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Related Experiment Videos

Quantitative proteomics to study mitogen-activated protein kinases.

Blagoy Blagoev1, Matthias Mann

  • 1Center for Experimental Bioinformatics (CEBI), Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark. bab@bmb.sdu.dk

Methods (San Diego, Calif.)
|October 31, 2006
PubMed
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Stable Isotope Labeling by Amino acids in Cell culture (SILAC) offers precise quantitative proteomic analysis for cell signaling research. This method enables reliable measurement of protein phosphorylation in MAP kinases and their substrates.

Area of Science:

  • Proteomics
  • Cell Signaling
  • Biochemistry

Background:

  • Mass spectrometry (MS)-based proteomics is increasingly vital for cell signaling research.
  • Advancements in instrumentation and quantitative analysis have driven this growth.
  • Stable Isotope Labeling by Amino acids in Cell culture (SILAC) is a key quantitative proteomic technique.

Purpose of the Study:

  • To detail the SILAC labeling procedure.
  • To guide the design of SILAC experiments.
  • To investigate the level and duration of protein phosphorylation in MAP kinases and substrates.

Main Methods:

  • Metabolic incorporation of heavy isotopes into the proteome of cultured cells.
  • Distinguishing labeled proteins from control cells using mass spectrometry.

Related Experiment Videos

  • Combined sample manipulation of labeled and control cells for enhanced reliability.

    • Main Results:

    • SILAC provides highly reliable quantitative proteomic data with minimal errors.
    • The method facilitates the study of endogenous protein phosphorylation.
    • Detailed procedures for SILAC labeling and experimental design are presented.

    Conclusions:

    • SILAC is a powerful and reliable method for quantitative proteomics in cell signaling.
    • The chapter provides practical guidance for applying SILAC to study signaling pathways.
    • This approach enhances the understanding of MAP kinase signaling dynamics.