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      Dissection of Influenza Infection In Vivo by Single-Cell RNA Sequencing

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          Summary

          The influenza virus is a major cause of morbidity and mortality worldwide. Yet, both the impact of intracellular viral replication and the variation in host response across different cell types remain uncharacterized. Here we used single-cell RNA sequencing to investigate the heterogeneity in the response of lung tissue cells to in vivo influenza infection. Analysis of viral and host transcriptomes in the same single cell enabled us to resolve the cellular heterogeneity of bystander (exposed but uninfected) as compared with infected cells. We reveal that all major immune and non-immune cell types manifest substantial fractions of infected cells, albeit at low viral transcriptome loads relative to epithelial cells. We show that all cell types respond primarily with a robust generic transcriptional response, and we demonstrate novel markers specific for influenza-infected as opposed to bystander cells. These findings open new avenues for targeted therapy aimed exclusively at infected cells.

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          Highlights

          • Combined measurements of host-viral scRNA-seq during in vivo influenza infection

          • High prevalence of infection in a variety of immune and non-immune cell types

          • Extensive cellular heterogeneity exists within infected and bystander cells

          • Generic and cell-type-specific differences between infected and bystander cells

          Abstract

          Simultaneous mapping of host and viral transcriptomes at the same single cell provides a framework to study host-viral interactions. Analysis of cells derived from lungs of in vivo influenza infection reveals both generic and cell-type-specific infection response. By analyzing the cellular heterogeneity of both bystander (exposed but uninfected) and infected cells, we characterize novel markers specific for influenza-infected as opposed to bystanders. These findings open new avenues for targeted therapy aimed exclusively at infected cells.

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          Most cited references21

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          Innate immunity to influenza virus infection.

          Influenza viruses are a major pathogen of both humans and animals. Recent studies using gene-knockout mice have led to an in-depth understanding of the innate sensors that detect influenza virus infection in a variety of cell types. Signalling downstream of these sensors induces distinct sets of effector mechanisms that block virus replication and promote viral clearance by inducing innate and adaptive immune responses. In this Review, we discuss the various ways in which the innate immune system uses pattern recognition receptors to detect and respond to influenza virus infection. We consider whether the outcome of innate sensor stimulation promotes antiviral resistance or disease tolerance, and propose rational treatment strategies for the acute respiratory disease that is caused by influenza virus infection.
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            Is Open Access

            Classification of low quality cells from single-cell RNA-seq data

            Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic approach for processing scRNA-seq data and detecting low quality cells, using a curated set of over 20 biological and technical features. Our approach improves classification accuracy by over 30 % compared to traditional methods when tested on over 5,000 cells, including CD4+ T cells, bone marrow dendritic cells, and mouse embryonic stem cells. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-0888-1) contains supplementary material, which is available to authorized users.
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              Visualizing data using ti-SNE

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                Author and article information

                Contributors
                Journal
                Cell Syst
                Cell Syst
                Cell Systems
                Elsevier Inc.
                2405-4712
                2405-4720
                6 June 2018
                27 June 2018
                6 June 2018
                : 6
                : 6
                : 679-691.e4
                Affiliations
                [1 ]School of Molecular Cell Biology and Biotechnology, Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 6997801 Tel Aviv, Israel
                [2 ]Department of Immunology, The Weizmann Institute of Science, 7610001 Rehovot, Israel
                Author notes
                []Corresponding author ido.amit@ 123456weizmann.ac.il
                [∗∗ ]Corresponding author iritgv@ 123456post.tau.ac.il
                [3]

                These authors contributed equally

                [4]

                Lead Contact

                Article
                S2405-4712(18)30196-0
                10.1016/j.cels.2018.05.008
                7185763
                29886109
                0142e0ed-49ff-40a8-b2e9-ef290fcb19d4
                © 2018 Elsevier Inc.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 18 December 2017
                : 4 April 2018
                : 10 May 2018
                Categories
                Article

                influenza infection in vivo,single-cell rna sequencing,immune and non-immune cell types,bystander versus infected cells

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