MoNNet platform for modeling mammalian brain function and disease
This technology is a Modular Neuronal Network (MoNNet) platform that allows quantitative in vitro modelling of higher-order brain network properties - including segregated local-global network synchrony, complex activity motifs, formation and maintenance of neuronal ensembles, and a hierarchical modular network organization - in normal and diseased states.
Unmet Need: Accurate on-chip model of complex mammalian brain organization
Current methods for in vitro modeling of mammalian neural organization rely on densely assembled cerebral organoids. Although a valuable tool for studying brain function and disease, their efficacy in recapitulating brain network properties that encode brain function remains limited, thereby precluding development of effective in vitro models of complex brain disorders like schizophrenia. Furthermore, these platforms are not easily manipulable, limiting their flexibility and utility for tasks such as drug discovery.
The Technology: Modular Neuronal Network (MoNNet) approach that recapitulates neuronal ensemble dynamics
This technology is a neural microphysiological system for in vitro modelling of brain function and disorders. The system utilizes neurons and iPSCs to generate networks of spheroids that mimic the hierarchic modular architecture of the mammalian brain and exhibit higher-order network features such as segregated local-global network computations, formation and maintenance of neuronal ensembles, and complex activity motifs. This allows for more accurate quantitative modeling of mammalian brain networks, with flexible control of the size, patterns, and complexity of neural connections and functional readouts. As such, this technology can be used in high-throughput platforms for patient-specific disease modeling and drug screening.
This technology has been validated using mouse primary neurons and human neural iPSCs and has been leveraged for drug discovery in experimental settings.
Applications:
- Modeling of mammalian brain organization and disease pathophysiology
- High-throughput drug screening
- Precision neurology
- Improved machine learning approaches
Advantages:
- Quantitative high-fidelity in vitro models of complex brain disorders
- Precise manipulation and observation of individual neurons and entire networks
- Short time of preparation and analysis
Lead Inventor:
Patent Information:
Related Publications
Tech Ventures Reference:
IR CU18176
Licensing Contact: Beth Kauderer