CORTECON: A Temporal Transcriptome Analysis of In Vitro Human Cerebral Cortex Development From Human Embryonic Stem Cells
Transcriptomics Dataset
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General Information
AccessionGSE56796
TitleCORTECON: A Temporal Transcriptome Analysis of In Vitro Human Cerebral Cortex Development From Human Embryonic Stem Cells
DescriptionMany neurological and psychiatric disorders affect the cerebral cortex, and a clearer understanding of the molecular processes underlying human corticogenesis will provide greater insight into such pathologies. To date, knowledge of gene expression changes accompanying corticogenesis is largely based on murine data. Here we present a searchable, comprehensive, temporal gene expression dataset encompassing cerebral cortical development from human embryonic stem cells (hESCs). Using a modified differentiation protocol and RNA-Seq technology with computational analysis, we identified sets of genes and long non-coding RNAs that significantly change during corticogenesis, and those enriched for disease-associations. Numerous alternatively-spliced genes with varying temporal patterns of expression are revealed, including TGIF1, involved in holoprosencephaly and MARK1, involved in autism. We have created a database (http://cortecon.neuralsci.org) that provides online, query-based access to changes in RNA expression and alternatively spliced transcripts during human cortical development.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56796
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 GSE56796
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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