4.7 Article

Cell-specific STORM super-resolution imaging reveals nanoscale organization of cannabinoid signaling

Journal

NATURE NEUROSCIENCE
Volume 18, Issue 1, Pages 75-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.3892

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Funding

  1. European Research Council [243153]
  2. Momentum Program of the Hungarian Academy of Sciences [LP2013-54/2013]
  3. Hungarian Academy of Sciences Equipment Grant [IF-22/2012]
  4. Wellcome Trust International Senior Research Fellowship [090946/Z/09/Z]
  5. US National Institutes of Health [NS74432]
  6. Italian Ministry of University [200928EEX4]
  7. Fondazione Banco di Sardegna
  8. European Research Council (ERC) [243153] Funding Source: European Research Council (ERC)
  9. Wellcome Trust [090946/Z/09/Z] Funding Source: Wellcome Trust

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A major challenge in neuroscience is to determine the nanoscale position and quantity of signaling molecules in a cell type- and subcellular compartment-specific manner. We developed a new approach to this problem by combining cell-specific physiological and anatomical characterization with super-resolution imaging and studied the molecular and structural parameters shaping the physiological properties of synaptic endocannabinoid signaling in the mouse hippocampus. We found that axon terminals of perisomatically projecting GABAergic interneurons possessed increased CB1 receptor number, active-zone complexity and receptor/effector ratio compared with dendritically projecting interneurons, consistent with higher efficiency of cannabinoid signaling at somatic versus dendritic synapses. Furthermore, chronic Delta(9)-tetrahydrocannabinol administration, which reduces cannabinoid efficacy on GABA release, evoked marked CB1 downregulation in a dose-dependent manner. Full receptor recovery required several weeks after the cessation of Delta(9)-tetrahydrocannabinol treatment. These findings indicate that cell type-specific nanoscale analysis of endogenous protein distribution is possible in brain circuits and identify previously unknown molecular properties controlling endocannabinoid signaling and cannabis-induced cognitive dysfunction.

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