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Highly efficient strategy for the heterologous expression and purification of soluble Cowpea chlorotic mottle virus capsid protein and in vitro pH-dependent assembly of virus-like particles

Overview of attention for article published in Journal of Virological Methods, September 2015
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Title
Highly efficient strategy for the heterologous expression and purification of soluble Cowpea chlorotic mottle virus capsid protein and in vitro pH-dependent assembly of virus-like particles
Published in
Journal of Virological Methods, September 2015
DOI 10.1016/j.jviromet.2015.08.023
Pubmed ID
Authors

Armando Díaz-Valle, Yardena M. García-Salcedo, Gabriela Chávez-Calvillo, Laura Silva-Rosales, Mauricio Carrillo-Tripp

Abstract

Obtaining pure and soluble viral capsid proteins (CPs) has been a major challenge in the fields of science and technology in recent decades. In many cases, the CPs can self-assemble in the absence of a viral genome, resulting in non-infectious, empty virus-like particles (VLPs) which can be safely handled. The use of VLPs has found great potential in biotechnology and health purposes. In addition, VLPs are a good model system to study protein-protein interactions at the molecular level. In this work, an optimized strategy for the heterologous expression of the Cowpea chlorotic mottle virus (CCMV) CP based in Escherichia coli is described. The method is efficient, inexpensive and it consistently produces higher yields and greater purity levels than those reported so far. Additionally, one of the main advantages of this method is the prevention of the formation of inclusion bodies, thus allowing to directly obtain high amounts of the CP in a soluble and functionally active state with the capacity to readily form VLPs in vitro. The CCMV CP self-assembly pH dependence was also investigated, providing guidelines to easily modulate the process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Student > Bachelor 10 14%
Student > Master 10 14%
Researcher 7 10%
Student > Doctoral Student 7 10%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 30%
Agricultural and Biological Sciences 12 17%
Chemistry 11 16%
Immunology and Microbiology 2 3%
Engineering 2 3%
Other 4 6%
Unknown 17 25%