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Extreme heterogeneity of influenza virus infection in single cells.

ABSTRACT: Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription - viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells.

SUBMITTER: Russell AB

PROVIDER: S-EPMC5826275 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Extreme heterogeneity of influenza virus infection in single cells.

Russell Alistair B AB Trapnell Cole C Bloom Jesse D JD

eLife 20180216

Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription - viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some in ...[more]

PMID: 29451492

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Extreme heterogeneity of influenza virus infection in single cells

Project description:Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in production of viral gene transcripts -- viral transcripts compose less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, and this gene absence partially explains variation in viral transcriptional load. Despite variation in total viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells.

2017-12-14 | GSE108041 | GEO

Extreme heterogeneity of influenza virus infection in single cells

Project description:Extreme heterogeneity of influenza virus infection in single cells

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Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection.

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Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection

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Project description:During early viral infection, activation of natural killer (NK) cells elicits the effector functions of target cell lysis and cytokine production. However, the cellular and molecular mechanisms leading to NK cell activation during viral infections are incompletely understood. In this study, using a model of acute viral infection, we investigated the mechanisms controlling cytotoxic activity and cytokine production in response to influenza (flu) virus. Analysis of cytokine receptor deficient mice demonstrated that type I interferons (IFNs), but not IL-12 or IL-18, were critical for the NK cell expression of both IFN-γ and granzyme B in response to flu infection. Further, adoptive transfer experiments revealed that NK cell activation was mediated by type I IFNs acting directly on NK cells. Analysis of signal transduction molecules showed that during flu infection, STAT1 activation in NK cells was completely dependent on direct type I IFN signaling, whereas STAT4 activation was only partially dependent. In addition, granzyme B induction in NK cells was mediated by signaling primarily through STAT1, but not STAT4, while IFN-γ production was mediated by signaling through STAT4, but not STAT1. Therefore, our findings demonstrate the importance of direct action of type I IFNs on NK cells to mount effective NK cell responses in the context of flu infection and delineate NK cell signaling pathways responsible for controlling cytotoxic activity and cytokine production.

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Single cell RNA-seq of hemagglutinin specific B cells after influenza virus infection: VDJ data

Project description:Understanding dynamics of antigen specific B cell responses and link between BCR and B cell differentiation is crucial for our ability to direct immune responses and to generate memory and plasma cells responses to protective targets. Here we have infected mice with IAV-PR8 and sacrificed them at different days after infection (7-14-28). 2 naive mice were used as controls (spleen and lungs). From individual spleen, lungs and mediastinal lymph nodes we have sorted Hemagglutinin (HA)-specific IgD- B cells and single cell sequenced RNA and BCR. We identify several known and novel B cell subpopulations forming after infection and find organ-specific difference that persist over the course of the response. We found important transcriptional differences between memory cells in lungs and immune organs and describe organ-restricted clonal expansion. Strikingly, by combining BCR mutational analysis, monoclonal antibody expression and affinity measurements we found no differences between germinal center (GC)-derived memory and plasma cells, at odds with an affinity-based selection model. These finding provide the most comprehensive picture to date of organ specific antiviral B cell responses, differentiation, clonal-proliferation and dynamics.

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