Universal protein distributions in a model of cell growth and division
Universal protein distributions in a model of cell growth and division
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DOI：
10.1103/physreve.92.042713
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发表时间：
2015-10-23
影响因子：
2.4
通讯作者：
Stein, D. L.
中科院分区：
文献类型：
--
作者：
Brenner, Naama;Newman, C. M.;Stein, D. L.
在细菌和酵母的广泛条件下测量的蛋白质分布显示出一种常见的歪斜形状，其方差取决于平均值。对于细菌来说，这些特性是通过蛋白质含量的时间测量再现的，显示出代际积累和分裂。在这里，我们提出了一个带有反馈的随机生长和分割模型，该模型捕获了这些观察到的特性。精确计算了极限拷贝数分布，并找到了确定分布形状和方差-均值关系的单一参数。从细菌时间数据估计该参数可以高精度地再现测量的分布形状，并可以预测未来的实验。
Protein distributions measured under a broad set of conditions in bacteria and yeast were shown to exhibit a common skewed shape, with variances depending quadratically on means. For bacteria these properties were reproduced by temporal measurements of protein content, showing accumulation and division across generations. Here we present a stochastic growth-and-division model with feedback which captures these observed properties. The limiting copy number distribution is calculated exactly, and a single parameter is found to determine the distribution shape and the variance-to-mean relation. Estimating this parameter from bacterial temporal data reproduces the measured distribution shape with high accuracy and leads to predictions for future experiments.