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Series GSE114297 Query DataSets for GSE114297
Status Public on Jul 11, 2018
Title Pseudotime Ordering of Single Human Beta-Cells Reveals States of Insulin Production and Unfolded Protein Response
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We report the pseudotime ordering of single non-diabetic human beta-cells detected by large-scale RNA sequencing. We identified major states with 1) low UPR and low insulin gene expression, 2) low UPR and high insulin gene expression or 3) high UPR and low insulin gene expression. The latter state was enriched for proliferating cells. Stressed human beta-cells do not dedifferentiate and show little propensity for apoptosis. These data suggest that human beta-cells transition between states with high rates of biosynthesis to fulfill the body’s insulin requirements to maintain normal blood glucose levels and UPR-mediated recovery from ER stress due to high insulin production.
 
Overall design Single-cell RNA sequencing of human pancreatic islets
 
Contributor(s) Xin Y, Dominguez Gutierrez G, Gromada J
Citation(s) 29950394, 30380031, 33529174
Submission date May 10, 2018
Last update date Apr 13, 2021
Contact name Yurong Xin
E-mail(s) yurong.xin@regeneron.com
Organization name Regeneron Pharmaceuticals, Inc.
Street address 777 Old Saw Mill River Road
City Tarrytown
State/province NY
ZIP/Postal code 10598
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (12)
GSM3138939 Human islets single-cell RNAseq_1
GSM3138940 Human islets single-cell RNAseq_2
GSM3138941 Human islets single-cell RNAseq_3
Relations
BioProject PRJNA470834
SRA SRP145274

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE114297_RAW.tar 134.3 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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