Hybrid QconCAT-Based Targeted Absolute and Data-Independent Acquisition-Based Label-Free Quantification Enables In-Depth Proteomic Characterization of Wheat Amylase/Trypsin Inhibitor Extracts

被引:18
|
作者
Sielaff, Malte [1 ]
Curella, Valentina [2 ]
Neerukonda, Manjusha [2 ]
Afzal, Muhammad [3 ]
El Hassouni, Khaoula [3 ]
Distler, Ute [1 ]
Schuppan, Detlef [1 ,4 ]
Longin, C. Friedrich H. [3 ]
Tenzer, Stefan [1 ]
机构
[1] Johannes Gutenberg Univ Mainz, Inst Immunol, Univ Med Ctr, D-55131 Mainz, Germany
[2] Johannes Gutenberg Univ Mainz, Inst Translat Immunol, Univ Med Ctr, D-55131 Mainz, Germany
[3] Univ Hohenheim, State Plant Breeding Inst, D-70599 Stuttgart, Germany
[4] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Div Gastroenterol, Boston, MA 02215 USA
关键词
bottom-up proteomics data-independent acquisition; QconCAT; label-free quantification; wheat; Triticum aestivum; flour; alpha-amylase/trypsin inhibitor; celiac disease; non-celiac wheat sensitivity; CELIAC GLUTEN SENSITIVITY; INTESTINAL INFLAMMATION; ACTIVATION; DISCOVERY; PEPTIDES; PROTEINS; QUALITY;
D O I
10.1021/acs.jproteome.0c00752
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Wheat amylase/trypsin inhibitors (ATIs) have gained significant relevance as inducers of intestinal and extra-intestinal inflammation. In this study, we present a novel hybrid data-independent acquisition (DIA) liquid chromatographymass spectrometry (LC-MS) approach, combining QconCAT technology with short microflow LC gradients and DIA and apply the method toward the quantitative proteome analysis of ATI extracts. The presented method is fast, robust, and reproducible and provides precise QconCAT-based absolute quantification of major ATI proteins while simultaneously quantifying the proteome by label-free quantification (LFQ). We analyzed extracts of 60 varieties of common wheat grown in replication and evaluated the reproducibility and precision of the workflow for the quantification of ATIs. Applying the method to analyze different wheat species (i.e., common wheat, spelt, durum wheat, emmer, and einkorn) and comparing the results to published data, we validated inter-laboratory and cross-methodology reproducibility of ATI quantification, which is essential in the context of large-scale breeding projects. Additionally, we applied our workflow to assess environmental effects on ATI expression, analyzing ATI content and proteome of same varieties grown at different locations. Finally, we explored the potential of combining QconCAT-based absolute quantification with DIA-based LFQ proteome analysis for the generation of new hypotheses or assay development.
引用
收藏
页码:1544 / 1557
页数:14
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