Proteomics-based allergen analysis in plants

被引:29
|
作者
Nakamura, Rika [1 ]
Teshima, Reiko [1 ]
机构
[1] Natl Inst Hlth Sci, Setagaya Ku, Tokyo 1588501, Japan
关键词
Allergenomics; Allergens; Genetically modified foods; Plant proteomics; IgE; HEVEA-BRASILIENSIS LATEX; SEED STORAGE PROTEINS; LIQUID-CHROMATOGRAPHY; MASS-SPECTROMETRY; POLLEN ALLERGENS; PEANUT ALLERGENS; TOMATO FRUITS; 2-D DIGE; FOOD; IDENTIFICATION;
D O I
10.1016/j.jprot.2013.03.018
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Plants may trigger hypersensitivity reactions when individuals with allergies consume foods derived from plant materials or inhale plant pollen. As each plant food or pollen contains multiple allergens, proteomics is a powerful tool to detect the allergens present. Allergen-targeted proteomics, termed allergenomics, has been used for comprehensive identification and/or quantification of plant allergens, because it is a simple and inexpensive tool for rapid detection of proteins that bind to IgE. There are increasing numbers of reports on the applications of allergenomics. In this review, we outline some of the applications of proteomics, including (i) identification of novel allergens, (ii) allergic diagnoses, (iii) quantification of allergens, and (iv) natural diversity of allergens, and finally discuss (v) the use of allergenomics for safety assessment of genetically modified (GM) plants. Biological significance Recently, the number of allergic patients is increasing. Therefore, a comprehensive analysis of allergens (allergenomics) in plants is highly important for not only risk assessment of food plants but also diagnosis of allergic symptoms. In this manuscript, we reviewed the recent progress of allergenomics for identification, quantification and profiling of allergens. This article is part of a Special Issue entitled: Translational Plant Proteomics. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:40 / 49
页数:10
相关论文
共 50 条
  • [31] Proteomics-Based Methodologies for the Detection and Quantification of Seafood Allergens
    Carrera, Monica
    Pazos, Manuel
    Gasset, Maria
    FOODS, 2020, 9 (08)
  • [32] Can proteomics-based diagnostics aid clinical psychiatry?
    Filiou, Michaela D.
    PROTEOMICS CLINICAL APPLICATIONS, 2015, 9 (9-10) : 885 - 888
  • [34] Proteomics-based synapse characterization: From proteins to circuits
    Marcassa, Gabriele
    Dascenco, Dan
    de Wit, Joris
    CURRENT OPINION IN NEUROBIOLOGY, 2023, 79
  • [35] Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer
    Neagu, Anca-Narcisa
    Jayathirtha, Madhuri
    Whitham, Danielle
    Mutsengi, Panashe
    Sullivan, Isabelle
    Petre, Brindusa Alina
    Darie, Costel C.
    PROTEOMES, 2022, 10 (04)
  • [36] Transcriptomics and proteomics-based analysis of heterosis on main economic traits of silkworm, Bombyx mori
    Xiao, Rui
    Yuan, Yi
    Zhu, Feifei
    He, Suqun
    Ge, Qi
    Wang, Xueqi
    Taha, Rehab
    Chen, Keping
    JOURNAL OF PROTEOMICS, 2020, 229
  • [37] Proteomics-based identification and analysis proteins associated with spirotetramat tolerance in Aphis gossypii Glover
    Xi, Jinghui
    Pan, Yiou
    Wei, Zhenxin
    Yang, Chen
    Gao, Xiwu
    Peng, Tianfei
    Bi, Rui
    Liu, Yan
    Xin, Xuecheng
    Shang, Qingli
    PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY, 2015, 119 : 74 - 80
  • [38] A targeted proteomics-based pipeline for verification of biomarkers in plasma
    Whiteaker, Jeffrey R.
    Lin, Chenwei
    Kennedy, Jacob
    Hou, Liming
    Trute, Mary
    Sokal, Izabela
    Yan, Ping
    Schoenherr, Regine M.
    Zhao, Lei
    Voytovich, Uliana J.
    Kelly-Spratt, Karen S.
    Krasnoselsky, Alexei
    Gafken, Philip R.
    Hogan, Jason M.
    Jones, Lisa A.
    Wang, Pei
    Amon, Lynn
    Chodosh, Lewis A.
    Nelson, Peter S.
    McIntosh, Martin W.
    Kemp, Christopher J.
    Paulovich, Amanda G.
    NATURE BIOTECHNOLOGY, 2011, 29 (07) : 625 - U108
  • [39] Proteomics-based analysis of a pair of glioma cell lines with different tumor forming characteristics
    Zhou, Le
    Wang, Yan
    Zhang, Ying-tao
    Geng, Yi-ping
    Si, Lu-sheng
    Wang, Yi-li
    NEUROSCIENCE LETTERS, 2006, 401 (1-2) : 59 - 64
  • [40] Proteomics-based analysis indicating α-enolase as a potential biomarker in primary Sjogren's syndrome
    Wei, Pan
    Xing, Yixiao
    Li, Boya
    Chen, Feng
    Hua, Hong
    GLAND SURGERY, 2020, 9 (06) : 2054 - 2063