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Author Spotlight: Advancing 3D Cell Modeling – A High-Throughput Approach for Neural Cocultures
Published on: September 29, 2023
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High throughput 3D gel-based neural organotypic model for cellular assays using fluorescence biosensors
Srikanya Kundu1, Molly E Boutin1, Caroline E Strong1
13D Tissue Bioprinting Laboratory, National Center for Advancing Translational Sciences, National Institute of Health, 9800 Medical Center Dr, Rockville, MD, 20850, USA.
Communications Biology
|November 13, 2022
Summary
This study developed advanced 3D neural models using biofabrication for drug testing. These models better predict therapeutic responses compared to traditional 2D cultures, aiding neurological disease research.
Area of Science:
- Neuroscience
- Biotechnology
- Pharmacology
Background:
- Three-dimensional (3D) organotypic models are crucial for developing clinically predictive assays in therapeutics development.
- Existing models struggle to fully replicate native-like physiological features of tissues, especially for neurological diseases.
- Biofabrication of 3D gel-based systems offers a versatile approach for creating complex, native-like tissue models.
Purpose of the Study:
- To develop functional 3D neural co-culture models using biofabrication techniques.
- To integrate biosensors and optogenetics for real-time neurotransmitter and intracellular calcium measurements.
- To assess the predictive power of these 3D models for drug responses compared to 2D models.
Main Methods:
- Fabrication of 3D fibrin gel-based neural co-cultures with human induced pluripotent stem cell (hiPSC)-derived dopaminergic/glutamatergic neurons and astrocytes.
- Incorporation of genetically encoded fluorescence biosensors for monitoring intracellular calcium, dopamine, and glutamate.
- Application of optogenetics for neural activation and pharmacological perturbations for drug response assessment.
Main Results:
- Successful creation of functional 3D neural co-culture models with key cell types.
- Real-time monitoring of intracellular calcium and neurotransmitter dynamics achieved using biosensors and optogenetics.
- 3D models demonstrated drug responses consistent with in-vivo data, outperforming 2D models in certain cases.
Conclusions:
- 3D fibrin gel-based neural models offer a physiologically relevant platform for studying neurological diseases.
- These advanced models provide a more accurate preclinical assessment of drug efficacy and toxicity.
- The developed platform supports high-throughput screening and advances therapeutics development for neurological disorders.

