Exploration of T-cell diversity using mass cytometry

Kaitlin C O'Boyle, Takuya Ohtani, Sasikanth Manne

T-cell diversity is multifactorial and includes variability in antigen specificity, differentiation, function, and cell-trafficking potential. Spectral overlap limits the ability of traditional flow cytometry to fully capture the diversity of T-cell subsets and function. The development of mass cytometry permits deep immunoprofiling of T-cell subsets, activation state, and function simultaneously from even small volumes of blood. This chapter describes our methods for mass cytometry and high-throughput data analysis of T cells in patient cohorts. We provide a pipeline that includes practical considerations when customizing a panel for mass cytometry. We also provide protocols for the conjugation and titration of metal-labeled antibodies (including two T-cell panels) and a staining procedure. Finally, with the aim to support translational science, we provide R scripts that contain a detailed workflow for initial evaluation of high-dimensional data generated from cohorts of patients.

Keywords: Clustering; CyTOF; Data processing; High-throughput analysis; Mass cytometry; R; Systems biology; T cells.


Kaitlin C O'Boyle, Takuya Ohtani, Sasikanth Manne "Exploration of T-cell diversity using mass cytometry" Methods in Molecular Biology (2020): DOI: 10.1007/978-1-0716-0266-9_1