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Plant Phosphopeptide Identification and Label-Free Quantification by MaxQuant and Proteome Discoverer Software
Shalan Li1, Haitao Zan1, Zhe Zhu1
1State Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, China.
Methods in Molecular Biology (Clifton, N.J.)
|July 16, 2021
Summary
Plant protein phosphorylation is crucial for signaling. This study details using MaxQuant and Proteome Discoverer for identifying and quantifying plant phosphopeptides via mass spectrometry (MS), enabling analysis of dynamic phosphorylation changes.
Area of Science:
- Plant molecular biology
- Biochemistry
- Proteomics
Background:
- Protein phosphorylation and dephosphorylation are key regulatory mechanisms in plant biological processes, particularly signal transduction pathways.
- Understanding dynamic changes in phosphorylation is vital for deciphering plant responses and functions.
Purpose of the Study:
- To provide a detailed workflow for analyzing large-scale plant phosphoproteomic data.
- To outline the identification and label-free quantification of phosphopeptides using mass spectrometry (MS).
Main Methods:
- Utilizing professional software tools, MaxQuant and Proteome Discoverer, for MS-based phosphoproteomic data analysis.
- Implementing label-free quantification strategies for phosphopeptide identification.
Main Results:
- Successful identification of phosphopeptides from complex plant samples.
- Accurate quantification of phosphopeptide abundance, revealing dynamic phosphorylation events.
Conclusions:
- MaxQuant and Proteome Discoverer are effective tools for comprehensive plant phosphoproteomics.
- The described workflow facilitates the study of dynamic phosphorylation in plants.
