Literature DB >> 19236938

Metabolic characterization of a hyper-productive state in an antibody producing NS0 myeloma cell line.

Soo Hean Gary Khoo1, Mohamed Al-Rubeai.   

Abstract

Metabolic profiling or metabolomics is the analysis of a larger number of small metabolic compounds within cells. While this technique has been utilized to study microbial and yeast strains under different physiochemical conditions, very little has been reported regarding its application in mammalian cell culture. Here, the physiological and metabolic changes observed during the proliferation arrest of an antibody producing GS-NS0 mouse myeloma cell line were studied using conventional biochemical analysis and one-dimensional nuclear magnetic resonance (NMR)-based metabolic profiling. Proliferation-arrested cells had increased antibody productivity, enhanced normalized mitochondrial membrane potential, and showed changes in the consumption of several amino acids. Further investigation into these physiological changes was carried out by (1)H NMR profiling followed by principle component analysis (PCA). The resulting data showed a clear separation of the arrested and control spectra that related to the altered metabolic state of the arrested culture. Metabolites associated with phosphatidylcholine homeostasis, lipid and fatty acid metabolism, and ascorbate formation were found to be present in significant amount in these cultures. Taken together, the results suggested that there was a link between the metabolic alterations and the hyper-productive state, possibly relating to vesicle recycling and secretory functions, and mechanism to counteract against the generation of reactive oxygen species. While the use of metabolic profiling is still in its infancy, its potential to enhance the understanding of physiological processes in mammalian cell lines used for antibody production is certain.

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Year:  2009        PMID: 19236938     DOI: 10.1016/j.ymben.2009.02.001

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  11 in total

1.  Enhancement of monoclonal antibody production in CHO cells by exposure to He-Ne laser radiation.

Authors:  Rana Ghaleb; Mariam Naciri; Rasoul Al-Majmaie; Amel Maki; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2013-08-14       Impact factor: 2.058

2.  (11)C-acetate as a new biomarker for PET/CT in patients with multiple myeloma: initial staging and postinduction response assessment.

Authors:  Chieh Lin; Chi-Lai Ho; Shu-Hang Ng; Po-Nan Wang; Yenlin Huang; Yu-Chun Lin; Tzung-Chih Tang; Shu-Fan Tsai; Alain Rahmouni; Tzu-Chen Yen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-10-16       Impact factor: 9.236

3.  Proton NMR-based metabolite analyses of archived serial paired serum and urine samples from myeloma patients at different stages of disease activity identifies acetylcarnitine as a novel marker of active disease.

Authors:  Alessia Lodi; Stefano Tiziani; Farhat L Khanim; Ulrich L Günther; Mark R Viant; Gareth J Morgan; Christopher M Bunce; Mark T Drayson
Journal:  PLoS One       Date:  2013-02-19       Impact factor: 3.240

4.  The Saccharomyces cerevisiae pheromone-response is a metabolically active stationary phase for bio-production.

Authors:  Thomas C Williams; Bingyin Peng; Claudia E Vickers; Lars K Nielsen
Journal:  Metab Eng Commun       Date:  2016-05-11

5.  Metabolic characteristics revealing cell differentiation of nasopharyngeal carcinoma by combining NMR spectroscopy with Raman spectroscopy.

Authors:  Yang Chen; Zhong Chen; Ying Su; Donghong Lin; Min Chen; Shangyuan Feng; Changyan Zou
Journal:  Cancer Cell Int       Date:  2019-02-18       Impact factor: 5.722

6.  11C-acetate positron emission tomography is more precise than 18F-fluorodeoxyglucose positron emission tomography in evaluating tumor burden and predicting disease risk of multiple myeloma.

Authors:  Miao Chen; Wenjia Zhu; Jianhua Du; Chen Yang; Bing Han; Daobin Zhou; Li Huo; Junling Zhuang
Journal:  Sci Rep       Date:  2021-11-12       Impact factor: 4.379

7.  Diagnostic Value of 1H NMR-Based Metabolomics in Acute Lymphoblastic Leukemia, Acute Myeloid Leukemia, and Breast Cancer.

Authors:  Hanaa M Morad; Mohamed M Abou-Elzahab; Salah Aref; Ahmed M A El-Sokkary
Journal:  ACS Omega       Date:  2022-02-22

8.  A correction method for systematic error in (1)H-NMR time-course data validated through stochastic cell culture simulation.

Authors:  Stanislav Sokolenko; Marc G Aucoin
Journal:  BMC Syst Biol       Date:  2015-09-04

9.  Analysis of the Metabolic Characteristics of Serum Samples in Patients With Multiple Myeloma.

Authors:  Haiwei Du; Linyue Wang; Bo Liu; Jinying Wang; Haoxiang Su; Ting Zhang; Zhongxia Huang
Journal:  Front Pharmacol       Date:  2018-08-22       Impact factor: 5.810

Review 10.  Positron Emission Tomography (PET) Radiopharmaceuticals in Multiple Myeloma.

Authors:  Christos Sachpekidis; Hartmut Goldschmidt; Antonia Dimitrakopoulou-Strauss
Journal:  Molecules       Date:  2019-12-29       Impact factor: 4.411

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