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Updated: Sep 10, 2025

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
Targeted Quantitation of Phosphotyrosine-Containing Proteins in T-Cell Receptor Signaling Using a SureQuant-Based
Firdous A Bhat1, Husheng Ding1, Dong-Gi Mun1
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
This study developed a targeted mass spectrometry method, SureQuant, to accurately measure low-abundance phosphotyrosine peptides in T-cell receptor (TCR) signaling. The method enables sensitive and reproducible quantification of key signaling molecules upon T-cell activation.
Area of Science:
- Immunology
- Proteomics
- Cell Signaling
Background:
- T-cell receptor (TCR) signaling is vital for immune responses.
- Tyrosine phosphorylation is a key regulatory mechanism in TCR signaling.
- Low abundance of phosphotyrosine peptides challenges conventional detection methods.
Purpose of the Study:
- To develop and validate a targeted proteomics method for quantifying phosphotyrosine peptides in TCR signaling.
- To assess the sensitivity and reproducibility of the SureQuant approach for low-abundance peptides.
- To investigate dynamic changes in phosphotyrosine signaling during T-cell activation.
Main Methods:
- Development of a SureQuant-based targeted mass spectrometry assay.
- Utilizing triggered data acquisition with heavy isotope-labeled peptides.
- Stimulation of primary T-cells with anti-CD3/CD28 antibodies to monitor signaling.
Main Results:
- Successful quantification of changes in key phosphotyrosine peptides in primary T-cells.
- Demonstrated high sensitivity and reproducibility of the SureQuant method for low-abundance phosphotyrosine peptides.
- Provided a systematic view of TCR signaling dynamics with distinct phosphorylation patterns.
Conclusions:
- The SureQuant approach accurately quantifies low-abundance phosphotyrosine peptides in TCR signaling.
- This method offers a valuable tool for precise analysis of signaling pathways and post-translational modifications.
- The framework can be extended to study other signaling networks and immune cell functions.
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