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Nanoscale Structural Plasticity of the Active Zone Matrix Modulates Presynaptic Function.

Oleg O Glebov1, Rachel E Jackson2, Christian M Winterflood3

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Neuronal activity dynamically regulates the active zone (AZ) matrix structure in presynaptic terminals. This modulation impacts voltage-gated calcium channels and vesicle release, suggesting a homeostatic mechanism for synaptic function.

Keywords:
super-resolution microscopysynaptic plasticity

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Area of Science:

  • Neuroscience
  • Cell Biology
  • Biophysics

Background:

  • The presynaptic active zone (AZ) matrix is crucial for coordinating calcium channels and vesicles for neurotransmitter release.
  • The precise nanoscale organization of the AZ and its role in vesicle fusion are not fully understood.

Purpose of the Study:

  • To visualize the nanoscale structure of the AZ and its components.
  • To investigate how neuronal activity influences AZ organization and presynaptic function.
  • To elucidate the role of the AZ matrix clustering in regulating synaptic transmission.

Main Methods:

  • Utilized super-resolution microscopy and ratiometric imaging to achieve nanoscale visualization of the AZ.
  • Manipulated neuronal activity through long-term blockade and patterned optogenetic stimulation.
  • Investigated the effects of actin depolymerization on AZ structure and function.

Main Results:

  • Revealed nanoscale segregation between the AZ matrix, voltage-gated calcium channels (VGCCs), and release sites.
  • Demonstrated that long-term activity blockade causes AZ matrix unclustering and actin depolymerization, enhancing AZ machinery.
  • Showed that optogenetic stimulation enhances AZ clustering, which inversely correlates with VGCC recruitment and vesicle cycling.
  • Acute actin depolymerization rapidly unclusters the AZ matrix.

Conclusions:

  • Neuronal activity dynamically modulates the clustering state of the AZ matrix.
  • AZ matrix clustering plays a homeostatic role in regulating presynaptic function by altering VGCC recruitment and vesicle cycling.
  • Propose a model where activity-dependent AZ matrix clustering controls synaptic transmission efficiency.