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MEA-seqX: High-Resolution Profiling of Large-Scale Electrophysiological and Transcriptional Network Dynamics
Brett Addison Emery1, Xin Hu1, Diana Klütsch1
1German Center for Neurodegenerative Diseases (DZNE), Group "Biohybrid Neuroelectronics", Tatzberg 41, 01307, Dresden, Germany.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 30, 2025
Summary
This study introduces the MEA-seqX platform, linking molecular events and neuronal activity. It reveals coordinated brain dynamics at molecular and functional levels, advancing neuroscience research.
Area of Science:
- Neuroscience
- Molecular Biology
- Systems Biology
Background:
- Brain function involves complex interactions between molecular events and neuronal activity.
- Current methods struggle to simultaneously capture and analyze these diverse biological scales and modalities.
- Bridging molecular and electrophysiological data is crucial for understanding neural network dynamics.
Purpose of the Study:
- To develop and validate an innovative platform for simultaneous recording of molecular and electrical network activities.
- To investigate experience-dependent plasticity in the hippocampus by integrating multi-modal data.
- To uncover novel insights into the coordinated dynamics between gene expression and neuronal function.
Main Methods:
- Integration of high-density microelectrode arrays (MEAs), spatial transcriptomics, and optical imaging.
- Development of advanced computational strategies for multi-modal data analysis.
- Application to a mouse hippocampal model of experience-dependent plasticity.
Main Results:
- The MEA-seqX platform enabled simultaneous mesoscale recording of molecular and electrical activities.
- Massively enhanced nested dynamics between transcription and function were observed during plasticity.
- Graph-theoretic analysis identified an increase in densely connected bimodal hubs, indicating coordinated molecular and functional dynamics.
- Distinct cell types were identified by their unique bimodal profiles.
- Machine learning accurately predicted electrophysiological activity from spatial gene expression.
Conclusions:
- The MEA-seqX platform provides unprecedented convergence across molecular and functional modalities, time, and scales.
- This study demonstrates coordinated hippocampal circuitry dynamics at both molecular and functional levels for the first time.
- The findings open new avenues for understanding brain function and plasticity through integrated multi-modal analysis.
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