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Expression and Purification of Proliferating Cell Nuclear Antigen in Spodoptera frugiperda Cells |
Jun-jun CHEN1,Ying LOU1,Yuan-xing ZHANG1,2,3,Qin LIU1,2,3,Xiao-hong LIU1,2,**() |
1 East China University of Science and Technology, Shanghai 200237, China 2 Shanghai Engineering Research Centers of Maricultured Animal Vaccines, Shanghai 200237, China 3 Shanghai Collaborative Innovation Center for Biomanufacturing, Shanghai 200237, China |
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Abstract Objetive: The object is to produce recombinant human proliferating cell nuclear antigen (PCNA) protein using insect cell expression system and purify and identify its antibody binding characterization. Methods: Human PCNA gene was amplified from HeLa cells and cloned into the baculovirus vector AcMNPV. Using insect cells, the recombinant baculovirus containing the PCNA gene was obtained. The virus infected the cells to express the protein, which was reached high purity by combining the nickel column affinity chromatography and the ion exchange chromatography. ELISA method was set to identify its binding activity. Results: Full length recombinant human PCNA (rPCNA) was produced in a baculovirus expression system. The optimal multiplicity of infection (MOI) value and infected time were 0.05h and 144h respectively. The produced protein samples were subsequently purified by a two-step procedure, including Ni-NTA affinity chromatography and ion exchange chromatography. The yield of rPCNA was up to 110mg/L cell culture, with a purity > 95% by SDS-PAGE. Indirect ELISA results showed that antibody binding activity of rPCNA was much higher than that of PCNA expressed by E. coli and rPCNA took a sensitivity and specificity of 93.3% and 85.0%, respectively. Conclusions: An expression and purification procedure for rPCNA and the produced rPCNA presented high antibody binding characterization were established which would have great potential applications on diagnosis of PCNA-associated diseases in vitro.
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Received: 26 February 2018
Published: 13 August 2018
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Corresponding Authors:
Xiao-hong LIU
E-mail: liuxiaohong@ecust.edu.cn
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