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A review of protocols for brain organoids and applications for disease modeling

Recent breakthroughs in human stem cell technologies have enabled the generation of 3D brain organoid platforms for modeling human neurodevelopment and disease. Here, we review advances in brain organoid development, approaches for generating whole-brain or cerebral organoids and region-specific bra...

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Autores principales: Mayhew, Christopher N., Singhania, Richa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803834/
https://www.ncbi.nlm.nih.gov/pubmed/36566384
http://dx.doi.org/10.1016/j.xpro.2022.101860
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author Mayhew, Christopher N.
Singhania, Richa
author_facet Mayhew, Christopher N.
Singhania, Richa
author_sort Mayhew, Christopher N.
collection PubMed
description Recent breakthroughs in human stem cell technologies have enabled the generation of 3D brain organoid platforms for modeling human neurodevelopment and disease. Here, we review advances in brain organoid development, approaches for generating whole-brain or cerebral organoids and region-specific brain organoids, and their applications in disease modeling. We present a comprehensive overview of various brain organoid generation protocols, including culture steps, media, timelines, and technical considerations associated with each protocol, and highlight the advantages and disadvantages of each protocol. We also discuss the current limitations as well as increasing sophistication of brain organoid technology, and future directions for the field. These insights provide a valuable assessment of multiple commonly used brain organoid models and main considerations for investigators who are considering implementing brain organoid technologies in their laboratories.
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spelling pubmed-98038342023-01-01 A review of protocols for brain organoids and applications for disease modeling Mayhew, Christopher N. Singhania, Richa STAR Protoc Protocol Review Recent breakthroughs in human stem cell technologies have enabled the generation of 3D brain organoid platforms for modeling human neurodevelopment and disease. Here, we review advances in brain organoid development, approaches for generating whole-brain or cerebral organoids and region-specific brain organoids, and their applications in disease modeling. We present a comprehensive overview of various brain organoid generation protocols, including culture steps, media, timelines, and technical considerations associated with each protocol, and highlight the advantages and disadvantages of each protocol. We also discuss the current limitations as well as increasing sophistication of brain organoid technology, and future directions for the field. These insights provide a valuable assessment of multiple commonly used brain organoid models and main considerations for investigators who are considering implementing brain organoid technologies in their laboratories. Elsevier 2022-12-24 /pmc/articles/PMC9803834/ /pubmed/36566384 http://dx.doi.org/10.1016/j.xpro.2022.101860 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol Review
Mayhew, Christopher N.
Singhania, Richa
A review of protocols for brain organoids and applications for disease modeling
title A review of protocols for brain organoids and applications for disease modeling
title_full A review of protocols for brain organoids and applications for disease modeling
title_fullStr A review of protocols for brain organoids and applications for disease modeling
title_full_unstemmed A review of protocols for brain organoids and applications for disease modeling
title_short A review of protocols for brain organoids and applications for disease modeling
title_sort review of protocols for brain organoids and applications for disease modeling
topic Protocol Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803834/
https://www.ncbi.nlm.nih.gov/pubmed/36566384
http://dx.doi.org/10.1016/j.xpro.2022.101860
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