中国畜牧兽医 ›› 2024, Vol. 51 ›› Issue (10): 4522-4530.doi: 10.16431/j.cnki.1671-7236.2024.10.032

• 预防兽医 • 上一篇    

猪流行性腹泻病毒N蛋白原核表达及多克隆抗体制备

吴婕2, 杜菁2, 樊繁2, 任金阳2, 卢会鹏1, 张力1, 雷昕诺1, 曹世诺1, 吴植1, 朱睿1, 朱善元1   

  1. 1. 江苏农牧科技职业学院, 江苏省兽用生物制药高技术研究重点实验室, 江苏现代畜牧与新兽药工程技术中心, 泰州 225300;
    2. 江苏农牧科技职业学院, 泰州 225300
  • 收稿日期:2024-02-07 发布日期:2024-09-30
  • 通讯作者: 朱睿, 朱善元 E-mail:rzhu2021@jsahvc.edu.cn;jstzzsy@126.com
  • 作者简介:吴婕,E-mail:3553117481@qq.com。
  • 基金资助:
    西藏自治区科技重大专项项目(XZ202101ZD0005N);江苏农牧科技职业学院校级科研项目(NSF2022CB15);江苏农牧科技职业学院科技创新团队项目(NSF2023TC01)

Prokaryotic Expression of N Protein of Porcine Epidemic Diarrhea Virus and Preparation of Polyclonal Antibodies

WU Jie2, DU Jing2, FAN Fan2, REN Jinyang2, LU Huipeng1, ZHANG Li1, LEI Xinnuo1, CAO Shinuo1, WU Zhi1, ZHU Rui1, ZHU Shanyuan1   

  1. 1. Engineering Technology Research Center for Modern Animal Science and Novel Veterinary Pharmaceutic Development, Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China;
    2. Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China
  • Received:2024-02-07 Published:2024-09-30

摘要: 【目的】 利用原核表达系统表达猪流行性腹泻病毒(Porcine epidemic diarrhea virus,PEDV)核衣壳蛋白(N),并制备具有高效价和特异性强的多克隆抗体。【方法】 利用生物信息学工具分析PEDV N蛋白氨基酸序列,并预测其抗原性;利用原核表达载体pColdⅠ诱导表达重组N蛋白,并通过SDS-PAGE和Western blotting鉴定重组蛋白;使用兔多抗制备佐剂与纯化后的重组N蛋白混合后免疫新西兰白兔,收集血清制备多克隆抗体。利用间接ELISA法测定重组N蛋白多克隆抗体效价,并对多克隆抗体进行Western blotting和间接免疫荧光试验(IFA)验证。【结果】 生物信息学预测结果显示,N蛋白不含信号肽和跨膜结构,具有良好的抗原性和溶解度。SDS-PAGE电泳结果显示,重组N蛋白大小约为58 ku,主要以可溶性蛋白存在;Western blotting结果显示,该蛋白能与抗His标签的鼠源单克隆抗体发生特异性反应。间接ELISA结果显示,多克隆抗体效价可达1∶204 800;Western blotting结果表明,抗体稀释度为1∶5 000时能特异性识别重组N蛋白及PEDV感染后的Vero细胞样品中的N蛋白;IFA结果显示,当稀释度为1∶1 000时,该抗体能有效识别PEDV感染细胞样品中的N蛋白。【结论】 本研究成功制备了效价高和特异性好的兔抗N蛋白多克隆抗体,为深入研究PEDV N蛋白的功能、了解PEDV复制机制和病毒-宿主细胞间的互作提供试验材料,为开发PEDV诊断和检测方法奠定基础。

关键词: 猪流行性腹泻病毒(PEDV); N蛋白; 原核表达; 多克隆抗体

Abstract: 【Objective】 The purpose of this study was to express the N protein of Porcine epidemic diarrhea virus (PEDV) using a prokaryotic expression system,and prepare polyclonal antibody with high efficiency and specificity.【Method】 Bioinformatics tools were used to analyze the amino acid sequence of PEDV N protein and predict its antigenicity. Recombinant N protein was induced by prokaryotic expression vector pColdⅠ,and the recombinant protein was identified by SDS-PAGE and Western blotting. New Zealand White rabbits were immunized with the preparation adjuvant of rabbit polyclonal antibody mixed with purified recombinant N protein,and serum was collected to prepare polyclonal antibody. The titer of recombinant N protein polyclonal antibody was determined by indirect ELISA,and the polyclonal antibody was verified by Western blotting and indirect immunofluorescence assay (IFA).【Result】 The results of bioinformatics prediction show that N protein didn’t contain signal peptide and transmembrane structure,and had good antigenicity and solubility. SDS-PAGE results showed that the recombinant N protein approximately 58 ku in size,existed primarily in a soluble form. Western blotting revealed that the protein specifically react with anti-His labeled mouse monoclonal antibodies . Indirect ELISA results demonstrated that the titer of polyclonal antibody could reach 1∶ 204 800. Western blotting results showed that recombinant N protein and N protein in PEDV infected Vero cell samples could be specifically identified when the antibody dilution was 1∶5 000. IFA results showed that when the dilution was 1∶1 000,the antibody could effectively identify N protein in PEDV-infected cell samples.【Conclusion】 The rabbit anti-N protein polyclonal antibody with high efficiency and good specificity was successfully prepared,providing experimental materials for further study of PEDV N protein function,understanding PEDV replication mechanism and virus-host cell interaction,and laying a foundation for the development of PEDV diagnosis and detection methods.

Key words: Porcine epidemic diarrhea virus (PEDV); N protein; prokaryotic expression; polyclonal antibody

中图分类号: