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Proportional-Integral-Derivative (PID) Control of Secreted Factors for Blood Stem Cell Culture

机译:血干细胞培养分泌因子的比例-积分-微分(PID)控制

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摘要

Clinical use of umbilical cord blood has typically been limited by the need to expand hematopoietic stem and progenitor cells (HSPC) ex vivo. This expansion is challenging due to the accumulation of secreted signaling factors in the culture that have a negative regulatory effect on HSPC output. Strategies for global regulation of these factors through dilution have been developed, but do not accommodate the dynamic nature or inherent variability of hematopoietic cell culture. We have developed a mathematical model to simulate the impact of feedback control on in vitro hematopoiesis, and used it to design a proportional-integral-derivative (PID) control algorithm. This algorithm was implemented with a fed-batch bioreactor to regulate the concentrations of secreted factors. Controlling the concentration of a key target factor, TGF-β1, through dilution limited the negative effect it had on HSPCs, and allowed global control of other similarly-produced inhibitory endogenous factors. The PID control algorithm effectively maintained the target soluble factor at the target concentration. We show that feedback controlled dilution is predicted to be a more cost effective dilution strategy compared to other open-loop strategies, and can enhance HSPC expansion in short term culture. This study demonstrates the utility of secreted factor process control strategies to optimize stem cell culture systems, and motivates the development of multi-analyte protein sensors to automate the manufacturing of cell therapies.
机译:脐带血的临床用途通常受到离体扩增造血干细胞和祖细胞(HSPC)的限制。由于培养物中分泌的信号传导因子的积累对HSPC的输出产生了负面的调节作用,因此这种扩展具有挑战性。已经开发了通过稀释来全局调节这些因子的策略,但是这些策略不能适应造血细胞培养的动态性质或固有变异性。我们已经开发了一个数学模型来模拟反馈控制对体外造血的影响,并使用它来设计比例积分微分(PID)控制算法。用补料分批生物反应器实施该算法以调节分泌因子的浓度。通过稀释来控制关键目标因子TGF-β1的浓度限制了它对HSPC的负面影响,并允许整体控制其他类似产生的抑制性内源因子。 PID控制算法有效地将目标可溶因子保持在目标浓度。我们表明,与其他开环策略相比,反馈控制的稀释预计是一种更具成本效益的稀释策略,并且可以增强短期培养中的HSPC扩展。这项研究证明了分泌因子过程控制策略在优化干细胞培养系统中的实用性,并促进了多种分析物蛋白质传感器的开发,从而实现了细胞疗法的自动化。

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