Single-cell transcriptomics reveals unique features of human pancreatic islet cell subtypes
Transcriptomics Dataset
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General Information
AccessionGSE73727
TitleSingle-cell transcriptomics reveals unique features of human pancreatic islet cell subtypes
DescriptionWe report the single-cell RNA-seq based identification of 6 known human islet cell types (alpha cells, beta cells, delta cells, pp cells, acinar cells and duct cells) based on the expression of known marker genes. We further assess cell type specific gene expression and suggest novel marker genes for several cell types.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73727
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
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE73727
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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