Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA382566: Single-cell transcriptomics of East-Asian pancreatic islets cells

Source: NCBI / GSE97655
Submission Date: Apr 11 2017
Release Date: Aug 11 2017
Update Date: May 15 2019

Summary: Single-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. We aimed to assess these findings in East-Asian islet-cells. 448 islet-cells were captured from three East-Asian non-diabetic subjects for scRNA-seq. Hierarchical clustering using pancreatic cell lineage genes was used to assign cells into cell-types. Differentially expressed transcripts between α- and β-cells were detected using ANOVA and in silico replications of mouse and human islet cell genes were performed. We identified 118 α, 105 β, 6 δ endocrine cells and 47 exocrine cells. Besides INS and GCG, 26 genes showed differential expression between α- and β-cells. 10 genes showed concordant expression as reported in rodents, while FAM46A was significantly discordant. Comparing our East-Asian data with data from primarily European subjects, we replicated several genes implicated in nuclear receptor activations, acute phase response pathway, glutaryl-CoA/tryptophan degradations and EIF2/AMPK/mTOR signaling. Additionally, we identified protein ubiquitination to be associated among East-Asian β-cells. We report on East-Asian α- and β-cell gene signatures and substantiate several genes/pathways. We identify expression signatures in East-Asian β-cells that perhaps reflects increased susceptibility to cell-death and warrants future validations to fully appreciate their role in East-Asian diabetes pathogenesis.

Overall Design: 448 islet-cells were captured from three East-Asian non-diabetic subjects for scRNA-seq. 223 islet-cells remained after samples QC, and these cells were used for subsequent analyses. Hierarchical clustering using pancreatic cell lineage genes was used to assign cells into cell-types. We identified 118 α and 105 β endocrine cells in our dataset.

GEN Datasets:
GEND000220
Strategy:
Species:
Tissue:
Healthy Condition:
Cell Type:
Protocol
Growth Protocol: -
Treatment Protocol: -
Extract Protocol: Single cells were processed for RNA-seq using Nextera XT kits (Illumina). Cell lysis, reverse transcription (SMARTer Ultra Low RNA kit, Clontech) and PCR amplification (Advantage® 2 kit, Clontech) were performed on the C1™ Auto-prep module.
Library Construction Protocol: Approximately 0.15 ng of cDNA from each cell was processed for RNA-seq using Nextera XT DNA library preparation kits (Illumina).
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: single
Library Strand: -
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 4000
Strand-Specific: Unspecific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Single-cell transcriptomics of East-Asian pancreatic islets cells.
Scientific reports . 2017-07-10 [PMID: 28694456]