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Operating principles of circular toggle polygons

机译:圆形切换多边形的操作原理

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Decoding the dynamics of cellular decision-making and cell differentiation is a central question in cell and developmental biology. A common network motif involved in many cell-fate decisions is a mutually inhibitory feedback loop between two self-activating 'master regulators' A and B, also called as toggle switch. Typically, it can allow for three stable states-(high A, low B), (low A, high B) and (medium A, medium B). A toggle triad-three mutually repressing regulators A, B and C, i.e. three toggle switches arranged circularly (between A and B, between B and C, and between A and C)-can allow for six stable states: three 'single positive' and three 'double positive' ones. However, the operating principles of larger toggle polygons, i.e. toggle switches arranged circularly to form a polygon, remain unclear. Here, we simulate using both discrete and continuous methods the dynamics of different sized toggle polygons. We observed a pattern in their steady state frequency depending on whether the polygon was an even or odd numbered one. The even-numbered toggle polygons result in two dominant states with consecutive components of the network expressing alternating high and low levels. The odd-numbered toggle polygons, on the other hand, enable more number of states, usually twice the number of components with the states that follow 'circular permutation' patterns in their composition. Incorporating self-activations preserved these trends while increasing the frequency of multistability in the corresponding network. Our results offer insights into design principles of circular arrangement of regulatory units involved in cell-fate decision making, and can offer design strategies for synthesizing genetic circuits.
机译:解码细胞决策和细胞分化的动力学是细胞和发育生物学的核心问题。在许多细胞命运决定中,一个常见的网络模式是两个自我激活的“主调节器”A和B之间的相互抑制的反馈回路,也称为切换开关。通常,它可以允许三种稳定状态(高A、低B)、(低A、高B)和(中A、中B)。开关三元组三个相互抑制的调节器A、B和C,即三个循环排列的开关(A和B之间、B和C之间以及A和C之间),可以允许六种稳定状态:三种“单正”和三种“双正”状态。然而,较大的切换多边形(即圆形排列形成多边形的切换开关)的工作原理仍不清楚。在这里,我们使用离散和连续方法模拟不同大小的切换多边形的动力学。我们观察到它们的稳态频率模式取决于多边形是偶数还是奇数。偶数切换多边形导致两种主导状态,网络的连续组件表示交替的高电平和低电平。另一方面,奇数切换多边形可以实现更多的状态,通常是组件数量的两倍,组件的状态遵循“循环排列”模式。结合自我激活保留了这些趋势,同时增加了相应网络中的多稳态频率。我们的研究结果对参与细胞命运决策的调控单元的循环排列的设计原则提供了见解,并可以为合成基因电路提供设计策略。

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