Comparative Study of Human and Mouse Postsynaptic Proteomes Finds High Compositional Conservation and Abundance Differences for Key Synaptic Proteins
Bayés, Àlex (Institut d'Investigació Biomèdica Sant Pau)
Collins, Mark O. (Wellcome Trust Sanger Institute (Regne Unit))
Croning, Mike D.R. (University of Edinburgh)
van de Lagemaat, Louie N. (University of Edinburgh)
Choudhary, Jyoti S. (Wellcome Trust Sanger Institute (Regne Unit))
Grant, Seth G.N. (University of Edinburgh)
Universitat Autònoma de Barcelona

Fecha:	2012
Resumen:	Direct comparison of protein components from human and mouse excitatory synapses is important for determining the suitability of mice as models of human brain disease and to understand the evolution of the mammalian brain. The postsynaptic density is a highly complex set of proteins organized into molecular networks that play a central role in behavior and disease. We report the first direct comparison of the proteome of triplicate isolates of mouse and human cortical postsynaptic densities. The mouse postsynaptic density comprised 1556 proteins and the human one 1461. A large compositional overlap was observed; more than 70% of human postsynaptic density proteins were also observed in the mouse postsynaptic density. Quantitative analysis of postsynaptic density components in both species indicates a broadly similar profile of abundance but also shows that there is higher abundance variation between species than within species. Well known components of this synaptic structure are generally more abundant in the mouse postsynaptic density. Significant inter-species abundance differences exist in some families of key postsynaptic density proteins including glutamatergic neurotransmitter receptors and adaptor proteins. Furthermore, we have identified a closely interacting set of molecules enriched in the human postsynaptic density that could be involved in dendrite and spine structural plasticity. Understanding synapse proteome diversity within and between species will be important to further our understanding of brain complexity and disease. © 2012 Bayés et al.
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Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Publicado en:	PloS one, Vol. 7 Núm. 10 (may 2012) , p. e46683, ISSN 1932-6203

DOI: 10.1371/journal.pone.0046683
PMID: 23071613

13 p, 820.1 KB

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