Improving outcomes in intensified processing via optimization of the cell line development workflow.
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| Title: | Improving outcomes in intensified processing via optimization of the cell line development workflow. |
|---|---|
| Authors: | Balassi, Vincent1 (AUTHOR), Otto, Mary1 (AUTHOR), Kretzmer, Corey1 (AUTHOR), Petersen, Amber1 (AUTHOR), McLaurin, Channing2 (AUTHOR), Mahadevan, Jana2 (AUTHOR), Gustin, Jason1 (AUTHOR), Borgschulte, Trissa1 (AUTHOR), Razafsky, David1 (AUTHOR) David.Razafsky@MilliporeSigma.com |
| Source: | Biotechnology Progress. May/Jun2025, Vol. 41 Issue 3, p1-19. 19p. |
| Subjects: | Cell lines, Continuous processing, Cell growth, Models & modelmaking, Workflow |
| Abstract: | As the industry continues to explore the benefits of continuous and intensified manufacturing, it is important to assure that the cell line development (CLD) workflows in practice today are well suited to generate clones that meet the unique challenges associated with these processes. Most cell lines used in intensified processes are currently developed using traditional fed‐batch CLD workflows followed by adaptation of these cell lines to perfusion processes. This method maybe suboptimal as fed‐batch CLD workflows select clones which produce high volumetric titers irrespective of cell growth rate and specific productivity (qP). Although sufficient for fed‐batch processes, performance of cells derived from this traditional CLD workflow may not be maintained in perfusion processes, where an intricate balance of performance parameters is needed. Until now, a thorough investigation into the effect of the CLD workflow on top clone performance in perfusion processes has not been conducted. Here, we show how the CLD workflow impacts cell performance in both fed‐batch and perfusion processes, emphasizing the advantages of adopting a perfusion‐specific CLD workflow which includes the use of medium specially designed for expansion and production in a perfusion setting, scale‐down models which more accurately simulate perfusion process, and the adoption of perfusion‐specific cell line selection criteria. Together, this results in the development of more efficient cell lines, fit for continuous and intensified processing. [ABSTRACT FROM AUTHOR] |
| Copyright of Biotechnology Progress is the property of Wiley-Blackwell 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: 185988492 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving outcomes in intensified processing via optimization of the cell line development workflow. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Balassi%2C+Vincent%22">Balassi, Vincent</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Otto%2C+Mary%22">Otto, Mary</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kretzmer%2C+Corey%22">Kretzmer, Corey</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Petersen%2C+Amber%22">Petersen, Amber</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McLaurin%2C+Channing%22">McLaurin, Channing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mahadevan%2C+Jana%22">Mahadevan, Jana</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gustin%2C+Jason%22">Gustin, Jason</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Borgschulte%2C+Trissa%22">Borgschulte, Trissa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Razafsky%2C+David%22">Razafsky, David</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> David.Razafsky@MilliporeSigma.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Biotechnology+Progress%22">Biotechnology Progress</searchLink>. May/Jun2025, Vol. 41 Issue 3, p1-19. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cell+lines%22">Cell lines</searchLink><br /><searchLink fieldCode="DE" term="%22Continuous+processing%22">Continuous processing</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+growth%22">Cell growth</searchLink><br /><searchLink fieldCode="DE" term="%22Models+%26+modelmaking%22">Models & modelmaking</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow%22">Workflow</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As the industry continues to explore the benefits of continuous and intensified manufacturing, it is important to assure that the cell line development (CLD) workflows in practice today are well suited to generate clones that meet the unique challenges associated with these processes. Most cell lines used in intensified processes are currently developed using traditional fed‐batch CLD workflows followed by adaptation of these cell lines to perfusion processes. This method maybe suboptimal as fed‐batch CLD workflows select clones which produce high volumetric titers irrespective of cell growth rate and specific productivity (qP). Although sufficient for fed‐batch processes, performance of cells derived from this traditional CLD workflow may not be maintained in perfusion processes, where an intricate balance of performance parameters is needed. Until now, a thorough investigation into the effect of the CLD workflow on top clone performance in perfusion processes has not been conducted. Here, we show how the CLD workflow impacts cell performance in both fed‐batch and perfusion processes, emphasizing the advantages of adopting a perfusion‐specific CLD workflow which includes the use of medium specially designed for expansion and production in a perfusion setting, scale‐down models which more accurately simulate perfusion process, and the adoption of perfusion‐specific cell line selection criteria. Together, this results in the development of more efficient cell lines, fit for continuous and intensified processing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Biotechnology Progress is the property of Wiley-Blackwell 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: 10.1002/btpr.70003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Subjects: – SubjectFull: Cell lines Type: general – SubjectFull: Continuous processing Type: general – SubjectFull: Cell growth Type: general – SubjectFull: Models & modelmaking Type: general – SubjectFull: Workflow Type: general Titles: – TitleFull: Improving outcomes in intensified processing via optimization of the cell line development workflow. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Balassi, Vincent – PersonEntity: Name: NameFull: Otto, Mary – PersonEntity: Name: NameFull: Kretzmer, Corey – PersonEntity: Name: NameFull: Petersen, Amber – PersonEntity: Name: NameFull: McLaurin, Channing – PersonEntity: Name: NameFull: Mahadevan, Jana – PersonEntity: Name: NameFull: Gustin, Jason – PersonEntity: Name: NameFull: Borgschulte, Trissa – PersonEntity: Name: NameFull: Razafsky, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 87567938 Numbering: – Type: volume Value: 41 – Type: issue Value: 3 Titles: – TitleFull: Biotechnology Progress Type: main |
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