ArticleCurrent opinion in toxicology2019
Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.
Article in Current opinion in toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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
52 citing papers in PubMed.
- A targeted lipidomics workflow for high-throughput phenotyping and mechanism-based in vitro hepatotoxicity studies.Toxicology in vitro : an international journal published in association with BIBRA · 2026Article
- Comparative transcriptomic points of departure analysis of pesticides in human Caco-2 and Hep G2 cells.NAM journal · 2026Article
- From toxicogenomics data to cumulative assessment groups: a framework for chemical grouping.Archives of toxicology · 2026Article
- The OASIS Consortium: integrating multi-omics technologies to transform chemical safety assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- The important role of standards for the uptake of transcriptomics and metabolomics based in vitro methods in regulatory toxicology.Archives of toxicology · 2025Review
- Comprehensive analysis of high-throughput transcriptomics to distinguish drug-induced liver injury (DILI) phenotypes.Archives of toxicology · 2025Review
- Cell type heterogeneity in gene co-expression networks: implications for toxicological research.Briefings in bioinformatics · 2025Review
- Transcriptomic response of an algal species (Raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances.Environmental toxicology and chemistry · 2025Article
- Progress in toxicogenomics to protect human health.Nature reviews. Genetics · 2025Review
- An advancement in developmental and reproductive toxicity (DART) risk assessment: evaluation of a bioactivity and exposure-based NAM toolbox.Frontiers in toxicology · 2025Article
- Progress, applications, and challenges in high-throughput effect-directed analysis for toxicity driver identification - is it time for HT-EDA?Analytical and bioanalytical chemistry · 2025Review
- Leveraging a comprehensive unbiased RNAseq database to characterize human monocyte-derived macrophage gene expression profiles within commonly employed in vitro polarization methods.Scientific reports · 2024Article
- Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study.International journal of molecular sciences · 2024Review
- Community-Engaged Research and the Use of Open Access ToxVal/ToxRef In Vivo Databases and New Approach Methodologies (NAM) to Address Human Health Risks From Environmental Contaminants.Birth defects research · 2024Article
- A comparison of the TempO-Seq and Affymetrix microarray platform using RTqPCR validation.BMC genomics · 2024Article
- Empirical Characterization of False Discovery Rates of Differentially Expressed Genes and Transcriptomic Benchmark Concentrations in Zebrafish Embryos.Environmental science & technology · 2024Article
- Investigating the dependency of in vitro benchmark concentrations on exposure time in transcriptomics experiments.Toxicology in vitro : an international journal published in association with BIBRA · 2024Article
- Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species.The Science of the total environment · 2024Article
- Integrating gene expression and splicing dynamics across dose-response oxidative modulators.Frontiers in genetics · 2024Article
- Development and application of consensusFrontiers in pharmacology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Recently, numerous organizations, including governmental regulatory agencies in the U.S. and abroad, have proposed using data from New Approach Methodologies (NAMs) for augmenting and increasing the pace of chemical assessments. NAMs are broadly defined as any technology, methodology, approach or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. High-throughput transcriptomics (HTTr) is a type of NAM that uses gene expression profiling as an endpoint for rapidly evaluating the effects of large numbers of chemicals on
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.