Multiscale 3D phenotyping of human cerebral organoids
Abstract 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 spati...
Guardado en:
Autores principales: | , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fb1882f90ac742849d2c12265a68b902 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:fb1882f90ac742849d2c12265a68b902 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:fb1882f90ac742849d2c12265a68b9022021-12-02T11:43:44ZMultiscale 3D phenotyping of human cerebral organoids10.1038/s41598-020-78130-72045-2322https://doaj.org/article/fb1882f90ac742849d2c12265a68b9022020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78130-7https://doaj.org/toc/2045-2322Abstract 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.Alexandre AlbaneseJustin M. SwaneyDae Hee YunNicholas B. EvansJenna M. AntonucciSilvia VelascoChang Ho SohnPaola ArlottaLee GehrkeKwanghun ChungNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-17 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Alexandre Albanese Justin M. Swaney Dae Hee Yun Nicholas B. Evans Jenna M. Antonucci Silvia Velasco Chang Ho Sohn Paola Arlotta Lee Gehrke Kwanghun Chung Multiscale 3D phenotyping of human cerebral organoids |
description |
Abstract 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 |
article |
author |
Alexandre Albanese Justin M. Swaney Dae Hee Yun Nicholas B. Evans Jenna M. Antonucci Silvia Velasco Chang Ho Sohn Paola Arlotta Lee Gehrke Kwanghun Chung |
author_facet |
Alexandre Albanese Justin M. Swaney Dae Hee Yun Nicholas B. Evans Jenna M. Antonucci Silvia Velasco Chang Ho Sohn Paola Arlotta Lee Gehrke Kwanghun Chung |
author_sort |
Alexandre Albanese |
title |
Multiscale 3D phenotyping of human cerebral organoids |
title_short |
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_sort |
multiscale 3d phenotyping of human cerebral organoids |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/fb1882f90ac742849d2c12265a68b902 |
work_keys_str_mv |
AT alexandrealbanese multiscale3dphenotypingofhumancerebralorganoids AT justinmswaney multiscale3dphenotypingofhumancerebralorganoids AT daeheeyun multiscale3dphenotypingofhumancerebralorganoids AT nicholasbevans multiscale3dphenotypingofhumancerebralorganoids AT jennamantonucci multiscale3dphenotypingofhumancerebralorganoids AT silviavelasco multiscale3dphenotypingofhumancerebralorganoids AT changhosohn multiscale3dphenotypingofhumancerebralorganoids AT paolaarlotta multiscale3dphenotypingofhumancerebralorganoids AT leegehrke multiscale3dphenotypingofhumancerebralorganoids AT kwanghunchung multiscale3dphenotypingofhumancerebralorganoids |
_version_ |
1718395378957549568 |