Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom;
Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
J Immunol. 2021 Jun 15;206(12):3073-3082. doi: 10.4049/jimmunol.2100063. Epub 2021 Jun 7.
ChipCytometry is a multiplex imaging method that can be used to analyze either cell suspensions or tissue sections. Images are acquired by iterative cycles of immunostaining with fluorescently labeled Abs, followed by photobleaching, which allows the accumulation of multiple markers on a single sample. In this study, we explored the feasibility of using ChipCytometry to identify and phenotype cell subsets, including rare cell types, using a combination of tissue sections and single-cell suspensions. Using ChipCytometry of tissue sections, we successfully demonstrated the architecture of human palatine tonsils, including the B and T cell zones, and characterized subcompartments such as the B cell mantle and germinal center zone, as well as intrafollicular PD1-expressing CD4 T cells. Additionally, we were able to identify the rare tonsillar T cell subsets, mucosal-associated invariant T (MAIT) and γδ-T cells, within tonsil tissue. Using single-cell suspension ChipCytometry, we further dissected human tonsillar T cell subsets via unsupervised clustering analysis as well as supervised traditional manual gating. We were able to show that PD1CD4 T cells are comprised of CXCR5BCL6 follicular Th cells and CXCR5BCL6 pre-follicular Th cells. Both supervised and unsupervised analysis approaches identified MAIT cells in single-cell suspensions, confirming a phenotype similar to that of blood-derived MAIT cells. In this study, we demonstrate that ChipCytometry is a viable method for single-cell suspension cytometry and analysis, with the additional benefit of allowing phenotyping in a spatial context using tissue sections.
芯片细胞术是一种多重成像方法,可用于分析细胞悬浮液或组织切片。通过迭代的免疫荧光染色循环获取图像,随后进行光漂白,从而允许在单个样本上积累多个标记物。在这项研究中,我们探索了使用 ChipCytometry 来识别和表型细胞亚群的可行性,包括罕见的细胞类型,使用组织切片和单细胞悬浮液的组合。使用组织切片的 ChipCytometry,我们成功地展示了人类腭扁桃体的结构,包括 B 和 T 细胞区,并对 B 细胞套区和生发中心区等亚区以及滤泡内表达 PD1 的 CD4 T 细胞进行了特征描述。此外,我们还能够在扁桃体组织中识别出罕见的扁桃体 T 细胞亚群,黏膜相关不变 T(MAIT)和 γδ-T 细胞。通过单细胞悬浮 ChipCytometry,我们通过无监督聚类分析以及有监督的传统手动门控进一步剖析了人类扁桃体 T 细胞亚群。我们能够表明 PD1CD4 T 细胞由 CXCR5BCL6 滤泡性 Th 细胞和 CXCR5BCL6 前滤泡性 Th 细胞组成。有监督和无监督分析方法都在单细胞悬浮液中鉴定出了 MAIT 细胞,证实了与血液衍生的 MAIT 细胞相似的表型。在这项研究中,我们证明了 ChipCytometry 是一种可行的单细胞悬浮细胞术和分析方法,其额外的优点是允许使用组织切片在空间背景下进行表型分析。