tetano
Editor, Senior Moderator
Front Immunol
. 2022 Oct 4;13:978824.
doi: 10.3389/fimmu.2022.978824. eCollection 2022.
Comprehensive single cell analysis of pandemic influenza A virus infection in the human airways uncovers cell-type specific host transcriptional signatures relevant for disease progression and pathogenesis
Jenna N Kelly[SUP] 1 2 3 [/SUP], Laura Laloli[SUP] 1 2 4 5 [/SUP], Philip V'kovski[SUP] 1 2 [/SUP], Melle Holwerda[SUP] 1 2 4 5 [/SUP], Jasmine Portmann[SUP] 1 2 [/SUP], Volker Thiel[SUP] 1 2 3 6 [/SUP], Ronald Dijkman[SUP] 1 2 3 5 6 [/SUP]
Affiliations
Abstract
The respiratory epithelium constitutes the first line of defense against invading respiratory pathogens, such as the 2009 pandemic strain of influenza A virus (IAV, H1N1pdm09), and plays a crucial role in the host antiviral response to infection. Despite its importance, however, it remains unknown how individual cell types within the respiratory epithelium respond to IAV infection or how the latter may influence IAV disease progression and pathogenesis. Here, we used single cell RNA sequencing (scRNA-seq) to dissect the host response to IAV infection in its natural target cells. scRNA-seq was performed on human airway epithelial cell (hAEC) cultures infected with either wild-type pandemic IAV (WT) or with a mutant version of IAV (NS1[SUB]R38A[/SUB]) that induced a robust innate immune response. We then characterized both the host and viral transcriptomes of more than 19,000 single cells across the 5 major cell types populating the human respiratory epithelium. For all cell types, we observed a wide spectrum of viral burden among single infected cells and a disparate host response between infected and bystander populations. Interestingly, we also identified multiple key differences in the host response to IAV among individual cell types, including high levels of pro-inflammatory cytokines and chemokines in secretory and basal cells and an important role for luminal cells in sensing and restricting incoming virus. Multiple infected cell types were shown to upregulate interferons (IFN), with type III IFNs clearly dominating the antiviral response. Transcriptional changes in genes related to cell differentiation, cell migration, and tissue repair were also identified. Strikingly, we also detected a shift in viral host cell tropism from non-ciliated cells to ciliated cells at later stages of infection and observed major changes in the cellular composition. Microscopic analysis of both WT and NS1[SUB]R38A[/SUB] virus-infected hAECs at various stages of IAV infection revealed that the transcriptional changes we observed at 18 hpi were likely driving the downstream histopathological alterations in the airway epithelium. To our knowledge, this is the first study to provide a comprehensive analysis of the cell type-specific host antiviral response to influenza virus infection in its natural target cells - namely, the human respiratory epithelium.
Keywords: human airway epithelium; influenza viruses; innate immunity; single cell analysis; virus-host interactions.
. 2022 Oct 4;13:978824.
doi: 10.3389/fimmu.2022.978824. eCollection 2022.
Comprehensive single cell analysis of pandemic influenza A virus infection in the human airways uncovers cell-type specific host transcriptional signatures relevant for disease progression and pathogenesis
Jenna N Kelly[SUP] 1 2 3 [/SUP], Laura Laloli[SUP] 1 2 4 5 [/SUP], Philip V'kovski[SUP] 1 2 [/SUP], Melle Holwerda[SUP] 1 2 4 5 [/SUP], Jasmine Portmann[SUP] 1 2 [/SUP], Volker Thiel[SUP] 1 2 3 6 [/SUP], Ronald Dijkman[SUP] 1 2 3 5 6 [/SUP]
Affiliations
- PMID: 36268025
- PMCID: PMC9576848
- DOI: 10.3389/fimmu.2022.978824
Abstract
The respiratory epithelium constitutes the first line of defense against invading respiratory pathogens, such as the 2009 pandemic strain of influenza A virus (IAV, H1N1pdm09), and plays a crucial role in the host antiviral response to infection. Despite its importance, however, it remains unknown how individual cell types within the respiratory epithelium respond to IAV infection or how the latter may influence IAV disease progression and pathogenesis. Here, we used single cell RNA sequencing (scRNA-seq) to dissect the host response to IAV infection in its natural target cells. scRNA-seq was performed on human airway epithelial cell (hAEC) cultures infected with either wild-type pandemic IAV (WT) or with a mutant version of IAV (NS1[SUB]R38A[/SUB]) that induced a robust innate immune response. We then characterized both the host and viral transcriptomes of more than 19,000 single cells across the 5 major cell types populating the human respiratory epithelium. For all cell types, we observed a wide spectrum of viral burden among single infected cells and a disparate host response between infected and bystander populations. Interestingly, we also identified multiple key differences in the host response to IAV among individual cell types, including high levels of pro-inflammatory cytokines and chemokines in secretory and basal cells and an important role for luminal cells in sensing and restricting incoming virus. Multiple infected cell types were shown to upregulate interferons (IFN), with type III IFNs clearly dominating the antiviral response. Transcriptional changes in genes related to cell differentiation, cell migration, and tissue repair were also identified. Strikingly, we also detected a shift in viral host cell tropism from non-ciliated cells to ciliated cells at later stages of infection and observed major changes in the cellular composition. Microscopic analysis of both WT and NS1[SUB]R38A[/SUB] virus-infected hAECs at various stages of IAV infection revealed that the transcriptional changes we observed at 18 hpi were likely driving the downstream histopathological alterations in the airway epithelium. To our knowledge, this is the first study to provide a comprehensive analysis of the cell type-specific host antiviral response to influenza virus infection in its natural target cells - namely, the human respiratory epithelium.
Keywords: human airway epithelium; influenza viruses; innate immunity; single cell analysis; virus-host interactions.