Systematic time-dependent visualization and quantitation of the neurogenic rate in brain organoids
DC Field | Value | Language |
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dc.contributor.author | Kosodo, Yoichi | - |
dc.contributor.author | Suetsugu, Taeko | - |
dc.contributor.author | Kobayashi, Tetsuya J. | - |
dc.contributor.author | Matsuzaki, Fumio | - |
dc.date.accessioned | 2023-08-16T09:51:23Z | - |
dc.date.available | 2023-08-16T09:51:23Z | - |
dc.date.created | 2022-01-11 | - |
dc.date.issued | 2017-01 | - |
dc.identifier.issn | 0006-291X | - |
dc.identifier.uri | http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/840 | - |
dc.description.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. (C) 2017 Elsevier Inc. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | Systematic time-dependent visualization and quantitation of the neurogenic rate in brain organoids | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kosodo, Yoichi | - |
dc.identifier.doi | 10.1016/j.bbrc.2016.12.187 | - |
dc.identifier.scopusid | 2-s2.0-85009502171 | - |
dc.identifier.wosid | 000397259000015 | - |
dc.identifier.bibliographicCitation | BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, v.483, no.1, pp.94 - 100 | - |
dc.relation.isPartOf | BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS | - |
dc.citation.title | BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS | - |
dc.citation.volume | 483 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 94 | - |
dc.citation.endPage | 100 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Biophysics | - |
dc.relation.journalWebOfScienceCategory | Biochemistry & Molecular Biology | - |
dc.relation.journalWebOfScienceCategory | Biophysics | - |
dc.subject.keywordPlus | SELF-ORGANIZATION | - |
dc.subject.keywordPlus | STEM-CELLS | - |
dc.subject.keywordPlus | IN-VITRO | - |
dc.subject.keywordPlus | MOUSE | - |
dc.subject.keywordPlus | TRANSITION | - |
dc.subject.keywordPlus | NEOCORTEX | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | Quantitative image processing | - |
dc.subject.keywordAuthor | Tbr2 | - |
dc.subject.keywordAuthor | Corticogenesis | - |
dc.subject.keywordAuthor | Microfabrication | - |
dc.subject.keywordAuthor | Neural ball | - |
dc.subject.keywordAuthor | DAPT | - |
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