ArticleVirology2016
Viral genome imaging of hepatitis C virus to probe heterogeneous viral infection and responses to antiviral therapies.
Article in Virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 19 citations in OpenAlex.
- Visualizing infection by single positive-sense RNA viruses using virus infection real-time imaging (VIRIM).Nature protocols · 2026Review
- Article
- Probing the spatiotemporal patterns of HBV multiplication reveals novel features of its subcellular processes.PLoS pathogens · 2021Article
- Optical technologies for the detection of viruses like COVID-19: Progress and prospects.Biosensors & bioelectronics · 2021Review
- Quantitative measurements of early alphaviral replication dynamics in single cells reveals the basis for superinfection exclusion.Cell systems · 2021Article
- Article
- RNA-Binding Motif Protein 24 (RBM24) Is Involved in Pregenomic RNA Packaging by Mediating Interaction between Hepatitis B Virus Polymerase and the Epsilon Element.Journal of virology · 2019Article
- Visualisation and analysis of hepatitis C virus non-structural proteins using super-resolution microscopy.Scientific reports · 2018Article
- Single-molecule fluorescence imaging: Generating insights into molecular interactions in virology.Journal of biosciences · 2018Review
- Concepts in Light Microscopy of Viruses.Viruses · 2018Review
- Engineered Livers for Infectious Diseases.Cellular and molecular gastroenterology and hepatology · 2018Review
- Establishment of a fluorescent in situ hybridization assay for imaging hepatitis B virus nucleic acids in cell culture models.Emerging microbes & infections · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
Hepatitis C virus (HCV) is a positive single-stranded RNA virus of enormous global health importance, with direct-acting antiviral therapies replacing an immunostimulatory interferon-based regimen. The dynamics of HCV positive and negative-strand viral RNAs (vRNAs) under antiviral perturbations have not been studied at the single-cell level, leaving a gap in our understanding of antiviral kinetics and host-virus interactions. Here, we demonstrate quantitative imaging of HCV genomes in multiple infection models, and multiplexing of positive and negative strand vRNAs and host antiviral RNAs. We capture the varying kinetics with which antiviral drugs with different mechanisms of action clear HCV infection, finding the NS5A inhibitor daclatasvir to induce a rapid decline in negative-strand viral RNAs. We also find that the induction of host antiviral genes upon interferon treatment is positively correlated with viral load in single cells. This study adds smFISH to the toolbox available for analyzing the treatment of RNA virus infections.
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.