ArticleViruses2018
A Fluorescent Cell-Based System for Imaging Zika Virus Infection in Real-Time.
Article in Viruses, 2018. 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
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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, 22 citations in OpenAlex.
- Fluorescence-based biosensors for West Nile virus detection.Virulence · 2025Article
- Review
- Reporter-expressing viruses for antiviral drug discovery research.Frontiers in cellular and infection microbiology · 2025Review
- RNA-responsive elements for eukaryotic translational control.Nature biotechnology · 2022Article
- Dual-fluorescent reporter for live-cell imaging of the ER during DENV infection.Frontiers in cellular and infection microbiology · 2022Article
- Generation and Implementation of Reporter BHK-21 Cells for Live Imaging of Flavivirus Infection.Bio-protocol · 2021Article
- A Versatile Reporter System To Monitor Virus-Infected Cells and Its Application to Dengue Virus and SARS-CoV-2.Journal of virology · 2021Article
- The Dual Regulation of Apoptosis by Flavivirus.Frontiers in microbiology · 2021Review
- Cell Cultures for Virology: Usability, Advantages, and Prospects.International journal of molecular sciences · 2020Review
- Imaging-Based Reporter Systems to Define CVB-Induced Membrane Remodeling in Living Cells.Viruses · 2020Article
- A fluorescence-activatable reporter of flavivirus NS2B-NS3 protease activity enables live imaging of infection in single cells and viral plaques.The Journal of biological chemistry · 2020Article
- Pathophysiology and Mechanisms of Zika Virus Infection in the Nervous System.Annual review of neuroscience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Zika virus (ZIKV) is a re-emerging flavivirus that is transmitted to humans through the bite of an infected mosquito or through sexual contact with an infected partner. ZIKV infection during pregnancy has been associated with numerous fetal abnormalities, including prenatal lethality and microcephaly. However, until recent outbreaks in the Americas, ZIKV has been relatively understudied, and therefore the biology and pathogenesis of ZIKV infection remain incompletely understood. Better methods to study ZIKV infection in live cells could enhance our understanding of the biology of ZIKV and the mechanisms by which ZIKV contributes to fetal abnormalities. To this end, we developed a fluorescent cell-based reporter system allowing for live imaging of ZIKV-infected cells. This system utilizes the protease activity of the ZIKV non-structural proteins 2B and 3 (NS2B-NS3) to specifically mark virus-infected cells. Here, we demonstrate the utility of this fluorescent reporter for identifying cells infected by ZIKV strains of two lineages. Further, we use this system to determine that apoptosis is induced in cells directly infected with ZIKV in a cell-autonomous manner. Ultimately, approaches that can directly track ZIKV-infected cells at the single cell-level have the potential to yield new insights into the host-pathogen interactions that regulate ZIKV infection and pathogenesis.
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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.