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      Early Cytokine Induction Upon Pseudomonas aeruginosa Infection in Murine Precision Cut Lung Slices Depends on Sensing of Bacterial Viability

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          Abstract

          Breathing allows a multitude of airborne microbes and microbial compounds to access the lung. Constant exposure of the pulmonary microenvironment to immunogenic particles illustrates the need for proper control mechanisms ensuring the differentiation between threatening and harmless encounters. Discrimination between live and dead bacteria has been suggested to be such a mechanism. In this study, we performed infection studies of murine precision cut lung slices (PCLS) with live or heat-killed P. aeruginosa, in order to investigate the role of viability for induction of an innate immune response. We demonstrate that PCLS induce a robust transcriptomic rewiring upon infection with live but not heat-killed P. aeruginosa. Using mutants of the P. aeruginosa clinical isolate CHA, we show that the viability status of P. aeruginosa is assessed in PCLS by TLR5-independent sensing of flagellin and recognition of the type three secretion system. We further demonstrate that enhanced cytokine expression towards live P. aeruginosa is mediated by uptake of viable but not heat-killed bacteria. Finally, by using a combined approach of receptor blockage and genetically modified PCLS we report a redundant involvement of MARCO and CD200R1 in the uptake of live P. aeruginosa in PCLS. Altogether, our results show that PCLS adapt the extent of cytokine expression to the viability status of P. aeruginosa by specifically internalizing live bacteria.

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          Most cited references67

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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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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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              The Sequence Alignment/Map format and SAMtools

              Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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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
                30 October 2020
                2020
                : 11
                : 598636
                Affiliations
                [1] 1Department of Infectious Diseases, Medical Microbiology and Hygiene, Heidelberg University Hospital , Heidelberg, Germany
                [2] 2Institute of Medical Microbiology and Hygiene, Technische Universität Dresden , Dresden, Germany
                [3] 3CMCP—Center for Model System and Comparative Pathology, Institute of Pathology, Heidelberg University Hospital , Heidelberg, Germany
                [4] 4Division of Infection, Immunity and Respiratory Medicine, School of Biological Science, Faculty of Biology, Medicine and Health, Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester Academic Health Science Centre , Manchester, United Kingdom
                [5] 5Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg , Heidelberg, Germany
                Author notes

                Edited by: Markus M. Heimesaat, Charité–Universitätsmedizin Berlin, Germany

                Reviewed by: Renan Mauch, Campinas State University, Brazil; Jean-Michel Sallenave, INSERM U1152 Physiopathologie et Epidémiologie des Maladies Respiratoires, France

                *Correspondence: Alexander H. Dalpke, alexander.dalpke@ 123456ukdd.de

                This article was submitted to Microbial Immunology, a section of the journal Frontiers in Immunology

                †Present address: Alexander H. Dalpke, Medical Faculty, Institute of Medical Microbiology and Hygiene, Technische Universität Dresden, Dresden, Germany

                ‡These authors have contributed equally to this work and share senior authorship

                Article
                10.3389/fimmu.2020.598636
                7673395
                33250899
                8859a5a0-7e4b-49e8-82e2-f98b4a6bd93c
                Copyright © 2020 Kolbe, Yi, Poth, Saunders, Boutin and Dalpke

                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
                : 25 August 2020
                : 07 October 2020
                Page count
                Figures: 8, Tables: 1, Equations: 0, References: 69, Pages: 16, Words: 9517
                Funding
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Categories
                Immunology
                Original Research

                Immunology
                precision cut lung slice,pseudomonas aeruginosa,live/dead discrimination,innate immunity,infection and immunity

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