Information flow and optimization in transcriptional regulation
Information flow and optimization in transcriptional regulation
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DOI：
10.1073/pnas.0806077105
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发表时间：
2008-08-26
影响因子：
11.1
通讯作者：
Bialek, William
中科院分区：
文献类型：
--
作者：
Tkacik, Gasper;Callan, Curtis G., Jr.;Bialek, William
在转录调控的最简单观点中，基因的表达是通过转录因子（TF）浓度的变化来开启或关闭的。我们利用基因表达中噪音水平的最新数据表明，它应该有可能传递的不仅仅是一个调控位。实现这种最佳信息容量需要细胞使用的TF浓度动态范围、调控模块的输入/输出关系以及基因表达中的噪声满足一定的匹配关系，我们推导了这些匹配关系。这些结果提供了连接独立可测量量的无参数定量预测。虽然我们只考虑了单个基因响应单个TF的简化问题，但我们发现这些预测与最近在早期果蝇胚胎的Bicoid/Hunchback系统中进行的实验惊人地吻合，并且该系统实现了其理论最大信息传输的90%。
In the simplest view of transcriptional regulation, the expression of a gene is turned on or off by changes in the concentration of a transcription factor (TF). We use recent data on noise levels in gene expression to show that it should be possible to transmit much more than just one regulatory bit. Realizing this optimal information capacity would require that the dynamic range of TF concentrations used by the cell, the input/output relation of the regulatory module, and the noise in gene expression satisfy certain matching relations, which we derive. These results provide parameter-free, quantitative predictions connecting independently measurable quantities. Although we have considered only the simplified problem of a single gene responding to a single TF, we find that these predictions are in surprisingly good agreement with recent experiments on the Bicoid/Hunchback system in the early Drosophila embryo and that this system achieves similar to 90% of its theoretical maximum information transmission.