ArticleArchives of toxicology2016
Identification of transcriptome signatures and biomarkers specific for potential developmental toxicants inhibiting human neural crest cell migration.
Article in Archives of toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 46 citations in OpenAlex.
- Challenges and solutions in transitioning to animal-free standards: a comprehensive analysis of components in human cell-based developmental neurotoxicity assays.Frontiers in toxicology · 2026Review
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- Update of the risk assessment of polybrominated diphenyl ethers (PBDEs) in food.EFSA journal. European Food Safety Authority · 2024Article
- Definition of the Neurotoxicity-Associated Metabolic Signature Triggered by Berberine and Other Respiratory Chain Inhibitors.Antioxidants (Basel, Switzerland) · 2023Article
- Capturing time-dependent activation of genes and stress-response pathways using transcriptomics in iPSC-derived renal proximal tubule cells.Cell biology and toxicology · 2023Article
- BDE-47 Induces Immunotoxicity in RAW264.7 Macrophages through the Reactive Oxygen Species-Mediated Mitochondrial Apoptotic Pathway.Molecules (Basel, Switzerland) · 2023Article
- Article
- Optimization of the TeraTox Assay for Preclinical Teratogenicity Assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Classification of Developmental Toxicants in a Human iPSC Transcriptomics-Based Test.Chemical research in toxicology · 2022Article
- Genetic and Epigenetic Alterations Induced by Pesticide Exposure: Integrated Analysis of Gene Expression, microRNA Expression, and DNA Methylation Datasets.International journal of environmental research and public health · 2021Article
- The EU-ToxRisk method documentation, data processing and chemical testing pipeline for the regulatory use of new approach methods.Archives of toxicology · 2020Article
- Impact of prenatal arsenate exposure on gene expression in a pure population of migratory cranial neural crest cells.Reproductive toxicology (Elmsford, N.Y.) · 2019Article
- Ensemble of rankers for efficient gene signature extraction in smoke exposure classification.BMC bioinformatics · 2018Article
- Article
- Highlight report: Cell type selection for toxicity testing.EXCLI journal · 2018Article
- Fibronectin is a stress responsive gene regulated by HSF1 in response to geldanamycin.Scientific reports · 2017Article
- Combination of multiple neural crest migration assays to identify environmental toxicants from a proof-of-concept chemical library.Archives of toxicology · 2017Article
- Impairment of human neural crest cell migration by prolonged exposure to interferon-beta.Archives of toxicology · 2017Article
- Article
- Highlight report: Launch of a large integrated European in vitro toxicology project: EU-ToxRisk.Archives of toxicology · 2016Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The in vitro test battery of the European research consortium ESNATS ('novel stem cell-based test systems') has been used to screen for potential human developmental toxicants. As part of this effort, the migration of neural crest (MINC) assay has been used to evaluate chemical effects on neural crest function. It identified some drug-like compounds in addition to known environmental toxicants. The hits included the HSP90 inhibitor geldanamycin, the chemotherapeutic arsenic trioxide, the flame-retardant PBDE-99, the pesticide triadimefon and the histone deacetylase inhibitors valproic acid and trichostatin A. Transcriptome changes triggered by these substances in human neural crest cells were recorded and analysed here to answer three questions: (1) can toxicants be individually identified based on their transcript profile; (2) how can the toxicity pattern reflected by transcript changes be compacted/dimensionality-reduced for practical regulatory use; (3) how can a reduced set of biomarkers be selected for large-scale follow-up? Transcript profiling allowed clear separation of different toxicants and the identification of toxicant types in a blinded test study. We also developed a diagrammatic system to visualize and compare toxicity patterns of a group of chemicals by giving a quantitative overview of altered superordinate biological processes (e.g. activation of KEGG pathways or overrepresentation of gene ontology terms). The transcript data were mined for potential markers of toxicity, and 39 transcripts were selected to either indicate general developmental toxicity or distinguish compounds with different modes-of-action in read-across. In summary, we found inclusion of transcriptome data to largely increase the information from the MINC phenotypic test.
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Registered trials
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