Levin M D
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
FEBS Lett. 2003 Aug 28;550(1-3):135-8. doi: 10.1016/s0014-5793(03)00857-3.
A deterministic computer model of the signal transduction pathway mediating bacterial chemotaxis was used to examine the variation in both unstimulated swimming behaviour and adaptation time to stimuli in clonal populations of cells. Copy numbers of proteins in the pathway were computed from a simplified model of transcription and translation that predicts greater-than-Poissonian statistics. Simulated and experimental individuality data could be brought into good agreement on varying the noise strength of the protein copy number distributions. In the simulations, all the proteins in the pathway are involved to a significant degree in the appearance of phenotypic diversity, although there is a modest decrease in influence with increasing copy number.
一个介导细菌趋化性的信号转导通路的确定性计算机模型被用于研究克隆细胞群体中未受刺激时的游动行为以及对刺激的适应时间的变化。该通路中蛋白质的拷贝数是根据一个预测超泊松统计的简化转录和翻译模型计算得出的。通过改变蛋白质拷贝数分布的噪声强度，模拟和实验的个体性数据能够达成良好的一致性。在模拟中，通路中的所有蛋白质在表型多样性的出现中都有显著程度的参与，尽管随着拷贝数增加影响会适度降低。
