Zhu, F;
Cizeron, M;
Qiu, Z;
Benavides-Piccione, R;
Kopanitsa, MV;
Skene, NG;
Koniaris, B;
... Grant, SGN; + view all
(2018)
Architecture of the Mouse Brain Synaptome.
Neuron
, 99
(4)
781-799.e10.
10.1016/j.neuron.2018.07.007.
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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.
Type: | Article |
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Title: | Architecture of the Mouse Brain Synaptome |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.neuron.2018.07.007 |
Publisher version: | https://doi.org/10.1016/j.neuron.2018.07.007 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neurosciences & Neurology, LONG-TERM POTENTIATION, SMALL-WORLD NETWORKS, POSTSYNAPTIC DENSITY, PROTEOMIC ANALYSIS, HIPPOCAMPAL SLICES, NMDA RECEPTORS, MASS-SPECTROMETRY, SYNAPSES, PROTEIN, PLASTICITY |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/10057187 |
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