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Enhanced production of porcine circovirus type 2 (PCV2) virus-like particles in Sf9 cells by translational enhancers

Overview of attention for article published in Biotechnology Techniques, May 2015
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Title
Enhanced production of porcine circovirus type 2 (PCV2) virus-like particles in Sf9 cells by translational enhancers
Published in
Biotechnology Techniques, May 2015
DOI 10.1007/s10529-015-1856-7
Pubmed ID
Authors

Yangkun Liu, Yuanyuan Zhang, Lunguang Yao, Huafang Hao, Xiangjing Fu, Zengqi Yang, Enqi Du

Abstract

To investigate the effect of three translational enhancers for enhancing transgene expression in baculovirus expression vector system using GFP as a reporter gene and selected translational enhancers to increase porcine circovirus type 2 (PCV2) VLPs production. P10UTR (the 3'-untranslated region from the baculovirus p10 gene), Syn21 (a synthetic AT-rich 21-bp sequence) and P10UTR/Syn21 increased the GFP yield by 1.4-, 4- and 4.8-fold, respectively. While IVS (intron from Drosophila myosin heavy chain gene) decreased the GFP yield by 65 %. Moreover, the synergy of P10UTR/Syn21 increased the yield of PCV2 VLPs by 4.1 fold (45 μg/10(6) cells) compared with standard baculovirus vector. The synergy of P10UTR/Syn21 is a potential strategy to improve the recombinant vaccine production besides PCV2 VLPs in BEVS.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 4 24%
Veterinary Science and Veterinary Medicine 2 12%
Earth and Planetary Sciences 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 4 24%