Misregulation of an activity-dependent splicing network as a common mechanism underlying autism spectrum disorders
Transcriptomics Dataset
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General Information
AccessionGSE89984
TitleMisregulation of an activity-dependent splicing network as a common mechanism underlying autism spectrum disorders
DescriptionA key challenge in understanding and ultimately treating autism is to identify common molecular mechanisms underlying this genetically heterogeneous disorder. Transcriptomic profiling of autistic brains has revealed correlated misregulation of the neuronal splicing regulator nSR100/SRRM4 and its target microexon splicing program in more than one-third of analyzed individuals. To investigate whether nSR100 misregulation is causally linked to autism, we generated mutant mice with reduced levels of this protein and its target splicing program. Remarkably, these mice display multiple hallmark features of autism, including altered social behaviors, synaptic density and signaling. Moreover, increased neuronal activity, which is often associated with autism, results in a rapid decrease in nSR100 and splicing of microexons that significantly overlap those misregulated in autistic brains. Collectively, our results provide evidence that misregulation of an nSR100-dependent splicing network controlled by changes in neuronal activity is causally linked to a substantial fraction of autism cases.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89984
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE89984
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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