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Updated: Dec 18, 2025

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
Published on: June 26, 2018
Approaching complexity: systems biology and ms-based techniques to address immune signaling
Joseph Gillen1, Caleb Bridgwater1, Aleksandra Nita-Lazar1
1Functional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA.
Mass spectrometry techniques are advancing systems immunology research by enabling comprehensive analysis of immune signaling. These proteomic methods offer new ways to study complex biological processes in immunology, cancer, and homeostasis.
Area of Science:
- Immunology
- Systems Immunology
- Proteomics
Background:
- Immune signaling is crucial for understanding immunology, pathogenesis, cancer, and homeostasis.
- High-throughput methods like transcriptomics, reporter assays, and ELISAs have advanced analysis.
- Mass spectrometry-based technologies are increasingly vital in systems immunology.
Purpose of the Study:
- To present established and novel proteomic methods for immune signaling research.
- To highlight mass spectrometry techniques for systems immunology.
- To discuss the integration of multi-omic data for advanced investigations.
Main Methods:
- Post-translational modification analysis
- Protein quantification
- Secretome analysis
- Interactomics
- Small molecule and metabolite analysis
- Mass spectrometry imaging
- Single cell analysis
Main Results:
- Established proteomic methods provide foundational insights into immune signaling.
- New mass spectrometry techniques offer enhanced capabilities for systems immunology.
- Multi-omic integration facilitates cutting-edge scientific discovery.
Conclusions:
- Proteomic techniques, particularly mass spectrometry, are expanding the scope of immune signaling research.
- Innovative proteomic applications allow for novel questions to be addressed at the forefront of science.
- The integration of diverse proteomic data is key to advancing systems immunology.
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