Architecture of the Mouse Brain Synaptome

Fei Zhu, Mélissa Cizeron, Zhen Qiu, Ruth Benavides-Piccione, Maksym V. Kopanitsa, Nathan G. Skene, Babis Koniaris, Javier DeFelipe, Erik Fransén, Noboru H. Komiyama, Seth G.N. Grant (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

140 Citations (Scopus)
59 Downloads (Pure)

Abstract

Synapses are found in vast numbers in the brain and contain complex proteomes. We developed genetic labeling and imaging methods to examine synaptic proteins in individual excitatory synapses across all regions of the mouse brain. Synapse catalogs were generated from the molecular and morphological features of a billion synapses. Each synapse subtype showed a unique anatomical distribution, and each brain region showed a distinct signature of synapse subtypes. Whole-brain synaptome cartography revealed spatial architecture from dendritic to global systems levels and previously unknown anatomical features. Synaptome mapping of circuits showed correspondence between synapse diversity and structural and functional connectomes. Behaviorally relevant patterns of neuronal activity trigger spatiotemporal postsynaptic responses sensitive to the structure of synaptome maps. Areas controlling higher cognitive function contain the greatest synapse diversity, and mutations causing cognitive disorders reorganized synaptome maps. Synaptome technology and resources have wide-ranging application in studies of the normal and diseased brain.
Original languageEnglish
Pages (from-to)781-799.e10
JournalNeuron
Volume99
Issue number4
Early online date2 Aug 2018
DOIs
Publication statusPublished - 22 Aug 2018

Keywords

  • synaptome
  • synaptomic
  • synapse diversity
  • synaptic proteins
  • synapse proteome
  • connectome
  • PSD95
  • SAP102
  • machine learning
  • mutation

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