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Cell
Article . 2006
License: Elsevier Non-Commercial
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Cell
Article . 2006
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Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks

Authors: Blagoy Blagoev; Matthias Mann; Jesper V. Olsen; Boris Macek; Boris Macek; Florian Gnad; Peter Mortensen; +1 Authors

Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks

Abstract

Cell signaling mechanisms often transmit information via posttranslational protein modifications, most importantly reversible protein phosphorylation. Here we develop and apply a general mass spectrometric technology for identification and quantitation of phosphorylation sites as a function of stimulus, time, and subcellular location. We have detected 6,600 phosphorylation sites on 2,244 proteins and have determined their temporal dynamics after stimulating HeLa cells with epidermal growth factor (EGF) and recorded them in the Phosida database. Fourteen percent of phosphorylation sites are modulated at least 2-fold by EGF, and these were classified by their temporal profiles. Surprisingly, a majority of proteins contain multiple phosphorylation sites showing different kinetics, suggesting that they serve as platforms for integrating signals. In addition to protein kinase cascades, the targets of reversible phosphorylation include ubiquitin ligases, guanine nucleotide exchange factors, and at least 46 different transcriptional regulators. The dynamic phosphoproteome provides a missing link in a global, integrative view of cellular regulation.

Keywords

Binding Sites, Databases, Factual, Epidermal Growth Factor, Proteome, Biochemistry, Genetics and Molecular Biology(all), Mass Spectrometry, Neoplasm Proteins, Kinetics, Humans, Phosphorylation, Peptides, Phosphotyrosine, Protein Processing, Post-Translational, HeLa Cells, Protein Binding, Signal Transduction

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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!
3K
Top 0.01%
Top 0.1%
Top 0.01%
hybrid