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人类自然杀伤细胞受体-配体库分析

Profiling of the Human Natural Killer Cell Receptor-Ligand Repertoire.

作者信息

Vendrame Elena, McKechnie Julia L, Ranganath Thanmayi, Zhao Nancy Q, Rustagi Arjun, Vergara Rosemary, Ivison Geoffrey T, Kronstad Lisa M, Simpson Laura J, Blish Catherine A

机构信息

Department of Medicine, Stanford University School of Medicine.

Department of Medicine, Stanford University School of Medicine; Program in Immunology, Stanford University School of Medicine.

出版信息

J Vis Exp. 2020 Nov 19(165). doi: 10.3791/61912.

Abstract

Natural killer (NK) cells are among the first responders to viral infections. The ability of NK cells to rapidly recognize and kill virally infected cells is regulated by their expression of germline-encoded inhibitory and activating receptors. The engagement of these receptors by their cognate ligands on target cells determines whether the intercellular interaction will result in NK cell killing. This protocol details the design and optimization of two complementary mass cytometry (CyTOF) panels. One panel was designed to phenotype NK cells based on receptor expression. The other panel was designed to interrogate expression of known ligands for NK cell receptors on several immune cell subsets. Together, these two panels allow for the profiling of the human NK cell receptor-ligand repertoire. Furthermore, this protocol also details the process by which we stain samples for CyTOF. This process has been optimized for improved reproducibility and standardization. An advantage of CyTOF is its ability to measure over 40 markers in each panel, with minimal signal overlap, allowing researchers to capture the breadth of the NK cell receptor-ligand repertoire. Palladium barcoding also reduces inter-sample variation, as well as consumption of reagents, making it easier to stain samples with each panel in parallel. Limitations of this protocol include the relatively low throughput of CyTOF and the inability to recover cells after analysis. These panels were designed for the analysis of clinical samples from patients suffering from acute and chronic viral infections, including dengue virus, human immunodeficiency virus (HIV), and influenza. However, they can be utilized in any setting to investigate the human NK cell receptor-ligand repertoire. Importantly, these methods can be applied broadly to the design and execution of future CyTOF panels.

摘要

自然杀伤(NK)细胞是病毒感染的首批应答者之一。NK细胞快速识别并杀死病毒感染细胞的能力受其种系编码的抑制性和激活性受体表达的调控。这些受体与靶细胞上同源配体的结合决定了细胞间相互作用是否会导致NK细胞杀伤。本方案详细介绍了两个互补的质谱流式细胞术(CyTOF)面板的设计和优化。一个面板旨在根据受体表达对NK细胞进行表型分析。另一个面板旨在检测几种免疫细胞亚群上NK细胞受体已知配体的表达。这两个面板共同实现了对人类NK细胞受体 - 配体库的分析。此外,本方案还详细介绍了我们对样品进行CyTOF染色的过程。该过程已针对提高重现性和标准化进行了优化。CyTOF的一个优点是其能够在每个面板中测量40多种标志物,信号重叠最小,使研究人员能够捕捉NK细胞受体 - 配体库的广度。钯条形码技术还减少了样本间的差异以及试剂消耗,使得用每个面板并行染色样本更加容易。本方案的局限性包括CyTOF相对较低的通量以及分析后无法回收细胞。这些面板旨在分析患有急性和慢性病毒感染(包括登革热病毒、人类免疫缺陷病毒(HIV)和流感)患者的临床样本。然而,它们可用于任何环境中以研究人类NK细胞受体 - 配体库。重要的是,这些方法可广泛应用于未来CyTOF面板的设计和实施。

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