Hierarchical organisation and genetically separable subfamilies of PSD95 postsynaptic supercomplexes

René A W Frank, Fei Zhu, Noboru H Komiyama, Seth G N Grant

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Abstract / Description of output

PSD95 is an abundant postsynaptic scaffold protein in glutamatergic synapses that assembles into supercomplexes composed of over 80 proteins including neurotransmitter receptors, ion channels and adhesion proteins. How these diverse constituents are organised into PSD95 supercomplexes in vivo is poorly understood. Here we dissected the supercomplexes in mice combining endogenous gene-tagging, targeted mutations and quantitative biochemical assays. Generating compound heterozygous mice from two different gene-tags, one on each Psd95 allele, showed that each ~1.5 MDa PSD95-containing supercomplex contains on average two PSD95 molecules. Gene-tagging the endogenous GluN1 and PSD95 with identical Flag tags revealed N-methyl D-aspartic acid receptors (NMDARs) containing supercomplexes represent only 3% of the total population of PSD95 supercomplexes, suggesting there are many other subtypes. To determine whether this extended population of different PSD95 supercomplexes use genetically-defined mechanisms to specify their assembly, we tested the effect of 5 targeted mouse mutations on the assembly of known PSD95 interactors, Kir2.3, Arc, IQsec2/BRAG1 and Adam22. Unexpectedly, some mutations were highly selective, whereas others caused widespread disruption, indicating that PSD95 interacting proteins are organised hierarchically into distinct subfamilies of ~1.5 MDa supercomplexes, including a subpopulation of Kir2.3-NMDAR ion channel-channel supercomplexes. Kir2.3-NMDAR ion channel-channel supercomplexes were found to be anatomically restricted to particular brain regions. These data provide new insight into the mechanisms that govern the constituents of postsynaptic supercomplexes and the diversity of synapse types. This article is protected by copyright. All rights reserved.

Original languageEnglish
JournalJournal of Neurochemistry
Early online date28 Apr 2017
Publication statusE-pub ahead of print - 28 Apr 2017

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