Abstract
Mass spectrometry (MS)-based phosphoproteomics is a powerful tool for investigating cell signaling, yet it remains challenging to study plant phosphoproteomes due to the low yield of cell lysis and high complexity of plant lysate. Here we report a streamlined sample preparation workflow to analyze plant phosphoproteomes in a high-throughput manner. This workflow addresses the problem of low yield in the lysis step and eliminates the interferences of pigments and metabolites in plant lysate. Integrating chemical labeling and high pH reverse phase fractionation with this workflow achieves in-depth phosphoproteomic coverage. Notably, the scalability of this approach is demonstrated by systematically analyzing the effect of long-term cold stress in the perturbation of the tomato phosphoproteome. Identification of more than 30,000 phosphopeptides from tomato leaves and more than 5000 kinase-substrate pairs from Arabidopsis create the largest phosphoproteomic and signaling network resource to date.
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Acknowledgments
The authors are grateful for financial support of this work from the NSF (grant 1506752).
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Hsu, CC., Arrington, J.V., Tao, W.A. (2021). Universal Sample Preparation Workflow for Plant Phosphoproteomic Profiling. In: Wu, X.N. (eds) Plant Phosphoproteomics. Methods in Molecular Biology, vol 2358. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1625-3_6
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DOI: https://doi.org/10.1007/978-1-0716-1625-3_6
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