1. Systematic time-dependent visualization and quantitation of the neurogenic rate in brain organoids.
- Author
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Kosodo Y, Suetsugu T, Kobayashi TJ, and Matsuzaki F
- Subjects
- Animals, Brain cytology, Brain metabolism, Cerebral Cortex cytology, Cerebral Cortex embryology, Cerebral Cortex metabolism, Embryonic Stem Cells cytology, Embryonic Stem Cells metabolism, Green Fluorescent Proteins genetics, Green Fluorescent Proteins metabolism, Mice, Mice, Transgenic, Neural Stem Cells cytology, Neural Stem Cells metabolism, Organ Culture Techniques instrumentation, Organ Culture Techniques methods, Organoids cytology, Organoids metabolism, Time-Lapse Imaging, Brain embryology, Neurogenesis physiology, Organoids embryology
- Abstract
Organoids mimicking the formation of the brain cortex have been demonstrated to be powerful tools for developmental studies as well as pathological investigations of brain malformations. Here, we report an integrated approach for the quantification of temporal neural production (neurogenic rate) in organoids derived from embryonic brains. Spherical tissue fragments with polarized cytoarchitectures were incubated in multiple cavities arranged in a polymethylmethacrylate chip. The time-dependent neurogenic rate in the organoids was monitored by the level of EGFP under the promoter of Tbr2, a transcription factor that is transiently expressed in neural fate-committed progenitors during corticogenesis. Importantly, our monitoring system exhibited a quick response to DAPT, a drug that promotes neural differentiation. Furthermore, we successfully quantified the temporal neurogenic rate in a large number of organoids by applying image processing that semi-automatically recognized the positions of organoids and measured their signal intensities from sequential images. Taken together, we provide a strategy to quantitate the neurogenic rate in brain organoids in a time-dependent manner, which will also be a potent method for monitoring organoid formation and drug activity in other tissue types., (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Published
- 2017
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