Synapse biology in the ‘circuit-age’—paths toward molecular connectomics
Current Opinion in Neurobiology. 2017-02-01; 42: 102-110
DOI: 10.1016/j.conb.2016.12.004
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1. Curr Opin Neurobiol. 2017 Feb;42:102-110. doi: 10.1016/j.conb.2016.12.004. Epub
2016 Dec 26.
Synapse biology in the ‘circuit-age’-paths toward molecular connectomics.
Schreiner D(1), Savas JN(2), Herzog E(3), Brose N(4), de Wit J(5).
Author information:
(1)Biozentrum, University of Basel, Klingelbergstraße 50-70, 4056 Basel,
Switzerland; Institute of Neuroanatomy and Cell Biology, Hannover Medical School,
Carl-Neuberg-Straße 1, 30625 Hannover, Germany.
(2)Department of Neurology, Northwestern University, Feinberg School of Medicine,
303 East Chicago Avenue, Chicago, IL 60611, USA.
(3)Univ. Bordeaux, IINS, UMR 5297, F-33000 Bordeaux, France; CNRS, IINS, UMR
5297, F-33000 Bordeaux, France.
(4)Department of Molecular Neurobiology, Max Planck Institute of Experimental
Medicine, Hermann-Rein-Straße 3, 37075 Göttingen, Germany.
(5)VIB Center for Brain and Disease Research, Herestraat 49, 3000 Leuven,
Belgium; Department of Neurosciences, KU Leuven, Herestraat 49, 3000 Leuven,
Belgium. Electronic address: .
The neural connectome is a critical determinant of brain function. Circuits of
precisely wired neurons, and the features of transmission at the synapses
connecting them, are thought to dictate information processing in the brain.
While recent technological advances now allow to define the anatomical and
functional neural connectome at unprecedented resolution, the elucidation of the
molecular mechanisms that establish the precise patterns of connectivity and the
functional characteristics of synapses has remained challenging. Here, we
describe the power and limitations of genetic approaches in the analysis of
mechanisms that control synaptic connectivity and function, and discuss how
recent methodological developments in proteomics might be used to elucidate the
molecular synaptic connectome that is at the basis of the neural connectome.
Copyright © 2016 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.conb.2016.12.004
PMCID: PMC5316339
PMID: 28033531 [Indexed for MEDLINE]