ArticleEnvironmental and molecular mutagenesis2017
Assessment of the DNA damaging potential of environmental chemicals using a quantitative high-throughput screening approach to measure p53 activation.
Article in Environmental and molecular mutagenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 19 citations in OpenAlex.
- Impact of Chemical Quality on High-Throughput in Vitro Assays: A Tox21 Study.Chemical research in toxicology · 2026Article
- Prediction of chemical-induced acute toxicity using in vitro assay data and chemical structure.Toxicology and applied pharmacology · 2024Article
- High-Throughput Screening to Advance In Vitro Toxicology: Accomplishments, Challenges, and Future Directions.Annual review of pharmacology and toxicology · 2024Review
- Identification of nonmonotonic concentration-responses in Tox21 high-throughput screening estrogen receptor assays.Toxicology and applied pharmacology · 2022Article
- Identification of environmental chemicals that activate p53 signaling after in vitro metabolic activation.Archives of toxicology · 2022Article
- A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Article
- Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics.Scientific reports · 2021Article
- Application of In Vitro Metabolism Activation in High-Throughput Screening.International journal of molecular sciences · 2020Review
- Genetic toxicology in silico protocol.Regulatory toxicology and pharmacology : RTP · 2019Article
- Identification of p53 Activators in a Human Microarray Compendium.Chemical research in toxicology · 2019Article
- Identifying Compounds with Genotoxicity Potential Using Tox21 High-Throughput Screening Assays.Chemical research in toxicology · 2019Article
- Bioactivity Signatures of Drugs vs. Environmental Chemicals Revealed by Tox21 High-Throughput Screening Assays.Frontiers in big data · 2019Article
- Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- Next generation high throughput DNA damage detection platform for genotoxic compound screening.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Genotoxicity potential is a critical component of any comprehensive toxicological profile. Compounds that induce DNA or chromosomal damage often activate p53, a transcription factor essential to cell cycle regulation. Thus, within the US Tox21 Program, we screened a library of ∼10,000 (∼8,300 unique) environmental compounds and drugs for activation of the p53-signaling pathway using a quantitative high-throughput screening assay employing HCT-116 cells (p53
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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.