ReviewFood and chemical toxicology : an international journal published for the British Industrial Biological Research Association2017
Transcriptomics in toxicology.
Review in Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
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
38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Influence of genetic biomarkers on cardiac diseases in childhood cancer survivors: a systematic review.The pharmacogenomics journal · 2025Pooled it
- Systematic Review of Multi-Omics Approaches to Investigate Toxicological Effects in Macrophages.International journal of molecular sciences · 2020Pooled it
- Derivation of guidance values under the EU Drinking Water Directive : the case study of trifluoroacetic acid.Archives of toxicology · 2026Review
- Tissue-specific molecular responses to salinomycin and their modulation by ionophore-antibiotic interactions in turkeys.Poultry science · 2026Article
- Transcriptomic Insights into Micro- and Nanoplastic Toxicity in Zebrafish: A Narrative Review.Toxics · 2026Review
- Transcriptomic biomarkers related to cardiac disease in childhood cancer survivors: a case-control study.European heart journal · 2026Article
- Computational integration of in vivo single cell and in vitro bulk transcriptomics across 236 human and mouse datasets differentiates physiological versus non-physiological hepatic cell lines for hepatotoxicity screening.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Materiobiology in the omics era.Materials today. Bio · 2025Review
- Navigating complexity in modern toxicology: the role of omics in short-term in vivo studies.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- Characterization of the effects of oxymatrine on myocardial hypertrophy in spontaneously hypertensive rats through transcriptomics and metabolomics.Scientific reports · 2025Article
- Comparative transcriptomics of salinomycin molecular toxicity in chicken and turkey.Scientific reports · 2025Article
- Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Review
- Peroxiredoxin 4 Ameliorates T-2 Toxin-Induced Growth Retardation in GH3 Cells by Inhibiting Oxidative Stress and Apoptosis.Molecules (Basel, Switzerland) · 2024Article
- Time-course characterization of whole-transcriptome dynamics of HepG2/C3A spheroids and its toxicological implications.Toxicology letters · 2024Article
- Pathological observation and transcriptomic analysis of thymus injury in PRRSV-infected piglets.Veterinary research communications · 2023Article
- Identification of a Gene Signature Predicting (Nano)Particle-Induced Adverse Lung Outcome in Rats.International journal of molecular sciences · 2023Article
- New approach methodologies: A quantitative in vitro to in vivo extrapolation case study with PFASs.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023Article
- The assessment of the potential hepatotoxicity of new drugs byFrontiers in pharmacology · 2023Review
- 3' RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism.Frontiers in bioinformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Xenobiotics, of which many are toxic, may enter the human body through multiple routes. Excessive human exposure to xenobiotics may exceed the body's capacity to defend against the xenobiotic-induced toxicity and result in potentially fatal adverse health effects. Prevention of the adverse health effects, potentially associated with human exposure to the xenobiotics, may be achieved by detecting the toxic effects at an early, reversible and, therefore, preventable stage. Additionally, an understanding of the molecular mechanisms underlying the toxicity may be helpful in preventing and/or managing the ensuing adverse health effects. Human exposures to a large number of xenobiotics are associated with hepatotoxicity or pulmonary toxicity. Global gene expression changes taking place in biological systems, in response to exposure to xenobiotics, may represent the early and mechanistically relevant cellular events contributing to the onset and progression of xenobiotic-induced adverse health outcomes. Hepatotoxicity and pulmonary toxicity resulting from exposure to xenobiotics are discussed as specific examples to demonstrate the potential application of transcriptomics or global gene expression analysis in the prevention of adverse health effects associated with exposure to xenobiotics.
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.