Fixed single-cell transcriptomic characterization of human radial glial diversity
Transcriptomics Dataset
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General Information
AccessionGSE71858
TitleFixed single-cell transcriptomic characterization of human radial glial diversity
DescriptionThe human neocortex is created from diverse progenitors that are intermixed with multiple cell types in the prenatal germinal zones. These progenitors have been difficult to profile with unbiased transcriptomics since progenitors-particularly radial glia (RG)-are rare cell types, defined by a combination of intracellular markers, position and morphology. To circumvent these problems, we developed a method called FRSCR for transcriptome profiling of individual fixed, stained, and sorted cells. After validation of FRSCR with human embryonic stem cells, we profiled primary human RG that constitute only 1%% of the mid-gestation cortex. These data showed that RG could be classified into ventricle zone-enriched RG (vRG) that expressed ANXA1 and CRYAB, and outer subventricular zone-localized RG (oRG) that expressed HOPX. Our study identified the first markers and molecular profiles of vRG and oRG cells, and provides an essential step for understanding molecular networks that control the development and lineage of human neocortical progenitors. Furthermore, FRSCR allows targeted single-cell transcriptomic profiling of many tissues that currently lack live-cell markers.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71858
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 GSE71858
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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