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A novel method based on nonparametric regression with a Gaussian kernel algorithm identifies the critical components in CHO media and feed optimization

  • Mao Zou
  • Zi-Wei Zhou
  • Li Fan
  • Wei-Jian Zhang
  • Liang Zhao
  • Xu-Ping Liu
  • Hai-Bin Wang
  • Wen-Song TanEmail author
Fermentation, Cell Culture and Bioengineering - Original Paper
  • 45 Downloads

Abstract

As the composition of animal cell culture medium becomes more complex, the identification of key variables is important for simplifying and guiding the subsequent medium optimization. However, the traditional experimental design methods are impractical and limited in their ability to explore such large feature spaces. Therefore, in this work, we developed a NRGK (nonparametric regression with Gaussian kernel) method, which aimed to identify the critical components that affect product titres during the development of cell culture media. With this nonparametric model, we successfully identified the important components that were neglected by the conventional PLS (partial least squares regression) method. The superiority of the NRGK method was further verified by ANOVA (analysis of variance). Additionally, it was proven that the selection accuracy was increased with the NRGK method because of its ability to model both the nonlinear and linear relationships between the medium components and titres. The application of this NRGK method provides new perspectives for the more precise identification of the critical components that further enable the optimization of media in a shorter timeframe.

Keywords

Variable selection Nonparametric regression with Gaussian kernel Chinese hamster ovary cells Medium optimization 

Notes

Acknowledgements

This work was supported by the Fundamental Research Funds for the Central Universities (No. 22221818014).

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Copyright information

© Society for Industrial Microbiology and Biotechnology 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Bioreactor EngineeringEast China University of Science and TechnologyShanghaiChina
  2. 2.Shanghai Bioengine Sci-Tech Co. LtdShanghaiChina
  3. 3.Hisun Pharmaceutical (Hangzhou) Co. LtdHangzhouChina

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