Ubiquity of log-normal distributions in intra-cellular reaction dynamics.
Ubiquity of log-normal distributions in intra-cellular reaction dynamics.
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DOI：
10.2142/biophysics.1.25
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Kaneko K
中科院分区：
文献类型：
--
作者：
Furusawa C;Suzuki T;Kashiwagi A;Yomo T;Kaneko K
本文报道了关于递归生长的细胞动力学的两个基本定律的发现。首先，在许多细胞上测量的化学丰度被发现服从对数正态分布，其次，丰度的平均值和标准差之间的关系被发现是线性的。这些定律的普遍性在理论上和实验上都得到了探索。通过一个催化反应网络模型，证明了这些规律在临界态附近存在，并具有有效的自复制。此外，通过测量荧光蛋白在细菌细胞中的分布，证实了蛋白质丰度的对数正态分布的普遍性。简要讨论了这些发现与细胞功能和生物可塑性的相关性。
The discovery of two fundamental laws concerning cellular dynamics with recursive growth is reported. Firstly, the chemical abundances measured over many cells were found to obey a log-normal distribution and secondly, the relationship between the average and standard deviation of the abundances was found to be linear. The ubiquity of these laws was explored both theoretically and experimentally. By means of a model with a catalytic reaction network, the laws were shown to exist near a critical state with efficient self-reproduction. Additionally, by measuring distributions of fluorescent proteins in bacteria cells, the ubiquity of log-normal distribution of protein abundances was confirmed. Relevance of these findings to cellular function and biological plasticity is briefly discussed.