ArticleJournal of neuroscience methods2016
Array tomography of physiologically-characterized CNS synapses.
Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Bringing synapses into focus: Recent advances in synaptic imaging and mass-spectrometry for studying synaptopathy.Frontiers in synaptic neuroscience · 2023Review
- Array tomography: 15 years of synaptic analysis.Neuronal signaling · 2022Article
- A High-Resolution Method for Quantitative Molecular Analysis of Functionally Characterized Individual Synapses.Cell reports · 2020Article
- Q&A: Array tomography.BMC biology · 2018Article
- Design and implementation of multi-signal and time-varying neural reconstructions.Scientific data · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe 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
methodWe 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.
resultsThe 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
methodsCompared to existing methods, the present approach is the only one that can provide detailed molecular and anatomical information of electrophysiologically-characterized individual synapses.
conclusionsThis 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.
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Registered trials
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