Literature DB >> 25764008

Allergen relative abundance in several wheat varieties as revealed via a targeted quantitative approach using MS.

Hélène Rogniaux1, Marija Pavlovic1, Roberta Lupi1, Virginie Lollier1, Mathilde Joint1, Hamza Mameri1, Sandra Denery1, Colette Larré1.   

Abstract

Food allergy has become a major health issue in developed countries, therefore there is an urgent need to develop analytical methods able to detect and quantify with a good sensitivity and reliability some specific allergens in complex food matrices. In this paper, we present a targeted MS/MS approach to compare the relative abundance of the major recognized wheat allergens in the salt-soluble (albumin/globulin) fraction of wheat grains. Twelve allergens were quantified in seven wheat varieties, selected from three Triticum species: T. aestivum (bread wheat), T. durum (durum wheat), and T. monococcum. The allergens were monitored from one or two proteotypic peptides and their relative abundance was deduced from the intensity of one fragment measured in MS/MS. Whereas the abundance of some of the targeted allergens was quite stable across the genotypes, others like alpha-amylase inhibitors showed clear differences according to the wheat species, in accordance with the results of earlier functional studies. This study enriches the scarce knowledge available on allergens content in wheat genotypes, and brings new perspectives for food safety and plant breeding.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Allergens; Genotypes; MRM MS; Plant proteomics; Quantification; Wheat

Mesh:

Substances:

Year:  2015        PMID: 25764008     DOI: 10.1002/pmic.201400416

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  6 in total

Review 1.  Targeted proteomics: Current status and future perspectives for quantification of food allergens.

Authors:  Nagib Ahsan; R Shyama Prasad Rao; Philip A Gruppuso; Bharat Ramratnam; Arthur R Salomon
Journal:  J Proteomics       Date:  2016-04-22       Impact factor: 4.044

2.  Tailored Use of Targeted Proteomics in Plant-Specific Applications.

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Journal:  Front Plant Sci       Date:  2018-08-17       Impact factor: 5.753

3.  Relative Abundance of Alpha-Amylase/Trypsin Inhibitors in Selected Sorghum Cultivars.

Authors:  Sorel Tchewonpi Sagu; Eva Landgräber; Michal Rackiewicz; Gerd Huschek; Harshadrai Rawel
Journal:  Molecules       Date:  2020-12-17       Impact factor: 4.411

4.  Absolute and relative quantitation of amylase/trypsin-inhibitors by LC-MS/MS from wheat lines obtained by CRISPR-Cas9 and RNAi.

Authors:  Sabrina Geisslitz; Shahidul Islam; Lukas Buck; Clemens Grunwald-Gruber; Francesco Sestili; Francesco Camerlengo; Stefania Masci; Stefano D'Amico
Journal:  Front Plant Sci       Date:  2022-08-29       Impact factor: 6.627

5.  Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.

Authors:  Dario Di Silvestre; Andrea Bergamaschi; Edoardo Bellini; PierLuigi Mauri
Journal:  Proteomes       Date:  2018-06-03

Review 6.  Modern Approaches in the Identification and Quantification of Immunogenic Peptides in Cereals by LC-MS/MS.

Authors:  Thais O Alves; Carolina T S D'Almeida; Katharina A Scherf; Mariana S L Ferreira
Journal:  Front Plant Sci       Date:  2019-11-14       Impact factor: 5.753

  6 in total

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