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Updated: Jul 21, 2025

Ex Vivo Infection of Murine Epidermis with Herpes Simplex Virus Type 1
Published on: August 24, 2015
Cellular state landscape and herpes simplex virus type 1 infection progression are connected
Maija K Pietilä1, Jana J Bachmann2, Janne Ravantti3
1Institute of Virology, University of Zurich, Zurich, Switzerland. maija.pietilae@uzh.ch.
Understanding cell variability is key to predicting and treating virus infections. This study reveals how single-cell responses to herpes simplex virus type 1 (HSV-1) infection predict disease outcomes and identify new antiviral targets.
Area of Science:
- Virology
- Cell Biology
- Immunology
Background:
- Cell-to-cell variability influences heterogeneous disease outcomes in virus infections.
- The sources of this heterogeneity remain unclear, hindering effective prediction, prevention, and treatment strategies.
Purpose of the Study:
- To investigate the multimodal response of single human cells to herpes simplex virus type 1 (HSV-1) infection.
- To map high-dimensional viral and cellular state spaces during infection to understand heterogeneity.
Main Methods:
- Utilized multiplexed imaging and quantitative single-cell measurements of viral and cellular mRNAs and proteins.
- Mapped high-dimensional cellular and viral state spaces throughout HSV-1 infection progression.
Main Results:
- High-dimensional cellular state landscapes predict heterogeneous infection outcomes.
- Cells transition through distinct states correlating with infection progression and spatial proximity.
- HSV-1 infection alters cellular signaling, transcriptional activity, and processing bodies.
Conclusions:
- Single-cell, multiplexed quantification of cellular responses predicts infection dynamics.
- Identified potential new targets for antiviral therapies by analyzing cellular state changes during HSV-1 infection.
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