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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...

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Autores principales: Thielen, Beth Kristine, Christensen, Jaime, K. Strain, Anna, Shen, Steven, Langlois, Ryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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