AI Article Synopsis

  • Unfavorable cultivation conditions, like oxygen deprivation and high osmotic pressure, hinder cell growth and biotherapeutic protein production, necessitating ongoing monitoring.
  • A novel CHO cell line was developed that can automatically detect and signal adverse process conditions using destabilized fluorescent proteins, with a specific focus on monitoring hypoxia and hyperosmolality.
  • This research introduces an innovative, fully automated microscope setup that enables real-time observation of CHO cell responses, enhancing the efforts for improved process analytical technology (PAT) in biomanufacturing.

Article Abstract

Unfavorable process conditions lead to adverse cultivation states, limited cell growth and thus hamper biotherapeutic protein production. Oxygen deficiency or hyperosmolality are among the most critical process conditions and therefore require continuous monitoring. We established a novel sensor CHO cell line with the ability to automatically sense and report unwanted process conditions by the expression of destabilized fluorescent proteins. To this end, an inducible real-time system to detect hypoxia by hypoxia response elements (HREs) of vascular endothelial growth factor (VEGF) origin reporting limitations by the expression of destabilized green fluorescent protein (GFP) was created. Additionally, we established a technique for observing hyperosmolality by exploiting osmotic response elements (OREs) for the expression of unstable blue fluorescent protein (BFP, FKBP-BFP), enabling the simultaneous automated supervision of two bioprocess parameters by using a dual sensor CHO cell line transfected with a multiplexable monitoring system. We finally also provided a fully automated in-line fluorescence microscopy-based setup to observe CHO cells and their response to varying culture conditions. In summary, we created the first CHO cell line, reporting unfavorable process parameters to the operator, and provided a novel and promising sensor technology accelerating the implementation of the process analytical technology (PAT) initiative by innovative solutions.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831625PMC
http://dx.doi.org/10.1038/s41598-022-06272-xDOI Listing

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