硅胶中的细胞生长和尺寸稳态
Cell Growth and Size Homeostasis in Silico
摘要：
细胞大小的增长是一个由内在和环境信号协调的复杂过程。在最近的工作[Tzur等人，Science，2009，325：167-171]，使用指数增长的哺乳动物细胞群体中的大小分布来推断大小的增长速率。结果表明，细胞生长既不是线性的，也不是指数的，但受到大小依赖性调节。为了解释他们的数据，我们建立了一个模型，其中细胞生长速率由细胞中mRNA和核糖体的相对数量控制。加上随机分裂规则，可以模拟细胞群体的进化过程，计算机种群的统计数据与实验数据吻合得很好。为了进一步探索模型空间，研究了可供选择的增长模型和划分规则。这项工作可以作为一个起点，让我们了解背后的合理细胞生长和大小调节使用预测模型。
英文摘要：
Cell growth in size is a complex process coordinated by intrinsic and environmental signals. In a recent work [Tzur et al., Science, 2009, 325:167-171], size distributions in an exponentially growing population of mammalian cells were used to infer the growth rate in size. The results suggest that cell growth is neither linear nor exponential, but subject to size-dependent regulation. To explain their data, we build a model in which the cell growth rate is controlled by the relative amount of mRNA and ribosomes in a cell. Plus a stochastic division rule, the evolutionary process of a population of cells can be simulated and the statistics of the in-silico population agree well with the experimental data. To further explore the model space, alternative growth models and division rules are studied. This work may serve as a starting point for us to understand the rational behind cell growth and size regulation using predictive models.
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