Cell line development for continuous high cell density biomanufacturing: Exploiting hypoxia for improved productivity

Autor: René Handrick, Kerstin Otte, Nikolas Zeh, Florian Klingler, Nadja Raab, Patrick Schlossbauer
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Metabolic Engineering Communications, Vol 13, Iss, Pp e00181-(2021)
Metabolic Engineering Communications
ISSN: 2214-0301
Popis: Oxygen deficiency (hypoxia) induces adverse effects during biotherapeutic protein production leading to reduced productivity and cell growth. Hypoxic conditions occur during classical batch fermentations using high cell densities or perfusion processes. Here we present an effort to create novel engineered Chinese hamster ovary (CHO) cell lines by exploiting encountered hypoxic bioprocess conditions to reinforce cellular production capacities. After verifying the conservation of the hypoxia-responsive pathway in CHO cell lines by analyzing oxygen sensing proteins HIF1a, HIF1β and VDL, hypoxia-response-elements (HREs) were functionally analyzed and used to create hypoxia-responsive expression vectors. Subsequently engineered hypoxia sensitive CHO cell lines significantly induced protein expression (SEAP) during adverse oxygen limitation encountered during batch fermentations as well as high cell density perfusion processes (2.7 fold). We also exploited this novel cell system to establish a highly effective oxygen shift as innovative bioprocessing strategy using hypoxia induction to improve production titers. Thus, substantial improvements can be made to optimize CHO cell productivity for novel bioprocessing challenges as oxygen limitation, providing an avenue to establish better cell systems by exploiting adverse process conditions for optimized biotherapeutic production.
Highlights • Demonstration of the capability of CHO cells for oxygen sensing • Characterization of the most potent hypoxia response elements in CHO cells • Enhanced productivity of CHO cells exploiting oxygen deprivation conditions • Introduction of a novel bioprocessing strategy by shifting pO2
Databáze: OpenAIRE