Galvanauskas Vytautas, Simutis Rimvydas, Nath Suman Chandra, Kino-Oka Masahiro
Department of Automation, Kaunas University of Technology, Kaunas, Lithuania.
Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
Regen Ther. 2019 Apr 25;12:88-93. doi: 10.1016/j.reth.2019.04.007. eCollection 2019 Dec 15.
To date, practical application of mathematical models for model-based design of stem cell expansion processes is limited. Nevertheless, the first attempts show vast potential of this approach for the improvement of expansion process performance. This article presents the developed dynamic kinetic model of the human induced pluripotent stem cell expansion process in suspension culture. The model predicts cell growth, consumption of glucose and production of lactic acid, as well as the average aggregate size. The latter process variable is of particular importance for achieving high cell density. By adding botulinum hemagglutinin, an E-cadherin inhibitor and subsequent aggregate break-up, one can significantly increase performance of cell expansion process. After defining the appropriate optimization criteria and additional modification of the model, the latter can be further applied for model-based optimization of the final cell concentration by calculating optimal aggregate break-up and glucose/glutamine feeding strategies.
迄今为止,基于模型的干细胞扩增过程设计的数学模型的实际应用有限。然而,初步尝试表明这种方法在改善扩增过程性能方面具有巨大潜力。本文介绍了在悬浮培养中建立的人类诱导多能干细胞扩增过程的动态动力学模型。该模型可预测细胞生长、葡萄糖消耗和乳酸生成,以及平均聚集体大小。后一过程变量对于实现高细胞密度尤为重要。通过添加肉毒杆菌血凝素(一种E-钙黏蛋白抑制剂)并随后使聚集体破碎,可以显著提高细胞扩增过程的性能。在定义了适当的优化标准并对模型进行进一步修改后,通过计算最佳聚集体破碎和葡萄糖/谷氨酰胺补料策略,该模型可进一步应用于基于模型的最终细胞浓度优化。