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Cell Volume Distributions in Exponentially Growing Populations

机译:指数增长的群体中的细胞体积分布

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Stochastic effects in cell growth and division drive variability in cellular volumes both at the single-cell level and at the level of growing cell populations. Here we consider a simple and tractable model in which cell volumes grow exponentially, cell division is symmetric, and its rate is volume-dependent. Consistently with previous observations, the model is shown to sustain oscillatory behaviour with alternating phases of slow and fast growth. Exact simulation algorithms and large-time asymptotics are developed and cross-validated for the single-cell and whole-population formulations of the model. The two formulations are shown to provide similar results during the phases of slow growth, but differ during the fast-growth phases. Specifically, the single-cell formulation systematically underestimates the proportion of small cells. More generally, our results suggest that measurable characteristics of cells may follow different distributions depending on whether a single-cell lineage or an entire population is considered.
机译:细胞生长和分裂的随机效应在单细胞水平和在不断增长的细胞群体水平上都驱动细胞体积的可变性。在这里,我们考虑一个简单且易于处理的模型,其中细胞体积呈指数增长,细胞分裂是对称的,其速率与体积有关。与以前的观察一致,该模型显示出以缓慢和快速生长的交替阶段维持振荡行为。针对该模型的单细胞和全种群配方,开发并交叉验证了精确的仿真算法和长时间渐近线。两种配方在慢速生长阶段显示出相似的结果,而在快速生长阶段则有所不同。具体而言,单细胞配方系统性地低估了小细胞的比例。更普遍地,我们的结果表明,取决于是否考虑单细胞谱系或整个种群,细胞的可测量特征可能遵循不同的分布。

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