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Exploration of T-Cell Diversity Using Mass Cytometry
Kaitlin C O'Boyle1, Takuya Ohtani1, Sasikanth Manne1
1Department of Systems Pharmacology and Translational Therapeutics, Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Methods in Molecular Biology (Clifton, N.J.)
|January 15, 2020
Summary
Mass cytometry enables deep immunoprofiling of T-cell diversity, overcoming limitations of traditional flow cytometry. This study details methods for mass cytometry and data analysis in patient cohorts, supporting translational science.
Area of Science:
- Immunology
- Biotechnology
- Computational Biology
Background:
- T-cell diversity encompasses antigen specificity, differentiation, function, and trafficking.
- Traditional flow cytometry has limitations in capturing T-cell subset diversity due to spectral overlap.
- Mass cytometry offers deep immunoprofiling capabilities for T-cell subsets, activation, and function.
Purpose of the Study:
- To describe methods for mass cytometry and high-throughput data analysis of T cells in patient cohorts.
- To provide a practical pipeline for customizing mass cytometry panels.
- To support translational science through detailed workflows for high-dimensional data evaluation.
Main Methods:
- Mass cytometry for deep immunoprofiling of T-cell subsets.
- High-throughput data analysis pipelines for patient cohorts.
- Protocols for metal-labeled antibody conjugation, titration, and staining procedures.
Main Results:
- Development of a mass cytometry pipeline for T-cell analysis.
- Detailed protocols for antibody conjugation and staining.
- Provision of R scripts for high-dimensional data evaluation.
Conclusions:
- Mass cytometry significantly enhances the ability to study T-cell diversity and function.
- The provided methods and scripts facilitate translational research in immunology.
- This work offers a comprehensive approach to T-cell immunoprofiling in patient cohorts.

