Published May 15, 2019 | Version v1
Journal article Open

HSV-1 single-cell analysis reveals the activation of anti-viral and developmental programs in distinct sub-populations

  • 1. University of Chicago

Description

Viral infection is usually studied at the population level by averaging over millions of cells. However, infection at the single-cell level is highly heterogeneous, with most infected cells giving rise to no or few viral progeny while some cells produce thousands. Analysis of Herpes Simplex virus 1 (HSV-1) infection by population-averaged measurements has taught us a lot about the course of viral infection, but has also produced contradictory results, such as the concurrent activation and inhibition of type I interferon signaling during infection. Here, we combine live-cell imaging and single-cell RNA sequencing to characterize viral and host transcriptional heterogeneity during HSV-1 infection of primary human cells. We find extreme variability in the level of viral gene expression among individually infected cells and show that these cells cluster into transcriptionally distinct sub-populations. We find that anti-viral signaling is initiated in a rare group of abortively infected cells, while highly infected cells undergo cellular reprogramming to an embryonic-like transcriptional state. This reprogramming involves the recruitment of β-catenin to the host nucleus and viral replication compartments, and is required for late viral gene expression and progeny production. These findings uncover the transcriptional differences in cells with variable infection outcomes and shed new light on the manipulation of host pathways by HSV-1.

Data availability

All sequencing data has been deposited in the Gene Expression Omnibus (GEO) under accession number GSE126042. All the scripts used for data analysis and visualization are available through GitHub at: https://github.com/nirdrayman/single-cell-RNAseq-HSV1.git (copy archived at https://github.com/elifesciences-publications/single-cell-RNAseq-HSV1).

The following data sets were generated:

Drayman N Patel P Vistain L Tay S (2019) NCBI Gene Expression Omnibus ID GSE126042. Single cell analysis of HSV-1 infection reveals anti-viral and developmental programs are activated in distinct sub-populations with opposite outcomes. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE126042

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Additional details

Identifiers

DOI
10.7554/eLife.46339
Other
oai:uchicago.tind.io:10022

Funding

Human Frontier Science Program
post-doctoral fellowship

UChicago Information

Division(s)
Biological Sciences Division, Pritzker School of Molecular Engineering
Department(s)
Genetics, Genomics, and Systems Biology
Center(s) or Institute(s)
Institute for Genomics and Systems Biology