Extreme heterogeneity of influenza virus infection in single cells
Updated September 15, 2022Viral 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.
To reference this project, please use the following link:
Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.
For information regarding data sharing and data use, please see our Data Access Policy.
Analysis Portals
NoneProject Label
InfluenzaVirusInfectionSingleCellsSpecies
Sample Type
Anatomical Entity
Organ Part
Selected Cell Types
Model Organ
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
Library Construction Method
Nucleic Acid Source
Paired End
falseAnalysis Protocol
analysis_protocol_1File Format
Cell Count Estimate
15.0kDonor Count
0