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Multiscale 3D phenotyping of human cerebral organoids
Brain organoids grown from human pluripotent stem cells self-organize into cytoarchitectures resembling the developing human brain. These three-dimensional models offer an unprecedented opportunity to study human brain development and dysfunction. Characterization currently sacrifices spatial inform...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723053/ https://www.ncbi.nlm.nih.gov/pubmed/33293587 http://dx.doi.org/10.1038/s41598-020-78130-7 |
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author | Albanese, Alexandre Swaney, Justin M. Yun, Dae Hee Evans, Nicholas B. Antonucci, Jenna M. Velasco, Silvia Sohn, Chang Ho Arlotta, Paola Gehrke, Lee Chung, Kwanghun |
author_facet | Albanese, Alexandre Swaney, Justin M. Yun, Dae Hee Evans, Nicholas B. Antonucci, Jenna M. Velasco, Silvia Sohn, Chang Ho Arlotta, Paola Gehrke, Lee Chung, Kwanghun |
author_sort | Albanese, Alexandre |
collection | PubMed |
description | Brain organoids grown from human pluripotent stem cells self-organize into cytoarchitectures resembling the developing human brain. These three-dimensional models offer an unprecedented opportunity to study human brain development and dysfunction. Characterization currently sacrifices spatial information for single-cell or histological analysis leaving whole-tissue analysis mostly unexplored. Here, we present the SCOUT pipeline for automated multiscale comparative analysis of intact cerebral organoids. Our integrated technology platform can rapidly clear, label, and image intact organoids. Algorithmic- and convolutional neural network-based image analysis extract hundreds of features characterizing molecular, cellular, spatial, cytoarchitectural, and organoid-wide properties from fluorescence microscopy datasets. Comprehensive analysis of 46 intact organoids and ~ 100 million cells reveals quantitative multiscale “phenotypes" for organoid development, culture protocols and Zika virus infection. SCOUT provides a much-needed framework for comparative analysis of emerging 3D in vitro models using fluorescence microscopy. |
format | Online Article Text |
id | pubmed-7723053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77230532020-12-09 Multiscale 3D phenotyping of human cerebral organoids Albanese, Alexandre Swaney, Justin M. Yun, Dae Hee Evans, Nicholas B. Antonucci, Jenna M. Velasco, Silvia Sohn, Chang Ho Arlotta, Paola Gehrke, Lee Chung, Kwanghun Sci Rep Article Brain organoids grown from human pluripotent stem cells self-organize into cytoarchitectures resembling the developing human brain. These three-dimensional models offer an unprecedented opportunity to study human brain development and dysfunction. Characterization currently sacrifices spatial information for single-cell or histological analysis leaving whole-tissue analysis mostly unexplored. Here, we present the SCOUT pipeline for automated multiscale comparative analysis of intact cerebral organoids. Our integrated technology platform can rapidly clear, label, and image intact organoids. Algorithmic- and convolutional neural network-based image analysis extract hundreds of features characterizing molecular, cellular, spatial, cytoarchitectural, and organoid-wide properties from fluorescence microscopy datasets. Comprehensive analysis of 46 intact organoids and ~ 100 million cells reveals quantitative multiscale “phenotypes" for organoid development, culture protocols and Zika virus infection. SCOUT provides a much-needed framework for comparative analysis of emerging 3D in vitro models using fluorescence microscopy. Nature Publishing Group UK 2020-12-08 /pmc/articles/PMC7723053/ /pubmed/33293587 http://dx.doi.org/10.1038/s41598-020-78130-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Albanese, Alexandre Swaney, Justin M. Yun, Dae Hee Evans, Nicholas B. Antonucci, Jenna M. Velasco, Silvia Sohn, Chang Ho Arlotta, Paola Gehrke, Lee Chung, Kwanghun Multiscale 3D phenotyping of human cerebral organoids |
title | Multiscale 3D phenotyping of human cerebral organoids |
title_full | Multiscale 3D phenotyping of human cerebral organoids |
title_fullStr | Multiscale 3D phenotyping of human cerebral organoids |
title_full_unstemmed | Multiscale 3D phenotyping of human cerebral organoids |
title_short | Multiscale 3D phenotyping of human cerebral organoids |
title_sort | multiscale 3d phenotyping of human cerebral organoids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723053/ https://www.ncbi.nlm.nih.gov/pubmed/33293587 http://dx.doi.org/10.1038/s41598-020-78130-7 |
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