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Metabolic Flux Analysis of hybridoma cells: underdetermined network and influence of batch and perfusion operating modes.

机译:杂交瘤细胞的代谢通量分析:不确定的网络以及分批和灌注操作模式的影响。

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In this work, metabolic flux analysis (MFA) is applied to determine the flux distribution within a metabolic network representing the metabolism of a hybridoma cell line. Even though a relatively large set of extracellular measurements are available, mass balancing leads to an underdetermined system and a unique solution cannot be computed. To tackle this problem, a convex analysis approach is therefore used to compute the metabolic fluxes as positive bounded intervals, with the help of the toolbox METATOOL. Our main objective is to investigate the influence of the number of extracellular measurements and the culture operating mode, i.e., batch or perfusion, on the flux distribution. Our study is based on sets of experimental data from hybridoma HB58 cell batch/perfusion cultures.
机译:在这项工作中,应用代谢通量分析(MFA)确定代表杂交瘤细胞系代谢的代谢网络内的通量分布。即使有相对大量的细胞外测量值可用,质量平衡也会导致系统不确定,并且无法计算出唯一的解决方案。为了解决这个问题,因此在工具箱METATOOL的帮助下,使用凸分析方法将代谢通量计算为正有界区间。我们的主要目的是研究细胞外测量的数量和培养操作模式(即分批或灌注)对通量分布的影响。我们的研究基于杂交瘤HB58细胞分批/灌注培养的实验数据集。

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