Principles governing DNA methylation during neural lineage and subtype specification
Transcriptomics Dataset
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General Information
AccessionGSE72700
TitlePrinciples governing DNA methylation during neural lineage and subtype specification
DescriptionDNA methylation, in concert with other epigenetic regulators, controls the accessibility of transcription factors to DNA. While comprehensively described in the development of neuronal progenitors, the role of DNA methylation/demethylation in neuronal lineage/subtype specification is not known. By profiling two distinct neuronal lineages, and five neuron subtypes in the hippocampus and striatum, we uncovered a set of five principles that govern DNA methylation dynamics in neurodevelopment. By dividing neurodevelopment to three alternating methylation and demethylation periods and applying the principles to each of these stages, we created a matrix that comprehensively describes the targets, genomic contexts, functional consequences and putative mechanisms of methylation/demethylation events. The overarching theme is that the developmental methylation program is remarkably similar in the hippocampal and striatal lineages, with significant divergence only occurring during subtype specification. Our matrix can be cross-referenced with disease-associated epigenetic changes to specify the possible events and underlying principles compromised in disease.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72700
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 GSE72700
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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