Literature DB >> 20672285

Metabolic flux analysis of CHO cell metabolism in the late non-growth phase.

Neelanjan Sengupta1, Steven T Rose, John A Morgan.   

Abstract

Chinese hamster ovary (CHO) cell cultures are commonly used for production of recombinant human therapeutic proteins. Often the goal of such a process is to separate the growth phase of the cells, from the non-growth phase where ideally the cells are diverting resources to produce the protein of interest. Characterizing the way that the cells use nutrients in terms of metabolic fluxes as a function of culture conditions can provide a deeper understanding of the cell biology offering guidance for process improvements. To evaluate the fluxes, metabolic flux analysis of the CHO cell culture in the non-growth phase was performed by a combination of steady-state isotopomer balancing and stoichiometric modeling. Analysis of the glycolytic pathway and pentose phosphate pathway (PPP) indicated that almost all of the consumed glucose is diverted towards PPP with a high NADPH production; with even recycle from PPP to G6P in some cases. Almost all of the pyruvate produced from glycolysis entered the TCA cycle with little or no lactate production. Comparison of the non-growth phase against previously reported fluxes from growth phase cultures indicated marked differences in the fluxes, in terms of the split between glycolysis and PPP, and also around the pyruvate node. Possible reasons for the high NADPH production are also discussed. Evaluation of the fluxes indicated that the medium strength, carbon dioxide level, and temperature with dissolved oxygen have statistically significant impacts on different nodes of the flux network.
© 2010 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 20672285     DOI: 10.1002/bit.22890

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  31 in total

1.  Scale-up of mammalian cell culture using a new multilayered flask.

Authors:  Elizabeth J Abraham; Katie A Slater; Suparna Sanyal; Ken Linehan; Paula M Flaherty; Susan Qian
Journal:  J Vis Exp       Date:  2011-12-05       Impact factor: 1.355

Review 2.  Homeostasis of redox status derived from glucose metabolic pathway could be the key to understanding the Warburg effect.

Authors:  Shiwu Zhang; Chuanwei Yang; Zhenduo Yang; Dan Zhang; Xiaoping Ma; Gordon Mills; Zesheng Liu
Journal:  Am J Cancer Res       Date:  2015-02-15       Impact factor: 6.166

Review 3.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

4.  A Consensus Genome-scale Reconstruction of Chinese Hamster Ovary Cell Metabolism.

Authors:  Hooman Hefzi; Kok Siong Ang; Michael Hanscho; Aarash Bordbar; David Ruckerbauer; Meiyappan Lakshmanan; Camila A Orellana; Deniz Baycin-Hizal; Yingxiang Huang; Daniel Ley; Veronica S Martinez; Sarantos Kyriakopoulos; Natalia E Jiménez; Daniel C Zielinski; Lake-Ee Quek; Tune Wulff; Johnny Arnsdorf; Shangzhong Li; Jae Seong Lee; Giuseppe Paglia; Nicolas Loira; Philipp N Spahn; Lasse E Pedersen; Jahir M Gutierrez; Zachary A King; Anne Mathilde Lund; Harish Nagarajan; Alex Thomas; Alyaa M Abdel-Haleem; Juergen Zanghellini; Helene F Kildegaard; Bjørn G Voldborg; Ziomara P Gerdtzen; Michael J Betenbaugh; Bernhard O Palsson; Mikael R Andersen; Lars K Nielsen; Nicole Borth; Dong-Yup Lee; Nathan E Lewis
Journal:  Cell Syst       Date:  2016-11-23       Impact factor: 10.304

Review 5.  Homeostasis of redox status derived from glucose metabolic pathway could be the key to understanding the Warburg effect.

Authors:  Shiwu Zhang; Chuanwei Yang; Zhenduo Yang; Dan Zhang; Xiaoping Ma; Gordon Mills; Zesheng Liu
Journal:  Am J Cancer Res       Date:  2015-03-15       Impact factor: 6.166

Review 6.  Advanced stoichiometric analysis of metabolic networks of mammalian systems.

Authors:  Mehmet A Orman; Francois Berthiaume; Ioannis P Androulakis; Marianthi G Ierapetritou
Journal:  Crit Rev Biomed Eng       Date:  2011

7.  Evidence for transketolase-like TKTL1 flux in CHO cells based on parallel labeling experiments and (13)C-metabolic flux analysis.

Authors:  Woo Suk Ahn; Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-05-10       Impact factor: 9.783

Review 8.  Metabolic flux rewiring in mammalian cell cultures.

Authors:  Jamey D Young
Journal:  Curr Opin Biotechnol       Date:  2013-05-28       Impact factor: 9.740

9.  Reduction of charge variants by CHO cell culture process optimization.

Authors:  Zhibing Weng; Jian Jin; ChunHua Shao; Huazhong Li
Journal:  Cytotechnology       Date:  2020-03-31       Impact factor: 2.058

10.  Application of metabolic modeling for targeted optimization of high seeding density processes.

Authors:  Matthias Brunner; Klara Kolb; Alena Keitel; Fabian Stiefel; Thomas Wucherpfennig; Jan Bechmann; Andreas Unsoeld; Jochen Schaub
Journal:  Biotechnol Bioeng       Date:  2021-03-01       Impact factor: 4.530

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.