Development and Characterization of Human Cerebral Organoids: An Optimized Protocol
Open accessAbstract
Studies of human neurodevelopmental disorders and stem cell–based regenerative transplants have been hampered by the lack of a model of the developing human brain. Stem cell–derived neurons suffer major limitations, including the ability to recapitulate the 3-dimensional architecture of a brain tissue and the representation of multiple layers and cell types that contribute to the overall brain functions in vivo. Recently, cerebral organoid technology was introduced; however, such technology is still in its infancy, and its low reproducibility and limitations significantly reduce the reliability of such a model as it currently exists, especially considering the complexity of cerebral-organoid protocols. Here we have tested and compared multiple protocols and conditions for growth of organoids, and we describe an optimized methodology, and define the necessary and sufficient factors that support the development of optimal organoids. Our optimization criteria included organoids’ overall growth and size, stratification and representation of the various cell types, inter-batch variability, analysis of neuronal maturation, and even the cost of the procedure. Importantly, this protocol encompasses a plethora of technical tips that allow researchers to easily reproduce it and obtain reliable organoids with the least variability, and showcases a robust array of approaches to characterize successful organoids. This optimized protocol provides a reliable system for genetic or pharmacological (drug development) screens and may enhance understanding and therapy of human neurodevelopmental disorders, including harnessing the therapeutic potential of stem cell–derived transplants.
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The success rate of on-chip tubular organoid formation is around 60%, comparable with the intrinsic success rate (70%) of the cerebral organoid protocol.
“Overall, we observe a success rate of on-chip tubular organoid formation around 60%, a rate comparable with the intrinsic success rate (70%) with the cerebral organoid protocol.52”
From Tubular human brain organoids to model microglia-mediated neuroinflammation (2021) · cites this paper as [52]
The Procedures section describes measuring successful embryoid-body formation, and the Characterization section describes successful cerebral organoids, but neither passage gives a 70% success rate. Searches for “70% success rate” and cerebral-organoid formation efficiency found no passage establishing that figure. The on-chip 60% rate is presented as the citing authors’ own observation, not a result attributed to this source. (LLM, conf=0.72)
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Tubular human brain organoids to model microglia-mediated neuroinflammation
Ao, Z., Cai, H., Wu, Z., Song, S., Karahan, H., Kim, B., Lu, H.-C., Kim, J., Mackie, K., & Guo, F. (2021) · Lab on a Chip · doi:10.1039/d1lc00030f · Cited by 87 · see citing works
- Authors
- Yakoub, A. M., & Sadek, M.
- Affiliations
- Stanford Medicine (US)
- University of Illinois Chicago (US)
- Corresponding author
- Yakoub, Abraam M.
- ORCID
- Yakoub, Abraam M.
- Venue
- Cell Transplantation
- Publisher
- SAGE Publications
- Published
- 2018-03
- Volume
- 27
- Issue
- 3
- Pages
- 393-406
- ISSN
- 0963-6897 (ISSN-L)
- 1555-3892
- PMC
- PMC6038047
- OpenAlex
- W2800784717
- Cited by
- 47
- References
- 6
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 3 · 2023: 9 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 9
- FWCI
- 1.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Transplantation (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- brain organoids, human brain development, neurodevelopmental disorders, reproducibility, neuronal maturation, batch-to-batch variation, stem cell-derived neurons, drug screening model, organoid characterization
- MeSH terms
- Brain, Humans, Organoids, Stem Cells, Neurodevelopmental Disorders
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