Literature DB >> 29393587

Impact of CHO Metabolism on Cell Growth and Protein Production: An Overview of Toxic and Inhibiting Metabolites and Nutrients.

Sara Pereira1,2, Helene Faustrup Kildegaard1, Mikael Rørdam Andersen2.   

Abstract

For over three decades, Chinese hamster ovary (CHO) cells have been the chosen expression platform for the production of therapeutic proteins with complex post-translational modifications. However, the metabolism of these cells is far from perfect and optimized, and requires substantial know how and process optimization and monitoring to perform efficiently. One of the main reasons for this is the production and accumulation of toxic and growth-inhibiting metabolites during culture. Lactate and ammonium are the most known, but many more have been identified. In this review, an overview of metabolites that deplete and accumulate throughout the course of cultivations with toxic and growth inhibitory effects to the cells is presented. Further, an overview of the CHO metabolism with emphasis to metabolic pathways of amino acids, glutathione (GSH), and related compounds which have growth-inhibiting and/or toxic effect on the cells is provided. Additionally, relevant publications which describe the applications of metabolomics as a powerful tool for revealing which reactions occur in the cell under certain conditions are surveyed and growth-inhibiting and toxic metabolites are identified. Also, a number of resources that describe the cellular mechanisms of CHO and are available on-line are presented. Finally, the application of this knowledge for bioprocess and medium development and cell line engineering is discussed.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Chinese hamster ovary cells; amino acid metabolism; glutathione metabolism; metabolic by-products

Mesh:

Substances:

Year:  2018        PMID: 29393587     DOI: 10.1002/biot.201700499

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  22 in total

1.  Modular development enables rapid design of media for alternative hosts.

Authors:  Andrew M Biedermann; Isabella R Gengaro; Sergio A Rodriguez-Aponte; Kerry R Love; J Christopher Love
Journal:  Biotechnol Bioeng       Date:  2021-10-18       Impact factor: 4.395

2.  Using Metabolomics to Identify Cell Line-Independent Indicators of Growth Inhibition for Chinese Hamster Ovary Cell-based Bioprocesses.

Authors:  Nicholas Alden; Ravali Raju; Kyle McElearney; James Lambropoulos; Rashmi Kshirsagar; Alan Gilbert; Kyongbum Lee
Journal:  Metabolites       Date:  2020-05-15

3.  Application of a genome-scale model in tandem with enzyme assays for identification of metabolic signatures of high and low CHO cell producers.

Authors:  Cyrielle Calmels; Solène Arnoult; Bassem Ben Yahia; Laetitia Malphettes; Mikael Rørdam Andersen
Journal:  Metab Eng Commun       Date:  2019-08-01

Review 4.  Oxidative stress-alleviating strategies to improve recombinant protein production in CHO cells.

Authors:  Valentine Chevallier; Mikael Rørdam Andersen; Laetitia Malphettes
Journal:  Biotechnol Bioeng       Date:  2019-12-20       Impact factor: 4.530

Review 5.  Computer-Aided Strategies for Determining the Amino Acid Composition of Medium for Chinese Hamster Ovary Cell-Based Biomanufacturing Platforms.

Authors:  Bergthor Traustason; Matthew Cheeks; Duygu Dikicioglu
Journal:  Int J Mol Sci       Date:  2019-11-02       Impact factor: 5.923

6.  Comprehensive Vitamer Profiling of Folate Mono- and Polyglutamates in Baker's Yeast (Saccharomyces cerevisiae) as a Function of Different Sample Preparation Procedures.

Authors:  Lena Gmelch; Daniela Wirtz; Michael Witting; Nadine Weber; Lisa Striegel; Philippe Schmitt-Kopplin; Michael Rychlik
Journal:  Metabolites       Date:  2020-07-23

7.  Progressively De-Differentiated Pancreatic Cancer Cells Shift from Glycolysis to Oxidative Metabolism and Gain a Quiescent Stem State.

Authors:  Giulia Ambrosini; Elisa Dalla Pozza; Giuseppina Fanelli; Claudia Di Carlo; Andrea Vettori; Giuseppe Cannino; Chiara Cavallini; Cristian Andres Carmona-Carmona; Jessica Brandi; Sara Rinalducci; Maria Teresa Scupoli; Andrea Rasola; Daniela Cecconi; Marta Palmieri; Ilaria Dando
Journal:  Cells       Date:  2020-06-28       Impact factor: 6.600

8.  Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes.

Authors:  Jens Smiatek; Christoph Clemens; Liliana Montano Herrera; Sabine Arnold; Bettina Knapp; Beate Presser; Alexander Jung; Thomas Wucherpfennig; Erich Bluhmki
Journal:  Biotechnol Rep (Amst)       Date:  2021-05-28

9.  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

10.  Oxygen Uptake Rate Soft-Sensing via Dynamic k L a Computation: Cell Volume and Metabolic Transition Prediction in Mammalian Bioprocesses.

Authors:  Magdalena Pappenreiter; Bernhard Sissolak; Wolfgang Sommeregger; Gerald Striedner
Journal:  Front Bioeng Biotechnol       Date:  2019-08-21
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