Imperial College London
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Professor Cleo Kontoravdi

Faculty of Engineering, Department of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
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Location

 

310ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Strain:2023:10.1002/bit.28366,
author = {Strain, B and Morrissey, R and Antonakoudis, A and Kontoravdi, K},
doi = {10.1002/bit.28366},
journal = {Biotechnology and Bioengineering},
pages = {2460--2478},
title = {How reliable are Chinese hamster ovary (CHO) cell genome-scale metabolic models?},
url = {http://dx.doi.org/10.1002/bit.28366},
volume = {120},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Genome-scale metabolic models (GEMs) possess the power to revolutionize bioprocess and cell line engineering workflows thanks to their ability to predict and understand whole-cell metabolism in silico. Despite this potential, it is currently unclear how accurately GEMs can capture both intracellular metabolic states and extracellular phenotypes. Here, we investigate this knowledge gap to determine the reliability of current Chinese hamster ovary (CHO) cell metabolic models. We introduce a new GEM, iCHO2441, and create CHO-S and CHO-K1 specific GEMs. These are compared against iCHO1766, iCHO2048, and iCHO2291. Model predictions are assessed via comparison with experimentally measured growth rates, gene essentialities, amino acid auxotrophies, and 13C intracellular reaction rates. Our results highlight that all CHO cell models are able to capture extracellular phenotypes and intracellular fluxes, with the updated GEM outperforming the original CHO cell GEM. Cell line-specific models were able to better capture extracellular phenotypes but failed to improve intracellular reaction rate predictions in this case. Ultimately, this work provides an updated CHO cell GEM to the community and lays a foundation for the development and assessment of next-generation flux analysis techniques, highlighting areas for model improvements.
AU  - Strain,B
AU  - Morrissey,R
AU  - Antonakoudis,A
AU  - Kontoravdi,K
DO  - 10.1002/bit.28366
EP  - 2478
PY  - 2023///
SN  - 0006-3592
SP  - 2460
TI  - How reliable are Chinese hamster ovary (CHO) cell genome-scale metabolic models?
T2  - Biotechnology and Bioengineering
UR  - http://dx.doi.org/10.1002/bit.28366
UR  - https://onlinelibrary.wiley.com/doi/full/10.1002/bit.28366
UR  - http://hdl.handle.net/10044/1/103366
VL  - 120
ER  -
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