论文标题
细胞大小控制中的随机阈值
Stochastic threshold in cell size control
论文作者
论文摘要
细胞大小控制的经典模型考虑到达到阈值时的细胞分裂，例如大小，年龄或尺寸扩展。阈值的分子基础涉及多层调节以及基因噪声。在这项工作中，我们将细胞周期研究为具有随机阈值的第一阶段问题，并发现这种随机性会影响分段统计数据，这些统计数据支持尊重大小控制模型的类型的标准。分析结果表明，阈值中的自相关可以将Sizer模型驱动到类似于加法器甚至类似于计时器的跨分段统计量，并由模拟支持。遵循以下情况：阈值中的自相关可以传播到跨部门统计数据，我们进一步表明，当阈值负相关时，可以通过正相关的阈值将加法器模型通过正相关阈值驱动到类似于计时器的统计数据。这项工作突出了检查大小控制中基因噪声的重要性。
Classic models of cell size control consider cells divide while reaching a threshold, e.g. size, age, or size extension. The molecular basis of the threshold involves multiple layers of regulation as well as gene noises. In this work, we study cell cycle as first-passage problem with stochastic threshold and discover such stochasticity affects the inter-division statistics, which bewilders the criteria to distinguish the types of size control models. The analytic results show the autocorrelation in the threshold can drive a sizer model to the adder-like and even timer-like inter-division statistics, which is supported by simulations. Following the picture that the autocorrelation in the threshold can propagate to the inter-division statistics, we further show that the adder model can be driven to the timer-like one by positive autocorrelated threshold, and even to the sizer-like one when the threshold is negatively autocorrelated. This work highlights the importance to examine gene noise in size control.
