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      29-Color Flow Cytometry: Unraveling Human Liver NK Cell Repertoire Diversity

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          Abstract

          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.

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          Most cited references20

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          Natural killer cells and other innate lymphoid cells in cancer

          Immuno-oncology is an emerging field that has revolutionized cancer treatment. Most immunomodulatory strategies focus on enhancing T cell responses, but there has been a recent surge of interest in harnessing the relatively underexplored natural killer (NK) cell compartment for therapeutic interventions. NK cells show cytotoxic activity against diverse tumour cell types, and some of the clinical approaches originally developed to increase T cell cytotoxicity may also activate NK cells. Moreover, increasing numbers of studies have identified novel methods for increasing NK cell antitumour immunity and expanding NK cell populations ex vivo, thereby paving the way for a new generation of anticancer immunotherapies. The role of other innate lymphoid cells (group 1 innate lymphoid cell (ILC1), ILC2 and ILC3 subsets) in tumours is also being actively explored. This Review provides an overview of the field and summarizes current immunotherapeutic approaches for solid tumours and haematological malignancies.
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            "Natural" killer cells in the mouse. I. Cytotoxic cells with specificity for mouse Moloney leukemia cells. Specificity and distribution according to genotype.

            In the spleens of young, adult mice there exist naturally occurring killer lymphocytes with specificity for mouse Moloney leukemia cells. The lytic activity was directed against syngeneic or allogeneic Moloney leukemia cells to a similar extent, but was primarily expressed when tested against in vitro grown leukemia cells. Two leukemias of non-Moloney origin were resistant and so was the mastocytoma line P815. Although killer activity varied between different strains of mice, the specificity of lysis was the same as indicated by competition experiments using unlabeled Moloney or other tumor cells as inhibitors in the cytotoxic assays. Capacity to compete and sensitivy to lysis by the killer cells were found to be highly positively correlated. Analysis of the kinetics of the cytotoxic assay revealed a rapid induction of lysis within one to four hours, arguing against any conventional in vitro induction of immune response. No evidence was found of soluble factors playing any role in the cytolytic assay.
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              The properties of high-dimensional data spaces: implications for exploring gene and protein expression data.

              High-throughput genomic and proteomic technologies are widely used in cancer research to build better predictive models of diagnosis, prognosis and therapy, to identify and characterize key signalling networks and to find new targets for drug development. These technologies present investigators with the task of extracting meaningful statistical and biological information from high-dimensional data spaces, wherein each sample is defined by hundreds or thousands of measurements, usually concurrently obtained. The properties of high dimensionality are often poorly understood or overlooked in data modelling and analysis. From the perspective of translational science, this Review discusses the properties of high-dimensional data spaces that arise in genomic and proteomic studies and the challenges they can pose for data analysis and interpretation.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                19 November 2019
                2019
                : 10
                : 2692
                Affiliations
                [1] 1Department of Medicine Huddinge, Center for Infectious Medicine, Karolinska Institute, Karolinska University Hospital , Stockholm, Sweden
                [2] 2Division of Transplantation Surgery, Department of Clinical Science, Intervention and Technology, Karolinska Institute , Stockholm, Sweden
                [3] 3Department of Surgical Sciences, Uppsala University , Uppsala, Sweden
                Author notes

                Edited by: Ewa Sitnicka, Lund University, Sweden

                Reviewed by: Wayne Yokoyama, Washington University in St. Louis, United States; Rafael Solana, Universidad de Córdoba, Spain

                *Correspondence: Niklas K. Björkström niklas.bjorkstrom@ 123456ki.se

                This article was submitted to NK and Innate Lymphoid Cell Biology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2019.02692
                6878906
                31798596
                b0bf6058-55da-482b-b524-4532aedee4f1
                Copyright © 2019 Filipovic, Sönnerborg, Strunz, Friberg, Cornillet, Hertwig, Ivarsson and Björkström.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 30 August 2019
                : 01 November 2019
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 42, Pages: 14, Words: 8835
                Funding
                Funded by: Vetenskapsrådet 10.13039/501100004359
                Award ID: 2014-02055
                Funded by: Cancerfonden 10.13039/501100002794
                Award ID: CAN2014/447
                Award ID: CAN2017/418
                Funded by: Stiftelsen för Strategisk Forskning 10.13039/501100001729
                Award ID: FFL-0044
                Award ID: SB12-0003
                Funded by: Radiumhemmets Forskningsfonder 10.13039/501100007232
                Award ID: 131022
                Award ID: 151023
                Funded by: Svenska Sällskapet för Medicinsk Forskning 10.13039/501100003748
                Award ID: 4-7/2014
                Funded by: Knut och Alice Wallenbergs Stiftelse 10.13039/501100004063
                Award ID: 4-3455/2016
                Funded by: Novo Nordisk Fonden 10.13039/501100009708
                Award ID: NNF14OC0009347
                Funded by: Stockholms Läns Landsting 10.13039/501100004348
                Award ID: 20160032
                Award ID: 20170017
                Funded by: Wenner-Gren Foundation 10.13039/100001388
                Award ID: FT2018-0001
                Categories
                Immunology
                Original Research

                Immunology
                natural killer cells,liver immunology,tissue-resident cells,high-dimensional,flow cytometry

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