A metabolic network-based approach for developing feeding strategies for CHO cells to increase monoclonal antibody production.
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| Title: | A metabolic network-based approach for developing feeding strategies for CHO cells to increase monoclonal antibody production. |
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| Authors: | Fouladiha, Hamideh1 (AUTHOR), Marashi, Sayed-Amir1 (AUTHOR) marashi@ut.ac.ir, Torkashvand, Fatemeh2 (AUTHOR), Mahboudi, Fereidoun2 (AUTHOR), Lewis, Nathan E.3,4,5 (AUTHOR), Vaziri, Behrouz2 (AUTHOR) behrouz-vaziri@pasteur.ac.ir |
| Source: | Bioprocess & Biosystems Engineering. Aug2020, Vol. 43 Issue 8, p1381-1389. 9p. |
| Subjects: | Monoclonal antibodies, Antibody formation, Recombinant proteins, Cell culture, Cho cell, Metabolic models, Experimental design |
| Abstract: | Chinese hamster ovary (CHO) cells are the main workhorse in the biopharmaceutical industry for the production of recombinant proteins, such as monoclonal antibodies. To date, a variety of metabolic engineering approaches have been used to improve the productivity of CHO cells. While genetic manipulations are potentially laborious in mammalian cells, rational design of CHO cell culture medium or efficient fed-batch strategies are more popular approaches for bioprocess optimization. In this study, a genome-scale metabolic network model of CHO cells was used to design feeding strategies for CHO cells to improve monoclonal antibody (mAb) production. A number of metabolites, including threonine and arachidonate, were suggested by the model to be added into cell culture medium. The designed composition has been experimentally validated, and then optimized, using design of experiment methods. About a two-fold increase in the total mAb expression has been observed using this strategy. Our approach can be used in similar bioprocess optimization problems, to suggest new ways of increasing production in different cell factories. [ABSTRACT FROM AUTHOR] |
| Copyright of Bioprocess & Biosystems Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 144262193 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A metabolic network-based approach for developing feeding strategies for CHO cells to increase monoclonal antibody production. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fouladiha%2C+Hamideh%22">Fouladiha, Hamideh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marashi%2C+Sayed-Amir%22">Marashi, Sayed-Amir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> marashi@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Torkashvand%2C+Fatemeh%22">Torkashvand, Fatemeh</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahboudi%2C+Fereidoun%22">Mahboudi, Fereidoun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lewis%2C+Nathan+E%2E%22">Lewis, Nathan E.</searchLink><relatesTo>3,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vaziri%2C+Behrouz%22">Vaziri, Behrouz</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> behrouz-vaziri@pasteur.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bioprocess+%26+Biosystems+Engineering%22">Bioprocess & Biosystems Engineering</searchLink>. Aug2020, Vol. 43 Issue 8, p1381-1389. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Monoclonal+antibodies%22">Monoclonal antibodies</searchLink><br /><searchLink fieldCode="DE" term="%22Antibody+formation%22">Antibody formation</searchLink><br /><searchLink fieldCode="DE" term="%22Recombinant+proteins%22">Recombinant proteins</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+culture%22">Cell culture</searchLink><br /><searchLink fieldCode="DE" term="%22Cho+cell%22">Cho cell</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolic+models%22">Metabolic models</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Chinese hamster ovary (CHO) cells are the main workhorse in the biopharmaceutical industry for the production of recombinant proteins, such as monoclonal antibodies. To date, a variety of metabolic engineering approaches have been used to improve the productivity of CHO cells. While genetic manipulations are potentially laborious in mammalian cells, rational design of CHO cell culture medium or efficient fed-batch strategies are more popular approaches for bioprocess optimization. In this study, a genome-scale metabolic network model of CHO cells was used to design feeding strategies for CHO cells to improve monoclonal antibody (mAb) production. A number of metabolites, including threonine and arachidonate, were suggested by the model to be added into cell culture medium. The designed composition has been experimentally validated, and then optimized, using design of experiment methods. About a two-fold increase in the total mAb expression has been observed using this strategy. Our approach can be used in similar bioprocess optimization problems, to suggest new ways of increasing production in different cell factories. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Bioprocess & Biosystems Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00449-020-02332-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1381 Subjects: – SubjectFull: Monoclonal antibodies Type: general – SubjectFull: Antibody formation Type: general – SubjectFull: Recombinant proteins Type: general – SubjectFull: Cell culture Type: general – SubjectFull: Cho cell Type: general – SubjectFull: Metabolic models Type: general – SubjectFull: Experimental design Type: general Titles: – TitleFull: A metabolic network-based approach for developing feeding strategies for CHO cells to increase monoclonal antibody production. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fouladiha, Hamideh – PersonEntity: Name: NameFull: Marashi, Sayed-Amir – PersonEntity: Name: NameFull: Torkashvand, Fatemeh – PersonEntity: Name: NameFull: Mahboudi, Fereidoun – PersonEntity: Name: NameFull: Lewis, Nathan E. – PersonEntity: Name: NameFull: Vaziri, Behrouz IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 16157591 Numbering: – Type: volume Value: 43 – Type: issue Value: 8 Titles: – TitleFull: Bioprocess & Biosystems Engineering Type: main |
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