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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
A label-free quantification method by MS/MS TIC compared to SILAC and spectral counting in a proteomics screen
John M Asara1, Heather R Christofk, Lisa M Freimark
1Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA. jasara@bidmc.harvard.edu
A novel label-free proteomics method using total ion current (TIC) offers a wider dynamic range for quantifying protein and post-translational modification (PTM) changes compared to isotope labeling, aiding disease biomarker discovery.
Area of Science:
- Proteomics
- Quantitative Biology
- Biomarker Discovery
Background:
- Accurate quantification of proteins and post-translational modifications (PTMs) is crucial for understanding cellular signaling and identifying disease biomarkers.
- Stable isotope labeling is a common quantitative proteomics technique but is limited by a dynamic range of approximately 20:1.
Purpose of the Study:
- To develop and validate a label-free proteomics method for relative protein quantification with an expanded dynamic range.
- To assess the utility of this method for identifying proteins interacting with specific targets, such as phosphotyrosine residues.
Main Methods:
- Utilized a label-free quantitative proteomics approach based on the total ion current (TIC) from peptide MS/MS spectra.
- Collected data using standard data-dependent acquisition runs on commercial mass spectrometers.
- Applied the method to screen for proteins binding to phosphotyrosine residues.
Main Results:
- The label-free TIC-based method achieved a dynamic range of up to approximately 60:1, significantly exceeding that of isotope labeling.
- Demonstrated the method's effectiveness in identifying proteins of interest in a specific biological context.
Conclusions:
- Label-free quantification using TIC in MS/MS spectra is a viable and powerful alternative to isotope labeling for relative protein quantification.
- This method expands the accessible dynamic range, enabling more comprehensive proteomic analyses and biomarker discovery.
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