H1N1 influenza virus epitopes classified by monoclonal antibodies

Guo,Chunyan; Zhang,Haixiang; Xie,Xin; Liu,Yang; Sun,Lijun; Li,Huijin; Yu,Pengbo; Hu,Hanyu; Sun,Jingying; Li,Yuan; Feng,Qing; Zhao,Xiangrong; Liang,Daoyan; Wang,Zhen; Hu,Jun

doi:10.3892/etm.2018.6429

H1N1 influenza virus epitopes classified by monoclonal antibodies

Authors:
- Chunyan Guo
- Haixiang Zhang
- Xin Xie
- Yang Liu
- Lijun Sun
- Huijin Li
- Pengbo Yu
- Hanyu Hu
- Jingying Sun
- Yuan Li
- Qing Feng
- Xiangrong Zhao
- Daoyan Liang
- Zhen Wang
- Jun Hu
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Affiliations: Central Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, P.R. China, Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, P.R. China, Shaanxi Key Laboratory of Ischemic Cardiovascular Disease, Institute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, Shaanxi 710021, P.R. China, Center of Shaanxi Provincial Disease Control and Prevention, Institute of Viral Diseases, Xi'an, Shaanxi 710052, P.R. China
Published online on: July 9, 2018 https://doi.org/10.3892/etm.2018.6429
Pages: 2001-2007
Copyright: © Guo et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Epitopes serve an important role in influenza infection. It may be useful to screen universal influenza virus vaccines, analyzing the epitopes of multiple subtypes of the hemagglutinin (HA) protein. A total of 40 monoclonal antibodies (mAbs) previously obtained from flu virus HA antigens (development and characterization of 40 mAbs generated using H1N1 influenza virus split vaccines were previously published) were used to detect and classify mAbs into distinct flu virus sub‑categories using the ELISA method. Following this, the common continuous amino acid sequences were identified by multiple sequence alignment analysis with the GenBank database and DNAMAN software, for use in predicting the epitopes of the HA protein. Synthesized peptides of these common sequences were prepared, and used to verify and determine the predicted linear epitopes through localization and distribution analyses. With these methods, nine HA linear epitopes distributed among different strains of influenza virus were identified, which included three from influenza A, four from 2009 H1N1 and seasonal influenza, and two from H1. The present study showed that considering a combination of the antigen‑antibody reaction specificity, variation in the influenza virus HA protein and linear epitopes may present a useful approach for designing effective multi‑epitope vaccines. Furthermore, the study aimed to clarify the cause and pathogenic mechanism of influenza virus HA‑induced flu, and presents a novel idea for identifying the epitopes of other pathogenic microorganisms.

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