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

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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.

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Authors

Contributions

YZ, XL, SM, WT, and LZ conceived and designed the research. YZ conducted experiments. YZ, WZ, JC, and LZ wrote the manuscript. All authors read and approved the manuscript.

Corresponding author

Correspondence to Liang Zhao.

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This work does not involve any human participation nor live animals performed by any of the listed authors.

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The authors declare no competing interests.

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Zhang, Y., Zhang, W., Cheng, J. et al. Designing a novel E2-IFN-γ fusion protein against CSFV by immunoinformatics and structural vaccinology approaches. Appl Microbiol Biotechnol 106, 3611–3623 (2022). https://doi.org/10.1007/s00253-022-11919-w

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  • DOI: https://doi.org/10.1007/s00253-022-11919-w

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