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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Large-scale proteomics analysis of the human kinome
Felix S Oppermann1, Florian Gnad, Jesper V Olsen
1Department of Molecular Biology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Molecular & Cellular Proteomics : MCP
|April 17, 2009
Summary
This study developed a method to enrich and analyze protein kinases, revealing differences in kinase expression across cancer cell lines and mapping over 1200 phosphorylation sites for better understanding of cell signaling.
Area of Science:
- Proteomics
- Cellular signaling
- Biochemistry
Background:
- Protein kinases regulate eukaryotic signal transduction pathways.
- Low abundance of protein kinases in proteome studies hinders comprehensive analysis.
- Enrichment strategies are needed for kinome-wide studies.
Purpose of the Study:
- To develop and evaluate methods for kinome-wide enrichment and analysis.
- To compare protein kinase expression across different cancer cell lines.
- To identify site-specific phosphorylation events in the human kinome.
Main Methods:
- Stable isotope labeling by amino acids in cell culture (SILAC) for quantitative comparison.
- Utilized kinase-selective affinity resins with pyrido[2,3-d]pyrimidine-based inhibitors.
- Employed a broadly selective kinase ligand (VI16832) for enrichment and quantitative mass spectrometry.
Main Results:
- Demonstrated feasibility of comparative kinome profiling using affinity resins.
- Quantified relative expression of over 170 protein kinases across three cancer cell lines.
- Identified distinct kinase expression patterns, with MV4-11 cells showing high cytoplasmic and low receptor tyrosine kinases.
- Revealed approximately 1200 phosphorylation sites on over 200 protein kinases.
Conclusions:
- Developed straightforward experimental procedures for kinase-selective proteomics.
- Comparative kinome profiling provides insights into signaling network architecture.
- Expanded the understanding of site-specific protein kinase regulation.
- Potential for future analysis of signal transduction and kinase drug targets.
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