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Single-cell transcriptional dynamics of flavivirus infection

View ORCID ProfileFabio Zanini, Szu-Yuan Pu, Elena Bekerman, Shirit Einav, View ORCID ProfileStephen R. Quake
doi: https://doi.org/10.1101/203331
Fabio Zanini
1Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
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Szu-Yuan Pu
2Department of Medicine (Division of Infectious Diseases) and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Elena Bekerman
2Department of Medicine (Division of Infectious Diseases) and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Shirit Einav
2Department of Medicine (Division of Infectious Diseases) and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Stephen R. Quake
1Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
3Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA
4Chan Zuckerberg Biohub, 499 Illinois St, San Francisco, CA 94158, USA
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  • For correspondence: quake@stanford.edu
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ABSTRACT

Dengue and Zika viral infections affect millions of people annually and can be complicated by hemorrhage or neurological manifestations, respectively. However, a thorough understanding of the host response to these viruses is lacking, partly because conventional approaches ignore heterogeneity in virus abundance across cells. We present viscRNA-Seq (virus-inclusive single cell RNA-Seq), an approach to probe the host transcriptome together with intracellular viral RNA at the single cell level. We applied viscRNA-Seq to monitor dengue and Zika virus infection in cultured cells and discovered extreme heterogeneity in virus abundance. We exploited this variation to identify host factors that show complex dynamics and a high degree of specificity for either virus, including proteins involved in the endoplasmic reticulum translocon, signal peptide processing, and membrane trafficking. We validated the viscRNA-Seq hits and discovered novel proviral and antiviral factors. viscRNA-Seq is a powerful approach to assess the genome-wide virus-host dynamics at single cell level.

Footnotes

  • ↵* co-first author

  • ↵** co-senior author

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 18, 2018.
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Single-cell transcriptional dynamics of flavivirus infection
Fabio Zanini, Szu-Yuan Pu, Elena Bekerman, Shirit Einav, Stephen R. Quake
bioRxiv 203331; doi: https://doi.org/10.1101/203331
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Single-cell transcriptional dynamics of flavivirus infection
Fabio Zanini, Szu-Yuan Pu, Elena Bekerman, Shirit Einav, Stephen R. Quake
bioRxiv 203331; doi: https://doi.org/10.1101/203331

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