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A dynamic EFM-based model for antibody producing cell lines and model based evaluation of fed-batch processes

机译:一种基于动态EFM的抗体产生细胞系模型和FED批处理的模型评价

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摘要

Based on elementary flux mode (EFM) analysis, a novel approach is presented for monoclonal antibody (MAb) production by GS-CHO cells. A kinetic model is developed on the basis of a set of macro-reactions, which can predict the time-dependent concentrations of metabolites, cell growth, and MAb productivity over a range of culture conditions. The model incorporates energy metabolism with biomass and MAb formation, with the specific ATP production rate being decided by the central carbon metabolism and used for estimation of biomass and MAb synthesis rates. The reaction rate expressions are represented by Michaelis-Menten kinetics based on extracellular metabolite concentrations, which determine ATP production by glycolysis and respiratory chain. Glutamine and asparagine are considered as regulatory metabolites for GS-CHO cells. Glutamine determines asparagine utilization route and energetic state of cells, while asparagine regulates the uptake rates of aspartate and glutamate. The model was calibrated for glutamine-free and glutamine-available cases and validated for fed-batch cultures supplied with glutamine. Unoptimized fed-batch cultures have been simulated for daily and constant feeding. The model predictions are in good agreement with the experimental data reported in literature.
机译:基于基于基本通量模式(EFM)分析,通过GS-CHO细胞呈现单克隆抗体(MAB)生产的新方法。基于一组宏观反应开发了动力学模型,其可以预测代谢物,细胞生长和MAB生产率在一系列培养条件下的时间依赖性浓度。该模型将能量代谢与生物量和MAB形成掺入,具体的ATP生产率由中央碳代谢决定,用于估计生物质和MAB合成率。反应速率表达由Michaelis-Menten动力学基于细胞外代谢物浓度来表示,其通过糖酵解和呼吸链确定ATP生产。谷氨酰胺和天冬酰胺被认为是GS-CHO细胞的调节代谢物。谷氨酰胺决定天冬酰胺利用途径和细胞的能量状态,而天冬酰胺调节天冬氨酸和谷氨酸的摄取率。该模型被校准,用于无谷氨酰胺和谷氨酰胺可用的病例,并验证谷氨酰胺供应的Fed-Batch培养物。已经模拟了未优化的补料批量培养,用于日常和恒定的喂养。模型预测与文献中报告的实验数据很好。

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