Evidence map›Paper›PMID 38408751›Full record

ArticleChemical research in toxicology2024

Unlocking the Power of Transcriptomic Biomarkers in Qualitative and Quantitative Genotoxicity Assessment of Chemicals.

Anouck Thienpont, Eunnara Cho, Andrew Williams, Matthew J Meier, Carole L Yauk, Vera Rogiers, Tamara Vanhaecke, Birgit Mertens

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Advancing genotoxicity assessment with transcriptomic biomarkers: from 2D to 3D HepaRG spheroid models.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. TGx-DDI (toxicogenomic DNA damage-inducing) biomarker validation: multi-site ring trial supporting regulatory use.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Article
  7. Article
  8. Review
  9. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
  10. HepaRGNAM journal · 2025
    Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anouck ThienpontDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.ORCID 0000-0001-8231-8271
Eunnara ChoEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
Andrew WilliamsEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
Matthew J MeierEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, ON K1A 0K9, Canada.
Carole L YaukDepartment of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Vera RogiersDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.
Tamara VanhaeckeDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium.
Birgit MertensDepartment of Chemical and Physical Health Risks, Sciensano, 1050 Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To modernize genotoxicity assessment and reduce reliance on experimental animals, new approach methodologies (NAMs) that provide human-relevant dose-response data are needed. Two transcriptomic biomarkers, GENOMARK and TGx-DDI, have shown a high classification accuracy for genotoxicity. As these biomarkers were extracted from different training sets, we investigated whether combining the two biomarkers in a human-derived metabolically competent cell line (i.e., HepaRG) provides complementary information for the classification of genotoxic hazard identification and potency ranking. First, the applicability of GENOMARK to TempO-Seq, a high-throughput transcriptomic technology, was evaluated. HepaRG cells were exposed for 72 h to increasing concentrations of 10 chemicals (i.e., eight known

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsBiomarkersCell LineDNA DamageHumansBiomarkers

Identifiers

PMID38408751
PMCPMC10952014

What OpenQuestion holds

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Registered trials

None linked

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.