4.7 Article

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

Journal

CELL SYSTEMS
Volume 6, Issue 6, Pages 679-+

Publisher

CELL PRESS
DOI: 10.1016/j.cels.2018.05.008

Keywords

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Funding

  1. European Research Council [637885]
  2. Israeli Centers of Research Excellence (I-CORE) center [41/11]
  3. Edmond J. Safra Center for Bioinformatics at Tel Aviv University
  4. Broad-ISF [1168/14]
  5. Shulamit Aloni Scholarship
  6. ISF [288/16]
  7. Applied and Engineering Science, Israeli government, Ministry of Science and Technology
  8. Chan Zuckerberg Initiative
  9. Howard Hughes Medical Institute International Scholar Award
  10. European Research Council Consolidator Grant [724471-HemTree2.0]
  11. Melanoma Research Alliance Established Investigator Award [509044]
  12. Israel Science Foundation [703/15]
  13. Ernest and Bonnie Beutler Research Program of Excellence in Genomic Medicine
  14. Helen and Martin Kimmel Award for Innovative Investigation
  15. Minerva Stiftung research grant
  16. Israeli Ministry of Science, Technology, and Space
  17. David and Fela Shapell Family Foundation
  18. NeuroMac DFG (German Research Foundation)/Transregional Collaborative Research Center Grant
  19. Abramson Family Center for Young Scientists
  20. European Research Council (ERC) [637885] Funding Source: European Research Council (ERC)

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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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