Summary of ssbd-repos-00085

SSBD:database
URL

Name
ssbd-repos-00085 (85-Kosodo-NeuralballDyn)
URL
DOI
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Title
TimeLapse images of Tbr2-EGFP expression in a neural ball
Description
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Submited Date
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Release Date
2018-11-14
Updated Date
-
License
Funding information
-
File formats
Data size
1.8 GB

Organism
M. musculus
Strain
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Cell Line
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Genes
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Proteins
Tbr2

GO Molecular Function (MF)
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GO Biological Process (BP)
neurogenesis
GO Cellular Component (CC)
NA
Study Type
-
Imaging Methods
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Method Summary
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Related paper(s)

Yoichi Kosodo, Taeko Suetsugu, Tetsuya J Kobayashi, Fumio Matsuzaki (2017) Systematic time-dependent visualization and quantitation of the neurogenic rate in brain organoids., Biochemical and biophysical research communications, Volume 483, Number 1, pp. 94-100

Published in 2017 Jan 29 (Electronic publication in Jan. 4, 2017, midnight )

(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.
(MeSH Terms)

Contact(s)
Yoichi Kosodo
Organization(s)
Korea Brain Research Institute , Neural Regeneration Laboratory
Image Data Contributors
Quantitative Data Contributors

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