Henson Michael A, Müller Dirk, Reuss Matthias
Department of Chemical Engineering, University of Massachusetts, Amherst, MA 01003, U.S.A.
Biochem J. 2002 Dec 1;368(Pt 2):433-46. doi: 10.1042/BJ20021051.
We investigated a cell-population modelling technique in which the population is constructed from an ensemble of individual cell models. The average value or the number distribution of any intracellular property captured by the individual cell model can be calculated by simulation of a sufficient number of individual cells. The proposed method is applied to a simple model of yeast glycolytic oscillations where synchronization of the cell population is mediated by the action of an excreted metabolite. We show that smooth one-dimensional distributions can be obtained with ensembles comprising 1000 individual cells. Random variations in the state and/or structure of individual cells are shown to produce complex dynamic behaviours which cannot be adequately captured by small ensembles.
我们研究了一种细胞群体建模技术,其中群体由单个细胞模型的集合构建而成。通过对足够数量的单个细胞进行模拟,可以计算单个细胞模型所捕获的任何细胞内属性的平均值或数量分布。所提出的方法应用于酵母糖酵解振荡的简单模型,其中细胞群体的同步由一种分泌代谢物的作用介导。我们表明,由1000个单个细胞组成的集合可以获得平滑的一维分布。单个细胞状态和/或结构的随机变化会产生复杂的动态行为,而小集合无法充分捕捉这些行为。