ArticleScientific data2021
Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure-Activity Relationship of Carbon Materials with Different Morphologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Pooled it
- An ancestral molecular response to nanomaterial particulates.Nature nanotechnology · 2023Pooled it
- AOP-Based Analysis of Curated Transcriptomic Data Reveals a Context-Dependent Core Mechanism of PFAS-Induced Liver Steatosis.Environmental science & technology · 2026Article
- Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials.Environmental science & technology · 2025Article
- CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials.Computational and structural biotechnology journal · 2025Article
- Towards characterization of cell culture conditions for reliable proteomic analysis: in vitro studies on A549, differentiated THP-1, and NR8383 cell lines.Archives of toxicology · 2024Article
- ESPERANTO: a GLP-field sEmi-SuPERvised toxicogenomics metadAta curatioN TOol.Bioinformatics (Oxford, England) · 2023Article
- State of the Art of Genomic Technology in Toxicology: A Review.International journal of molecular sciences · 2023Review
- PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping.Journal of cheminformatics · 2023Article
- Toxicogenomics Data for Chemical Safety Assessment and Development of New Approach Methodologies: An Adverse Outcome Pathway-Based Approach.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Nextcast: A software suite to analyse and model toxicogenomics data.Computational and structural biotechnology journal · 2022Article
- Prospects and challenges for FAIR toxicogenomics data.Nature nanotechnology · 2022Article
- Reply to: Prospects and challenges for FAIR toxicogenomics data.Nature nanotechnology · 2022Article
- Investigating the Molecular Processes behind the Cell-Specific Toxicity Response to Titanium Dioxide Nanobelts.International journal of molecular sciences · 2021Article
- Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.Scientific data · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and to develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for ENMs, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures in vitro and in vivo including the physicochemical characteristics of the ENMs used in each study.
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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.