Abstract
Cereal proteins have formed the basis of human diet worldwide, and their level of consumption is expected to increase. The knowledge of the protein composition and variation of the cereal grains is helpful for characterizing cereal varieties and to identify biomarkers for tolerance mechanisms. Grains produce a wide array of proteins, differing under conditions. Quantitative proteomics is a powerful approach allowing the identification of proteins expressed under defined conditions that may contribute understanding the complex biological systems of grains. Isobaric tags for relative and absolute quantitation (iTRAQ) is a mass spectrometry–based quantitative approach allowing, simultaneously, for protein identification and quantification from multiple samples with high coverage. One of the challenges in identifying grains proteins is their relatively high content (~90–95%) of carbohydrate (starch) and low protein (~4–10%) and lipid (~1%) fractions. In this chapter, we present a robust workflow to carry out iTRAQ quantification of the starchy rice grains.
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Acknowledgments
This research was supported by KAKENHI Grants-in-Aid for Scientific Research (A) (15H02486) from Japan Society for the Promotion of Sciences, Strategic International Collaborative Research Program by the Japan Science and Technology Agency (JST SICORP), and Grant for Promotion of KAAB Projects (Niigata University) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan.
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Baslam, M., Kaneko, K., Mitsui, T. (2020). iTRAQ-Based Proteomic Analysis of Rice Grains. In: Jorrin-Novo, J., Valledor, L., Castillejo, M., Rey, MD. (eds) Plant Proteomics. Methods in Molecular Biology, vol 2139. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0528-8_29
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DOI: https://doi.org/10.1007/978-1-0716-0528-8_29
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