Background: Primary neuronal cell cultures are useful for studying mechanisms that influence dendritic morphology during normal development and in response to various stressors. However, analyzing dendritic morphology is challenging, particularly in cultures with high cell density, and manual methods of selecting neurons and tracing dendritic arbors can introduce significant bias, and are labor-intensive. To overcome these challenges, semi-automated and automated methods are being developed, with most software solutions requiring computer-assisted dendrite tracing with subsequent quantification of various parameters of dendritic morphology, such as Sholl analysis.
View Article and Find Full Text PDFTo screen the tens of thousands of chemicals for which no toxicity data currently exists, it is necessary to move from in vivo rodent models to alternative models, such as zebrafish. Here, we used dechorionated Tropical 5D wild-type zebrafish embryos to screen a 91-compound library provided by the National Toxicology Program (NTP) for developmental toxicity. This library contained 86 unique chemicals that included negative controls, flame retardants, polycyclic aromatic hydrocarbons (PAHs), drugs, industrial chemicals, and pesticides.
View Article and Find Full Text PDFPolychlorinated biphenyls (PCBs), and in particular non-dioxin-like (NDL) congeners, continue to pose a significant risk to the developing nervous system. PCB 95, a prevalent NDL congener in the human chemosphere, promotes dendritic growth in rodent primary neurons by activating calcium-dependent transcriptional mechanisms that normally function to link activity to dendritic growth. Activity-dependent dendritic growth is also mediated by calcium-dependent translational mechanisms involving mechanistic target of rapamycin (mTOR), suggesting that the dendrite-promoting activity of PCB 95 may also involve mTOR signaling.
View Article and Find Full Text PDFCurrent developmental neurotoxicity (DNT) testing in animals faces major limitations, such as high cost and time demands as well as uncertainties in their methodology, evaluation and regulation. Therefore, the use of human-based 3D in vitro systems in combination with high-content image analysis (HCA) might contribute to DNT testing with lower costs, increased throughput and enhanced predictivity for human hazard identification. Human neural progenitor cells (hNPCs) grown as 3D neurospheres mimic basic processes of brain development including hNPC migration and differentiation and are therefore useful for DNT hazard identification.
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