Literature DB >> 23268118

The MS(E)-proteomic analysis of gliadins and glutenins in wheat grain identifies and quantifies proteins associated with celiac disease and baker's asthma.

Lubica Uvackova1, Ludovit Skultety, Slavka Bekesova, Scott McClain, Martin Hajduch.   

Abstract

Precise content of gliadin (Glia) and glutenin (Glu) proteins in wheat grain are largely unknown despite their association with celiac disease, various allergies, and physical processing properties of wheat. Developing methods to quantitatively measure clinically relevant proteins could support advancement in understanding exposure thresholds and clinical study design. The aim of this study was to use a data-independent mass spectrometry (MS(E)) approach for quantifying gliadin and glutenin proteins in wheat grain. The biologically replicated analysis yielded concentrations for 34 gliadin and 22 glutenin proteins. The primary focus of this survey was on measuring celiac disease proteins and baker's asthma associated proteins along with the proteins associated with viscoelastic properties of wheat flour and grain texture. The technical coefficients of variation ranged from 0.12 to 1.39 and indicate that MS(E) proteomics is a reproducible quantitative method for the determination of gliadin and glutenin content in the highly complex matrix of protein extracts from wheat grain. This article is part of a Special Issue entitled: Translational Plant Proteomics.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CV; GFP; Glia; Gliadins; Glu; Glu-1-fibrinopeptide B; Glutenins; HMW GS; LMW GS; MS(E); MSE; Proteomics; Quantification; Wheat grain; coefficient of variations; data-independent mass spectrometry; emPAI; exponentially modified protein abundance index; high molecular weight glutenin subunits; low molecular weight glutenin subunits; protein fraction containing mostly gliadins; protein fraction containing mostly glutenins

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Year:  2012        PMID: 23268118     DOI: 10.1016/j.jprot.2012.12.011

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  8 in total

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2.  Using 7 cm immobilized pH gradient strips to determine levels of clinically relevant proteins in wheat grain extracts.

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Review 6.  Bringing New Methods to the Seed Proteomics Platform: Challenges and Perspectives.

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8.  Comprehensive Comparison of Clinically Relevant Grain Proteins in Modern and Traditional Bread Wheat Cultivars.

Authors:  Olha Lakhneko; Maksym Danchenko; Bogdan Morgun; Andrej Kováč; Petra Majerová; Ľudovit Škultéty
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  8 in total

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