Benchmarking the communication fidelity of biomolecular signaling cascades featuring pseudo-one-dimensional transport
Benchmarking the communication fidelity of biomolecular signaling cascades featuring pseudo-one-dimensional transport
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DOI：
10.1063/1.5027508
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发表时间：
2018-05
期刊：
影响因子：
1.6
通讯作者：
P. Rana;K. Pilkiewicz;Michael L. Mayo;P. Ghosh
中科院分区：
文献类型：
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作者：
P. Rana;K. Pilkiewicz;Michael L. Mayo;P. Ghosh
合成生物学家奋进于预测多步信号级联的日益复杂性如何影响分子信号的保真度，从而有关细胞状态的信息通常与通过伪一维随机过程扩散的蛋白质一起传输。这就引出了一个问题，即细胞如何利用被动运输机制来区分信息信号和扩散的内在噪音。我们解决这个问题，通过使用一维漂移扩散模型推导出一个近似的下限的程度上的促进需要实现单比特的信息效率的信号级联作为其长度的函数。在我们的模型的假设，我们发现，一个通用的曲线的香农-哈特利形式描述的信息传输的信号链的任意长度，并取决于只有少量的物理可测量的参数。这使得我们的模型能够与实验测量结合使用，以帮助生物分子系统的选择性设计，即使在单细胞水平上，也可以克服噪声可靠地发挥作用。合成生物学家奋进预测多步信号级联的日益复杂性如何影响分子信号的保真度，由此关于细胞状态的信息通常通过通过伪一维随机过程扩散的蛋白质来传递。这就引出了一个问题，即细胞如何利用被动运输机制来区分信息信号和扩散的内在噪音。我们解决这个问题，通过使用一维漂移扩散模型推导出一个近似的下限的程度上的促进需要实现单比特的信息效率的信号级联作为其长度的函数。在我们的模型的假设，我们发现，一个通用的曲线的香农-哈特利形式描述的信息传输的信号链的任意长度，并取决于只有少量的物理可测量的参数。这使得我们的模型能够与实验测量结合使用，以...
Synthetic biologists endeavor to predict how the increasing complexity of multi-step signaling cascades impacts the fidelity of molecular signaling, whereby information about the cellular state is often transmitted with proteins that diffuse by a pseudo-one-dimensional stochastic process. This begs the question of how the cell leverages passive transport mechanisms to distinguish informative signals from the intrinsic noise of diffusion. We address this problem by using a one-dimensional drift-diffusion model to derive an approximate lower bound on the degree of facilitation needed to achieve single-bit informational efficiency in signaling cascades as a function of their length. Within the assumptions of our model, we find that a universal curve of the Shannon-Hartley form describes the information transmitted by a signaling chain of arbitrary length and depends upon only a small number of physically measurable parameters. This enables our model to be used in conjunction with experimental measurements to aid in the selective design of biomolecular systems that can overcome noise to function reliably, even at the single-cell level.Synthetic biologists endeavor to predict how the increasing complexity of multi-step signaling cascades impacts the fidelity of molecular signaling, whereby information about the cellular state is often transmitted with proteins that diffuse by a pseudo-one-dimensional stochastic process. This begs the question of how the cell leverages passive transport mechanisms to distinguish informative signals from the intrinsic noise of diffusion. We address this problem by using a one-dimensional drift-diffusion model to derive an approximate lower bound on the degree of facilitation needed to achieve single-bit informational efficiency in signaling cascades as a function of their length. Within the assumptions of our model, we find that a universal curve of the Shannon-Hartley form describes the information transmitted by a signaling chain of arbitrary length and depends upon only a small number of physically measurable parameters. This enables our model to be used in conjunction with experimental measurements to...