A unique human cord blood CD8(+)CD45RA(+)CD27(+)CD161(+) T-cell subset identified by flow cytometric data analysis using Seurat
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Autor
Reyes, Julen Gabirel Araneta
Ni, Duan
Santner-Nanan, Brigitte
Pinget, Gabriela Veronica
Kraftová, Lucie
Ashhurst, Thomas Myles
Marsh-Wakefield, Felix
Wishart, Claire Leana
Tan, Jian
Hsu, Peter
King, Nicholas Jonathan Cole
Macia, Laurence
Nanan, Ralph
Datum vydání
2024Publikováno v
ImmunologyRočník / Číslo vydání
173 (1)ISBN / ISSN
ISSN: 0019-2805ISBN / ISSN
eISSN: 1365-2567Metadata
Zobrazit celý záznamKolekce
Tato publikace má vydavatelskou verzi s DOI 10.1111/imm.13803
Abstrakt
Advances in single-cell level analytical techniques, especially cytometric approaches, have led to profound innovation in biomedical research, particularly in the field of clinical immunology. This has resulted in an expansion of high-dimensional data, posing great challenges for comprehensive and unbiased analysis. Conventional manual analysis is thus becoming untenable to handle these challenges. Furthermore, most newly developed computational methods lack flexibility and interoperability, hampering their accessibility and usability. Here, we adapted Seurat, an R package originally developed for single-cell RNA sequencing (scRNA-seq) analysis, for high-dimensional flow cytometric data analysis. Based on a 20-marker antibody panel and analyses of T-cell profiles in both adult blood and cord blood (CB), we showcased the robust capacity of Seurat in flow cytometric data analysis, which was further validated by Spectre, another high-dimensional cytometric data analysis package, and conventional manual analysis. Importantly, we identified a unique CD8(+) T-cell population defined as CD8(+)CD45RA(+)CD27(+)CD161(+) T cell that was predominantly present in CB. We characterised its IFN-γ-producing and potential cytotoxic properties using flow cytometry experiments and scRNA-seq analysis from a published dataset. Collectively, we identified a unique human CB CD8(+)CD45RA(+)CD27(+)CD161(+) T-cell subset and demonstrated that Seurat, a widely used package for scRNA-seq analysis, possesses great potential to be repurposed for cytometric data analysis. This facilitates an unbiased and thorough interpretation of complicated high-dimensional data using a single analytical pipeline and opens a novel avenue for data-driven investigation in clinical immunology.
Klíčová slova
CD8+CD45RA+CD27+CD161+ T cells, Seurat, T cells, cord blood mononuclear cells (CBMCs), high‐dimensional flow cytometry, peripheral blood mononuclear cells (PBMCs)
Trvalý odkaz
https://hdl.handle.net/20.500.14178/2497Licence
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