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Comparative Study of Human and Mouse Postsynaptic Proteomes Finds High Compositional Conservation and Abundance Differences for Key Synaptic Proteins

Overview of attention for article published in PLOS ONE, October 2012
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Title
Comparative Study of Human and Mouse Postsynaptic Proteomes Finds High Compositional Conservation and Abundance Differences for Key Synaptic Proteins
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046683
Pubmed ID
Authors

Àlex Bayés, Mark O. Collins, Mike D. R. Croning, Louie N. van de Lagemaat, Jyoti S. Choudhary, Seth G. N. Grant

Abstract

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.

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Geographical breakdown

Country Count As %
United Kingdom 3 1%
Netherlands 2 <1%
Australia 1 <1%
Unknown 198 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 28%
Researcher 37 18%
Student > Master 26 13%
Student > Bachelor 18 9%
Professor 10 5%
Other 27 13%
Unknown 29 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 31%
Neuroscience 48 24%
Biochemistry, Genetics and Molecular Biology 26 13%
Medicine and Dentistry 9 4%
Computer Science 7 3%
Other 12 6%
Unknown 38 19%