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类开关跃迁将网络基元隔离以模块化生物网络。

Switch-like Transitions Insulate Network Motifs to Modularize Biological Networks.

机构信息

Department of Biology, Stanford University, Stanford, CA 94305, USA.

Department of Biology, Stanford University, Stanford, CA 94305, USA.

出版信息

Cell Syst. 2016 Aug;3(2):121-132. doi: 10.1016/j.cels.2016.06.010. Epub 2016 Jul 21.

Abstract

Cellular decisions are made by complex networks that are difficult to analyze. Although it is common to analyze smaller sub-networks known as network motifs, it is unclear whether this is valid, because these motifs are embedded in complex larger networks. Here, we address the general question of modularity by examining the S. cerevisiae pheromone response. We demonstrate that the feedforward motif controlling the cell-cycle inhibitor Far1 is insulated from cell-cycle dynamics by the positive feedback switch that drives reentry to the cell cycle. Before cells switch on positive feedback, the feedforward motif model predicts the behavior of the larger network. Conversely, after the switch, the feedforward motif is dismantled and has no discernable effect on the cell cycle. When insulation is broken, the feedforward motif no longer predicts network behavior. This work illustrates how, despite the interconnectivity of networks, the activity of motifs can be insulated by switches that generate well-defined cellular states.

摘要

细胞决策是由复杂的网络做出的,这些网络很难进行分析。虽然分析较小的子网络(称为网络基元)是常见的做法,但目前尚不清楚这种做法是否有效,因为这些基元都嵌入在复杂的更大的网络中。在这里,我们通过研究酿酒酵母的信息素反应来解决模块性的一般问题。我们证明,控制细胞周期抑制剂 Far1 的前馈基元通过驱动重新进入细胞周期的正反馈开关与细胞周期动力学隔离开来。在细胞开启正反馈之前,前馈基元模型预测了更大网络的行为。相反,在开关之后,前馈基元被拆除,对细胞周期没有明显影响。当隔离开关被打破时,前馈基元不再预测网络行为。这项工作说明了尽管网络是相互连接的,但通过产生明确的细胞状态的开关,基元的活动可以被隔离开来。

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