PLX099660

GSE122031: Single-cell transcriptome of human epithelial cells reveals novel insights into early innate immune responses to influenza virus and viral antagonism

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project Host transcriptomics in influenza infection

Despite intense study, the complexity of interactions between viral and host cell mechanisms have ensured that the cellular innate immune response to influenza infection is still not well understood, especially at early time points following infection. Single cell RNA sequencing provides a new approach with which we can not only examine these early time points of cellular response, but also examine the heterogeneity of that response and more intensely examine patterns of expression that are hidden from bulk sample sequencing. As part of a larger study investigating the immune response of lung epithelial cells to influenza infection, we performed single-cell RNA expression profiling on A549 cells, a lung epithelial cell line, undergoing either a mock infection or infection by the influenza strain PR8-NS1-GFP at MOIs of 2.0 and 0.2. We measured single cell RNA expression at 4 hours and 12 hours post infection. We found a MOI-dependent negative correlation between expression of viral genes and cellular genes, suggesting an antagonist effect of the viral proteins in the innate immune response at the transcriptional level. Also, we found an unexpected early induction of some interferon inducible genes at higher levels in infected than bystander cells, consistent with autocrine activation. Finally, IFN lambda 1 showed broad expression among infected and bystander cells, indicating a possible paracrine component to induction.hile the cellular innate immune response to influenza infection has been studied intensely, there are still many unanswered questions, especially relating to the early SOURCE: Gregory,Robert,Smith (gsmith990306@gmail.com) - Dr. Sealfon Mount Sinai Hospital

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team