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Landscape and flux govern cellular mode-hopping between oscillations

机译:景观和磁通量控制振荡之间的蜂窝模式跳跃

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Recently, a "mode-hopping" phenomenon has been observed in a NF-kappa B gene regulatory network with oscillatory tumor necrosis factor (TNF) inputs. It was suggested that noise facilitates the switch between different oscillation modes. However, the underlying mechanism of this noise-induced "cellular mode-hopping" behavior remains elusive. We employed a landscape and flux approach to study the stochastic dynamics and global stability of the NF-kappa B regulatory system. We used a truncated moment equation approach to calculate the probability distribution and potential landscape for gene regulatory systems. The potential landscape of the NF-kappa B system exhibits a "double ring valley" shape. Barrier heights from landscape topography provide quantitative measures of the global stability and transition feasibility of the double oscillation system. We found that the landscape and flux jointly govern the dynamical "mode-hopping" behavior of the NF-kappa B regulatory system. The landscape attracts the system into a "double ring valley," and the flux drives the system to move cyclically. As the external noise increases, relevant barrier heights decrease, and the flux increases. As the amplitude of the TNF input increases, the flux contribution, from the total driving force, increases and the system behavior changes from one to two cycles and ultimately to chaotic dynamics. Therefore, the probabilistic flux may provide an origin of chaotic behavior. We found that the height of the peak of the power spectrum of autocorrelation functions and phase coherence is correlated with barrier heights of the landscape and provides quantitative measures of global stability of the system under intrinsic fluctuations.
机译:最近,在NF-Kappa B基因调节网络中观察到“模式跳跃”现象,其具有振荡肿瘤坏死因子(TNF)输入。建议噪声有助于不同振荡模式之间的开关。然而,这种噪声引起的“蜂窝模式跳跃”行为的潜在机制仍然是难以捉摸的。我们采用了景观和助焊剂方法来研究NF-Kappa监管系统的随机动力和全球稳定性。我们使用了截断的时刻方程方法来计算基因监管系统的概率分布和潜在景观。 NF-Kappa B系统的潜在景观呈现“双环谷”形状。来自景观地形的屏障高度提供了双振荡系统的全局稳定性和过渡可行性的定量测量。我们发现景观和助焊剂共同管理NF-Kappa监管系统的动态“模式跳跃”行为。景观将系统吸引到“双环谷”中,磁通驱动系统循环移动。随着外部噪声的增加,相关的屏障高度降低,并且磁通量增加。随着TNF输入的幅度增加,来自总驱动力,增加和系统行为的磁通量贡献从一个到两个周期变化,最终发生混乱动态。因此,概率助焊剂可以提供混沌行为的起源。我们发现,自相关函数和相位相干性的功率谱的峰值高度与景观的屏障高度相关,并在内在波动下提供系统的全局稳定性的定量测量。

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