Maximizing interferon-γ production by Chinese hamster ovary cells through temperature shift optimization:: Experimental and modeling

被引:138
作者
Fox, SR
Patel, UA
Yap, MGS
Wang, DIC
机构
[1] MIT, BPEC, Cambridge, MA 02139 USA
[2] MIT, Dept Chem Engn, Cambridge, MA 02139 USA
[3] BTC, ASTAR, Singapore 119260, Singapore
[4] Natl Univ Singapore, SMA, Singapore MIT Alliance, Singapore 119260, Singapore
关键词
CHO cells; controlled proliferation; low temperature; modeling; process optimization;
D O I
10.1002/bit.10861
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The Chinese hamster ovary (CHO) cell line producing interferon-gamma (IFN-gamma) exhibits a 2-fold increase in specific productivity when grown at 32degreesC compared to 37degreesC. Low temperature also causes growth arrest, meaning that the cell density is significantly lower at 32degreesC, nutrients are consumed at a slower rate and the batch culture can be run for a longer period of time prior to the onset of cell death. At the end of the batch, product concentration is doubled at the low temperature. However, the batch time is nearly doubled as well, and this causes volumetric productivity to only marginally improve by using low temperature. One approach to alleviate the problem of slow growth at low temperature is to utilize a biphasic process, wherein cells are cultured at 37degreesC for a period of time in order to obtain reasonably high cell density and then the temperature is shifted to 32degreesC to achieve high specific productivity. Using this approach, it is hypothesized that IFN-gamma volumetric productivity would be maximized. We developed and validated a model for predicting the optimal point in time at which to shift the culture temperature from 37degreesC to 32degreesC. It was found that by shifting the temperature after 3 days of growth, the IFN-gamma volumetric productivity is increased by 40% compared to growth and production at 32degreesC and by 90% compared to 37degreesC, without any decrease in total production relative to culturing at 32degreesC alone. The modeling framework presented here is applicable for optimizing controlled proliferation processes in general. (C) 2004 Wiley Periodicals, Inc.
引用
收藏
页码:177 / 184
页数:8
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