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iTRAQ-Based Proteomic Analysis of Rice Grains
Marouane Baslam1, Kentaro Kaneko2, Toshiaki Mitsui3,4
1Department of Biochemistry, Faculty of Agriculture, Niigata University, Niigata, Japan.
Methods in Molecular Biology (Clifton, N.J.)
|May 29, 2020
Summary
This study presents a robust workflow for quantifying cereal grain proteins using Isobaric tags for relative and absolute quantitation (iTRAQ). This method aids in understanding grain biology and characterizing varieties through protein analysis.
Area of Science:
- Agricultural Science
- Biochemistry
- Proteomics
Background:
- Cereal proteins are vital global food sources, with increasing consumption projected.
- Understanding cereal protein composition aids in variety characterization and identifying tolerance mechanisms.
- Grains exhibit diverse protein expression influenced by environmental conditions.
Purpose of the Study:
- To present a robust workflow for quantitative proteomics in cereal grains.
- To apply Isobaric tags for relative and absolute quantitation (iTRAQ) for rice grain protein analysis.
- To address challenges in grain protein identification due to high carbohydrate content.
Main Methods:
- Utilized quantitative proteomics, specifically Isobaric tags for relative and absolute quantitation (iTRAQ).
- Developed a workflow optimized for analyzing starchy rice grains.
- Employed mass spectrometry for high-coverage protein identification and quantification.
Main Results:
- Successfully implemented a robust iTRAQ quantification workflow for rice grains.
- Demonstrated the capability of iTRAQ to identify and quantify proteins in a complex starchy matrix.
- Provided a foundation for further proteomic studies in cereal grains.
Conclusions:
- The developed workflow enables effective quantitative proteomic analysis of cereal grains.
- This approach is valuable for characterizing cereal varieties and understanding grain biology.
- Quantitative proteomics, using iTRAQ, offers insights into complex biological systems of grains.
