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Using this assay, we profiled the antiviral landscape in a population of human moDCs infected with ZIKV at the single cell level. The bystander cells, which lacked detectable viral RNA, expressed an antiviral state that was enriched for genes coinciding predominantly with a type I interferon (IFN) response. Within the infected cells, viral RNA negatively correlated with type I IFN dependent and independent genes (antiviral module). We modeled the ZIKV specific antiviral state at the protein level leveraging experimentally derived protein-interaction data. We identified a highly interconnected network between the antiviral module and other host proteins. In this work, we propose a new paradigm for evaluating the antiviral response to a specific virus, combining an unbiased list of genes that highly correlate with viral RNA on a per cell basis with experimental protein interaction data. Our ZIKV-inclusive scRNA-seq assay will serve as a useful tool to gaining greater insight into the host response to ZIKV and can be applied more broadly to the flavivirus field.<\/jats:p>","DOI":"10.1101\/2024.01.19.576293","type":"posted-content","created":{"date-parts":[[2024,1,21]],"date-time":"2024-01-21T07:15:17Z","timestamp":1705821317000},"source":"Crossref","is-referenced-by-count":0,"title":["Single cell analysis reveals an antiviral network that controls Zika virus infection in human dendritic cells"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8483-1148","authenticated-orcid":false,"given":"Kathryn 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