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Originally published In Press as doi:10.1074/mcp.M800172-MCP200 on November 25, 2008.
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Molecular & Cellular Proteomics 8:624-638, 2009.
© 2009 by The American Society for Biochemistry and Molecular Biology, Inc.


Research

Analysis of Cell Surface Proteome Changes via Label-free, Quantitative Mass Spectrometry*,S

Ralph Schiess{ddagger},§, Lukas N. Mueller{ddagger}, Alexander Schmidt{ddagger}, Markus Mueller||, Bernd Wollscheid{ddagger},**,{ddagger}{ddagger} and Ruedi Aebersold{ddagger},§§,¶¶

From the {ddagger} Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zurich, 8093 Zurich, Switzerland, § Ph.D. Program in Molecular Life Science and ¶¶ Faculty of Science, University of Zurich, 8057 Zurich, Switzerland, Competence Center for Systems Physiology and Metabolic Disease, 8093 Zurich, Switzerland, || Swiss Institute of Bioinformatics, 1211 Geneva, Switzerland, ** National Center for Competence in Research (NCCR) Neuro Center for Proteomics, ETH and University of Zurich, 8093 Zurich, Switzerland, and §§ Institute for Systems Biology, Seattle, Washington 98103

We present a mass spectrometry-based strategy for the specific detection and quantification of cell surface proteome changes. The method is based on the label-free quantification of peptide patterns acquired by high mass accuracy mass spectrometry using new software tools and the cell surface capturing technology that selectively enriches glycopeptides exposed to the cell exterior. The method was applied to monitor dynamic protein changes in the cell surface glycoproteome of Drosophila melanogaster cells. The results led to the construction of a cell surface glycoprotein atlas consisting of 202 cell surface glycoproteins of D. melanogaster Kc167 cells and indicated relative quantitative changes of cell surface glycoproteins in four different cellular states. Furthermore we specifically investigated cell surface proteome changes upon prolonged insulin stimulation. The data revealed insulin-dependent cell surface glycoprotein dynamics, including insulin receptor internalization, and linked these changes to intracellular signaling networks.


¶¶ To whom correspondence should be addressed. E-mail: aebersold{at}imsb.biol.ethz.ch


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[Abstract] [Full Text] [PDF]




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