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Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
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SILAC-based temporal phosphoproteomics.

Chiara Francavilla1, Omid Hekmat, Blagoy Blagoev

  • 1Department of Proteomics, Novo Nordisk Foundation Center for Protein Research, Faculty of Health Science, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.

Methods in Molecular Biology (Clifton, N.J.)
|July 26, 2014
PubMed
Summary
This summary is machine-generated.

This study presents an optimized workflow for analyzing temporal changes in phosphoproteomes using Mass Spectrometry (MS). The method enhances system-wide understanding of dynamic signaling pathways by combining Stable Isotope Labeling by Amino Acid in Cell Culture (SILAC) with phosphopeptide enrichment.

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Area of Science:

  • Proteomics
  • Cellular signaling
  • Mass Spectrometry

Background:

  • Quantitative proteomics advances enable system-wide analysis of signaling cascades.
  • Stable Isotope Labeling by Amino Acid in Cell Culture (SILAC) combined with enrichment strategies offers an unbiased approach to monitor dynamic signaling events.

Purpose of the Study:

  • To provide an optimized SILAC-based proteomic workflow for analyzing temporal changes in phosphoproteomes.
  • To enable comprehensive and accurate reconstruction of temporal changes in signaling networks.

Main Methods:

  • Utilized Stable Isotope Labeling by Amino Acid in Cell Culture (SILAC) for quantitative proteomic analysis.
  • Developed a three-step phosphopeptide enrichment protocol involving immunoaffinity, strong cation exchange, and titanium dioxide chromatography.
  • Employed Orbitrap-based Mass Spectrometry (MS) for high-performance tandem MS analysis.

Main Results:

  • The workflow successfully analyzed temporal changes in phosphoproteomes.
  • Achieved comprehensive and accurate reconstruction of temporal signaling network dynamics.
  • Demonstrated the power of SILAC and phosphopeptide enrichment for studying dynamic signaling events.

Conclusions:

  • The optimized SILAC-based workflow is effective for studying temporal phosphoproteome dynamics.
  • This approach provides spatio-temporal views of intracellular signaling pathways.
  • Advances in quantitative proteomics facilitate a system-wide understanding of cellular signaling.