中的超前补偿可提高稳定性,同时还能减少稳态跟踪误差。我们的对称和非对称划分方案还改善了反馈环路中的相位裕度,从而提高了鲁棒性。本文对于将模拟电路设计框架移植到未来的合成生物学应用中可能很有用。

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