Volume 8, Issue 2
The Efficient Optimization of a Protein Expression by Design of Experiment

Zhi Li, Xuan Liu, Yi Li, Xiqian Lan, Polly Hang-mei Leung, Jiashen Li & Gang Li

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 207-220.

Published online: 2015-08

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  • Abstract

In terms of the prokaryotic expression system Escherichia coli, it is well-known that incubation temperature, OD_{600} value, isopropyl thiogalactoside concentration and time of induction are general factors which can directly affect the final protein's expression. The traditional method for this optimization is to study these factors which may influence the protein expression separately, thus, the interactions between factors are ignored. Design of experiment is a time-saving and cost-effective methodology for increasing the productivity and improving the quality of a product. In order to verify if design of experiment is suitable for the optimization of a protein expression and also to reveal if there is any interaction between the factors that have a significant influence on the protein's expression, the optimization of expression for the protein Bmlebocin3 was carried out using the design of experiment concept. Bmlebocin3 is an antimicrobial peptide in the silkworm, Bombyx mori. It has a unique precursor form which was suitable for this investigation. In this study, the Bmlebocin3 gene was cloned and expressed in Escherichia coli, and then this expression was optimized by design of experiment. The results revealed that through the use of design of experiment, in addition to quantifying the separate effects of the OD_{600} value and the time of induction, it demonstrated that, their interaction can significantly affect the expression of Bmlebocin3. Furthermore, the best condition for the Bmlebocin3 's expression was identified through fewer experiments. This proved that design of experiment can be used as an efficient way to optimize the protein expression.

  • Keywords

DoE Vector Construction Optimization Protein Expression Bmlebocin3

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@Article{JFBI-8-207, author = {}, title = {The Efficient Optimization of a Protein Expression by Design of Experiment}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {2}, pages = {207--220}, abstract = {In terms of the prokaryotic expression system Escherichia coli, it is well-known that incubation temperature, OD_{600} value, isopropyl thiogalactoside concentration and time of induction are general factors which can directly affect the final protein's expression. The traditional method for this optimization is to study these factors which may influence the protein expression separately, thus, the interactions between factors are ignored. Design of experiment is a time-saving and cost-effective methodology for increasing the productivity and improving the quality of a product. In order to verify if design of experiment is suitable for the optimization of a protein expression and also to reveal if there is any interaction between the factors that have a significant influence on the protein's expression, the optimization of expression for the protein Bmlebocin3 was carried out using the design of experiment concept. Bmlebocin3 is an antimicrobial peptide in the silkworm, Bombyx mori. It has a unique precursor form which was suitable for this investigation. In this study, the Bmlebocin3 gene was cloned and expressed in Escherichia coli, and then this expression was optimized by design of experiment. The results revealed that through the use of design of experiment, in addition to quantifying the separate effects of the OD_{600} value and the time of induction, it demonstrated that, their interaction can significantly affect the expression of Bmlebocin3. Furthermore, the best condition for the Bmlebocin3 's expression was identified through fewer experiments. This proved that design of experiment can be used as an efficient way to optimize the protein expression.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00131}, url = {http://global-sci.org/intro/article_detail/jfbi/4700.html} }
TY - JOUR T1 - The Efficient Optimization of a Protein Expression by Design of Experiment JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 207 EP - 220 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00131 UR - https://global-sci.org/intro/article_detail/jfbi/4700.html KW - DoE KW - Vector Construction KW - Optimization KW - Protein Expression KW - Bmlebocin3 AB - In terms of the prokaryotic expression system Escherichia coli, it is well-known that incubation temperature, OD_{600} value, isopropyl thiogalactoside concentration and time of induction are general factors which can directly affect the final protein's expression. The traditional method for this optimization is to study these factors which may influence the protein expression separately, thus, the interactions between factors are ignored. Design of experiment is a time-saving and cost-effective methodology for increasing the productivity and improving the quality of a product. In order to verify if design of experiment is suitable for the optimization of a protein expression and also to reveal if there is any interaction between the factors that have a significant influence on the protein's expression, the optimization of expression for the protein Bmlebocin3 was carried out using the design of experiment concept. Bmlebocin3 is an antimicrobial peptide in the silkworm, Bombyx mori. It has a unique precursor form which was suitable for this investigation. In this study, the Bmlebocin3 gene was cloned and expressed in Escherichia coli, and then this expression was optimized by design of experiment. The results revealed that through the use of design of experiment, in addition to quantifying the separate effects of the OD_{600} value and the time of induction, it demonstrated that, their interaction can significantly affect the expression of Bmlebocin3. Furthermore, the best condition for the Bmlebocin3 's expression was identified through fewer experiments. This proved that design of experiment can be used as an efficient way to optimize the protein expression.
Zhi Li, Xuan Liu, Yi Li, Xiqian Lan, Polly Hang-mei Leung, Jiashen Li & Gang Li . (2019). The Efficient Optimization of a Protein Expression by Design of Experiment. Journal of Fiber Bioengineering and Informatics. 8 (2). 207-220. doi:10.3993/jfbim00131
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