Literature DB >> 25857574

A quantitative proteomic analysis of cellular responses to high glucose media in Chinese hamster ovary cells.

Zhenke Liu1, Shujia Dai1, Jonathan Bones1, Somak Ray1, Sangwon Cha1, Barry L Karger1, Jingyi Jessica Li2, Lee Wilson3, Greg Hinckle3, Anthony Rossomando3.   

Abstract

A goal in recombinant protein production using Chinese hamster ovary (CHO) cells is to achieve both high specific productivity and high cell density. Addition of glucose to the culture media is necessary to maintain both cell growth and viability. We varied the glucose concentration in the media from 5 to 16 g/L and found that although specific productivity of CHO-DG44 cells increased with the glucose level, the integrated viable cell density decreased. To examine the biological basis of these results, we conducted a discovery proteomic study of CHO-DG44 cells grown under batch conditions in normal (5 g/L) or high (15 g/L) glucose over 3, 6, and 9 days. Approximately 5,000 proteins were confidently identified against an mRNA-based CHO-DG44 specific proteome database, with 2,800 proteins quantified with at least two peptides. A self-organizing map algorithm was used to deconvolute temporal expression profiles of quantitated proteins. Functional analysis of altered proteins suggested that differences in growth between the two glucose levels resulted from changes in crosstalk between glucose metabolism, recombinant protein expression, and cell death, providing an overall picture of the responses to high glucose environment. The high glucose environment may enhance recombinant dihydrofolate reductase in CHO cells by up-regulating NCK1 and down-regulating PRKRA, and may lower integrated viable cell density by activating mitochondrial- and endoplasmic reticulum-mediated cell death pathways by up-regulating HtrA2 and calpains. These proteins are suggested as potential targets for bioengineering to enhance recombinant protein production.
© 2015 American Institute of Chemical Engineers.

Entities:  

Keywords:  2DLC; Chinese hamster ovary cells; MS; bioprocessing; biotherapeutics; cell death; glucose metabolism; high glucose; proteomics; recombinant protein expression

Mesh:

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Year:  2015        PMID: 25857574     DOI: 10.1002/btpr.2090

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  7 in total

1.  Comparative Proteomic Analysis of Three Chinese Hamster Ovary (CHO) Host Cells.

Authors:  Ningning Xu; Chao Ma; Jianfa Ou; Wanqi Wendy Sun; Lufang Zhou; Hui Hu; Xiaoguang Margaret Liu
Journal:  Biochem Eng J       Date:  2017-05-15       Impact factor: 3.978

2.  Multi-Omics Reveals Impact of Cysteine Feed Concentration and Resulting Redox Imbalance on Cellular Energy Metabolism and Specific Productivity in CHO Cell Bioprocessing.

Authors:  Amr S Ali; Rachel Chen; Ravali Raju; Rashmi Kshirsagar; Alan Gilbert; Li Zang; Barry L Karger; Alexander R Ivanov
Journal:  Biotechnol J       Date:  2020-04-03       Impact factor: 4.677

3.  Chemical composition and the potential for proteomic transformation in cancer, hypoxia, and hyperosmotic stress.

Authors:  Jeffrey M Dick
Journal:  PeerJ       Date:  2017-06-06       Impact factor: 2.984

4.  High glucose and low specific cell growth but not mild hypothermia improve specific r-protein productivity in chemostat culture of CHO cells.

Authors:  Mauricio Vergara; Mauro Torres; Andrea Müller; Verónica Avello; Cristian Acevedo; Julio Berrios; Juan G Reyes; Norma A Valdez-Cruz; Claudia Altamirano
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

5.  A Novel Approach for Non-Invasive Continuous In-Line Control of Perfusion Cell Cultivations by Raman Spectroscopy.

Authors:  A Graf; J Lemke; M Schulze; R Soeldner; K Rebner; M Hoehse; J Matuszczyk
Journal:  Front Bioeng Biotechnol       Date:  2022-04-25

6.  Screen-Printed Glucose Sensors Modified with Cellulose Nanocrystals (CNCs) for Cell Culture Monitoring.

Authors:  Ye Tang; Konstantinos Petropoulos; Felix Kurth; Hui Gao; Davide Migliorelli; Olivier Guenat; Silvia Generelli
Journal:  Biosensors (Basel)       Date:  2020-09-13

7.  Mapping the molecular basis for growth related phenotypes in industrial producer CHO cell lines using differential proteomic analysis.

Authors:  Laura Bryan; Michael Henry; Ronan M Kelly; Christopher C Frye; Matthew D Osborne; Martin Clynes; Paula Meleady
Journal:  BMC Biotechnol       Date:  2021-07-23       Impact factor: 2.563

  7 in total

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