质量细胞仪
流式细胞术
效应器
生物
单细胞分析
免疫系统
背景(考古学)
细胞生物学
细胞
免疫学
表型
计算生物学
遗传学
基因
古生物学
作者
Giorgia Alvisi,Simone Puccio,Rahul Roychoudhuri,Caterina Scirgolea,Enrico Lugli
出处
期刊:Methods in molecular biology
日期:2022-09-30
卷期号:: 243-257
被引量:1
标识
DOI:10.1007/978-1-0716-2647-4_16
摘要
CD4+ T regulatory cells (Tregs) are a specialized subset of T lymphocytes, which promote immune homeostasis and tumor immunosuppression by restricting effector T cell immune responses. The characterization of context-specific Treg phenotypic heterogeneity is pivotal to determine their potential contributions to diseases. In the recent years, high-dimensional single-cell technologies, such as single-cell RNA sequencing, mass cytometry, or polychromatic flow cytometry, have played a central role in elucidating the heterogeneity of the Treg compartment at the cellular and molecular levels. Here we describe an example of high-dimensional flow cytometry analysis capable of defining an effector Treg subpopulation that positively correlates with cancer progression. Moreover, we provide a workflow template of high-dimensional single-cell analysis that is readily applicable to any leukocyte subpopulation.
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