Global gene expression analysis of Dot1l-deficient and control intestinal villus cells in mouse
Transcriptomics Dataset
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General Information
AccessionGSE41710
TitleGlobal gene expression analysis of Dot1l-deficient and control intestinal villus cells in mouse
DescriptionMethylation of H3K79 is associated with chromatin at expressed genes, though it is unclear if this histone modification is required for transcription of all genes. Recent studies suggest that Wnt-responsive genes depend particularly on H3K79 methylation, which is catalyzed by the methyltransferase DOT1L. Human leukemias carrying MLL gene rearrangements show DOT1L-mediated H3K79 methylation and aberrant expression of leukemogenic genes. DOT1L inhibitors reverse these effects but their clinical use is potentially limited by toxicity in Wnt-dependent tissues such as intestinal epithelium. Genome-wide positioning of the H3K79me2 mark in Lgr5+ mouse intestinal stem cells and mature intestinal villus epithelium correlated with mRNA expression levels but not with Wnt-responsive genes per se. Selective Dot1l disruption in Lgr5+ stem cells or in all intestinal epithelial cells eliminated H3K79me2 from the respective compartments, allowing genetic evaluation of DOT1L requirements. Absence of methylated H3K79 did not impair health, intestinal homeostasis or expression of Wnt target genes in crypt epithelium for up to 4 months, despite increased crypt cell apoptosis. Global transcript profiles in Dot1l-null cells were barely altered. Thus, H3K79 methylation is not essential for transcription of Wnt-responsive or other intestinal genes and intestinal toxicity is not imperative when DOT1L is rendered inactive in vivo.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41710
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 GSE41710
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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