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

Overview of attention for article published in Archives of Toxicology, November 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 news outlet
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1 X user
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2 patents

Citations

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200 Dimensions

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132 Mendeley
Title
Human embryonic stem cell-derived test systems for developmental neurotoxicity: a transcriptomics approach
Published in
Archives of Toxicology, November 2012
DOI 10.1007/s00204-012-0967-3
Pubmed ID
Authors

Anne K. Krug, 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

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Denmark 1 <1%
France 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 23%
Student > Ph. D. Student 21 16%
Student > Master 16 12%
Student > Bachelor 12 9%
Student > Doctoral Student 10 8%
Other 26 20%
Unknown 16 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 24%
Agricultural and Biological Sciences 30 23%
Pharmacology, Toxicology and Pharmaceutical Science 14 11%
Neuroscience 12 9%
Environmental Science 7 5%
Other 16 12%
Unknown 21 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2023.
All research outputs
#2,385,086
of 24,648,202 outputs
Outputs from Archives of Toxicology
#160
of 2,797 outputs
Outputs of similar age
#22,116
of 285,956 outputs
Outputs of similar age from Archives of Toxicology
#1
of 18 outputs
Altmetric has tracked 24,648,202 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,797 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.