Options
Considerations of the impacts of cell-specific growth and production rate on clone selection : a simulation study
Citation Link: https://doi.org/10.15480/882.3596
Publikationstyp
Journal Article
Publikationsdatum
2021-06
Sprache
English
TORE-URI
Enthalten in
Volume
9
Issue
6
Article Number
964
Citation
Processes 9 (6): 964 (2021-06)
Publisher DOI
Scopus ID
Publisher
Multidisciplinary Digital Publishing Institute
For the manufacturing of complex biopharmaceuticals using bioreactors with cultivated mammalian cells, high product concentration is an important objective. The phenotype of the cells in a reactor plays an important role. Are clonal cell populations showing high cell-specific growth rates more favorable than cell lines with higher cell-specific productivities or vice versa? Five clonal Chinese hamster ovary cell populations were analyzed based on the data of a 3-month-stability study. We adapted a mechanistic cell culture model to the experimental data of one such clonally derived cell population. Uncertainties and prior knowledge concerning model parameters were considered using Bayesian parameter estimations. This model was used then to define an inoculum train protocol. Based on this, we subsequently simulated the impacts of differences in growth rates (±10%) and production rates (±10% and ±50%) on the overall cultivation time, including making the inoculum train cultures; the final production phase, the volumetric titer in that bioreactor and the ratio of both, defined as overall process productivity. We showed thus unequivocally that growth rates have a higher impact (up to three times) on overall process productivity and for product output per year, whereas cells with higher productivity can potentially generate higher product concentrations in the production vessel.
Schlagworte
clonal cell population
phenotypic diversity
inoculum train
uncertainty-based
cell culture model
biopharmaceutical manufacturing
DDC Class
570: Biowissenschaften, Biologie
Publication version
publishedVersion
Loading...
Name
processes-09-00964-v2.pdf
Size
15.06 MB
Format
Adobe PDF