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Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain

Human brain organoid systems offer unprecedented opportunities to investigate both neurodevelopmental and neurological disease. Single-cell-based transcriptomics or epigenomics have dissected the cellular and molecular heterogeneity in the brain organoids, revealing a complex organization. Similar b...

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Detalles Bibliográficos
Autores principales: Tanaka, Yoshiaki, Cakir, Bilal, Xiang, Yangfei, Sullivan, Gareth J., Park, In-Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043376/
https://www.ncbi.nlm.nih.gov/pubmed/32049002
http://dx.doi.org/10.1016/j.celrep.2020.01.038
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author Tanaka, Yoshiaki
Cakir, Bilal
Xiang, Yangfei
Sullivan, Gareth J.
Park, In-Hyun
author_facet Tanaka, Yoshiaki
Cakir, Bilal
Xiang, Yangfei
Sullivan, Gareth J.
Park, In-Hyun
author_sort Tanaka, Yoshiaki
collection PubMed
description Human brain organoid systems offer unprecedented opportunities to investigate both neurodevelopmental and neurological disease. Single-cell-based transcriptomics or epigenomics have dissected the cellular and molecular heterogeneity in the brain organoids, revealing a complex organization. Similar but distinct protocols from different labs have been applied to generate brain organoids, providing a large resource to perform a comparative analysis of brain developmental processes. Here, we take a systematic approach to compare the single-cell transcriptomes of various human cortical brain organoids together with fetal brain to define the identity of specific cell types and differentiation routes in each method. Importantly, we identify unique developmental programs in each protocol compared to fetal brain, which will be a critical benchmark for the utility of human brain organoids in the future.
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spelling pubmed-70433762020-02-26 Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain Tanaka, Yoshiaki Cakir, Bilal Xiang, Yangfei Sullivan, Gareth J. Park, In-Hyun Cell Rep Article Human brain organoid systems offer unprecedented opportunities to investigate both neurodevelopmental and neurological disease. Single-cell-based transcriptomics or epigenomics have dissected the cellular and molecular heterogeneity in the brain organoids, revealing a complex organization. Similar but distinct protocols from different labs have been applied to generate brain organoids, providing a large resource to perform a comparative analysis of brain developmental processes. Here, we take a systematic approach to compare the single-cell transcriptomes of various human cortical brain organoids together with fetal brain to define the identity of specific cell types and differentiation routes in each method. Importantly, we identify unique developmental programs in each protocol compared to fetal brain, which will be a critical benchmark for the utility of human brain organoids in the future. 2020-02-11 /pmc/articles/PMC7043376/ /pubmed/32049002 http://dx.doi.org/10.1016/j.celrep.2020.01.038 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Tanaka, Yoshiaki
Cakir, Bilal
Xiang, Yangfei
Sullivan, Gareth J.
Park, In-Hyun
Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title_full Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title_fullStr Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title_full_unstemmed Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title_short Synthetic Analyses of Single-Cell Transcriptomes from Multiple Brain Organoids and Fetal Brain
title_sort synthetic analyses of single-cell transcriptomes from multiple brain organoids and fetal brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043376/
https://www.ncbi.nlm.nih.gov/pubmed/32049002
http://dx.doi.org/10.1016/j.celrep.2020.01.038
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