What CHO is made of: Variations in the biomass composition of Chinese hamster ovary cell lines
- Author(s)
- Diana Széliová, David E. Ruckerbauer, Sarah N. Galleguillos, Lars B. Petersen, Klaus Natter, Michael Hanscho, Christina Troyer, Tim Causon, Harald Schoeny, Hanne B. Christensen, Dong Yup Lee, Nathan E. Lewis, Gunda Koellensperger, Stephan Hann, Lars K. Nielsen, Nicole Borth, Jürgen Zanghellini
- Abstract
Background: Cell line-specific, genome-scale metabolic models enable rigorous and systematic in silico investigation of cellular metabolism. Such models have recently become available for Chinese hamster ovary (CHO) cells. However, a key ingredient, namely an experimentally validated biomass function that summarizes the cellular composition, was so far missing. Here, we close this gap by providing extensive experimental data on the biomass composition of 13 parental and producer CHO cell lines under various conditions. Results: We report total protein, lipid, DNA, RNA and carbohydrate content, cell dry mass, and detailed protein and lipid composition. Furthermore, we present meticulous data on exchange rates between cells and environment and provide detailed experimental protocols on how to determine all of the above. The biomass composition is converted into cell line- and condition-specific biomass functions for use in cell line-specific, genome-scale metabolic models of CHO. Finally, flux balance analysis (FBA) is used to demonstrate consistency between in silico predictions and experimental analysis. Conclusions: Our study reveals a strong variability of the total protein content and cell dry mass across cell lines. However, the relative amino acid composition is independent of the cell line and condition and thus needs not be explicitly measured for each new cell line. In contrast, the lipid composition is strongly influenced by the growth media and thus will have to be determined in each case. These cell line-specific variations in biomass composition have a small impact on growth rate predictions with FBA, as inaccuracies in the predictions are rather dominated by inaccuracies in the exchange rate spectra. Cell-specific biomass variations only become important if the experimental errors in the exchange rate spectra drop below twenty percent.
- Organisation(s)
- Department of Analytical Chemistry
- External organisation(s)
- acib – Austrian Centre of Industrial Biotechnology, University of Natural Resources and Life Sciences, Technical University of Denmark (DTU), Karl-Franzens-Universität Graz, Sungkyunkwan University (SKKU), Queensland University of Technology, University of California, San Diego
- Journal
- Metabolic engineering
- Volume
- 61
- Pages
- 288-300
- No. of pages
- 13
- ISSN
- 1096-7176
- DOI
- https://doi.org/10.1016/j.ymben.2020.06.002
- Publication date
- 09-2020
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106022 Microbiology, 106005 Bioinformatics, 403019 Veterinary medical biochemistry
- Keywords
- ASJC Scopus subject areas
- Biotechnology, Bioengineering, Applied Microbiology and Biotechnology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/b06d3a0c-8210-48c3-95f4-11623c45396e