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,< Weijia Wang>,< Peter W. Zandstra> Àú | ¾ÆÁø

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2020-07-13
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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
proportionalintegral-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-¥â1, 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 multianalyte protein sensors to automate the
manufacturing of cell therapies.

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Á¦ 1Æí : SIMULINK ±âº»Æí
1.1 SIMULINKÀÇ ½ÃÀÛ 1
ºí·ÏÀÇ ¿¬°á 5
ºí·Ï ÆĶó¹ÌÅÍÀÇ ¼³Á¤ 7
½Ã¹Ä·¹ÀÌ¼Ç ÆĶó¹ÌÅÍ (Configuration Parameters)ÀÇ ¼³Á¤ 8
½Ã¹Ä·¹À̼ÇÀÇ ¼öÇà 9
ºí·Ï ÆĶó¹ÌÅÍÀÇ Ç¥½Ã 9
º¹¼ö µ¥ÀÌÅÍÀÇ Ç¥½Ã 11
2.2 µ¿Àû ½Ã¹Ä·¹ÀÌ¼Ç 13
ÀÌÂ÷ ¹ÌºÐ¹æÁ¤½Ä 17
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DC ¸ðÅÍÀÇ ½Ã¹Ä·¹ÀÌ¼Ç 24
ÇÔ¼ö ºí·ÏÀÇ »ç¿ë 29
Â÷ºÐ¹æÁ¤½Ä(difference equation)ÀÇ ¸ðµ¨¸µ 34
Subsystem(ºÎ½Ã½ºÅÛ)ÀÇ ±¸¼º 37

Á¦ 2Æí : ¿¬±¸³í¹®
Proportional-Integral-Derivative (PID) Control of Secreted Factors for
Blood Stem Cell Culture

1. Introduction 41
2. Materials and Methods 43
3. Results and Discussion 44
4. PID Controller Design 47
5. Model Predicts Feedback Control Using Controller Enhances
CD34?Expansion 51
6. Conclusions 55
7. Supporting Information 56
8. References 58