Efficient Sampling of Bacterial Signal Transduction for Detection of Pulse-Amplitude Modulated Molecular Signals
Efficient Sampling of Bacterial Signal Transduction for Detection of Pulse-Amplitude Modulated Molecular Signals
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DOI：
10.1109/tbcas.2015.2465182
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发表时间：
2015-08-01
影响因子：
5.1
通讯作者：
Forest, Craig R.
中科院分区：
文献类型：
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作者：
Bicen, A. Ozan;Austin, Caitlin M.;Forest, Craig R.
研究细菌信号转导的采样以进行分子通讯 (MC)。假设某种类型分子的有限持续时间幅度调制（即脉冲幅度调制（PAM））浓度用于信息传输。细菌信号通路被修改以将输入分子转导为输出信号，即产生绿色荧光蛋白（GFP）。细菌信号转导由一组生化反应组成，这些反应给反应带来了随机性。因此，细菌反应的输入-输出关系、时间问题和噪声效应是基于分析和实验观察来表征的。根据总响应持续时间、峰值、上升斜率和下降斜率提出原始细菌响应的采样方案。每个采样方案都显示提供输入的一对一和单调函数。基于斜坡上升斜率的采样在统计上显示有利于 PAM 分子信号的检测。因此，研究了时间间隔选择和非相干采样，以便根据原始细菌响应有效计算斜坡上升斜率。这项工作为原始细菌反应的采样提供了基础，并能够通过细菌反应准确检测 PAM 分子信号，用于 MC 和传感应用。
The sampling of the bacterial signal transduction is investigated for molecular communication (MC). It is assumed that the finite-duration amplitude modulated, i.e., pulse-amplitude modulated (PAM), concentration of a certain type of molecule is used for information transmission. The bacterial signaling pathway is modified to transduce the input molecules to the output signal, i.e., produce green fluorescent protein (GFP). The bacterial signal transduction is composed of a set of biochemical reactions which impose randomness on the response. Therefore, the input-output relation, the timing issues, and the noise effects for the bacteria response are characterized based on both analytical and experimental observations. Sampling schemes for the raw bacteria response are proposed based on the total response duration, the peak value, the ramp-up slope, and the ramp-down slope. Each sampling scheme is shown to be providing a one-to-one and monotonic function of the input. The sampling based on the ramp-up slope is shown to be statistically favorable for the detection of PAM molecular signals. Accordingly, the time interval selection and non-coherent sampling are studied for the efficient calculation of the ramp-up slope from the raw bacteria response. This work provides a basis for the sampling of the raw bacteria response and enables accurate detection of PAM molecular signals via bacterial response for MC and sensing applications.