O'Connor Kim C, Venczel Mark Z
Department of Chemical and Biomolecular Engineering, Tulane University, New Orleans, LA 70118, USA.
Biotechnol Lett. 2005 Nov;27(21):1663-8. doi: 10.1007/s10529-005-2725-6.
The predictive capacity of a novel population-balance model to simulate aggregation kinetics of attachment-dependent cells at the resolution of one-cell increments has been evaluated. Using spheroid assembly of DU 145 human prostate cancer cells as a representative system, the mathematical model proved to be robust in simulating aggregation over a 5-fold range of surface densities from 5 x 10(3) to 2.5 x 10(4) cells/cm(2) with a single matrix of rate constants. For cultures at 1 x 10(5) cells/cm(2), more than 75% of simulated aggregate concentrations are within the standard deviation of measured concentrations. For the two extreme densities, at least two-thirds of model predictions are within 35% of the mean for experimental data. Error in model predictions is attributed to uncertainty in measurements and intrinsic changes in aggregation. The model has application to the rational design of spheroids in tissue engineering and bioseparation processes in pharmaceutical manufacturing.
一种新型的群体平衡模型在单细胞增量分辨率下模拟依赖附着细胞聚集动力学的预测能力已得到评估。以DU 145人前列腺癌细胞的球体组装作为代表性系统,该数学模型被证明在使用单一速率常数矩阵模拟5倍表面密度范围(从5×10³到2.5×10⁴个细胞/cm²)内的聚集时具有稳健性。对于1×10⁵个细胞/cm²的培养物,超过75%的模拟聚集体浓度在测量浓度的标准偏差范围内。对于两种极端密度,至少三分之二的模型预测值在实验数据平均值的35%以内。模型预测中的误差归因于测量的不确定性和聚集的内在变化。该模型可应用于组织工程中球体的合理设计以及制药生产中的生物分离过程。