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      Genetic Influence on the Peripheral Differentiation Signature of Vδ2+ γδ and CD4+ αβ T Cells in Adults

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          Abstract

          Adaptive as well as innate immune traits are variously affected by environmental and genetic influences, but little is known about the impact of genetics on the diversity, differentiation and functionality of γδ T cells in humans. Here, we analyzed a cohort of 95 middle-aged twins from the Danish Twin Registry. The differentiation status of peripheral αβ and γδ T cells was assessed by flow cytometry based on the surface expression of CD27, CD28 and CD45RA. Our data confirm the established associations of latent cytomegalovirus (CMV) infection with an accumulation of late differentiated memory T cells in the αβ compartment as well as in the Vδ1+ γδ T cell subset. A comparison of differentiation phenotypes of γδ and αβ T cells that were not affected by CMV seropositivity identified a significant correlation of early differentiated (ED) Vδ2+ and intermediate differentiated (ID) CD4+ T cells in monozygotic (MZ), but not in dizygotic (DZ) co-twins. Thus, our data suggest a genetic influence on the differentiation of γδ and αß T cell subsets.

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          The who's who of T-cell differentiation: human memory T-cell subsets.

          Following antigen encounter and subsequent resolution of the immune response, a single naïve T cell is able to generate multiple subsets of memory T cells with different phenotypic and functional properties and gene expression profiles. Single-cell technologies, first and foremost flow cytometry, have revealed the complex heterogeneity of the memory T-cell compartment and its organization into subsets. However, a consensus has still to be reached, both at the semantic (nomenclature) and phenotypic level, regarding the identification of these subsets. Here, we review recent developments in the characterization of the heterogeneity of the memory T-cell compartment, and propose a unified classification of both human and nonhuman primate T cells on the basis of phenotypic traits and in vivo properties. Given that vaccine studies and adoptive cell transfer immunotherapy protocols are influenced by these recent findings, it is important to use uniform methods for identifying and discussing functionally distinct subsets of T cells. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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            Variation in the human immune system is largely driven by non-heritable influences.

            There is considerable heterogeneity in immunological parameters between individuals, but its sources are largely unknown. To assess the relative contribution of heritable versus non-heritable factors, we have performed a systems-level analysis of 210 healthy twins between 8 and 82 years of age. We measured 204 different parameters, including cell population frequencies, cytokine responses, and serum proteins, and found that 77% of these are dominated (>50% of variance) and 58% almost completely determined (>80% of variance) by non-heritable influences. In addition, some of these parameters become more variable with age, suggesting the cumulative influence of environmental exposure. Similarly, the serological responses to seasonal influenza vaccination are also determined largely by non-heritable factors, likely due to repeated exposure to different strains. Lastly, in MZ twins discordant for cytomegalovirus infection, more than half of all parameters are affected. These results highlight the largely reactive and adaptive nature of the immune system in healthy individuals. Copyright © 2015 Elsevier Inc. All rights reserved.
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              γδ T cells: pleiotropic immune effectors with therapeutic potential in cancer

              The potential of cancer immunotherapy relies on the mobilization of immune cells capable of producing antitumour cytokines and effectively killing tumour cells. These are major attributes of γδ T cells, a lymphoid lineage that is often underestimated despite its major role in tumour immune surveillance, which has been established in a variety of preclinical cancer models. This situation notwithstanding, in particular instances the tumour microenvironment seemingly mobilizes γδ T cells with immunosuppressive or tumour-promoting functions, thus emphasizing the importance of regulating γδ T cell responses in order to realize their translation into effective cancer immunotherapies. In this Review we outline both seminal work and recent advances in our understanding of how γδ T cells participate in tumour immunity and how their functions are regulated in experimental models of cancer. We also discuss the current strategies aimed at maximizing the therapeutic potential of human γδ T cells, on the eve of their exploration in cancer clinical trials that may position them as key players in cancer immunotherapy.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Cells
                Cells
                cells
                Cells
                MDPI
                2073-4409
                11 February 2021
                February 2021
                : 10
                : 2
                : 373
                Affiliations
                [1 ]Department of Dermatology, University Medical Center, 72072 Tübingen, Germany; nicola.beucke@ 123456student.uni-tuebingen.de (N.B.); svenja.wingerter@ 123456student.uni-tuebingen.de (S.W.)
                [2 ]Department of Internal Medicine II, University Hospital Tübingen, 72076 Tübingen, Germany; Karin.Haehnel@ 123456med.uni-tuebingen.de
                [3 ]The Danish Twin Register, University of Southern Denmark, 5000 Odense C, Denmark; laalarsen@ 123456health.sdu.dk (L.A.L.); KChristensen@ 123456health.sdu.dk (K.C.)
                [4 ]Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, 72076 Tübingen, Germany; graham.pawelec@ 123456uni-tuebingen.de
                [5 ]Health Sciences North Research Institute, Sudbury, ON P3E 2H2, Canada
                Author notes
                [* ]Correspondence: kilian.wistuba-hamprecht@ 123456uni-tuebingen.de ; Tel.: +49-7071-29-80639
                [†]

                These authors contributed equally.

                Author information
                https://orcid.org/0000-0002-0426-0569
                https://orcid.org/0000-0002-3600-0163
                https://orcid.org/0000-0002-3104-8512
                Article
                cells-10-00373
                10.3390/cells10020373
                7918850
                f4b6a09c-e9f8-435a-9bb6-83c4ba8f78a1
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 December 2020
                : 03 February 2021
                Categories
                Article

                γδ t cell differentiation,genetic impact,cmv,flow cytometry,immunomonitoring

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