3D organoid-mea bioassay for modeling neurodegenerative diseases

Technology
Conceptual
University

An innovative bioassay combining brain-derived organoids and 3D mesh multi-electrode arrays for neurodegenerative disease modeling. Enhances in vitro predictive power and drug discovery for Alzheimer's, Parkinson's, and ALS.

Overview

The 3D Organoid-MEA bioassay is an advanced platform designed to model neuronal dysfunction and neuroinflammation in neurodegenerative diseases such as Alzheimer's, Parkinson's, and ALS. By integrating brain-derived organoids with three-dimensional mesh multi-electrode arrays (3D mesh MEA) and AI-driven pattern recognition, this system provides a clinically relevant in vitro model. The inclusion of disease-relevant posttranslational modifications, such as pseudo-citrullinated tau, along with real-time monitoring and advanced analytics, enhances the predictive power of drug screening assays, increasing the likelihood of identifying effective therapies.

Technical specifications

Key features:

  • Utilizes brain-derived organoids for more accurate 3D cellular architecture and diversity compared to traditional 2D cultures.
  • Incorporates 3D mesh MEA for high-fidelity electrophysiological recordings.
  • Integrates AI-driven analytics and high-performance computing to handle large-scale data, improving reproducibility and throughput.
  • Includes neuroinflammatory components like reactive astrocytes and microglia to mimic disease conditions more closely.
  • Aims to engineer organoids expressing disease-relevant pseudo-citrullinated tau (citR-tau) for enhanced pathogenic modeling.
Technology readiness level

Currently at TRL 3, the bioassay is in the experimental proof-of-concept phase. The methodology involves generating organoids from iPSCs, differentiating them into disease-relevant neurons, and integrating them with flexible 3D MEA. AI models and machine learning on high-performance computing clusters are being employed to identify patterns correlating with pathology and therapeutic responses. Validation plans include pilot drug screening and data analysis.


About University of Michigan

The University of Michigan is a comprehensive public research university based in Ann Arbor with additional campuses in Dearborn and Flint, known for a broad, interdisciplinary research enterprise and a major academic health system. Industry partners engage through co-located facilities, including a large north campus research complex with shared labs and incubator space, plus on-campus testbeds for rapid prototyping and validation. Proximity to Detroit’s mobility and manufacturing base, plus dedicated business engagement teams, streamlines sponsored research and access to talent. Research is supported by competitive federal funding from agencies such as NIH, NSF, DOE, and DoD, alongside state and industry sponsorship. A centralized tech transfer office manages IP, licensing, and startup support, with corporate memberships and flexible agreements.

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