Literature DB >> 15806383

Using a kinetic model that considers cell segregation to optimize hEGF expression in fed-batch cultures of recombinant Escherichia coli.

Zhi-Yong Zheng1, Shan-Jing Yao, Dong-Qiang Lin.   

Abstract

Growth inhibition of recombinant Escherichia coli during the expression of human epidermal growth factor was observed. The recombinant cells could be segregated into three populations based on their cell division and plasmid maintenance abilities: dividing and plasmid-bearing cells, dividing and plasmid-free cells, and viable-but-non-culturable (VBNC) cells. Fed-batch fermentations were performed to investigate the effect of cell segregation on the kinetics of growth and foreign protein production. The results showed that a low concentration of inducer caused weak induction, whereas high levels cause strong induction, resulting in cells segregating into VBNC bacteria and producing a low foreign protein yield. A kinetic model for cell segregation was proposed and its predictions correlated well with experimental data for cell growth and protein expression. The optimal induction strategy could then be predicted by the model, and this prediction was then verified by experimentally deriving the conditions necessary for maximum expression of recombinant protein.

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Year:  2005        PMID: 15806383     DOI: 10.1007/s00449-004-0376-y

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


  2 in total

1.  Effect of temperature on the production of a recombinant antivenom in fed-batch mode.

Authors:  Susana María Alonso Villela; Hazar Ghezal-Kraïem; Balkiss Bouhaouala-Zahar; Carine Bideaux; César Arturo Aceves Lara; Luc Fillaudeau
Journal:  Appl Microbiol Biotechnol       Date:  2021-01-14       Impact factor: 4.813

2.  Variation in the nature of organic acid secretion and mineral phosphate solubilization by Citrobacter sp. DHRSS in the presence of different sugars.

Authors:  Divya K Patel; G Archana; G Naresh Kumar
Journal:  Curr Microbiol       Date:  2007-10-27       Impact factor: 2.188

  2 in total

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