ArticleNeurotoxicology2021
Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons.
Article in Neurotoxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- High-content toxicological profiling of 87 compounds using a 3D mouse mini-testis model: a New Approach Methodology (NAM) for prioritizing male reproductive toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Investigating blood-brain barrier penetration and neurotoxicity of natural products for central nervous system drug development.Scientific reports · 2025Article
- Measurements of neurite extension and nucleokinesis in an iPSC-derived model system following microtubule perturbation.Molecular biology of the cell · 2025Article
- Assessing the Neurodevelopmental Impact of Fluoxetine, Citalopram, and Paroxetine on Neural Stem Cell-Derived Neurons.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Article
- From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation.Communications biology · 2024Review
- High-Throughput Screening to Advance In Vitro Toxicology: Accomplishments, Challenges, and Future Directions.Annual review of pharmacology and toxicology · 2024Review
- Neuronal differentiation pathways and compound-induced developmental neurotoxicity in the human neural progenitor cell test (hNPT) revealed by RNA-seq.Chemosphere · 2022Article
- High-Throughput Neurite Outgrowth Assay Using GFP-Labeled iPSC-Derived Neurons.Current protocols · 2022Article
- Optimised techniques for high-throughput screening of differentiated SH-SY5Y cells and application for neurite outgrowth assays.Scientific reports · 2021Article
- NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth.Journal of neuroscience methods · 2021Article
- Review of high-content screening applications in toxicology.Archives of toxicology · 2019Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Due to the increasing number of drugs and untested environmental compounds introduced into commercial use, there is recognition for a need to develop reliable and efficient screening methods to identify compounds that may adversely impact the nervous system. One process that has been implicated in neurodevelopment is neurite outgrowth; the disruption of which can result in adverse outcomes that persist later in life. Here, we developed a green fluorescent protein (GFP) labeled neurite outgrowth assay in a high-content, high-throughput format using induced pluripotent stem cell (iPSC) derived human spinal motor neurons and cortical glutamatergic neurons. The assay was optimized for use in a 1536-well plate format. Then, we used this assay to screen a set of 84 unique compounds that have previously been screened in other neurite outgrowth assays. This library consists of known developmental neurotoxicants, environmental compounds with unknown toxicity, and negative controls. Neurons were cultured for 40 h and then treated with compounds at 11 concentrations ranging from 1.56 nM to 92 μM for 24 and 48 h. Effects of compounds on neurite outgrowth were evaluated by quantifying total neurite length, number of segments, and maximum neurite length per cell. Among the 84 tested compounds, neurite outgrowth in cortical neurons and motor neurons were selectively inhibited by 36 and 31 compounds, respectively. Colchicine, rotenone, and methyl mercuric (II) chloride inhibited neurite outgrowth in both cortical and motor neurons. It is interesting to note that some compounds like parathion and bisphenol AF had inhibitory effects on neurite outgrowth specifically in the cortical neurons, while other compounds, such as 2,2',4,4'-tetrabromodiphenyl ether and caffeine, inhibited neurite outgrowth in motor neurons. The data gathered from these studies show that GFP-labeled iPSC-derived human neurons are a promising tool for identifying and prioritizing compounds with developmental neurotoxicity potential for further hazard characterization.
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