Informatics Report Series



Related Pages

Report (by Number) Index
Report (by Date) Index
Author Index
Institute Index

Title:Evolutionary expansion and anatomical specialization of synapse proteome complexity
Authors: RD Emes ; Andrew Pocklington ; CN Anderson ; A Bayes ; MO Collins ; CA Vickers ; Bilal Malik ; JS Choudhary ; Douglas Armstrong ; SG Grant
Date:Jul 2008
Publication Title:Nature Neuroscience
Publication Type:Journal Article Publication Status:Published
Volume No:11 Page Nos:799-806
Understanding the origins and evolution of synapses may provide insight into species diversity and the organization of the brain. Using comparative proteomics and genomics, we examined the evolution of the postsynaptic density (PSD) and membrane-associated guanylate kinase (MAGUK)-associated signaling complexes (MASCs) that underlie learning and memory. PSD and MASC orthologs found in yeast carry out basic cellular functions to regulate protein synthesis and structural plasticity. We observed marked changes in signaling complexity at the yeast-metazoan and invertebrate-vertebrate boundaries, with an expansion of key synaptic components, notably receptors, adhesion/cytoskeletal proteins and scaffold proteins. A proteomic comparison of Drosophila and mouse MASCs revealed species-specific adaptation with greater signaling complexity in mouse. Although synaptic components were conserved amongst diverse vertebrate species, mapping mRNA and protein expression in the mouse brain showed that vertebrate-specific components preferentially contributed to differences between brain regions. We propose that the evolution of synapse complexity around a core proto-synapse has contributed to invertebrate-vertebrate differences and to brain specialization.
Links To Paper
1st Link
Bibtex format
author = { RD Emes and Andrew Pocklington and CN Anderson and A Bayes and MO Collins and CA Vickers and Bilal Malik and JS Choudhary and Douglas Armstrong and SG Grant },
title = {Evolutionary expansion and anatomical specialization of synapse proteome complexity},
journal = {Nature Neuroscience},
year = 2008,
month = {Jul},
volume = {11},
pages = {799-806},
doi = {10.1038/nn.2135},
url = {},

Home : Publications : Report 

Please mail <> with any changes or corrections.
Unless explicitly stated otherwise, all material is copyright The University of Edinburgh