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      Human dendritic cell subsets: An updated view of their ontogeny and functional specialization

      review-article
      1 ,
      European Journal of Immunology
      John Wiley and Sons Inc.
      Human, dendritic cell, subsets

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          Abstract

          Human DCs have been divided into several subsets based on their phenotype and ontogeny. Recent high throughput single‐cell methods have revealed additional heterogeneity within human DC subsets, and new subpopulations have been proposed. In this review, we provide an updated view of the human DC subsets and of their ontogeny supported by recent clinical studies . We also summarize their main characteristics including their functional specialization.

          Abstract

          We provide an updated view of the human dendritic cell subsets and of their ontogeny. We also summarize their main characteristics including their functional specialization.

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          Most cited references99

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          Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

          Dendritic cells (DCs) and monocytes play a central role in pathogen sensing, phagocytosis, and antigen presentation and consist of multiple specialized subtypes. However, their identities and interrelationships are not fully understood. Using unbiased single-cell RNA sequencing (RNA-seq) of ~2400 cells, we identified six human DCs and four monocyte subtypes in human blood. Our study reveals a new DC subset that shares properties with plasmacytoid DCs (pDCs) but potently activates T cells, thus redefining pDCs; a new subdivision within the CD1C+ subset of DCs; the relationship between blastic plasmacytoid DC neoplasia cells and healthy DCs; and circulating progenitor of conventional DCs (cDCs). Our revised taxonomy will enable more accurate functional and developmental analyses as well as immune monitoring in health and disease.
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            Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

            To guide the design of immunotherapy strategies for patients with early stage lung tumors, we developed a multiscale immune profiling strategy to map the immune landscape of early lung adenocarcinoma lesions to search for tumor-driven immune changes. Utilizing a barcoding method that allows a simultaneous single cell analysis of the tumor, non-involved lung and blood cells together with multiplex tissue imaging to assess spatial cell distribution, we provide a detailed immune cell atlas of early lung tumors. We show that stage I lung adenocarcinoma lesions already harbor significantly altered T cell and NK cell compartments. Moreover, we identified changes in tumor infiltrating myeloid cell (TIM) subsets that likely compromise anti-tumor T cell immunity. Paired single cell analyses thus offer valuable knowledge of tumor-driven immune changes, providing a powerful tool for the rational design of immune therapies. Comparing single tumor cells with adjacent normal tissue and blood from patients with lung adenocarcinoma charts early changes in tumor immunity and provides insights to guide immunotherapy design.
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              Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species

              Tumor-infiltrating myeloid cells (TIMs) comprise monocytes, macrophages, dendritic cells and neutrophils, and have emerged as key regulators of cancer growth. These cells can diversify into a spectrum of states, which may promote or limit tumor outgrowth, but remain poorly understood. Here, we used single-cell RNA sequencing to map TIMs in non-small cell lung cancer patients. We uncovered 25 TIM states, most of which were reproducibly found across patients. To facilitate translational research of these populations, we also profiled TIMs in mice. In comparing TIMs across species, we identified a near-complete congruence of population structures among dendritic cells and monocytes; conserved neutrophil subsets; and species differences among macrophages. By contrast, myeloid cell population structures in patients’ blood showed limited overlap with those of TIMs. This study determines the lung TIM landscape and sets the stage for future investigations into the potential of TIMs as immunotherapy targets. Tumor-infiltrating myeloid cells (TIM) have emerged as key cancer regulators and potential next-generation immunotherapy targets, yet they remain incompletely understood. Using single cell RNA-seq, Zilionis et al. map the TIM landscape in human and murine lung tumors and systematically compare cell states, revealing conserved myeloid populations across individuals and species.
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                Author and article information

                Contributors
                elodie.segura@curie.fr
                Journal
                Eur J Immunol
                Eur J Immunol
                10.1002/(ISSN)1521-4141
                EJI
                European Journal of Immunology
                John Wiley and Sons Inc. (Hoboken )
                0014-2980
                1521-4141
                11 March 2022
                November 2022
                : 52
                : 11 ( doiID: 10.1002/eji.v52.11 )
                : 1759-1767
                Affiliations
                [ 1 ] Institut Curie PSL Research University Paris France
                Author notes
                [*] [* ] Full correspondence : Elodie Segura, Institut Curie, PSL Research University, INSERM, U932, 26 rue d'Ulm, 75005 Paris, France.

                Email: elodie.segura@ 123456curie.fr

                Author information
                https://orcid.org/0000-0003-1795-1921
                Article
                EJI5246
                10.1002/eji.202149632
                9790408
                35187651
                8c8390b0-3ffe-46c4-a97d-c70b38027954
                © 2022 The Authors. European Journal of Immunology published by Wiley‐VCH GmbH

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 13 January 2022
                : 26 October 2021
                : 03 February 2022
                Page count
                Figures: 2, Tables: 2, Pages: 9, Words: 6650
                Categories
                Review|Clinical
                Highlights
                Reviews
                Clinical
                Custom metadata
                2.0
                November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:25.12.2022

                Immunology
                human,dendritic cell,subsets
                Immunology
                human, dendritic cell, subsets

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