ReviewFrontiers in cellular and infection microbiology2021
Imaging Flow Cytometry and Confocal Immunofluorescence Microscopy of Virus-Host Cell Interactions.
Review in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Label-free quantification of early virus-induced cellular responses by digital holographic tomography.mSphere · 2026Article
- HIV Virion Capturing Liposomes for Therapeutic Vaccination.bioRxiv : the preprint server for biology · 2025Article
- Spatial microfluidic holographic integrated platform for label-free and high-dimensional analysis of cancer heterogeneity.Nature communications · 2025Article
- Imaging flow cytometry reveals the mechanism of equine arteritis virus entry and internalization.Scientific reports · 2025Article
- Epigenetic Regulation of Nuclear Factor Erythroid-2-Related Factor 2 in Colorectal Cancer Cells Resistant to Ionizing Radiation.Biomolecules & therapeutics · 2025Article
- Investigating the Impact of Host Factors on Vaccinia Virus Infection Through Single-Cell Analysis via Flow Cytometry.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Recent advances in microfluidic-based spectroscopic approaches for pathogen detection.Biomicrofluidics · 2024Review
- Imaging Flow Cytometry: Development, Present Applications, and Future Challenges.Methods and protocols · 2024Review
- Intravital Microscopy for Imaging and Live Cell Tracking of Alveolar Macrophages in Real Time.Methods in molecular biology (Clifton, N.J.) · 2024Article
- 3D Cryo-Correlative Methods to Study Virus Structure and Dynamics Within Cells.Sub-cellular biochemistry · 2024Review
- Single-Particle Tracking of Virus Entry in Live Cells.Sub-cellular biochemistry · 2023Review
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- RNA-Protein Assemblies: A Review of Biophysical Principles and Coarse-Grained Modeling Approaches.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Viruses are diverse pathogens that use host factors to enter cells and cause disease. Imaging the entry and replication phases of viruses and their interactions with host factors is key to fully understanding viral infections. This review will discuss how confocal microscopy and imaging flow cytometry are used to investigate virus entry and replication mechanisms in fixed and live cells. Quantification of viral images and the use of cryo-electron microscopy to gather structural information of viruses is also explored. Using imaging to understand how viruses replicate and interact with host factors, we gain insight into cellular processes and identify novel targets to develop antiviral therapeutics and vaccines.
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.