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Surface-Functionalized Self-Standing Microdevices Exhibit Predictive Localization and Seamless Integration in 3D

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Summary

Researchers developed hybrid neurospheroids by integrating microchips with brain cells. Surface engineering of these microdevices controls their integration, enabling advanced 3D brain models with built-in biosensors for neural activity monitoring.

Keywords:
cortical neuronsmicrodevicesspheroidssurface functionalization

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Area of Science:

  • Neuroscience
  • Bioengineering
  • Materials Science

Background:

  • Brain organoids offer promise for studying human brain development and disease.
  • Current limitations in chronic neural activity monitoring hinder the application of brain organoid models.
  • Developing methods to integrate biosensing technologies within 3D neural constructs is crucial.

Purpose of the Study:

  • To investigate the aggregation and integration of silicon microchips with primary cortical cells to form hybrid neurospheroids.
  • To explore the role of surface functionalization in controlling microdevice integration within 3D neural assemblies.
  • To assess the impact of integrated microdevices on spheroid growth, cellular composition, and functional development.

Main Methods:

  • Aggregation of primary cortical cells with silicon sham microchips.
  • Surface functionalization of microchips using protein-binding molecules.
  • Morphological and functional characterization of hybrid neurospheroids.
  • Disaggregation of hybrid neurospheroids for single-cell analysis.

Main Results:

  • Surface functionalization successfully tuned the integration and 3D positioning of microdevices within neurospheroids.
  • The presence of integrated microdevices did not adversely affect spheroid growth, cellular composition (neuron-glia ratio), or functional development.
  • Hybrid neurospheroids could be disaggregated for subsequent single-cell analyses without altering cellular ratios.

Conclusions:

  • Surface-engineered self-standing microdevices can be integrated into 3D brain tissue models.
  • This approach enables the creation of untethered brain organoids with embedded bioelectronic sensors at specific locations.
  • The developed hybrid neurospheroids represent a promising platform for chronic neural activity monitoring and advanced neuroscience research.