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结合冈珀茨生长模型与细胞群体动力学

Combining Gompertzian growth and cell population dynamics.

作者信息

Kozusko Frank, Bajzer Zeljko

机构信息

Department of Mathematics, Hampton University, Hampton, VA 23668, USA.

出版信息

Math Biosci. 2003 Oct;185(2):153-67. doi: 10.1016/s0025-5564(03)00094-4.

Abstract

A two-compartment model of cancer cells population dynamics proposed by Gyllenberg and Webb includes transition rates between proliferating and quiescent cells as non-specified functions of the total population, N. We define the net inter-compartmental transition rate function: Phi(N). We assume that the total cell population follows the Gompertz growth model, as it is most often empirically found and derive Phi(N). The Gyllenberg-Webb transition functions are shown to be characteristically related through Phi(N). Effectively, this leads to a hybrid model for which we find the explicit analytical solutions for proliferating and quiescent cell populations, and the relations among model parameters. Several classes of solutions are examined. Our model predicts that the number of proliferating cells may increase along with the total number of cells, but the proliferating fraction appears to be a continuously decreasing function. The net transition rate of cells is shown to retain direction from the proliferating into the quiescent compartment. The death rate parameter for quiescent cell population is shown to be a factor in determining the proliferation level for a particular Gompertz growth curve.

摘要

由吉林伯格和韦伯提出的癌细胞群体动力学双室模型,将增殖细胞与静止细胞之间的转换率定义为总细胞数N的非特定函数。我们定义了净室间转换率函数:Phi(N)。我们假设总细胞群体遵循Gompertz生长模型,因为这是最常通过实验发现的,并推导了Phi(N)。结果表明,吉林伯格 - 韦伯转换函数通过Phi(N)具有特征性关联。实际上,这导致了一个混合模型,我们为其找到了增殖细胞群体和静止细胞群体的显式解析解,以及模型参数之间的关系。研究了几类解。我们的模型预测,增殖细胞的数量可能会随着细胞总数的增加而增加,但增殖分数似乎是一个持续下降的函数。细胞的净转换率显示出从增殖室到静止室的方向。静止细胞群体的死亡率参数被证明是决定特定Gompertz生长曲线增殖水平的一个因素。

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