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Modelling of Mammalian Cell Cultures

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Animal Cell Culture

Part of the book series: Cell Engineering ((CEEN,volume 9))

Abstract

Mathematical modelling of mammalian cells has always been for the purpose of control and optimisation of bioprocess. Therefore, most of the models have been unstructured, unsegregated and empirical. However, with the advancement in analytical techniques such as Raman spectroscopy and flow cytometry for monitoring the state variables, structured, segregated and mechanistic models have been developed to provide more understanding of the underlying mechanisms of growth and productivity in mammalian cells. This review describes models based on bioprocess classification, experimental and theoretical tools of modelling, modelling approaches – empirical, mechanistic and stochastic, and finally mathematical techniques used for modelling. The models are developed for a variety of reasons but the prime reason ought to be realism over generality and predictability. Therefore, models described here are reviewed with a biological perspective to assess their impact on our understanding of growth and productivity in mammalian cells.

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    Nishikant P. Shirsat, Niall J. English, Brian Glennon & Mohamed Al-Rubeai

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Shirsat, N.P., English, N.J., Glennon, B., Al-Rubeai, M. (2015). Modelling of Mammalian Cell Cultures. In: Al-Rubeai, M. (eds) Animal Cell Culture. Cell Engineering, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-10320-4_10

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