Evidence map›Paper›PMID 23179753›Full record

ArticleArchives of toxicology2013

Human embryonic stem cell-derived test systems for developmental neurotoxicity: a transcriptomics approach.

Anne K Krug, Raivo Kolde, John A Gaspar, Eugen Rempel, Nina V Balmer, Kesavan Meganathan, Kinga Vojnits, Mathurin Baquié, Tanja Waldmann, Roberto Ensenat-Waser and 28 more

Open access · hybridAbstract read
In one paragraph

Article in Archives of toxicology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
12.8field-weighted citation impact, top 1% of its field
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

84 citing papers in PubMed, 235 citations in OpenAlex.

  1. Identification of Changes in Gene Expression.Biometrical journal. Biometrische Zeitschrift · 2026
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  3. Advances in Cytotoxicity Testing: From In Vitro Assays to In Silico Models.International journal of molecular sciences · 2025
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  11. The Future of the Teratogenicity Testing.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  12. Review
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  14. Article
  15. Article
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 12 institutions in 6 countries.

Anne K KrugDepartment of Biology, University of Konstanz, 78457 Constance, Germany.
Raivo Kolde
John A Gaspar
Eugen Rempel
Nina V Balmer
Kesavan Meganathan
Kinga Vojnits
Mathurin Baquié
Tanja Waldmann
Roberto Ensenat-Waser
Smita Jagtap
Richard M Evans
Stephanie Julien
Hedi Peterson
Dimitra Zagoura
Suzanne Kadereit
Daniel Gerhard
Isaia Sotiriadou
Michael Heke
Karthick Natarajan
Margit Henry
Johannes Winkler
Rosemarie Marchan
Luc Stoppini
Sieto Bosgra
Joost Westerhout
Miriam Verwei
Jaak Vilo
Andreas Kortenkamp
Jürgen Hescheler
Ludwig Hothorn
Susanne Bremer
Christoph van Thriel
Karl-Heinz Krause
Jan G Hengstler
Jörg Rahnenführer
Marcel Leist
Agapios Sachinidis
University of Cologne · DEUniversity of Geneva · CHUniversity of Konstanz · DEDirectorate-General Joint Research Centre · BELeibniz Research Centre for Working Environment and Human Factors · DEBrunel University of London · GBLeibniz University Hannover · DENetherlands Organisation for Applied Scientific Research · NLTU Dortmund University · DEDutch Research Council · NLQuretec (Estonia) · EEUniversity of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developmental neurotoxicity (DNT) and many forms of reproductive toxicity (RT) often manifest themselves in functional deficits that are not necessarily based on cell death, but rather on minor changes relating to cell differentiation or communication. The fields of DNT/RT would greatly benefit from in vitro tests that allow the identification of toxicant-induced changes of the cellular proteostasis, or of its underlying transcriptome network. Therefore, the 'human embryonic stem cell (hESC)-derived novel alternative test systems (ESNATS)' European commission research project established RT tests based on defined differentiation protocols of hESC and their progeny. Valproic acid (VPA) and methylmercury (MeHg) were used as positive control compounds to address the following fundamental questions: (1) Does transcriptome analysis allow discrimination of the two compounds? (2) How does analysis of enriched transcription factor binding sites (TFBS) and of individual probe sets (PS) distinguish between test systems? (3) Can batch effects be controlled? (4) How many DNA microarrays are needed? (5) Is the highest non-cytotoxic concentration optimal and relevant for the study of transcriptome changes? VPA triggered vast transcriptional changes, whereas MeHg altered fewer transcripts. To attenuate batch effects, analysis has been focused on the 500 PS with highest variability. The test systems differed significantly in their responses (<20 % overlap). Moreover, within one test system, little overlap between the PS changed by the two compounds has been observed. However, using TFBS enrichment, a relatively large 'common response' to VPA and MeHg could be distinguished from 'compound-specific' responses. In conclusion, the ESNATS assay battery allows classification of human DNT/RT toxicants on the basis of their transcriptome profiles.

Indexed as

Gene Expression ProfilingBinding SitesCells, CulturedEmbryonic Stem CellsGene Expression RegulationHumansMethylmercury CompoundsMutagenicity TestsNeurotoxicity SyndromesOligonucleotide Array Sequence AnalysisValproic AcidMethylmercury CompoundsValproic Acid

Identifiers

PMID23179753
PMCPMC3535399
OpenAlexW1991671862

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.