Department of Medicine Huddinge, Center for Infectious Medicine, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden.
Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology, Karolinska Institute, Stockholm, Sweden.
Front Immunol. 2019 Nov 19;10:2692. doi: 10.3389/fimmu.2019.02692. eCollection 2019.
Recent studies have demonstrated extraordinary diversity in peripheral blood human natural killer (NK) cells and have suggested environmental control of receptor expression patterns on distinct subsets of NK cells. However, tissue localization may influence NK cell differentiation to an even higher extent and less is known about the receptor repertoire of human tissue-resident NK cells. Advances in single-cell technologies have allowed higher resolution studies of these cells. Here, the power of high-dimensional flow cytometry was harnessed to unravel the complexity of NK cell repertoire diversity in liver since recent studies had indicated high heterogeneity within liver NK cells. A 29-color flow cytometry panel allowing simultaneous measurement of surface tissue-residency markers, activating and inhibitory receptors, differentiation markers, chemokine receptors, and transcription factors was established. This panel was applied to lymphocytes across three tissues (liver, peripheral blood, and tonsil) with different distribution of distinct NK cell subsets. Dimensionality reduction of this data ordered events according to their lineage, rather than tissue of origin. Notably, narrowing the scope of the analysis to the NK cell lineage in liver and peripheral blood separated subsets according to tissue, enabling phenotypic characterization of NK cell subpopulations in individual tissues. Such dimensionality reduction, coupled with a clustering algorithm, identified CD49e as the preferred marker for future studies of liver-resident NK cell subsets. We present a robust approach for diversity profiling of tissue-resident NK cells that can be applied in various homeostatic and pathological conditions such as reproduction, infection, and cancer.
最近的研究表明,外周血人类自然杀伤 (NK) 细胞具有非凡的多样性,并提示环境控制 NK 细胞不同亚群上受体表达模式。然而,组织定位可能会对 NK 细胞分化产生更大的影响,而关于人类组织驻留 NK 细胞的受体谱知之甚少。单细胞技术的进步使得对这些细胞进行更高分辨率的研究成为可能。在这里,高维流式细胞术的强大功能被用来揭示肝脏 NK 细胞 repertoire 多样性的复杂性,因为最近的研究表明肝脏 NK 细胞内存在高度异质性。建立了一个 29 色流式细胞术面板,允许同时测量表面组织驻留标记物、激活和抑制受体、分化标记物、趋化因子受体和转录因子。该面板应用于来自三个组织(肝脏、外周血和扁桃体)的淋巴细胞,这些组织具有不同的 NK 细胞亚群分布。对这些数据进行降维处理,根据细胞谱系而不是组织来源对事件进行排序。值得注意的是,将分析范围缩小到肝脏和外周血中的 NK 细胞谱系,可以根据组织分离亚群,从而能够对单个组织中的 NK 细胞亚群进行表型特征分析。这种降维和聚类算法相结合,确定 CD49e 是未来研究肝脏驻留 NK 细胞亚群的首选标记物。我们提出了一种用于组织驻留 NK 细胞多样性分析的稳健方法,可应用于各种稳态和病理条件,如生殖、感染和癌症。