Cell Technology Group, Department of Industrial Biotechnology/Bioprocess Design, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden; AdBIOPRO, Competence Centre for Advanced BioProduction by Continuous Processing, Sweden.
Department of Mathematics, Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden.
J Biotechnol. 2017 Oct 10;259:235-247. doi: 10.1016/j.jbiotec.2017.05.026. Epub 2017 Jul 5.
Mammalian cell lines are characterized by a complex and flexible metabolism. A single model that could describe the variations in metabolic behavior triggered by variations in the culture conditions would be a precious tool in bioprocess development. In this paper, we introduce an approach to generate a poly-pathway model and use it to simulate diverse metabolic states triggered in response to removal, reduction or doubling of amino acids in the culture medium of an antibody-producing CHO cell line. Macro-reactions were obtained from a metabolic network via elementary flux mode enumeration and the fluxes were modeled by kinetic equations with saturation and inhibition effects from external medium components. Importantly, one set of kinetic parameters was estimated using experimental data of the multiple metabolic states. A good fit between the model and the data was obtained for the majority of the metabolites and the experimentally observed flux variations. We find that the poly-pathway modeling approach is promising for the simulation of multiple metabolic states.
哺乳动物细胞系的代谢具有复杂而灵活的特点。如果有一种单一的模型能够描述培养条件变化所引发的代谢行为变化,那么它将成为生物工艺开发的宝贵工具。在本文中,我们介绍了一种生成多途径模型的方法,并使用该模型模拟了抗体产生 CHO 细胞系的培养基中氨基酸去除、减少或加倍所引发的多种代谢状态。宏观反应是通过基本通量模式枚举从代谢网络中获得的,通量通过具有外部介质成分的饱和和抑制效应的动力学方程进行建模。重要的是,使用多种代谢状态的实验数据来估计一组动力学参数。该模型与数据的大多数代谢物和实验观察到的通量变化拟合良好。我们发现,多途径建模方法有望用于模拟多种代谢状态。