The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Human brain organoids on a chip reveal the physics of folding
Open accessAbstract
Human brain wrinkling has been implicated in neurodevelopmental disorders and yet its origins remain unknown. Polymer gel models suggest that wrinkling emerges spontaneously due to compression forces arising during differential swelling, but these ideas have not been tested in a living system. Here, we report the appearance of surface wrinkles during the in vitro development and self-organization of human brain organoids in a microfabricated compartment that supports in situ imaging over a timescale of weeks. We observe the emergence of convolutions at a critical cell density and maximal nuclear strain, which are indicative of a mechanical instability. We identify two opposing forces contributing to differential growth: cytoskeletal contraction at the organoid core and cell-cycle-dependent nuclear expansion at the organoid perimeter. The wrinkling wavelength exhibits linear scaling with tissue thickness, consistent with balanced bending and stretching energies. Lissencephalic (smooth brain) organoids display reduced convolutions, modified scaling and a reduced elastic modulus. Although the mechanism here does not include the neuronal migration seen in vivo, it models the physics of the folding brain remarkably well. Our on-chip approach offers a means for studying the emergent properties of organoid development, with implications for the embryonic human brain. Wrinkling in human brain organoids suggests that brain development may be mechanically driven, a notion supported only by model gels so far. Evidence in this simple living system highlights roles for cytoskeletal contraction and nuclear expansion.
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Engineered materials for organoid systems
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Metadata
- Authors
- Karzbrun, E., Kshirsagar, A., Cohen, S. R., Hanna, J. H., & Reiner, O.
- Venue
- Nature Physics
- Published
- 2018-02-19
- Volume
- 14
- Issue
- 5
- Pages
- 515-522
- ISSN
- 1745-2473 (ISSN-L)
- 1745-2481
- OpenAlex
- W2790329053
- Cited by
- 419
- References
- 69
- FWCI
- 21.18
- Type
- journal article
- Language
- en
- Open access
- green
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