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Maximizing interferon-gamma production by Chinese hamster ovary cells through temperature shift optimization:
Stephen R Fox1, Upasana A Patel, Miranda G S Yap
1Biotechnology Process Engineering Center (BPEC) and Department of Chemical Engineering, Massachusetts Institute of Technology, Room 16-429, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, USA.
Biotechnology and Bioengineering
|January 6, 2004
Summary
Optimizing interferon-gamma (IFN-gamma) production in Chinese hamster ovary (CHO) cells involves a biphasic temperature shift. A 3-day shift to 32°C maximizes volumetric productivity, enhancing yield by 40%.
Area of Science:
- Biotechnology
- Cell Culture Engineering
- Bioprocess Optimization
Background:
- Chinese hamster ovary (CHO) cell lines are crucial for biopharmaceutical production.
- Lowering culture temperature (e.g., to 32°C) significantly increases specific productivity of interferon-gamma (IFN-gamma) but slows cell growth.
- This temperature-dependent growth arrest limits overall volumetric productivity in standard batch cultures.
Purpose of the Study:
- To investigate a biphasic temperature control strategy to enhance IFN-gamma volumetric productivity.
- To develop and validate a predictive model for optimizing the temperature shift point.
Main Methods:
- Utilized a biphasic culture process: initial growth at 37°C followed by a shift to 32°C.
- Developed and validated a mathematical model to determine the optimal timing for the temperature shift.
- Compared volumetric productivity under different temperature conditions (37°C, 32°C, and biphasic).
Main Results:
- A 2-fold increase in specific productivity was observed at 32°C compared to 37°C.
- The biphasic approach, with a temperature shift after 3 days, increased IFN-gamma volumetric productivity by 40% compared to constant 32°C culture.
- This strategy achieved a 90% increase in volumetric productivity compared to constant 37°C culture, without reducing total product concentration.
Conclusions:
- A biphasic temperature control strategy effectively overcomes the limitations of slow growth at low temperatures.
- The developed modeling framework provides a reliable method for optimizing temperature shifts in bioprocesses.
- This approach significantly enhances volumetric productivity for IFN-gamma production in CHO cells.