@Article{JFBI-8-207,
author = {Zhi Li, Xuan Liu, Yi Li, Xiqian Lan, Polly Hang-mei Leung, Jiashen Li and Gang Li },
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}
}