RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
AccessionGSE81608
TitleRNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
DescriptionPancreatic islet cells are critical for maintaining normal blood glucose levels and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic -, -, - and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell type specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92%% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human - and -cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81608
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
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
Canned Analyses generated with the dataset
Filters  
Dataset Accession
Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE81608
ARCHS4, Clustergrammer
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.