Cell diversity and network dynamics in photosensitive human brain organoids
Name
nihms907542.pdf
Description
Accepted version
Size
5.75 MB
Format
Adobe PDF
Checksum (MD5)
1dee51386ce7cc84b3c1cda2f6b685bc
Author(s)
Quadrato, Giorgia
Nguyen, Tuan
Macosko, Evan Z
Sherwood, John L
Min Yang, Sung
Berger, Daniel R
Maria, Natalie
Scholvin, Jorg
Goldman, Melissa
Kinney, Justin P
Date Issued
2017
Journal
Nature
Publisher
Springer Science and Business Media LLC
Citation
Quadrato, G., et al. "Cell Diversity and Network Dynamics in Photosensitive Human Brain Organoids." Nature (2017).
Version
Author's final manuscript
Abstract
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. In vitro models of the developing brain such as three-dimensional brain organoids offer an unprecedented opportunity to study aspects of human brain development and disease. However, the cells generated within organoids and the extent to which they recapitulate the regional complexity, cellular diversity and circuit functionality of the brain remain undefined. Here we analyse gene expression in over 80,000 individual cells isolated from 31 human brain organoids. We find that organoids can generate a broad diversity of cells, which are related to endogenous classes, including cells from the cerebral cortex and the retina. Organoids could be developed over extended periods (more than 9 months), allowing for the establishment of relatively mature features, including the formation of dendritic spines and spontaneously active neuronal networks. Finally, neuronal activity within organoids could be controlled using light stimulation of photosensitive cells, which may offer a way to probe the functionality of human neuronal circuits using physiological sensory stimuli.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Media Laboratory
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1038/NATURE22047
