Transcriptomic Analysis of the Hippocampus from Six Inbred Strains of Mice Suggests Basis for Sex-Specific Susceptibility and Severity of Neurological Disorders
Transcriptomics Dataset
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General Information
AccessionGSE76567
TitleTranscriptomic Analysis of the Hippocampus from Six Inbred Strains of Mice Suggests Basis for Sex-Specific Susceptibility and Severity of Neurological Disorders
DescriptionIdentifying sex differences in gene expression within the brain is critical for determining why multiple neurological and behavioral disorders differentially affect males and females. Several are more common or severe in males (e.g., autism and schizophrenia) or females (e.g., Alzheimers disease and depression). We analyzed transcriptomic data from the mouse hippocampus of six inbred strains (129S1/SvImJ, A/J, C57BL/6J, DBA/1J, DBA/2J and PWD/Ph), to provide a perspective on differences between male and female gene expression. Our data show that: 1) significant gene expression differences in males versus females varies substantially across the strains, 2) 12 genes exist that are differentially expressed across the inbred strains (termed core genes), and 3) there are >2,600 significantly differentially expressed genes (DEGs) among the strains (termed non-core genes). We found that DBA/2J uniquely has a substantial majority (89%%) of DEGs that are more highly expressed in females than males; 129/SvImJ is the most strongly male-biased with a majority (69%%) of DEGs that are more highly expressed in males. To gain insight into the sex-biased DEGs, we examined gene ontology, pathway and phenotype enrichment and found significant enrichment in phenotypes related to abnormal nervous system morphology and physiology, among others. In addition, several pathways are enriched significantly, including Alzheimers disease (AD), with 32 genes implicated in AD, 8 of which are male-biased. Three of the male-biased genes have been implicated in a neuroprotective role in AD. Our transcriptomic data provide new insight into understanding the possible genetic bases for sex-specific susceptibility and severity of brain disorders.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76567
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
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Interactive heatmap visualization of RNA-seq dataset GSE76567
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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