OMIP-027: Functional analysis of human natural killer cells

穿孔素 CD16 颗粒酶 免疫学 白细胞介素21 NK-92 生物 白细胞介素12 神经细胞粘附分子 免疫系统 自然杀伤细胞 Janus激酶3 淋巴因子激活杀伤细胞 细胞毒性T细胞 CD3型 CD8型 细胞 细胞粘附 体外 生物化学 遗传学
作者
Margaret C. Costanzo,Matthew Creegan,Kerri G. Lal,Michael A. Eller
出处
期刊:Cytometry Part A [Wiley]
卷期号:87 (9): 803-805 被引量:13
标识
DOI:10.1002/cyto.a.22719
摘要

The current panel was developed to characterize the function of human natural killer (NK) cells from cryopreserved peripheral blood mononuclear cells (PBMC). The application of this panel is to identify changes in bulk NK cells and NK cell subsets with regard to receptor expression, and function in the setting of acute human immunodeficiency virus (HIV-1) infection. However, this panel may be applied to a wide variety of disease states and normal conditions to characterize human NK cells (Table 1). The performance of this panel was optimized using frozen PBMC from HIV-infected and uninfected individuals. The panel is being used to evaluate NK cell responses in individuals with acute HIV-1 infection as well as normal healthy individuals participating in HIV vaccine clinical trials. NK cells are large granular lymphocytes within the innate immune system that play a critical role in the control of viral infections 1. Human NK cells have been classically defined as CD3− lymphocytes expressing the neural cell adhesion molecule (NCAM), CD56+, and/or the FcγIIIa receptor, CD16. NK cells can be further subdivided into CD56bright NK cells, which lack the expression of CD16 and CD56dim NK cells, which express CD16. In addition, a subset of CD56−CD16+ NK cells appears to be expanded in chronic viral infections and seems to represent an exhausted/anergic subset of NK cells 1, 2. The most prominent function of NK cells is cytolysis, which is mediated by a number of different mechanisms, including exocytosis of cytoplasmic granules containing perforin and granzyme and antibody-dependent cellular cytotoxicity (ADCC) 1. CD56bright NK cells also play an important role as immune modulatory cells, bridging the innate and adaptive immune responses as they produce soluble factors including cytokines and chemokines 1. The exact mechanisms and function of NK cells in response to virally infected targets are complex and still need to be further characterized. This panel originated from OMIP-007 3 to include exclusion and lineage markers that identify NK cells and was expanded to add markers to explore functional responses to various stimulation conditions. One of these functions, ADCC, leads to NK cell degranulation, identified by CD107a 4, and the release of cytotoxic granules containing perforin and granzyme B 5. Activation of NK cells by various targets also induce the release of cytokines and chemokines, including interferon gamma (INF-γ) and tumor necrosis factor alpha (TNF-α) 5. Due to differential expression patterns of cytokines, cytolytic proteins, and degranulation markers across stimulation conditions, CD107a, INF-γ, TNF-α, granzyme B, and perforin were included in this panel. Independent or combinatorial expression of these markers can give insight into the mechanism of how NK cells respond to various stimulation conditions and how this may be affected in disease states. For laboratories that face technical limitations, INF-γ remains the most sensitive functional marker across stimulation conditions using this procedure. The net effect is to kill virally infected target cells and create an antiviral environment 5. CD57, a marker for terminal differentiation of NK cells and eomesodermin, a transcription factor which regulates functional NK cell maturation 6, 7 are also included. These markers have been shown to be important in identifying the maturational state of NK cells 8-11. All reagents included in the final panel are listed in Table 2. The NK functional panel was tested on HIV-infected and -uninfected individuals. Measurable differences in cytokine production and overall total function between healthy individuals and chronically infected patients (Supporting Information Figure 4) were observed, providing evidence that utilizing this panel is capable of identifying differences in NK cell subsets within various disease states. Details of the optimization of this panel can be found in the Supporting Information. The overall performance of this panel in healthy individuals is displayed in Figure 1. Gating strategy and panel performance for OMIP-027. PBMC were thawed and stained with the human NK cell functional panel as outlined in the Supporting Information. A: Overall successive gating strategy demonstrates initial broad gating on forward and side scatter to include large lymphocytes. Forward area and height are used to discriminate single cells followed by identification of viable cells using an amine reactive dye. Monocytes and B cells are excluded using CD14 and CD19 and T cells are excluded using CD3 and CD4. B: Functional responses of NK cells after various stimulation conditions are displayed in each row. CD56 and CD16 are used to identify NK cells discriminating between multiple populations on the basis of CD56bright, CD56dim, and CD56negative expression levels. The relative amounts of CD107a, INF-γ, TNF-α, Granzyme B, Perforin, and Eomesodermin expression from the total NK cell population as well as CD57 and CD8 expression are shown. This panel is an expansion and modification of OMIP-007, which now includes functional markers, whereas KIR markers, α4β7, CD62L, and HLA-DR, were removed. In addition it represents similarities to OMIP-025, which includes the NK marker CD56 and intracellular cytokines INF-γ and TNF-α. However, our panel includes Fcγ-receptor IIIa (CD16), a proxy marker for cytolytic activity (degranulation marker CD107a), lytic proteins perforin and granzyme B, transcription factor eomesodermin, and differentiation marker CD57, which are not addressed in any other OMIP panels. The authors thank Julie Ake, Mary A. Marovich, Viseth Nguay, and Merlin L. Robb for apheresis samples collected under IRB approved protocols (RV229B/WR#1368 and RV149/WR#1011). The authors would also like to thank all individuals enrolled in these cohorts from whom PBMC were used for optimization and testing of the panel. The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Department of the Army, nor the US Government. Additional Supporting Information may be found in the online version of this article. Supporting Information Supporting Information Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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