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Quantification of Proteins Using Peptide Immunoaffinity Enrichment Coupled with Mass Spectrometry
Published on: July 31, 2011
Relative protein quantification by isobaric SILAC with immonium ion splitting (ISIS)
Mara Colzani1, Frédéric Schütz, Alexandra Potts
1Center for Integrative Genomics, University of Lausanne, Quartier Sorge, 1015 Lausanne-Dorigny, Switzerland. mara.colzani@unil.ch
Molecular & Cellular Proteomics : MCP
|January 1, 2008
Summary
This study introduces an alternative metabolic labeling method for quantitative proteome profiling. This isobaric labeling approach enhances protein quantification sensitivity and accuracy, offering advantages similar to iTRAQ.
Area of Science:
- Proteomics
- Mass Spectrometry
- Biochemistry
Background:
- Metabolic labeling techniques, such as stable isotope labeling with amino acids in cell cultures (SILAC), are crucial for quantitative proteome profiling.
- Classical SILAC relies on predictable mass differences introduced by heavy/light isotopic amino acids for relative protein quantification via mass spectrometry.
- Existing methods require distinct mass shifts for peptide correlation and quantification.
Purpose of the Study:
- To present an alternative SILAC approach utilizing isobaric labeling with distinct isotopic labels (13C or 15N) for relative protein quantification.
- To validate the efficacy and sensitivity of this novel isobaric SILAC method for proteome analysis.
- To compare the performance of isobaric SILAC with established techniques like 2D DIGE.
Main Methods:
- Culturing cells in media with isobaric amino acid forms labeled with 13C or 15N.
- Generating distinct immonium ions (separated by 1 amu) upon fragmentation of labeled peptides from mixed samples.
- Utilizing immonium ion intensities for relative protein quantification and employing a fast scan event for enhanced sensitivity.
Main Results:
- Achieved high labeling coverage (97%) for tryptic peptides using valine, isoleucine, and leucine.
- Demonstrated reliable quantification of protein mixtures with known ratios.
- Obtained quantitative data from melanoma cell lines consistent with 2D DIGE analysis.
Conclusions:
- The developed isobaric SILAC method effectively quantifies proteins by leveraging distinct immonium ion fragmentation patterns.
- This approach combines SILAC's features with the benefits of isobaric labeling schemes, enhancing sensitivity and quantification accuracy.
- The method shows promise for proteomic studies, offering a valuable alternative for quantitative analysis.

