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Identification and analysis of B cell epitopes of hemagglutinin of H1N1 influenza virus

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Abstract The frequent variation of influenza virus hemagglutinin (HA) antigen is the main cause of influenza pandemic. Therefore, the study of B cell epitopes of HA is of great significance in the prevention and control of influenza virus. In this study, the cleavage vaccine of 2009 H1N1 influenza virus was used as immunogen, and the monoclonal antibodies (mAbs) were prepared by conventional hybridoma fusion and screening techniques. The characteristics of mAbs were identified by ELISA method, Western-blot test and hemagglutination inhibition test (HI). Using the obtained mAbs as a tool, the B cell epitopes of HA were predicted by ELISA blocking test, sandwich ELISA method and computer simulation method. Finally, four mAbs against HA antigen of H1N1 influenza virus were obtained. The results of ELISA and computer prediction showed that there were at least two types of epitopes on HA of influenza virus. This study provides experimental data for improving the prediction of HA epitopes of influenza viruses and developing potential influenza vaccines, and also provides a new method for the prediction of other pathogenic microorganisms.
Title: Identification and analysis of B cell epitopes of hemagglutinin of H1N1 influenza virus
Description:
Abstract The frequent variation of influenza virus hemagglutinin (HA) antigen is the main cause of influenza pandemic.
Therefore, the study of B cell epitopes of HA is of great significance in the prevention and control of influenza virus.
In this study, the cleavage vaccine of 2009 H1N1 influenza virus was used as immunogen, and the monoclonal antibodies (mAbs) were prepared by conventional hybridoma fusion and screening techniques.
The characteristics of mAbs were identified by ELISA method, Western-blot test and hemagglutination inhibition test (HI).
Using the obtained mAbs as a tool, the B cell epitopes of HA were predicted by ELISA blocking test, sandwich ELISA method and computer simulation method.
Finally, four mAbs against HA antigen of H1N1 influenza virus were obtained.
The results of ELISA and computer prediction showed that there were at least two types of epitopes on HA of influenza virus.
This study provides experimental data for improving the prediction of HA epitopes of influenza viruses and developing potential influenza vaccines, and also provides a new method for the prediction of other pathogenic microorganisms.

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