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Related Experiment Video

Updated: May 25, 2026

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
17:28

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation

Published on: June 17, 2015

Multi-parametric profiling network based on gene expression and phenotype data: a novel approach to developmental

Reiko Nagano1, Hiromi Akanuma, Xian-Yang Qin

  • 1Health Risk Research Section, Research Center for Environmental Risk, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan; E-Mails: nagano.reiko@tasc-nt.or.jp (R.N.); akanuma.hiromi@nies.go.jp (H.A.); y_qin@envhlth.k.u-tokyo.ac.jp (X.-Y.Q.); Toyoshiba_Hiroyoshi@takeda.co.jp (H.T.).

International Journal of Molecular Sciences
|February 8, 2012
PubMed
Summary

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This study presents a new method for developmental neurotoxicity testing using mouse stem cells to predict chemical risks to fetal brain development. This approach combines gene expression and cell behavior analysis for better safety assessments.

Area of Science:

  • Environmental health
  • Neuroscience
  • Stem cell biology

Background:

  • Developmental neurotoxicity (DNT) testing is crucial for children's environmental health.
  • Current DNT methods require improvement for efficiency and accuracy.
  • Fetal programming is a key area of concern in environmental health.

Purpose of the Study:

  • To establish a systematic approach for DNT using mouse embryonic stem cells (mESCs).
  • To model fetal programming and assess the neurotoxic potential of chemicals.
  • To develop a predictive tool for identifying developmental neurotoxic compounds.

Main Methods:

  • Exposure of mESCs during embryoid body (EB) formation to 12 chemicals.
  • Global gene expression profiling via whole genome microarray analysis.
Keywords:
Bayesian network modelingdevelopmental neurotoxicityembryonic stem cellsgene expressionhigh-content screeningmulti-parametric analysis

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Last Updated: May 25, 2026

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
17:28

Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation

Published on: June 17, 2015

Phenotypic Profiling of Human Stem Cell-Derived Midbrain Dopaminergic Neurons
09:21

Phenotypic Profiling of Human Stem Cell-Derived Midbrain Dopaminergic Neurons

Published on: July 7, 2023

  • Neuronal phenotypic parameter determination using high-content image analysis.
  • Bayesian network analysis integrating gene expression and phenotypic data.

    • Main Results:

    • Gene expression signatures related to neuronal development and diseases were analyzed.
    • Comprehensive networks linking early molecular events to later neurodevelopmental effects were generated.
    • Chemicals were characterized based on their neurotoxic potential using multi-parametric analysis.

    Conclusions:

    • Multi-parametric analysis of mESC neuronal differentiation is a useful tool for DNT.
    • This approach can effectively monitor fetal programming.
    • The method aids in predicting developmentally neurotoxic compounds for improved safety.