食品科学 ›› 2010, Vol. 31 ›› Issue (23): 406-410.doi: 10.7506/spkx1002-6630-201023090

• 专题论述 • 上一篇    下一篇

食物过敏原表位定位技术的研究进展

武 涌1,2,李 欣1,3,陈红兵1,2,*,高金燕3   

  1. 1.南昌大学 食品科学与技术国家重点实验室
    2.南昌大学中德联合研究院
    3.南昌大学生命科学与食品工程学院食品系
  • 收稿日期:2010-08-12 出版日期:2010-12-15 发布日期:2010-12-29
  • 通讯作者: 陈红兵 E-mail:chbgjy@hotmail.com
  • 基金资助:

    教育部“新世纪优秀人才支持计划”项目(NCET-08-07-04);国家自然科学基金项目(30860220);
    南昌大学食品科学与技术国家重点实验室目标导向项目(SKLF-MB-200807);江西省青年科学基金项目(2009GQN0089)

Research Progress on the Epitope Mapping Technology for Food Allergens

WU Yong1,2,LI Xin1,3,CHEN Hong-bing1,2,*,GAO Jin-yan3   

  1. 1. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China;
    2. Sino-German Joint Research Institute, Nanchang University, Nanchang 330047, China;
    3. Department of Food Science, School of Life Sciences and Food Engineering, Nanchang University, Nanchang 330047, Ch
  • Received:2010-08-12 Online:2010-12-15 Published:2010-12-29
  • Contact: CHEN Hong-bing E-mail:chbgjy@hotmail.com

摘要:

表位是过敏原的物质基础,表位定位技术是过敏原表位研究的工具,包括表位定位和表位预测两种。新的表位定位技术主要包括噬菌体展示技术、质谱技术、表面等离子共振技术、蛋白芯片技术、核磁共振技术。相比于传统的过敏原表位定位技术,新的表位定位技术在灵敏度、准确性和快速等方面具有优势。表位预测是运用生物信息学方法对过敏原表位进行预测。本文将对新的表位定位技术在表位定位中的应用、表位预测以及相关应用进展进行阐述。

关键词: 食物过敏, 表位定位技术, 表位预测

Abstract:

Epitopes is the material basis of allergens. Epitope mapping technology is the tool for studying allergen epitopes, which involves epitope mapping and epitope prediction. In recent years, there have been some newly emerging epitope mapping technologies include phage display techniques, mass spectrometry, surface plasmon resonance, protein microarray and nuclear magnetic resonance. Compared with the traditional epitope mapping technology, they have advantages of high sensitivity and accuracy as well as rapidity. Epitope prediction is a prediction of allergen epitopes achieved by means of the bioinformatics methods. This paper reviews the applications of the aforementioned epitope mapping technologies in epitope prediction and research progresses on epitope prediction.

Key words: food allergy, epitope mapping technology, epitope prediction

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