Gene gymnastics Synthetic biology for baculovirus expression vector system engineering

被引:32
作者
Vijayachandran, Lakshmi S. [1 ,2 ]
Raj, Deepak B. Thimiri Govinda [1 ,2 ]
Edelweiss, Evelina [1 ,2 ,3 ]
Gupta, Kapil [1 ,2 ]
Maier, Josef [4 ]
Gordeliy, Valentin [3 ]
Fitzgerald, Daniel J. [5 ]
Berger, Imre [1 ,2 ]
机构
[1] UJF EMBL CNRS, EMBL, Grenoble Outstn, UMR 5233, Grenoble, France
[2] UJF EMBL CNRS, UVHCI, UMR 5233, Grenoble, France
[3] UMR5075 CEA CNRS Univ Joseph Fourier, IBS, Grenoble, France
[4] Informat Serv Life Sci IStLS, Oberndorf, Germany
[5] Geneva Biotech, Geneva, Switzerland
关键词
baculovirus; BEVS; multiprotein complexes; MultiBac; OmniBac comparative genome analysis; recombinant protein production; INFECTED INSECT CELLS; NON-HR ORIGIN; MULTIPROTEIN EXPRESSION; MAMMALIAN-CELLS; DNA-REPLICATION; COMPLEXES; PASSAGE;
D O I
10.4161/bioe.22966
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Most essential activities in eukaryotic cells are catalyzed by large multiprotein assemblies containing up to ten or more interlocking subunits. The vast majority of these protein complexes are not easily accessible for high resolution studies aimed at unlocking their mechanisms, due to their low cellular abundance and high heterogeneity. Recombinant overproduction can resolve this bottleneck and baculovirus expression vector systems (BEVS) have emerged as particularly powerful tools for the provision of eukaryotic multiprotein complexes in high quality and quantity. Recently, synthetic biology approaches have begun to make their mark in improving existing BEVS reagents by de novo design of streamlined transfer plasmids and by engineering the baculovirus genome. Here we present OmniBac, comprising new custom designed reagents that further facilitate the integration of heterologous genes into the baculovirus genome for multiprotein expression. Based on comparative genome analysis and data mining, we herein present a blueprint to custom design and engineer the entire baculovirus genome for optimized production properties using a bottom-up synthetic biology approach.
引用
收藏
页码:279 / 287
页数:9
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