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Interactions between planar grafted neurofilament side-arms.

Mark J Stevens1, Jan H Hoh

  • 1Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87185-1315, USA. msteve@sandia.gov

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Neurofilament (NF) side-arms, modeled as polymer brushes, exhibit repulsion modulating spacing. Simulations reveal scaling behavior and polyampholyte characteristics, suggesting interdigitation in condensed states.

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Area of Science:

  • Biophysics
  • Computational Neuroscience
  • Materials Science

Background:

  • Neurofilaments (NFs) are key neuronal structural proteins.
  • Their disordered side-arms are hypothesized to control interfilament spacing via repulsion.
  • Understanding this behavior is crucial for neuronal development and disease.

Purpose of the Study:

  • To characterize the behavior of interacting neurofilament brushes.
  • To investigate the role of different neurofilament components (NF-L, NF-M, NF-HP) in modulating spacing.
  • To compare simulation results with experimental observations of neurofilament gel states.

Main Methods:

  • Molecular dynamics simulations using a coarse-grained model.
  • Simulating individual neurofilament components (NF-L, NF-M, NF-HP) grafted to surfaces.
  • Analyzing force-separation curves and structural properties (brush height, end-to-end distance, interpenetration).

Main Results:

  • Force-separation curves resemble polyelectrolyte brushes at high salt concentrations.
  • All three neurofilament types showed similar scaling behavior, suggesting polyampholyte characteristics beyond simple polyelectrolytes.
  • Weak correlations between oppositely charged residues in opposing brushes were observed.

Conclusions:

  • Neurofilament side-arm interactions can be partly explained by polyelectrolyte theory but exhibit distinct polyampholyte behavior.
  • The condensed gel state likely involves significant interdigitation of neurofilament side-arms.
  • These findings provide insights into neurofilament organization and its implications for neuronal structure.