Galvanauskas Vytautas, Grincas Vykantas, Simutis Rimvydas, Kagawa Yuki, Kino-Oka Masahiro
Department of Automation, Kaunas University of Technology, Kaunas, Lithuania.
Department of Biotechnology, Osaka University, Osaka, Japan.
Biotechnol Prog. 2017 Mar;33(2):355-364. doi: 10.1002/btpr.2431. Epub 2017 Jan 10.
Implementation of model-based practices for process development, control, automation, standardization, and validation are important factors for therapeutic and industrial applications of human pluripotent stem cells. As robust cultivation strategies for pluripotent stem cell expansion and differentiation have yet to be determined, process development could be enhanced by application of mathematical models and advanced control systems to optimize growth conditions. Therefore, it is important to understand both the potential of possible applications and the apparent limitations of existing mathematical models to improve pluripotent stem cell cultivation technologies. In the present review, the authors focus on these issues as they apply to stem cell expansion processes. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:355-364, 2017.
基于模型的方法在过程开发、控制、自动化、标准化和验证方面的实施,是人类多能干细胞治疗和工业应用的重要因素。由于尚未确定用于多能干细胞扩增和分化的稳健培养策略,因此通过应用数学模型和先进控制系统来优化生长条件,可以加强过程开发。因此,了解可能应用的潜力和现有数学模型的明显局限性,对于改进多能干细胞培养技术非常重要。在本综述中,作者重点关注这些与干细胞扩增过程相关的问题。© 2017美国化学工程师学会生物技术进展,33:355 - 364,2017年。