Cerebellar RNA-Seq from ATXN1 Transgenic Mice Reveals SCA1 Disease Progression and Protection Pathways
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE75778
TitleCerebellar RNA-Seq from ATXN1 Transgenic Mice Reveals SCA1 Disease Progression and Protection Pathways
DescriptionSCA1, a fatal neurodegenerative disorder, is caused by a CAG expansion encoding a polyglutamine stretch in the protein ATXN1. We used RNA-seq to profile cerebellar RNA expression in ATXN1 mice, including lines with ataxia and progressive pathology and lines having ataxia in absence of Purkinje cell progressive pathology. Weighted Gene Coexpression Network Analysis of the cerebellar RNA-seq data revealed two gene networks that significantly correlated with disease, the Magenta (342 genes) and Light Yellow (35 genes) Modules. Features of the Magenta and Light Yellow Modules indicate they reflect distinctive pathways. The Magenta Module provides a description of suppressed transcriptional programs reflecting disease progression in Purkinje cells, while the Lt Yellow Module reflects other transcriptional programs activated in response to disease in Purkinje cells as well as other cerebellar cell types. We also found that up-regulation of cholecystokinin (Cck) blocked progression of Purkinje cell pathology and that loss of Cck function in mice lacking progressive disease enabled Purkinje cell pathology to progress to cell death.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75778
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 GSE75778
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.