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Molecular Cell
Article
License: Elsevier Non-Commercial
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Molecular Cell
Article . 2008
License: Elsevier Non-Commercial
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Molecular Cell
Article . 2008 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Kinase-Selective Enrichment Enables Quantitative Phosphoproteomics of the Kinome across the Cell Cycle

Authors: Daub, Henrik; Olsen, Jesper V.; Bairlein, Michaela; Gnad, Florian; Oppermann, Felix S.; Körner, Roman; Greff, Zoltán; +3 Authors

Kinase-Selective Enrichment Enables Quantitative Phosphoproteomics of the Kinome across the Cell Cycle

Abstract

Protein kinases are pivotal regulators of cell signaling that modulate each other's functions and activities through site-specific phosphorylation events. These key regulatory modifications have not been studied comprehensively, because low cellular abundance of kinases has resulted in their underrepresentation in previous phosphoproteome studies. Here, we combine kinase-selective affinity purification with quantitative mass spectrometry to analyze the cell-cycle regulation of protein kinases. This proteomics approach enabled us to quantify 219 protein kinases from S and M phase-arrested human cancer cells. We identified more than 1000 phosphorylation sites on protein kinases. Intriguingly, half of all kinase phosphopeptides were upregulated in mitosis. Our data reveal numerous unknown M phase-induced phosphorylation sites on kinases with established mitotic functions. We also find potential phosphorylation networks involving many protein kinases not previously implicated in mitotic progression. These results provide a vastly extended knowledge base for functional studies on kinases and their regulation through site-specific phosphorylation.

Keywords

Phosphopeptides, Proteomics, Cell Cycle, Molecular Sequence Data, Phosphotransferases, Mitosis, Cell Biology, Phosphoproteins, S Phase, Substrate Specificity, Enzyme Activation, Humans, Amino Acid Sequence, Phosphorylation, Molecular Biology, HeLa Cells

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
542
Top 1%
Top 1%
Top 0.1%
hybrid
Related to Research communities
Cancer Research