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Springer, Archives of Toxicology, 1(87), p. 123-143, 2012

DOI: 10.1007/s00204-012-0967-3

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

Journal article published in 2012 by Anne-Kathrin Krug, Raivo Kolde, John A. Gaspar, Eugen Rempel, Nina V. Balmer, Kesavan Meganathan, Kinga Vojnits, Mathurin Baquié, Roberto Ensenat-Waser, Tanja Waldmann, Smita Jagtap, Richard M. Evans ORCID, Stephanie Julien, Hedi Peterson, Dimitra Zagoura and other authors.
This paper is available in a repository.
This paper is available in a repository.

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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 (