TitleSingle-cell transcriptomics of East-Asian pancreatic islets cells
Data descriptionSingle-cell RNA-seq of 448 human islet cell
Doi10.1038/s41598-017-05266-4(Mitchell et al., 2016)
Web-link of the paperhttp://www.nature.com/articles/s41598-017-05266-4#Sec14
Data typescRNA-seq
DatabaseGene Expression Omnibus (GEO)
Accession numberGSE97655
URL of the datahttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=%20GSE97655
Specieshuman
Tissuepancreatic islets
Cell typeislet cell
Number of cells448 islet-cells
Cell capture platformFluidigm C1
Library preparation protocolSMARTer
Unique molecular identifier (Y/N)N
Spike-in (Y/N)N
Full-length (Y/N)N
Brief summary of the scientific questionSingle-cell RNA-seq (scRNA-seq) of pancreatic islets have reported on α- and β-cell gene expression in mice and subjects of predominantly European ancestry. The authors aimed to assess these findings in East-Asian islet-cells.
Brief summary of the bioinformatics processingmRNA levels between-samples were normalized by quantile normalization before statistical analysis. Hierarchical clustering of 294 cells that passed QC procedures were performed. The authors excluded 47 exocrine cells (with high REG1A expression) and 18 doublet cells and performed additional hierarchical clustering and PCA analyses based on INS, GCG and SST transcript expression levels. ANOVA analyses were performed to identify transcripts that were differentially expressed between INS expressing cells and high GCG expressing cells.
CitationDorajoo R, Ali Y, Tay VSY, Kang J, Samydurai S, Liu J, Boehm BO. Single-cell transcriptomics of East-Asian pancreatic islets cells [J]. Sci Rep. 2017, 7(1):5024
Web-link of the paperhttp://www.nature.com/articles/s41598-017-05266-4#Sec14