RNA-sequencing analysis of NGN3-GFP positive and negative cells purified from differentiating human embryonic stem cells
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE54879
TitleRNA-sequencing analysis of NGN3-GFP positive and negative cells purified from differentiating human embryonic stem cells
DescriptionNGN3-eGFP could be used to mark endocrine progenitor cells and their progeny in differentiating hESCs, suggesting that profiling analysis of NGN3-eGFP+ cells could lead to the discovery of novel gene participation. Six batches of NGN3-eGFP+ and NGN3-eGFP -cells purified by FACS from a reporter hES cell line cell cultures at stage 4 were pooled together, respectively. RNA-seq-based analysis of the two cell fractions identified a total of 3976 differentially expressed genes (P-value<0.05; Fold >2), of which 72%% are enriched in NGN3-GFP+ cells. As expected, all the genes expressed in pancreatic progenitor cells are enriched in NGN3-eGFP-cells; while all endocrine-associated genes are enriched in NGN3-eGFP+ cells. Among the 3976 genes, 195 have potential transcriptional factor activity and 453 are potential non-coding RNA genes, most of which have not been well investigated in pancreatic endocrine cells. The gene ontology term integral to membrane GO: 0016021 identified 1003 differentially expressed genes that encoded ion channels, adhesion molecules and transporters.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE54879
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 GSE54879
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.