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Updated: Jun 17, 2026
10:25
Generation of Standardized and Reproducible Forebrain-type Cerebral Organoids from Human Induced Pluripotent Stem Cells
Published on: January 23, 2018
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Increased reproducibility of brain organoids through controlled fluid dynamics
Giuseppe Aiello1, Mohamed Nemir1, Barbora Vidimova1
1Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.
EMBO Reports
|November 19, 2025
Summary
Reducing fluid flow shear stress (fFSS) in brain organoid cultures improves their reproducibility. This method minimizes structural variation and preserves gene expression, enhancing their reliability for neurodevelopmental research.
Area of Science:
- Neuroscience
- Developmental Biology
- Biomedical Engineering
Background:
- Brain organoids are valuable models for studying human neurodevelopment and diseases.
- High variability in 3D structure during differentiation poses a challenge for reproducibility.
- Fluid flow shear stress (fFSS) is implicated in disrupting organoid integrity and morphogenesis.
Purpose of the Study:
- To investigate the impact of fFSS on brain organoid development and reproducibility.
- To develop a method for reducing fFSS to improve organoid consistency.
- To enhance the reliability of brain organoid models for research applications.
Main Methods:
- Employing a vertically rotating chamber during neuronal induction to reduce fFSS.
- Implementing an extended cell aggregation phase to minimize organoid fusions.
- Analyzing morphological structure and transcriptional signature fidelity.
Main Results:
- Reduced fFSS significantly improved brain organoid reproducibility across batches and cell lines.
- Minimized morphological structure variation was observed in organoids cultured under reduced fFSS.
- Transcriptional signature fidelity was preserved, indicating stable cell identity.
Conclusions:
- Reducing fFSS is a critical factor in enhancing brain organoid consistency.
- This approach improves the reliability of brain organoid models for neurodevelopmental research.
- The findings have significant implications for preclinical studies and disease modeling.
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