Literature DB >> 14687967

Large scale gene expression profiling of metabolic shift of mammalian cells in culture.

Rashmi Korke1, Marcela de Leon Gatti, Ally Lei Yin Lau, Justin Wee Eng Lim, Teck Keong Seow, Maxey Ching Ming Chung, Wei-Shou Hu.   

Abstract

The metabolic state of hybridoma cells in continuous culture varies with the cultivation condition from which the culture is initiated. At a metabolically shifted state, cells have markedly reduced glucose and other nutrient consumption and lactate production as compared to cells in batch culture or in continuous culture without a metabolic shift. Taking a combined genomics and proteomics approach, we investigated the molecular mechanism of metabolic shift. Cells from continuous cultures at two different steady states with a glucose consumption to lactate production molar ratio (DeltaL/DeltaG) of 0.08 and 1.4 were studied. Affymetrix GeneChips as well as cDNA microarrays were employed to identify differentially expressed mRNA transcripts, and the differentially expressed proteins were identified using the 2D gel electrophoresis-mass spectrometry approach. The decrease in glucose metabolism upon metabolic shift is accompanied by a decrease in gene expression of a number of genes involved in its metabolism. However, the number of genes differentially expressed and the extent of differential expression upon metabolic shift are relatively moderate. The change in the expression of metabolic genes at the transcriptional level was confirmed by real time PCR. The results suggest that metabolic shift is a combined effect of both biochemical events at reaction level and gene expression at transcription and translation level. This approach of integrating transcriptional profiling, proteomic techniques and biochemical analysis provides a more global view of the metabolism of mammalian cells in culture.

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Year:  2004        PMID: 14687967     DOI: 10.1016/j.jbiotec.2003.09.007

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  11 in total

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Journal:  Biotechnol Adv       Date:  2011-11-04       Impact factor: 14.227

2.  Verhulst and stochastic models for comparing mechanisms of MAb productivity in six CHO cell lines.

Authors:  Nishikant Shirsat; Mohd Avesh; Niall J English; Brian Glennon; Mohamed Al-Rubeai
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3.  Proteomic profiling of recombinant cells from large-scale mammalian cell culture processes.

Authors:  Paula Meleady
Journal:  Cytotechnology       Date:  2007-02-24       Impact factor: 2.058

4.  Toward genomic cell culture engineering.

Authors:  Katie F Wlaschin; Gargi Seth; Wei-Shou Hu
Journal:  Cytotechnology       Date:  2006-07-25       Impact factor: 2.058

5.  Glycosylation-related genes in NS0 cells are insensitive to moderately elevated ammonium concentrations.

Authors:  Arthur Nathan Brodsky; Mary Caldwell; Sooneon Bae; Sarah W Harcum
Journal:  J Biotechnol       Date:  2014-07-23       Impact factor: 3.307

6.  Revisiting Verhulst and Monod models: analysis of batch and fed-batch cultures.

Authors:  Nishikant Shirsat; Avesh Mohd; Jessica Whelan; Niall J English; Brian Glennon; Mohamed Al-Rubeai
Journal:  Cytotechnology       Date:  2014-04-05       Impact factor: 2.058

7.  Glycosylation and post-translational modification gene expression analysis by DNA microarrays for cultured mammalian cells.

Authors:  Arthur Nathan Brodsky; Mary Caldwell; Sarah W Harcum
Journal:  Methods       Date:  2011-10-19       Impact factor: 3.608

Review 8.  Current state and recent advances in biopharmaceutical production in Escherichia coli, yeasts and mammalian cells.

Authors:  Aleš Berlec; Borut Strukelj
Journal:  J Ind Microbiol Biotechnol       Date:  2013-02-06       Impact factor: 3.346

9.  A multi-omics analysis of recombinant protein production in Hek293 cells.

Authors:  Stefanie Dietmair; Mark P Hodson; Lake-Ee Quek; Nicholas E Timmins; Peter Gray; Lars K Nielsen
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

10.  Synergizing metabolic flux analysis and nucleotide sugar metabolism to understand the control of glycosylation of recombinant protein in CHO cells.

Authors:  Susan C Burleigh; Teun van de Laar; Corné J M Stroop; Wout M J van Grunsven; Niaobh O'Donoghue; Pauline M Rudd; Gavin P Davey
Journal:  BMC Biotechnol       Date:  2011-10-18       Impact factor: 2.563

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