A sex difference in the composition of the rodent postsynaptic density
Mastro, T. L.; Preza, A.; Basu, S.; Chattarji, S.; Till, S. M.; Kind, P. C.; Kennedy, M. B.
Show abstract
SynGAP is a postsynaptic density (PSD) protein that binds to PDZ domains of the scaffold protein PSD-95. We previously reported that heterozygous deletion of synGAP in mice is correlated with increased steady-state levels of other key PSD proteins that bind PSD-95, although the level of PSD-95 remains constant (Walkup et al., 2016). For example, the ratio to PSD-95 of Transmembrane AMPA-Receptor-associated Proteins (TARPs), which mediate binding of AMPA-type glutamate receptors to PSD-95, was increased in young synGAP+/- mice. Here we show that a highly significant increase in TARP in the PSDs of young synGAP+/- rodents is present only in females and not in males. The data reveal a sex difference in the adaptation of the PSD scaffold to synGAP heterozygosity.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Increased neuronal expression of the early endosomal adaptor APPL1 replicates Alzheimer's Disease-related endosomal and synaptic dysfunction with cholinergic neurodegeneration 94%
- Loss of Piccolo function in rats induces Pontocerebellar Hypoplasia type 3-like phenotypes 94%
- The amyloid precursor protein regulates synaptic transmission at medial perforant path synapses 94%
Similar papers in this journal
Similar papers in this journal
- SynGAP Splice Variants Display Heterogeneous Spatio-Temporal Expression And Subcellular Distribution In The Developing Mammalian Brain 96%
- Troriluzole Rescues Glutamatergic Deficits, Amyloid and Tau Pathology, and Synaptic and Memory Impairments in 3xTg-AD Mice 94%
- Phosphorylation-dependent control of Arc protein by synaptic plasticity regulator TNIK 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.