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首页> 外文期刊>Biotechnology Progress >Development and Analysis of a Mathematical Model for Antibody-Producing GS-NSO Cells Under Normal and Hyperosmotic Culture Conditions
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Development and Analysis of a Mathematical Model for Antibody-Producing GS-NSO Cells Under Normal and Hyperosmotic Culture Conditions

机译:正常和高渗培养条件下产生抗体的GS-NSO细胞数学模型的建立和分析

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摘要

The GS-NSO cell line is industrially important and is currently used for the large-scale production of several therapeutic monoclonal antibodies.A novel hybrid model,consisting of both unstructured and structured elements,has been developed to describe cell growth and death,metabolism,and antibody production in the GS-NSO system under normal culture conditions.A comparison between the hybrid model and a large-scale single-cell model (SCM) describing detailed metabolic processes verified the predictive ability of the hybrid model (when compared with experimental data) and highlighted the practical difficulties involved in utilizing complex models.Global sensitivity analysis (GSA) on the hybrid model identified the specific transcription and translation rates of heavy and light immunoglobulin chains as parameters with the largest impact on the antibody production process.This information,together with the addition of a 24-h lag phase,resulted in the successful extension of the hybrid model to represent GS-NSO system behavior under hyperosmotic culture conditions.
机译:GS-NSO细胞系在工业上很重要,目前已用于大规模生产几种治疗性单克隆抗体。已开发出一种新的杂交模型,该模型由非结构化和结构化元素组成,用于描述细胞的生长和死亡,新陈代谢,杂交模型与描述详细代谢过程的大规模单细胞模型(SCM)的比较验证了杂交模型的预测能力(与实验数据进行比较),以及在正常培养条件下GS-NSO系统中的抗体产生。 ),并强调了使用复杂模型所涉及的实际困难。对杂交模型的全局敏感性分析(GSA)确定了重和轻免疫球蛋白链的特定转录和翻译速率是对抗体生产过程影响最大的参数。加上24小时的滞后阶段,导致混合动力汽车的成功扩展e1代表高渗培养条件下的GS-NSO系统行为。

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