Data-driven and model-guided systematic framework for media development in CHO cell culture.

Jong Kwang Hong, Dong-Hyuk Choi, Seo-Young Park, Yaron R Silberberg, Fumi Shozui, Eiji Nakamura, Takashi Kayahara, Dong-Yup Lee

September 2022 Metab Eng

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Systematic Framework for Media Optimization in CHO Cell Culture

Systematic Framework for Media Optimization in CHO Cell Culture

This video presents a data-driven, model-guided framework for developing culture media in CHO cells, integrating statistical analysis and computer simulations to optimize cell growth and productivity, exemplified by Q10 supplementation for antibody-producing cells.

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Abstract Synopsis

  • The paper introduces a systematic media development framework that integrates statistical analysis and computer modeling to optimize media recipes for Chinese hamster ovary (CHO) cells, commonly used in biotech manufacturing.
  • The process involves collecting cell and metabolite data, analyzing it to understand cell metabolism, running in silico (computer-based) simulations to find bottlenecks, and then identifying specific media components (like Q10) to improve cell growth and productivity.
  • An example case with antibody-producing CHO cell lines showed that adding Q10 helped resolve a metabolic issue, leading to better cell growth, demonstrating how this framework can be used to design better media tailored to specific cell needs.]