摘要
由于核桃Jug r 2是核桃中的主要过敏原,Jug r 2的线性表位是引发核桃过敏反应的关键因素,因此筛选Jug r 2线性表位工作是必要的。本研究利用免疫信息学中的DNAStar Protean系统和ABCpred在线工具预测Jug r 2中的B细胞线性表位。利用体外模拟胃肠消化和HPLC-MS/MS对抗消化肽段的一级序列进行分析,并对两种免疫信息学工具预测得到的B细胞线性表位和抗消化肽段在Jug r 2模拟三维结构上进行定位分析。结果表明:预测得到8个B细胞线性表位(AA186~199、AA226~230、AA257~263、AA284~289、AA373~382、AA389~398、AA408~414、AA472~487)和11个抗消化肽段(AA215~220、AA250~260、AA323~337、AA351~356、AA363~388、AA428~438、AA470~483、AA488~513、AA514~526、AA527~541、AA545~572)。在抗消化肽段中,4条与预测或已知真实的B细胞线性表位序列重合,8条与已知真实的T细胞表位序列重合,并且抗消化肽段在Jug r 2三维结构的定位中表现出亲水性和柔韧性的良好抗原性质。综上,研究食物过敏原的耐消化特性可能是研究Jug r 2的线性表位的一个潜在策略。
Jug r 2 is the major allergen of walnut.And the linear epitopes on Jug r 2 is a key factor in triggering a severe allergic reaction.Hence,the research on the efficient strategy for analyzing the linear epitopes of Jug r 2 is necessary.In our study,two immunoinformatic tools including DNAStar Protean and ABCpred were used to predict the B cells linear epitopes on Jug r 2.In vitro simulated gastrointestinal digestion and HPLC-MS/MS were used to identify anti-digestion peptides.And anti-digestion peptides were located on the 3D model of Jug r 2.The results showed that eight predicted B cells linear epitopes were AA186-199,AA226-230,AA257-263,AA284-289,AA373-382,AA389-398,AA408-414,AA472-487;eleven anti-digestion peptides were AA215~220,AA250~260,AA323~337,AA351~356,AA363~388,AA428~438,AA470~483,AA488~513,AA514~526,AA527~541,AA545~572.Of all anti-digestion peptides,four coincided with the predicted or true B cells linear epitope sequences and eight coincided with true T cells epitopes sequences.Anti-digestion peptides showed good antigenic properties in hydrophilic and flexible on the localization of Jug r 23D structure.Therefore,the anti-digestion property of food allergens may be a promising direction for studying linear epitopes of Jug r 2.
作者
郝梦真
李欣芮
牟瑶
陈锡
车会莲
Hao Mengzhen;Li Xinrui;Mu Yao;Chen Xi;Che Huilian(College of Food Science&Nutritional Engineering,China Agricultural University,Beijing Laboratory for Food Quality and Safety,Beijing 100083)
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2022年第2期1-10,共10页
Journal of Chinese Institute Of Food Science and Technology
基金
国家自然科学基金项目(81573158)。
