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Prediction on Antigenic Epitope Characteristics of Gly m 4 Protein in Soybean(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2017年03期
Page:
365-370
Research Field:
Publishing date:

Info

Title:
Prediction on Antigenic Epitope Characteristics of Gly m 4 Protein in Soybean
Author(s):
GUO Xiao-xiao1;  LI Wen2;  WANG Yong-fei1;  HE Ying2;  HUANG Yu-yi2;  ZOU Ze-hong2
(1.Department of Biotechnology, Jinan University, Guangzhou 510632, China; 2.The Second Affiliated Hospital of Guangzhou Medical University/The State Key Laboratory of Respiratory Disease/Sino French Hoffmann Institute/Guangdong Provincial Key Laboratory of Allergy & Clinical Immunology/The State Key Clinical Specialty in Allergy/Guangzhou Municipal Research Center of Clinical and Translational Allergy, Guangzhou 510632, China)
Keywords:
Allergenicity;  Gly m 4;  B cell epitopes;  T cell epitope
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2017.03.0365
Abstract:
To analyze the physicochemical properties and structure of major Glycine max(Linn) Merr. allergen Gly m 4 protein using bioinformatics software and provide a reference for modifying the allergen Gly m 4 protein experimentally. The amino acid sequence of Gly m 4 protein was searched from NCBI database. The physicochemical properties were analyzed by ProtParam, the signal peptide of Gly m 4 protein was analyzed by SignalP 4.1 Server, the transmembrane helix was analyzed by TMHMM Server V 2.0, the B cell epitopes were predicted with DNAStar.The binding affinity between Gly m 4 protein and MHC-Ⅱ molecules was analyzed with NetMHCII 2.2 Server to predict the T cell epitopes. The results showed that Gly m 4 protein was stable and doesn′t possess any signal peptide and transmembrane helix, most secondary structures of Gly m 4 were turn regions.Prediction result suggested the potential B cell epitope of Gly m 4 were located in the region of 61-64, 93-94, 122-125, 127-130 and 134-137. Analysis of the binding affinity between Gly m 4 and MHC-Ⅱ molecules suggested the regions of 144-153 and 82-96 were the potential T cell epitopes.Human with HLA-DRB10701 alleles and HLA-DRB10101 alleles maybe more sensitive to Gly m 4 protein.This study facilitates to understand the antigen epitope of Gly m 4 protein and provides a reference to reduce the allergenicity of Gly m 4.

References:

［1］Warner J O, Kaliner M A, Crisci C D, et al.Allergy practice worldwide: A report by the world allergy organization specialty and training council［J］. International Archives of Allergy and Immunology, 2006, 139(2): 166-174.

［2］Katz Y, Goldberg M R. Natural history of food proteininduced enterocolitis syndrome［J］. Current Opinion in Allergy and Clinical Immunology, 2014, 14(3): 229-239.［3］Boyce J A, Assa′ad A, Burks A W, et al. Guidelines for the diagnosis and management of food allergy in the united states: Summary of the niaidsponsored expert panel report［J］. Nutrition Research, 2011, 31(1): 61-75.
［4］Ito K. Grain and legume allergy［J］. Chemical Immunology and Allergy, 2015, 101: 145-151.
［5］Mittag D, Vieths S, Vogel L, et al. Soybean allergy in patients allergic to birch pollen: Clinical investigation and molecular characterization of allergens［J］. The Journal of Allergy and Clinical Immunology, 2004, 113(1): 148-154.
［6］Berkner H, Neudecker P, Mittag D, et al. Cross-reactivity of pollen and food allergens: Soybean gly m 4 is a member of the bet v 1 superfamily and closely resembles yellow lupine proteins［J］. Bioscience Reports, 2009, 29(3): 183-192.
［7］Berneder M, Bublin M, Hoffmann Sommergruber K, et al. Allergen chip diagnosis for soy-allergic patients: Gly m 4 as a marker for severe food-allergic reactions to soy［J］. International Archives of Allergy and Immunology, 2013, 161(3): 229-233.
［8］Havenith H, Kern K, Rautenberger P, et al. Combination of two epitope identification techniques enables the rational design of soy allergen Gly m 4 mutants［J］. Biotechnology Journal, 2017,12(2)：1600441.
［9］Prickett S R, Rolland J M, O′Hehir R E. Immunoregulatory t cell epitope peptides: The new frontier in allergy therapy［J］. Clinical and Experimental Allergy, 2015, 45(6): 1015-1026.
［10］Hosoyama H, Obata A, Bando N, et al. Epitope analysis of soybean major allergen gly m bd 30k recognized by the mouse monoclonal antibody using overlapping peptides［J］. Bioscience, Biotechnology, and Biochemistry, 1996, 60(7): 1181-1182.
［11］邹菊, 刘志刚. 大豆主要过敏原Gly m Bd 30k蛋白单克隆抗体的制备与应用［J］. 大豆科学, 2011，30(5): 723-726.(Zou J, Liu Z G. Preparation and application of monoclonal antibodies against allergen Gly m Bd 30K［J］. Soybean Science, 2011, 30(5): 723-726.)?
［12］林苏霞, 王晓梅, 刘志刚, 等.大豆主要过敏原Gly m Bd 30k的抗原表位区基因的克隆表达、纯化及免疫原性鉴定［J］. 大豆科学, 2010, 29(2): 186-190. (Lin S X, Wang X M, Liu Z G, et al. Cloning and expression of the antigenic epitope of Gly m Bd 30K protein from soybean and purification and identification of expressed product［J］. Soybean Science, 2010, 29(2): 186-190.)
［13］Petersen T N, Brunak S, von Heijne G, et al.Signalp 4.0: Discriminating signal peptides from transmembrane regions［J］. Nature Methods, 2011, 8(10): 785-786.
［14］Combet C, Blanchet C, Geourjon C, et al.Nps@: Network protein sequence analysis［J］. Trends in Biochemical Sciences, 2000, 25(3): 147-150.
［15］Nielsen M, Lundegaard C, Worning P, et al. Reliable prediction of t-cell epitopes using neural networks with novel sequence representations［J］. Protein Science, 2003, 12(5): 1007-1017.
［16］Smarr C B, Bryce P J, Miller S D. Antigen specific tolerance in immunotherapy of th2 associated allergic diseases［J］. Critical Reviews in Immunology, 2013, 33(5): 389-414.
［17］Bronnert M, Mancini J, Birnbaum J, et al. Component-resolved diagnosis with commercially available d.Pteronyssinus der p 1, der p 2 and der p 10: Relevant markers for house dust mite allergy［J］. Clinical and Experimental Allergy, 2012, 42(9): 1406-1415).
［18］Zhang H, Kurgan L.Improved prediction of residue flexibility by embedding optimized amino acid grouping into rsa-based linear models［J］. Amino Acids, 2014, 46(12): 2665-2680.
［19］Welling G W, Weijer W J, van der Zee R, et al. Prediction of sequential antigenic regions in proteins［J］. FEBS Letters, 1985, 188(2): 215-218.
［20］李胜涛, 刘昌文, 邹泽红, 等.MHC-II类抗原表位预测软件的对比评价［J］. 生物医学工程研究, 2010(2): 128-132. (Li S T, Liu C W, Zou Z H, et al. Comparative assessment of different softwares for MHC-II antigen epitope prediction［J］. Journal of Biomedical Engineering Research, 2010(2): 128-132.)

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Last Update: 2017-06-24