Evaluation of developmental toxicant identification using gene expression profiling in embryonic stem cell
Dorien A M van Dartel1, Jeroen L A Pennings, Liset J J de la Fonteyne
1Laboratory for Health Protection Research, National Institute for Public Health and the Environment, 3720 BA Bilthoven, The Netherlands. dorien.van.dartel@rivm.nl
This study enhances the embryonic stem cell test (EST) for developmental toxicity assessment by integrating transcriptomics. This approach improves prediction accuracy for chemical developmental toxicity using gene expression profiles.
Area of Science:
- Toxicology
- Developmental Biology
- Genomics
Background:
- The murine embryonic stem cell test (EST) is an alternative method for assessing chemical developmental toxicity.
- Integrating transcriptomics into the EST can enhance prediction accuracy and define its applicability domain.
Purpose of the Study:
- To evaluate the efficacy of transcriptomics in the EST for identifying developmental toxicants.
- To assess two specific gene sets for predicting developmental toxicity.
Main Methods:
- Utilized transcriptomics analysis on embryonic stem cells (ESCs) exposed to 12 known developmental toxicants.
- Applied principal component analysis on predefined gene sets to define a "differentiation track" representing ESC differentiation.
- Evaluated compound-induced deviations from the differentiation track to predict toxicity.
Main Results:
- Successfully predicted developmental toxicity for 83% and 67% of compounds using the "Van_Dartel_heartdiff_24h" and "EST biomarker genes" sets, respectively.
- Transcriptomics analysis identified compound-induced changes in gene expression related to ESC differentiation.
Conclusions:
- Transcriptomics application in the EST shows promise for improving the prediction of chemical developmental toxicity.
- This approach may enhance the overall applicability and reliability of the EST for toxicological assessments.
More Related Videos
17:28Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
Published on: June 17, 2015
09:07Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
Published on: June 21, 2016
