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 MoreDespite 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 PlutoEnhance 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 MoreUse 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 analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team