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Transcriptional profiling of batch and fed-batch protein-free 293-HEK cultures. | LitMetric

Transcriptional profiling of batch and fed-batch protein-free 293-HEK cultures.

Metab Eng

Bioprocessing Technology Institute, Agency for Science Technology and Research (A*STAR), 20 Biopolis Way, #06-01 Centros, Singapore 138668, Singapore.

Published: January 2007

AI Article Synopsis

  • The study achieved a 4-fold increase in 293-HEK cell concentrations in protein-free fed-batch cultures by dynamically controlling nutrient feeding and maintaining low glutamine levels.
  • This approach not only reduced the consumption of glutamine and glucose but also decreased lactate and ammonia production.
  • Additionally, the fed-batch cultures yielded a significant increase in virus production, reaching titers 10,000-fold higher than traditional batch cultures, while a DNA microarray analysis provided insights into the transcriptional changes linked to metabolic regulation.

Article Abstract

Dynamic nutrient feeding to control glutamine at low levels in protein-free fed-batch cultures of 293-human embryonic kidney (HEK) cells achieved cell concentrations of 6 x 10(6) cells/ml. This represented a 4-fold improvement in cell concentration compared to batch cultures. Reduction in glutamine and glucose consumption, as well as lactate and ammonia production, were also observed in these fed-batch cultures. High virus production titers of 3 x 10(11) pfu/ml were achieved in fed-batch cultures which were 10,000-fold higher than batch cultures. An investigation of the transcriptional regulation of the metabolic changes associated with the batch and the low-glutamine fed-batch cultures using DNA microarray was conducted. This analysis provides better understanding of the transcriptional regulatory mechanism resulting in the observed physiological changes. Transcriptional profiling of cells from the mid-exponential, late exponential and stationary phases of both the batch and fed-batch were undertaken using an 18,000 element human chip. Transcriptional profiles were ontologically classified to provide a global view of the genetic changes. Furthermore, a pathway-oriented analysis focusing on cellular metabolism was conducted to reveal the dynamic regulation of genes related to amino acid metabolism, tRNA synthetases, TCA cycle, electron transport chain and glycolysis.

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Source
http://dx.doi.org/10.1016/j.ymben.2006.08.006DOI Listing

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