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      Expansions of adaptive-like NK cells with a tissue-resident phenotype in human lung and blood

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          Significance

          Respiratory diseases are leading causes of death worldwide. However, the local immune cell composition in the human lung and individual outliers within the population still remain largely undescribed. We here identify adaptive-like NK cell expansions with tissue-resident traits in lung and blood in approximately 20% of individuals. This particular NK cell subset, which differed from adaptive-like CD16 + blood NK cells, was hyperresponsive to target cell stimulation. Individuals with such in vivo-primed, expanded NK cells will likely experience a different course of acute lung disease such as viral infections. Furthermore, we believe that target cell-hyperresponsive tissue-resident NK cells represent a future tool in the treatment of lung cancer.

          Abstract

          Human adaptive-like “memory” CD56 dimCD16 + natural killer (NK) cells in peripheral blood from cytomegalovirus-seropositive individuals have been extensively investigated in recent years and are currently explored as a treatment strategy for hematological cancers. However, treatment of solid tumors remains limited due to insufficient NK cell tumor infiltration, and it is unknown whether large expansions of adaptive-like NK cells that are equipped for tissue residency and tumor homing exist in peripheral tissues. Here, we show that human lung and blood contains adaptive-like CD56 brightCD16 NK cells with hallmarks of tissue residency, including expression of CD49a. Expansions of adaptive-like lung tissue-resident NK (trNK) cells were found to be present independently of adaptive-like CD56 dimCD16 + NK cells and to be hyperresponsive toward target cells. Together, our data demonstrate that phenotypically, functionally, and developmentally distinct subsets of adaptive-like NK cells exist in human lung and blood. Given their tissue-related character and hyperresponsiveness, human lung adaptive-like trNK cells might represent a suitable alternative for therapies targeting solid tumors.

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          Most cited references56

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference

              We introduce Salmon, a method for quantifying transcript abundance from RNA-seq reads that is accurate and fast. Salmon is the first transcriptome-wide quantifier to correct for fragment GC content bias, which we demonstrate substantially improves the accuracy of abundance estimates and the reliability of subsequent differential expression analysis. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                16 March 2021
                08 March 2021
                08 March 2021
                : 118
                : 11
                : e2016580118
                Affiliations
                [1] aCenter for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet , 14152 Stockholm, Sweden;
                [2] bDepartment of Cell and Molecular Biology, Karolinska Institutet , 171 77 Stockholm, Sweden;
                [3] cTranslational Immunology Research Program, University of Helsinki , 00014 Helsinki, Finland;
                [4] dDepartment of Bacteriology and Immunology, University of Helsinki , 00014 Helsinki, Finland;
                [5] eHelsinki University Central Hospital Laboratory, Division of Clinical Microbiology, Helsinki University Hospital , 00290 Helsinki, Finland;
                [6] fDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA 19104;
                [7] gInstitute for Immunology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA 19104;
                [8] hThoracic Surgery, Department of Molecular Medicine and Surgery, Karolinska University Hospital, Karolinska Institutet , 171 76 Stockholm, Sweden
                Author notes
                3To whom correspondence may be addressed. Email: nicole.marquardt@ 123456ki.se .

                Edited by Marco Colonna, Washington University in St. Louis School of Medicine, St. Louis, MO, and approved January 27, 2021 (received for review August 18, 2020)

                Author contributions: N.M. and J.M. designed research; D.B., M.S., J.E.M., J.H., J.N.W., N.M., and J.M. performed research; M.A.-A. contributed new reagents/analytic tools; D.B., M.S., J.E.M., J.H., E.K., M.B., S.N., J.N.W., N.M., and J.M. analyzed data; H.-G.L., N.M., and J.M. provided funding; and H.-G.L., N.M., and J.M. wrote the paper.

                1D.B. and M.S. contributed equally to this work.

                2N.M. and J.M. contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-5932-6425
                https://orcid.org/0000-0002-7659-7216
                https://orcid.org/0000-0003-2195-2978
                https://orcid.org/0000-0003-4575-5629
                https://orcid.org/0000-0001-6045-108X
                https://orcid.org/0000-0003-0633-1719
                https://orcid.org/0000-0003-0908-7387
                https://orcid.org/0000-0003-3186-4752
                Article
                202016580
                10.1073/pnas.2016580118
                7980282
                33836578
                219dfcfd-65b5-46b4-aff3-f2f4efb647ea
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 12
                Categories
                420
                Biological Sciences
                Immunology and Inflammation

                nk cells,adaptive,memory,lung,tissue-resident
                nk cells, adaptive, memory, lung, tissue-resident

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