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Molecular & Cellular Proteomics
Article . 2008 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Molecular & Cellular Proteomics
Article
License: CC BY
Data sources: UnpayWall
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A Multidimensional Chromatography Technology for In-depth Phosphoproteome Analysis

Authors: Claudio P, Albuquerque; Marcus B, Smolka; Samuel H, Payne; Vineet, Bafna; Jimmy, Eng; Huilin, Zhou;

A Multidimensional Chromatography Technology for In-depth Phosphoproteome Analysis

Abstract

Protein phosphorylation is a post-translational modification widely used to regulate cellular responses. Recent studies showed that global phosphorylation analysis could be used to study signaling pathways and to identify targets of protein kinases in cells. A key objective of global phosphorylation analysis is to obtain an in-depth mapping of low abundance protein phosphorylation in cells; this necessitates the use of suitable separation techniques because of the complexity of the phosphoproteome. Here we developed a multidimensional chromatography technology, combining IMAC, hydrophilic interaction chromatography, and reverse phase LC, for phosphopeptide purification and fractionation. Its application to the yeast Saccharomyces cerevisiae after DNA damage led to the identification of 8764 unique phosphopeptides from 2278 phosphoproteins using tandem MS. Analysis of two low abundance proteins, Rad9 and Mrc1, revealed that approximately 50% of their phosphorylation was identified via this global phosphorylation analysis. Thus, this technology is suited for in-depth phosphoproteome studies.

Keywords

Phosphopeptides, Proteomics, Chromatography, Proteome, Saccharomyces cerevisiae, Phosphoproteins, Models, Biological, Cluster Analysis, Metabolic Networks and Pathways, DNA Damage, Protein Binding

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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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!
451
Top 1%
Top 1%
Top 1%
gold