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Series GSE69889 Query DataSets for GSE69889
Status Public on Nov 10, 2015
Title Genome-wide Circadian Control of Transcription at Active Enhancers Regulates Insulin Secretion and Diabetes Risk
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The molecular clock is a transcriptional oscillator present in brain and peripheral cells that coordinates behavior and physiology with the solar cycle. Here we reveal that the clock gates insulin secretion through genome-wide transcriptional control of the pancreatic exocyst across species. Clock transcription factors bind to unique enhancer sites in cycling genes in beta cells that diverge from those in liver, revealing the dynamics of inter-tissue clock control of genomic and physiologic processes important in glucose homeostasis.
 
Overall design Transcriptome profiling in mouse and human islets at serial 4-hour time intervals by polyA RNA-Seq
 
Contributor(s) Perelis M, Marcheva B, Barish GD, Bass J
Citation(s) 26542580
Submission date Jun 15, 2015
Last update date May 15, 2019
Contact name Mark Perelis
E-mail(s) mperelis@u.northwestern.edu
Organization name Northwestern University
Street address 303 E Superior Street Lurie Research Center Rm 7-220
City Chicago
State/province IL
ZIP/Postal code 60611
Country USA
 
Platforms (3)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (60)
GSM1711965 Mouse islet polyA RNA-Seq biological replicate 1 CT0
GSM1711966 Mouse islet polyA RNA-Seq biological replicate 1 CT4
GSM1711967 Mouse islet polyA RNA-Seq biological replicate 1 CT8
This SubSeries is part of SuperSeries:
GSE70961 Pancreatic Beta Cell Enhancers Regulate Rhythmic Transcription of Exocyst Triggering and Diabetes
Relations
BioProject PRJNA287037
SRA SRP059509

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
GSE69889_Cycling_Human_Islet_Genes.txt.gz 145.5 Kb (ftp)(http) TXT
GSE69889_Cycling_Mouse_Islet_Genes.txt.gz 459.1 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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