遗传网络读数中的比特交换
Trading bits in the readout from a genetic network
AI总结：
该研究以果蝇早期胚胎间隙基因网络为例，探索遗传网络中浓度测量精度比特数与可提取相关信息比特数的交换，发现细胞提取位置信息需测量接近物理限制，且增强子增殖必要但无需参数微调。
摘要：
在遗传网络中，与生物体相关的信息由转录因子分子的浓度表示。为了提取这些信息，细胞必须有效“测量”这些浓度，但这些测量的精度存在物理限制。我们以果蝇早期胚胎中的间隙基因网络为例，探索浓度测量精度的比特数与可提取的相关信息比特数之间的这种交换。我们认为，胚胎中的细胞可以提取关于其位置的所有可用信息，但前提是浓度测量接近信息容量的物理限制。这些限制使得观察到的对转录因子组合敏感的增强子元件增殖成为必要，但不需要对这些多个增强子的参数进行微调。
英文摘要：
In genetic networks, information of relevance to the organism is represented by the concentrations of transcription factor molecules. In order to extract this information the cell must effectively "measure"' these concentrations, but there are physical limits to the precision of these measurements. We explore this trading between bits of precision in measuring concentration and bits of relevant information that can be extracted, using the gap gene network in the early fly embryo as an example. We argue that cells in the embryo can extract all the available information about their position, but only if the concentration measurements approach the physical limits to information capacity. These limits necessitate the observed proliferation of enhancer elements with sensitivities to combinations of transcription factors, but fine tuning of the parameters of these multiple enhancers is not required.
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