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Series GSE76017 Query DataSets for GSE76017
Status Public on Jul 11, 2016
Title Transcriptomic profiling of alpha, beta, and delta cell populations provides new insights into the role of ghrelin in the pancreas
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Intra-islet crosstalk between islet cells is critical in orchestrating the body’s response to changes in blood glucose levels, but is incompletely understood. In this study, we used transgenic mouse lines that allowed the purification and transcriptomic characterisation of alpha, beta, and delta cells, yielding an RNA-sequencing database that can be searched for regulatory proteins which are differentially expressed between cell types. As an illustrative example, we examined the expression of g-protein coupled receptors, and found that the ghrelin receptor, Ghsr, was highly expressed in delta cells compared to alpha and beta cells. GHSR excitation elicited increases in cytosolic calcium levels in primary delta cells. In the perfused pancreas, the application of ghrelin stimulated somatostatin secretion, correlating with a decrease in insulin and glucagon release, which was sensitive to somatostatin receptor antagonism. These results show that ghrelin acts specifically on delta cells within pancreatic islets to affect blood glucose regulation.
 
Overall design Examination of transcriptomic profiles obtained from pancreatic alpha, beta and delta cells
 
Contributor(s) Lam BY, Adriaenssens AE, Yeo GS, Reimann F, Gribble FM
Citation(s) 27390011
Submission date Dec 15, 2015
Last update date May 15, 2019
Contact name Brian Yee Hong Lam
E-mail(s) yhbl2@cam.ac.uk
Organization name University of Cambridge
Department Metabolic Research Laboratories
Street address Box 289 Addenbookes Hospital, Hills Road
City Cambridge
ZIP/Postal code CB2 0QQ
Country United Kingdom
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (15)
GSM1972858 Alpha 1
GSM1972859 Alpha 2
GSM1972860 Alpha 3
Relations
BioProject PRJNA306020
SRA SRP067397

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Supplementary file Size Download File type/resource
GSE76017_data_geo.txt.gz 1.3 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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