Liu Yuan-Hua, Bi Jing-Xiu, Zeng An-Ping, Yuan Jing-Qi
Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Rd., 200240 Shanghai, PR China.
Biotechnol Prog. 2007 Sep-Oct;23(5):1198-209. doi: 10.1021/bp070152z. Epub 2007 Aug 11.
A multi-staged population balance model is proposed to describe the cell cycle dynamics of myeloma cell cultivation. In this model, the cell cycle is divided into three stages, i.e., G1, S, and G2M phases. Both DNA content and cell volume are used to differentiate each cell from other cells of the population. The probabilities of transition from G1 to S and division of G2M are assumed to be dependent on cell volume, and transition probability from S to G2M is determined by DNA content. The model can be used to simulate the dynamics of DNA content and cell volume distributions, phase fractions, and substrate and byproduct concentrations, as well as cell densities. Measurements from myeloma cell cultivations, especially the FACS data with respect to DNA distribution and cell fractions in different stages, are employed for model validation.
提出了一种多阶段群体平衡模型来描述骨髓瘤细胞培养的细胞周期动态。在该模型中,细胞周期分为三个阶段,即G1期、S期和G2M期。DNA含量和细胞体积都用于区分群体中的每个细胞与其他细胞。假设从G1期到S期的转变概率和G2M期的分裂概率取决于细胞体积,而从S期到G2M期的转变概率由DNA含量决定。该模型可用于模拟DNA含量和细胞体积分布、相分数、底物和副产物浓度以及细胞密度的动态变化。骨髓瘤细胞培养的测量数据,特别是关于DNA分布和不同阶段细胞分数的流式细胞术数据,用于模型验证。