ArticleScientific reports2014
Profiling of the Tox21 10K compound library for agonists and antagonists of the estrogen receptor alpha signaling pathway.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 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.
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Who cites it
92 citing papers in PubMed, 168 citations in OpenAlex.
- DYNAMEX: A Time-Resolved Model for Predicting Distribution of Chemicals in In Vitro Cell Assays.Environmental science & technology · 2026Article
- Analysis of in vitro profiling data of cosmetic ingredients within the Tox21 10K compound library for bioactivity and potential toxicity.BMC pharmacology & toxicology · 2026Article
- Exploring the Antagonistic Effects of Bisphenols with Nonmonotonic Dose-Response Curves on the Estrogen Receptor.Environment & health (Washington, D.C.) · 2025Article
- Machine Learning and Large Language Models for Modeling Complex Toxicity Pathways and Predicting Steroidogenesis.Environmental science & technology · 2025Article
- The deleterious effect of bisphenol S on early embryo development of mice.Hormones (Athens, Greece) · 2025Article
- Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Using Reporter Gene Assays to Screen and Identify Chemical Compounds that Modulate Estrogen Receptor Activity.Current protocols · 2024Article
- Identification of Environmental Compounds That May Trigger Early Female Puberty by Activating Human GnRHR and KISS1R.Endocrinology · 2024Article
- Free and open-source QSAR-ready workflow for automated standardization of chemical structures in support of QSAR modeling.Journal of cheminformatics · 2024Article
- Article
- Comparison between endocrine activity assessed using ToxCast/Tox21 database and human plasma concentration of sunscreen active ingredients/UV filters.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- In vitro profiling of pesticides within the Tox21 10K compound library for bioactivity and potential toxicity.Toxicology and applied pharmacology · 2023Article
- Bayesian matrix completion for hypothesis testing.Journal of the Royal Statistical Society. Series C, Applied statistics · 2023Article
- Predictive Models for Human Cytochrome P450 3A7 Selective Inhibitors and Substrates.Journal of chemical information and modeling · 2023Article
- Comparison of Two Estrogen Chemically Activated Luciferase Expression Cell Bioassays to Liquid Chromatography-Mass Spectrometry for Quantifying Estrone in Water Samples.Environmental toxicology and chemistry · 2023Article
- Lestaurtinib induces DNA damage that is related to estrogen receptor activation.Current research in toxicology · 2023Article
- Identification of nonmonotonic concentration-responses in Tox21 high-throughput screening estrogen receptor assays.Toxicology and applied pharmacology · 2022Article
- Machine Learning and Artificial Intelligence in Toxicological Sciences.Toxicological sciences : an official journal of the Society of Toxicology · 2022Review
- Repurposing drugs as COVID-19 therapies: A toxicity evaluation.Drug discovery today · 2022Review
- Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology.Molecules (Basel, Switzerland) · 2022Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
22 authors at 6 institutions in 1 country.
Funding
Abstract
The U.S. Tox21 program has screened a library of approximately 10,000 (10K) environmental chemicals and drugs in three independent runs for estrogen receptor alpha (ERα) agonist and antagonist activity using two types of ER reporter gene cell lines, one with an endogenous full length ERα (ER-luc; BG1 cell line) and the other with a transfected partial receptor consisting of the ligand binding domain (ER-bla; ERα β-lactamase cell line), in a quantitative high-throughput screening (qHTS) format. The ability of the two assays to correctly identify ERα agonists and antagonists was evaluated using a set of 39 reference compounds with known ERα activity. Although both assays demonstrated adequate (i.e. >80%) predictivity, the ER-luc assay was more sensitive and the ER-bla assay more specific. The qHTS assay results were compared with results from previously published ERα binding assay data and showed >80% consistency. Actives identified from both the ER-bla and ER-luc assays were analyzed for structure-activity relationships (SARs) revealing known and potentially novel ERα active structure classes. The results demonstrate the feasibility of qHTS to identify environmental chemicals with the potential to interact with the ERα signaling pathway and the two different assay formats improve the confidence in correctly identifying these chemicals.
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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.