首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Frequency domain analysis of noise in autoregulated gene circuits.
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Frequency domain analysis of noise in autoregulated gene circuits.

机译:自动调节基因电路中噪声的频域分析。

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We describe a frequency domain technique for the analysis of intrinsic noise within negatively autoregulated gene circuits. This approach is based on the transfer function around the feedback loop (loop transmission) and the equivalent noise bandwidth of the system. The loop transmission, T, is shown to be a determining factor of the dynamics and the noise behavior of autoregulated gene circuits, and this T-based technique provides a simple and flexible method for the analysis of noise arising from any source within the gene circuit. We show that negative feedback not only reduces the variance of the noise in the protein concentration, but also shifts this noise to higher frequencies where it may have a negligible effect on the noise behavior of following gene circuits within a cascade. This predicted effect is demonstrated through the exact stochastic simulation of a two-gene cascade. The analysis elucidates important aspects of gene circuit structure that control functionality, and may provide some insights into selective pressures leading to this structure. The resulting analytical relationships have a simple form, making them especially useful as synthetic gene circuit design equations. With the exception of the linearization of Hill kinetics, this technique is general and may be applied to the analysis or design of networks of higher complexity. This utility is demonstrated through the exact stochastic simulation of an autoregulated two-gene cascade operating near instability.
机译:我们描述了一种频域技术,用于分析负自调控基因电路内的固有噪声。这种方法基于反馈环路(环路传输)周围的传递函数和系统的等效噪声带宽。环路传输T被证明是自动调节基因电路的动力学和噪声行为的决定因素,并且这种基于T的技术为分析基因电路内任何来源产生的噪声提供了一种简单而灵活的方法。 。我们表明负反馈不仅减少了蛋白质浓度中噪声的方差,而且还将这种噪声转移到了更高的频率,在高频中它对级联中后续基因电路的噪声行为的影响可忽略不计。通过两基因级联的精确随机模拟证明了这种预测的效果。该分析阐明了控制功能的基因电路结构的重要方面,并可能提供一些导致这种结构的选择性压力的见解。所得的分析关系具有简单的形式,使其特别适合用作合成基因电路设计方程式。除了希尔动力学的线性化之外,该技术是通用的,可以应用于分析或设计更高复杂度的网络。通过对近似不稳定的自动调节的两基因级联的精确随机模拟,可以证明该实用程序。

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