Single Cell Analysis Reveals Unexpected Transcriptional Heterogeneity of Neural Progenitors in the Developing Human Cortex
Transcriptomics Dataset
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General Information
AccessionGSE66217
TitleSingle Cell Analysis Reveals Unexpected Transcriptional Heterogeneity of Neural Progenitors in the Developing Human Cortex
DescriptionThe human cerebral cortex depends for its normal development and size on a precisely controlled balance between self-renewal and differentiation of diverse neural progenitor cells. Specialized progenitors that are common in humans, but virtually absent in rodents, called outer radial glia (ORG), have been suggested to be crucial to the evolutionary expansion of the human cortex. We combined cell type-specific sorting with transcriptome-wide RNA-sequencing to identify genes enriched in human ORG, including targets of the transcription factor Neurogenin, and previously uncharacterized, evolutionarily dynamic, long noncoding RNAs. Single-cell transcriptional profiling of human, ferret, and mouse progenitors showed that more human RGC co-express proneural Neurogenin targets than in ferret or mouse, suggesting greater self-renewal of neuronal lineage-committed progenitors in humans. Finally, we show that activating the Neurogenin pathway in ferret RGC promotes delamination and outward migration. Thus, we find that the abundance of human ORG is paralleled by increased transcriptional heterogeneity of cortical progenitors.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE66217
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 GSE66217
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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