Next Generation Sequencing Facilitates Quantitative Analysis of Human Primary and Pluripotent Stem Cell-Derived Epicardial Cell Transcriptomes
Transcriptomics Dataset
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General Information
AccessionGSE84085
TitleNext Generation Sequencing Facilitates Quantitative Analysis of Human Primary and Pluripotent Stem Cell-Derived Epicardial Cell Transcriptomes
DescriptionNext-generation sequencing (NGS) has significantly advanced the elucidation of developmental signaling mechanisms that are important for different cell lineage formation from human pluripotent stem cells (hPSCs). We report here the application of RNA-sequencing technology for transcriptome profile of human primary and hPSC-derived epicardial cell, and compare to those of other cell lineages including hPSCs, mesoderm, cardiomcyotyes. Eight epicaridal cell samples from four different hPSC lines and four different donors were performed in IIIumina HiSeq2500. The resulting sequence reads (about 20 million reads per sample) were mapped to human genome (hg19) using HISAT, and the RefSeq transcript levels (RPKMs) were quantified using the python script rpkmforgenes.py. Our RNA-seq data confirmed the stable expression of key epicardial cell markers including WT1, TBX18, TCF21, ALDH1A2 and ZO1, and the gene set enrichment analysis (GSEA) showed enrichment in extracellular matrix related pathways and keratinocyte (epithelial) differentiation. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to epicardial function. This study represents the first detailed analysis of epicardial transcriptomes generated by RNA-seq technology, providing insight into the mechanisms underlying the differentiation of hPSCs into epicardial cells.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE84085
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 GSE84085
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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