4.4 Article

Array tomography of physiologically-characterized CNS synapses

Journal

JOURNAL OF NEUROSCIENCE METHODS
Volume 268, Issue -, Pages 43-52

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2016.04.017

Keywords

Synapses; Synaptic transmission; Hippocampus; Array tomography; Paired recording

Funding

  1. Stanford University School of Medicine Faculty Innovation Fund
  2. National Institute of Mental Health [MH065541]
  3. Harold and Leila Y Mathers Charitable Foundation

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Background: The ability to correlate plastic changes in synaptic physiology with changes in synaptic anatomy has been very limited in the central nervous system because of shortcomings in existing methods for recording the activity of specific CNS synapses and then identifying and studying the same individual synapses on an anatomical level. New method: We introduce here a novel approach that combines two existing methods: paired neuron electrophysiological recording and array tomography, allowing for the detailed molecular and anatomical study of synapses with known physiological properties. Results: The complete mapping of a neuronal pair allows determining the exact number of synapses in the pair and their location. We have found that the majority of close appositions between the presynaptic axon and the postsynaptic dendrite in the pair contain synaptic specializations. The average release probability of the synapses between the two neurons in the pair is low, below 0.2, consistent with previous studies of these connections. Other questions, such as receptor distribution within synapses, can be addressed more efficiently by identifying only a subset of synapses using targeted partial reconstructions. In addition, time sensitive events can be captured with fast chemical fixation. Comparison with existing methods: Compared to existing methods, the present approach is the only one that can provide detailed molecular and anatomical information of electrophysiologically-characterized individual synapses. Conclusions: This method will allow for addressing specific questions about the properties of identified CNS synapses, even when they are buried within a cloud of millions of other brain circuit elements. (C) 2016 Published by Elsevier B.V.

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