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Engineering cortical neuron polarity with nanomagnets on a chip
Anja Kunze1, Peter Tseng1, Chanya Godzich1
1†Department of Bioengineering, ‡California NanoSystems Institute, and §Department of Neurobiology, University of California, Los Angeles, California 90095, United States.
ACS Nano
|March 25, 2015
Summary
Mechanical forces applied via nanomagnets influence neuronal tau protein distribution and cell behavior. This research offers new insights into neural network engineering and potential neurotherapeutics for disordered brain circuits.
Area of Science:
- Neuroscience
- Biophysics
- Cell Biology
Background:
- Cell polarity is crucial for developing functional tissues and organs, with misoriented neurons causing neurological disorders.
- Mechanical stimuli, including external forces and intracellular signals, influence nervous system development and axonal outgrowth.
- The precise role of mechanical signals in single-cell polarity remains incompletely understood.
Purpose of the Study:
- To investigate the impact of precisely controlled mechanical forces on neuronal polarity and intracellular organization.
- To quantify the effects of nanoparticle-mediated forces on the neuronal cytoskeleton, specifically tau protein distribution.
- To explore the potential for mechanical manipulation of neural networks and development of neurotherapeutics.
Main Methods:
- Utilized a chip-based system with highly parallelized nanomagnets to apply local mechanical stimuli to cortical neurons.
- Quantified the effect of nanoparticle-mediated forces on intracellular tau distribution, independent of nanoparticle uptake.
- Applied forces ranging from picoNewtons (pN) to hundreds of pN to single neurons and cell clusters.
Main Results:
- Forces between 4.5-70 pN induced tau distribution in single neurons that opposed surface pattern cues.
- In cell clusters, forces of 190-270 pN caused tau repositioning.
- Cell displacement directed by magnetic fields was observed at forces exceeding 300 pN.
Conclusions:
- Mechanical forces can override surface cues in directing tau distribution in neurons.
- Specific force ranges can induce cytoskeletal changes and cell displacement in neural networks.
- Findings support the development of mechanical encoding for neural networks and novel neurotherapeutic strategies.

