Clustering the autisms using glutamate synapse protein interaction networks from cortical and hippocampal tissue of seven mouse models.

ABSTRACT:

Background

Autism spectrum disorders (ASDs) are a heterogeneous group of behaviorally defined disorders and are associated with hundreds of rare genetic mutations and several environmental risk factors. Mouse models of specific risk factors have been successful in identifying molecular mechanisms associated with a given factor. However, comparisons among different models to elucidate underlying common pathways or to define clusters of biologically relevant disease subtypes have been complicated by different methodological approaches or different brain regions examined by the labs that developed each model. Here, we use a novel proteomic technique, quantitative multiplex co-immunoprecipitation or QMI, to make a series of identical measurements of a synaptic protein interaction netwo

SUBMITTER: Brown EA 

PROVIDER: S-EPMC6139139 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature