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408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses
BACKGROUND: Seroprevalence and surveillance studies indicate that influenza C virus (ICV) infection is common among humans, and initial exposure occurs early in life. ICV often causes milder disease than influenza A and B viruses, but the mechanisms underlying differences in pathogenicity remain poo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810117/ http://dx.doi.org/10.1093/ofid/ofz360.481 |
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author | Thielen, Beth Kristine Christensen, Jaime K. Strain, Anna Shen, Steven Langlois, Ryan |
author_facet | Thielen, Beth Kristine Christensen, Jaime K. Strain, Anna Shen, Steven Langlois, Ryan |
author_sort | Thielen, Beth Kristine |
collection | PubMed |
description | BACKGROUND: Seroprevalence and surveillance studies indicate that influenza C virus (ICV) infection is common among humans, and initial exposure occurs early in life. ICV often causes milder disease than influenza A and B viruses, but the mechanisms underlying differences in pathogenicity remain poorly understood. METHODS: To compare early events of infection in natural target sites, we cultured primary human tracheal/bronchial epithelial cells under air-liquid interface conditions to allow differentiation. We-infected these cells with human strains of influenza A, B or C virus. Cells were infected at low MOI (0.1) to ensure populations of directly infected cells and uninfected neighboring cells. To compare the early immune response and cell tropism among these viruses, we performed single-cell RNA sequencing of mock- and influenza-infected cells. In parallel, we infected cells pretreated with interferon to mimic later rounds of infection after an early immune response is initiated. RESULTS: Infection of primary cells by all three viruses was confirmed by RT-qPCR of bulk cell lysates. As expected, prior exposure to interferon β results resulted in reduced levels of viral transcripts. At the single-cell level, we identified expression of genes associated with specific cell types, including basal, ciliated and secretory cells. We also identified expression of interferon stimulated genes, but these genes were not homogeneously expressed among all cell subpopulations and varied among cultures infected with different influenza viruses. We also found different patterns in gene expression in cells previously exposed to interferon, suggesting that host environment varies over subsequent rounds of infection. CONCLUSION: Single-cell sequencing is an important tool for studying the host response to influenza infection in complex cellular environments such as the respiratory tract, in which cells vary in their susceptibility to infection and antiviral response. Further analysis will characterize differences among directly infected vs. neighboring cells and correlate responses with pathogenicity. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6810117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68101172019-10-28 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses Thielen, Beth Kristine Christensen, Jaime K. Strain, Anna Shen, Steven Langlois, Ryan Open Forum Infect Dis Abstracts BACKGROUND: Seroprevalence and surveillance studies indicate that influenza C virus (ICV) infection is common among humans, and initial exposure occurs early in life. ICV often causes milder disease than influenza A and B viruses, but the mechanisms underlying differences in pathogenicity remain poorly understood. METHODS: To compare early events of infection in natural target sites, we cultured primary human tracheal/bronchial epithelial cells under air-liquid interface conditions to allow differentiation. We-infected these cells with human strains of influenza A, B or C virus. Cells were infected at low MOI (0.1) to ensure populations of directly infected cells and uninfected neighboring cells. To compare the early immune response and cell tropism among these viruses, we performed single-cell RNA sequencing of mock- and influenza-infected cells. In parallel, we infected cells pretreated with interferon to mimic later rounds of infection after an early immune response is initiated. RESULTS: Infection of primary cells by all three viruses was confirmed by RT-qPCR of bulk cell lysates. As expected, prior exposure to interferon β results resulted in reduced levels of viral transcripts. At the single-cell level, we identified expression of genes associated with specific cell types, including basal, ciliated and secretory cells. We also identified expression of interferon stimulated genes, but these genes were not homogeneously expressed among all cell subpopulations and varied among cultures infected with different influenza viruses. We also found different patterns in gene expression in cells previously exposed to interferon, suggesting that host environment varies over subsequent rounds of infection. CONCLUSION: Single-cell sequencing is an important tool for studying the host response to influenza infection in complex cellular environments such as the respiratory tract, in which cells vary in their susceptibility to infection and antiviral response. Further analysis will characterize differences among directly infected vs. neighboring cells and correlate responses with pathogenicity. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6810117/ http://dx.doi.org/10.1093/ofid/ofz360.481 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Thielen, Beth Kristine Christensen, Jaime K. Strain, Anna Shen, Steven Langlois, Ryan 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title | 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title_full | 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title_fullStr | 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title_full_unstemmed | 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title_short | 408. Single-cell Sequencing Identifies Variability in Host Response Among Different Genera of Influenza Viruses |
title_sort | 408. single-cell sequencing identifies variability in host response among different genera of influenza viruses |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810117/ http://dx.doi.org/10.1093/ofid/ofz360.481 |
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