Food Safety Laboratory, Ocean University of China, Qingdao 266003, PR China.
Food Chem Toxicol. 2011 Nov;49(11):2954-60. doi: 10.1016/j.fct.2011.07.043. Epub 2011 Jul 23.
Tropomyosin, a myofibrillar protein, was described as the major allergen in crustaceans. The objective of this study was to screen and identify the linear IgE epitopes of tropomyosin in Penaeus monodon. Three immunoinformatics tools were used to predict the potential epitopes and the resultant epitopes were confirmed by dot-blot inhibition with sera from shrimp allergic subjects. As the result, 10 peptides were predicted and assembled by solid-phase synthesis. Eight epitopes were identified by dot-blot inhibition test, among which peptide 4 and 8 had not been reported by previous researches. Moreover, peptide 6 and 10 had IgE binding capability with all sera, while peptide 5, 8 and 9 could bind with 80% of the sera. Amino acid analysis demonstrated that Y, E, R, F and S presented more frequently in epitopes. Although further research should be done, it seems that immunoinformatics-driven epitope prediction can benefit epitope identification with high accuracy and efficiency.
原肌球蛋白是一种肌原纤维蛋白，被描述为甲壳类动物中的主要过敏原。本研究的目的是筛选和鉴定斑节对虾原肌球蛋白的线性 IgE 表位。使用三种免疫信息学工具来预测潜在的表位，并用虾过敏患者的血清进行点印迹抑制实验来验证预测结果。结果，通过固相合成预测并组装了 10 个肽。通过点印迹抑制试验鉴定出 8 个表位，其中 4 号和 8 号肽段以前的研究中没有报道过。此外，6 号和 10 号肽段与所有血清均具有 IgE 结合能力，而 5 号、8 号和 9 号肽段可以与 80%的血清结合。氨基酸分析表明，Y、E、R、F 和 S 在表位中出现的频率更高。尽管还需要进一步研究，但似乎基于免疫信息学的表位预测可以以较高的准确性和效率促进表位鉴定。
