An age structured model (Euler-Lotka equation) accurately predicts population growth rates of both HCT116 and U2OS cells before cisplatin treatment.

Shown here are deviations (in %) of growth rates predicted by either the Euler-Lotka equation or the inverse of the mean IMT, from the experimentally measured growth rate (obtained via linear regression of the cell-population versus time curve in Fig 2a and 2d). The growth rate prediction by the Euler-Lotka equation for HCT116 cells is within ∼11% of the error expected from age-structured population simulations with the inferred starting age-distributions. For the U2OS cells, the predictions are off by about ∼ 20%.

本数据集呈现了两类方法预测的生长速率相对于实验测得生长速率的百分比偏差：两类方法分别为欧拉-洛特卡方程（Euler-Lotka equation）与平均间期时长（intermitotic time, IMT）的倒数；其中实验测得的生长速率通过对图2a与图2d中的细胞群体-时间曲线进行线性回归得到。针对HCT116细胞系，欧拉-洛特卡方程的生长速率预测结果与采用推断得到的初始年龄分布开展年龄结构群体模拟所得到的预期误差相差在~11%以内。而对于U2OS细胞系，其预测结果与实验值的偏差约为~20%。