ArticleeLife2018
Single-cell transcriptional dynamics of flavivirus infection.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
101 citing papers in PubMed, 177 citations in OpenAlex.
- Visualizing infection by single positive-sense RNA viruses using virus infection real-time imaging (VIRIM).Nature protocols · 2026Review
- Integrative modelling of innate immune response dynamics during virus infection.PLoS computational biology · 2026Article
- Dissecting the host determinants of orthoflavivirus infection using QIC-seq.PLoS pathogens · 2026Article
- From CRISPR functional genomics to synthetic interventions: engineering antiviral strategies.Journal of virology · 2026Review
- Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics.Nature biotechnology · 2026Article
- Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026Review
- Single-cell transcriptomic analyses of HSV-1 reactivation from latently infected tree shrew and mouse trigeminal ganglia reveal differing molecular and cellular processes.Virologica Sinica · 2026Article
- Intrinsic OASL expression governs heterogeneity in interferon induction during influenza A virus infection.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Systems Virology at Scale.Current opinion in systems biology · 2025Article
- Flaviviridae RdRp exploits NSUN2-driven m5C methylation to establish persistent infection.PLoS pathogens · 2025Article
- A novel ZIKV-targeted scRNA-seq method for precise quantification of ZIKV RNA.Journal of virology · 2025Article
- Scalable single-cell total RNA-seq reveals non-coding programs in immunity, infection, and brain development.Research square · 2025Article
- Integration of hyperspectral imaging and transcriptomics from individual cells with SpectralSeq.Genome research · 2025Article
- PIP4K2C inhibition reverses autophagic flux impairment induced by SARS-CoV-2.Nature communications · 2025Article
- Exposure of negative-sense viral RNA in the cytoplasm initiates innate immunity to West Nile virus.Molecular cell · 2025Article
- Conventional and antibody-enhanced DENV infection of human macrophages induces differential immunotranscriptomic profiles.Journal of virology · 2025Article
- Review
- Dengue virus preferentially uses human and mosquito non-optimal codons.Molecular systems biology · 2024Article
- Machine learning-based gene expression biomarkers to distinguish Zika and Dengue virus infections: implications for diagnosis.Virusdisease · 2024Article
- Unraveling flavivirus pathogenesis: from bulk to single-cell RNA-sequencing strategies.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024Review
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Dengue and Zika viral infections affect millions of people annually and can be complicated by hemorrhage and shock 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.