Literature DB >> 35524776

Designing a novel E2-IFN-γ fusion protein against CSFV by immunoinformatics and structural vaccinology approaches.

Yanmin Zhang1, Weijian Zhang1, Jun Cheng1, Xuping Liu2, Shiwei Miao3, Wen-Song Tan1, Liang Zhao4.   

Abstract

Subunit vaccines with high purity and safety are gradually becoming a main trend in vaccinology. However, adjuvants such as interferon-gamma (IFN-γ) are required to enhance immune responses of subunit vaccines due to their poor immunogenicity. The conjugation of antigen with adjuvant can induce more potent immune responses compared to the mixture of antigen and adjuvant. At the same time, the selection of linker, indispensable in the construction of the stable and bioactive fusion proteins, is complicated and time-consuming. The development of immunoinformatics and structural vaccinology approaches provides a means to address the abovementioned problem. Therefore, in this study, a E2-IFN-γ fusion protein with an optimal linker (E2-R2-PIFN) was designed by bioinformatics approaches to improve the immunogenicity of the classical swine fever virus (CSFV) E2 subunit vaccine. Moreover, the E2-R2-PIFN fusion protein was expressed in HEK293T cells and the biological effects of IFN-γ in E2-R2-PIFN were confirmed in vitro via Western blotting. Here, an alternative method is utilized to simplify the design and validation of the antigen-adjuvant fusion protein, providing a potential subunit vaccine candidate against CSFV. KEY POINTS: • An effective and simple workflow of antigen-adjuvant fusion protein design and validation was established by immunoinformatics and structural vaccinology. • A novel E2-IFN-γ fusion protein with an optimal linker was designed as a potential CSFV vaccine. • The bioactivity of the newly designed fusion protein was preliminarily validated through in vitro experiments.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  CSFV E2 protein; Fusion protein; IFN-γ; Immunoinformatics; Linker; Structural vaccinology

Mesh:

Substances:

Year:  2022        PMID: 35524776     DOI: 10.1007/s00253-022-11919-w

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  40 in total

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Authors:  Chih-Yuan Cheng; Ching-Wei Wu; Guang-Jan Lin; Wei-Cheng Lee; Maw-Sheng Chien; Chienjin Huang
Journal:  J Biotechnol       Date:  2014-01-24       Impact factor: 3.307

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8.  Inhibition of the immunoproteasome ameliorates experimental autoimmune encephalomyelitis.

Authors:  Michael Basler; Sarah Mundt; Tony Muchamuel; Carlo Moll; Jing Jiang; Marcus Groettrup; Christopher J Kirk
Journal:  EMBO Mol Med       Date:  2014-01-16       Impact factor: 12.137

9.  Designing a multi-epitope based vaccine to combat Kaposi Sarcoma utilizing immunoinformatics approach.

Authors:  Varun Chauhan; Tripti Rungta; Kapil Goyal; Mini P Singh
Journal:  Sci Rep       Date:  2019-02-21       Impact factor: 4.379

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Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Eric W Sayers
Journal:  Nucleic Acids Res       Date:  2009-11-12       Impact factor: 16.971

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