Increase recombinant antibody yields through optimizing vector design and production process in CHO cells
Abstract Chinese hamster ovary (CHO) cells are the most commonly used host cells for the production of recombinant monoclonal antibodies (mAbs) due to their several advantages. Although the yields of recombinant mAbs can be greatly increased by some strategies, such as medium formulation, culture conditions, and cell engineering, most studies focused on either upstream design or downstream processes. In the present study, we first expressed recombinant adalimumab through combination of the vector design and production process optimization in CHO cells. Bicistronic vector, monocistronic vector, and dual promoter vector were constructed, and the production process was optimized using low-temperature and fed-batch culture. The results showed that the dual promoter vector exhibited the highest yield under the transient and stable transfected cells among three different vector systems in CHO cells. In addition, low-temperature and fed-batch culture could further improve the yields of adalimumab. The purified antibody displayed tumor necrosis factor-α (TNF-α) binding activity. In conclusion, combination of expression vector design and production process optimization can achieve higher expression of recombinant mAbs in CHO cells. Key points • The dual promoter vector is more effective for expressing recombinant antibodies. • The yields of antibodies are related to the LC chain expression level. • Low-temperature and feed addition can promote antibody production..
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:106 |
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Enthalten in: |
Applied microbiology and biotechnology - 106(2022), 13-16 vom: 05. Juli, Seite 4963-4975 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Yang, Yongxiao [VerfasserIn] |
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Links: |
Volltext [lizenzpflichtig] |
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Themen: |
Adalimumab |
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Anmerkungen: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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doi: |
10.1007/s00253-022-12051-5 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
OLC2131467168 |
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245 | 1 | 0 | |a Increase recombinant antibody yields through optimizing vector design and production process in CHO cells |
264 | 1 | |c 2022 | |
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520 | |a Abstract Chinese hamster ovary (CHO) cells are the most commonly used host cells for the production of recombinant monoclonal antibodies (mAbs) due to their several advantages. Although the yields of recombinant mAbs can be greatly increased by some strategies, such as medium formulation, culture conditions, and cell engineering, most studies focused on either upstream design or downstream processes. In the present study, we first expressed recombinant adalimumab through combination of the vector design and production process optimization in CHO cells. Bicistronic vector, monocistronic vector, and dual promoter vector were constructed, and the production process was optimized using low-temperature and fed-batch culture. The results showed that the dual promoter vector exhibited the highest yield under the transient and stable transfected cells among three different vector systems in CHO cells. In addition, low-temperature and fed-batch culture could further improve the yields of adalimumab. The purified antibody displayed tumor necrosis factor-α (TNF-α) binding activity. In conclusion, combination of expression vector design and production process optimization can achieve higher expression of recombinant mAbs in CHO cells. Key points • The dual promoter vector is more effective for expressing recombinant antibodies. • The yields of antibodies are related to the LC chain expression level. • Low-temperature and feed addition can promote antibody production. | ||
650 | 4 | |a CHO cells | |
650 | 4 | |a Recombinant antibody | |
650 | 4 | |a Adalimumab | |
650 | 4 | |a Vector optimization | |
650 | 4 | |a Production process | |
650 | 4 | |a Purification and identification | |
700 | 1 | |a Li, Zhengmei |4 aut | |
700 | 1 | |a Li, Qin |4 aut | |
700 | 1 | |a Ma, Kai |4 aut | |
700 | 1 | |a Lin, Yan |4 aut | |
700 | 1 | |a Feng, Huigen |4 aut | |
700 | 1 | |a Wang, Tianyun |0 (orcid)0000-0002-0793-1006 |4 aut | |
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