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Related Concept Videos

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Magnets are commonly found in everyday objects, such as toys, hangers, elevators, doorbells, and computer devices. Experimentation on these magnets shows that all magnets have two poles: one is labeled north (N) and the other south (S). Magnetic poles repel if they are alike and attract if unlike. Moreover, both poles of a magnet attract unmagnetized pieces of iron.
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Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue
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Surface Tension and Neuronal Sorting in Magnetically Engineered Brain-Like Tissue.

Jose E Perez1, Audric Jan2, Catherine Villard1,3

  • 1Laboratoire Physico Chimie Curie, CNRS UMR168, Institut Curie, Sorbonne Université, PSL University, Paris, 75005, France.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|August 6, 2023
PubMed
Summary
This summary is machine-generated.

Engineered 3D brain models reveal how glial and neuronal cells organize mechanically. This study quantifies tissue surface tension and elasticity, offering insights into brain development and neuroengineering applications.

Keywords:
3D brain modelbioengineeringglia/neuron organizationmagnetic nanoparticlesspheroidssurface tension

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Area of Science:

  • Neuroscience
  • Biophysics
  • Tissue Engineering

Background:

  • Understanding brain mechanics is crucial for neurological disease research.
  • Tissue surface tension influences brain development and cell interactions.
  • 3D brain models lack comprehensive mechanical characterization.

Purpose of the Study:

  • To engineer 3D magnetic brain-like spheroids using glial and neuronal cells.
  • To investigate the self-assembly and mechanical properties of these engineered tissues.
  • To correlate glia/neuron ratios with tissue surface tension and elasticity.

Main Methods:

  • Fabrication of 3D magnetic brain-like tissue spheroids with varying glia/neuron ratios.
  • Utilizing magnetic field gradients to deform spheroids and measure mechanical responses.
  • Quantifying tissue surface tension and elasticity based on spheroid deformation.

Main Results:

  • Glial and neuronal cells self-assembled, with neurons forming the periphery and glia the core.
  • Magnetic deformation revealed a transitional dependence of surface tension and elasticity on the glia/neuron ratio.
  • Neuronal tissue exhibited significantly lower surface tension compared to glial tissue.

Conclusions:

  • Mechanical forces likely contribute to the spatial organization of neurons and glia in brain tissue.
  • Glia-neuron organization is a sophisticated mechanism influencing tissue development and homeostasis.
  • These findings are relevant for advancing neuroengineering and understanding neurological disorders.