ArticlePloS one2015
Plaque2.0-A High-Throughput Analysis Framework to Score Virus-Cell Transmission and Clonal Cell Expansion.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- Evolution of the PRNT: Merging tradition and innovation to set the gold standard in the era of automation.Human vaccines & immunotherapeutics · 2025Review
- PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays.Scientific reports · 2025Article
- Clicking viruses-with chemistry toward mechanisms in infection.Journal of virology · 2025Review
- A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy.Scientific data · 2025Article
- A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning.Scientific data · 2025Article
- Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model.Communications engineering · 2024Article
- FGF receptor kinase inhibitors exhibit broad antiviral activity by targeting Src family kinases.Cellular and molecular life sciences : CMLS · 2024Article
- Article
- Single-cell analysis of VACV infection reveals pathogen-driven timing of early and late phases and host-limited dynamics of virus production.PLoS pathogens · 2024Article
- A versatile automated pipeline for quantifying virus infectivity by label-free light microscopy and artificial intelligence.Nature communications · 2024Article
- High-content, arrayed compound screens with rhinovirus, influenza A virus and herpes simplex virus infections.Scientific data · 2022Article
- Silver nanotriangle array based LSPR sensor for rapid coronavirus detection.Sensors and actuators. B, Chemical · 2022Article
- Development of optimized drug-like small molecule inhibitors of the SARS-CoV-2 3CL protease for treatment of COVID-19.Nature communications · 2022Article
- Identification of broad anti-coronavirus chemical agents for repurposing against SARS-CoV-2 and variants of concern.Current research in virological science · 2022Article
- Antibodies against thyroid-stimulating hormone receptor cause maternal-neonatal transmission of Graves' Disease.Experimental and therapeutic medicine · 2021Article
- Virus Infection Variability by Single-Cell Profiling.Viruses · 2021Review
- Microscopy deep learning predicts virus infections and reveals mechanics of lytic-infected cells.iScience · 2021Article
- A Fluorescent Real-Time Plaque Assay Enables Single-Cell Analysis of Virus-Induced Cytopathic Effect by Live-Cell Imaging.Viruses · 2021Article
- Human virus detection with graphene-based materials.Biosensors & bioelectronics · 2020Review
- The FDA-Approved Drug Nelfinavir Inhibits Lytic Cell-Free but Not Cell-Associated Nonlytic Transmission of Human Adenovirus.Antimicrobial agents and chemotherapy · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Classical plaque assay measures the propagation of infectious agents across a monolayer of cells. It is dependent on cell lysis, and limited by user-specific settings and low throughput. Here, we developed Plaque2.0, a broadly applicable, fluorescence microscopy-based high-throughput method to mine patho-biological clonal cell features. Plaque2.0 is an open source framework to extract information from chemically fixed cells by immuno-histochemistry or RNA in situ hybridization, or from live cells expressing GFP transgene. Multi-parametric measurements include infection density, intensity, area, shape or location information at single plaque or population levels. Plaque2.0 distinguishes lytic and non-lytic spread of a variety of DNA and RNA viruses, including vaccinia virus, adenovirus and rhinovirus, and can be used to visualize simultaneous plaque formation from co-infecting viruses. Plaque2.0 also analyzes clonal growth of cancer cells, which is relevant for cell migration and metastatic invasion studies. Plaque2.0 is suitable to quantitatively analyze virus infections, vector properties, or cancer cell phenotypes.
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.