优化小型遗传网络中的信息流。II：前馈交互
Optimizing information flow in small genetic networks. II: Feed forward interactions
摘要：
活细胞功能的核心是其控制基因组中编码的信息的读出或表达的能力。在许多情况下，单个转录因子蛋白激活或抑制许多基因的表达。当转录因子的浓度变化时，靶基因因此经历相关的变化，并且这种冗余限制了细胞传递关于输入信号的信息的能力。我们探讨了靶基因之间的相互作用如何减少这种冗余并优化信息传递。我们的讨论建立在最近的工作[Tkacik et al，Phys Rev E 80，031920（2009）]上，并且与关于侧抑制在增强神经回路中信息传输效率中的作用的更早的工作有联系;为了简单起见，我们在这里考虑相互作用具有前馈结构的情况，没有环路。即使有这样的限制，优化信息传输的网络也有一个让人想起真实生物系统中网络的结构。
英文摘要：
Central to the functioning of a living cell is its ability to control the readout or expression of information encoded in the genome. In many cases, a single transcription factor protein activates or represses the expression of many genes. As the concentration of the transcription factor varies, the target genes thus undergo correlated changes, and this redundancy limits the ability of the cell to transmit information about input signals. We explore how interactions among the target genes can reduce this redundancy and optimize information transmission. Our discussion builds on recent work [Tkacik et al, Phys Rev E 80, 031920 (2009)], and there are connections to much earlier work on the role of lateral inhibition in enhancing the efficiency of information transmission in neural circuits; for simplicity we consider here the case where the interactions have a feed forward structure, with no loops. Even with this limitation, the networks that optimize information transmission have a structure reminiscent of the networks found in real biological systems.
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