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Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry

  • An Chi
  • , Curtis Huttenhower
  • , Lewis Y. Geer
  • , Joshua J. Coon
  • , John E.P. Syka
  • , Dina L. Bai
  • , Jeffrey Shabanowitz
  • , Daniel J. Burke
  • , Olga G. Troyanskaya
  • , Donald F. Hunt

Research output: Contribution to journalArticlepeer-review

Abstract

We present a strategy for the analysis of the yeast phosphoproteome that uses endo-Lys C as the proteolytic enzyme, immobilized metal affinity chromatography for phosphopeptide enrichment, a 90-min nanoflow-HPLC/ electrospray-ionization MS/MS experiment for phosphopeptide fractionation and detection, gas phase ion/ion chemistry, electron transfer dissociation for peptide fragmentation, and the Open Mass Spectrometry Search Algorithm for phosphoprotein identification and assignment of phosphorylation sites. From a 30-μg (≈600 pmol) sample of total yeast protein, we identify 1,252 phosphorylation sites on 629 proteins. Identified phosphoproteins have expression levels that range from < 50 to 1,200,000 copies per cell and are encoded by genes involved in a wide variety of cellular processes. We identify a consensus site that likely represents a motif for one or more uncharacterized kinases and show that yeast kinases, themselves, contain a disproportionately large number of phosphorylation sites. Detection of a pHis containing peptide from the yeast protein, Cdc10, suggests an unexpected role for histidine phosphorylation in septin biology. From diverse functional genomics data, we show that phosphoproteins have a higher number of interactions than an average protein and interact with each other more than with a random protein. They are also likely to be conserved across large evolutionary distances.

Original languageEnglish (US)
Pages (from-to)2193-2198
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume104
Issue number7
DOIs
StatePublished - Feb 13 2007

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • Network analysis
  • Yeast phosphoproteome

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