Design principles of concentration-dependent transcriptome deviations in drug-exposed differentiating stem cells
Tanja Waldmann1, Eugen Rempel, Nina V Balmer
1Doerenkamp-Zbinden Chair for in Vitro Toxicology and Biomedicine, University of Konstanz , 78457 Konstanz, Germany.
Chemical Research in Toxicology
|January 4, 2014
Summary
Valproic acid (VPA) concentration impacts human embryonic stem cell development. Identifying the highest non-cytotoxic VPA dose is crucial for accurate toxicogenomics studies in developmental toxicology.
Area of Science:
- Developmental toxicology
- Systems biology
- Transcriptomics
Background:
- Understanding transcriptome changes at different drug concentrations is vital for developmental toxicology.
- Valproic acid (VPA) is a drug with known developmental effects.
Purpose of the Study:
- To investigate the effects of eight VPA concentrations on human embryonic stem cell differentiation to neuroectoderm.
- To establish design principles for toxicogenomics studies using VPA as a model.
Main Methods:
- Exposure of human embryonic stem cells to VPA (25-1000 μM) during neuroectodermal differentiation.
- Transcriptome analysis to identify differentially regulated genes.
- Biostatistical and systems biology approaches including transcription factor binding site (TFBS) analysis, gene ontology (GO) profiler, and a teratogenicity index.
Main Results:
- A continuous increase in differentially regulated genes with increasing VPA concentration.
- Distinct transcriptome signatures differentiating tolerated, teratogenic, and cytotoxic VPA concentrations.
- Identification of VPA's mode of action signatures (protein acetylation, developmental changes, cell migration) within the teratogenic range.
- Cytotoxicity associated with catabolism and decreased cell cycle gene expression, not canonical stress indicators.
- Teratogenicity index effectively distinguished VPA's developmental toxicity from cytotoxicity.
Conclusions:
- The highest non-cytotoxic drug concentration is recommended for toxicogenomics studies to avoid misleading mode-of-action data.
- Transcriptome profiling combined with systems biology tools can differentiate drug effects and establish concentration-dependent toxicological principles.
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