Literature DB >> 30088083

pH excursions impact CHO cell culture performance and antibody N-linked glycosylation.

Rubin Jiang1, Hao Chen1,2, Sen Xu3.   

Abstract

pH excursions exist due to frequent base addition and environmental heterogeneity in large-scale bioreactors. Such excursions could lead to suboptimal culture performance. Here we investigated the impact of pH excursions on cell culture performance and N-linked glycosylation for three MAb-producing Chinese hamster ovary cell lines. Frequent pH excursions were introduced by bolus base addition (in total 2-6% of initial volume, fixed bolus addition distributed from day 2 to 8) into small-scale bioreactors. Base addition led to increase in osmolality, pCO2, and lactate production. Lactate production increase was mainly caused by increased culture pH due to base addition, and bolus addition led to higher glucose and lactate metabolic rates than continuous addition. For the three cell lines studied, antibody galactosylation increased with the increase in cultivating pH, correlating to the decrease in cell-specific productivity. Interestingly, pH excursions led to significantly higher galactosylation for one cell line, which also had a higher response to different cultivating pHs. On the other hand, there was no such substantial impact of pH excursions on galactosylation for the other two cell lines, both of which also had minimal response to cultivating pH. This suggests that the impact of pH excursions on antibody N-linked glycosylation is cell line specific and is closely related to cell line response to cultivating pH.

Entities:  

Keywords:  Heterogeneity; Lactate; Mixing; Quality attributes; Scale-up/scale-down

Mesh:

Substances:

Year:  2018        PMID: 30088083     DOI: 10.1007/s00449-018-1996-y

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  5 in total

1.  Investigation of cell line specific responses to pH inhomogeneity and consequences for process design.

Authors:  Katrin Paul; Thomas Hartmann; Christoph Posch; Dirk Behrens; Christoph Herwig
Journal:  Eng Life Sci       Date:  2020-07-21       Impact factor: 2.678

Review 2.  Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.

Authors:  Ian Walsh; Matthew Myint; Terry Nguyen-Khuong; Ying Swan Ho; Say Kong Ng; Meiyappan Lakshmanan
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

3.  Characterization of Monoclonal Antibody Glycan Heterogeneity Using Hydrophilic Interaction Liquid Chromatography-Mass Spectrometry.

Authors:  Sumit K Singh; Kelvin H Lee
Journal:  Front Bioeng Biotechnol       Date:  2022-01-11

4.  MCT4/Lactate Promotes PD-L1 Glycosylation in Triple-Negative Breast Cancer Cells.

Authors:  Xianxian Duan; Yu Xie; Jing Yu; Xiao Hu; Zhanzhao Liu; Ning Li; Junfang Qin; Lan Lan; Mengci Yuan; Zhanyu Pan; Yue Wang
Journal:  J Oncol       Date:  2022-09-26       Impact factor: 4.501

5.  Development of a miniature bioreactor model to study the impact of pH and DOT fluctuations on CHO cell culture performance as a tool to understanding heterogeneity effects at large-scale.

Authors:  Roman Zakrzewski; Kenneth Lee; Gary J Lye
Journal:  Biotechnol Prog       Date:  2022-05-07
  5 in total

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