Detail of fig4A_DAPT18



Project
Title
Time-lapse images of Tbr2-EGFP expression in a neural ball reacting to DAPT application
Description
NA
Release, Updated
2018-11-14
License
CC BY
Kind
Image data based on Experiment
File Formats
Data size
438.7 MB

Organism
M. musculus ( NCBI:txid10090 )
Strain(s)
-
Cell Line
-
Protein names
Tbr2
Protein tags
EGFP

Datatype
Dynamics of neural ball shape and neural differentiation
Molecular Function (MF)
Biological Process (BP)
neurogenesis ( GO:0022008 )
Cellular Component (CC)
-
Biological Imaging Method
XYZ Scale
XY: NA micrometer/pixel, Z: NA micrometer/slice
T scale
1 minute for each time interval

Image Acquisition
Experiment type
TimeLapse
Microscope type
Other
Acquisition mode
BrightField
Contrast method
Fluorescence
Microscope model
Leica AS MDW
Detector model
-
Objective model
-
Filter set
-

Summary of Methods
See details in Kosodo et al. (2017) Biochem Biophys Res Commun, 483(1): 94-100.
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
Yoichi Kosodo , Korea Brain Research Institute , Neural Regeneration Laboratory
Contributors
Yoichi Kosodo, Taeko Suetsugu, Tetsuya J. Kobayashi, Fumio Matsuzaki

OMERO Dataset
OMERO Project
Source