论文标题
具有突变的随机干细胞模型：不对称和对称分裂的比较
Stochastic stem cell models with mutation: A comparison of asymmetric and symmetric divisions
论文作者
论文摘要
为了通过细胞层次结构实现细胞增殖和分化，干细胞可以进行不对称或对称分裂。最近的研究特别注意干细胞分裂模式对癌症终生风险的影响，并报告对称分裂对延迟癌症的发作更为有益。对称分裂的命运不确定性被认为是造成癌症效应的原因。在本文中，我们通过研究具有突变的随机干细胞模型来比较干细胞的不对称和对称分裂。特别是，通过使用严格的数学分析，我们发现不对称模型均显示出相同的统计平均值，但是对称模型比不对称模型显示出更高的波动。我们进一步表明，对于较低的突变率，这两个模型之间的差异将更加显着。我们的工作量化了细胞分裂的不确定性，并突出了随机性对区分干细胞分裂不同模式的重要性。
In order to fulfill cell proliferation and differentiation through cellular hierarchy, stem cells can undergo either asymmetric or symmetric divisions. Recent studies pay special attention to the effect of different modes of stem cell division on the lifetime risk of cancer, and report that symmetric division is more beneficial to delay the onset of cancer. The fate uncertainty of symmetric division is considered to be the reason for the cancer-delaying effect. In this paper we compare asymmetric and symmetric divisions of stem cells via studying stochastic stem cell models with mutations. Specially, by using rigorous mathematical analysis we find that both asymmetric and symmetric models show the same statistical average, but symmetric model shows higher fluctuation than asymmetric model. We further show that the difference between the two models would be more remarkable for lower mutation rates. Our work quantifies the uncertainty of cell division and highlights the significance of stochasticity for distinguishing between different modes of stem cell division.
