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Related Experiment Videos

Adhesion proteins for a tight neuron-electrode contact.

H Sorribas1, D Braun, L Leder

  • 1Laboratory for Micro- and Nanotechnology, Paul Scherrer Institute, CH-5232 Villigen PSI, Switzerland.

Journal of Neuroscience Methods
|February 13, 2001
PubMed
Summary

Neural cell adhesion molecules like axonin-1 improve neuron attachment to surfaces. This research found that axonin-1 minimizes the distance between dorsal root ganglion neurons and engineered surfaces, potentially enhancing signal recording.

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Area of Science:

  • Neuroscience
  • Biomaterials Science
  • Cell Biology

Background:

  • Neural cell adhesion molecules (NCAMs) mediate cell-cell interactions crucial for neural development.
  • Engineering NCAMs for surface immobilization allows for controlled neuronal cell culture.
  • Understanding neuron-surface interactions is key for developing neural interfaces.

Purpose of the Study:

  • To genetically engineer and immobilize axonin-1 and NgCAM on surfaces.
  • To investigate the cell-surface distances of dorsal root ganglion neurons cultured on these engineered surfaces.
  • To compare these distances with other known cell-adhesion substrates.

Main Methods:

  • Genetic engineering of axonin-1 and NgCAM.
  • Covalent immobilization onto glass and silicon oxide surfaces.

Related Experiment Videos

  • Culturing dorsal root ganglion neurons on treated surfaces.
  • Measuring cell-surface distances using fluorescence interference contrast (FLIC) microscopy.

    • Main Results:

    • Neurons cultured on axonin-1 exhibited the minimum cell-surface distance (37 nm).
    • The neuronal glycocalyx likely prevents closer contact with the axonin-1 surface.
    • Cell-surface distances varied across different tested substrates (laminin, RGDC, polylysine, amino-terminated).

    Conclusions:

    • Engineered axonin-1 surfaces promote close apposition of dorsal root ganglion neurons.
    • Optimizing cell-material contact via NCAMs can enhance extracellularly recorded neural signals.
    • This approach holds potential for improving neural electrode performance.