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Series GSE117741 Query DataSets for GSE117741
Status Public on Mar 19, 2019
Title Mouse skeletal muscle and liver in response to physiological insulin
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Regulation of gene expression is an important aspect of insulin’s physiological action, however, most studies rely on in vitro systems or pharmacological doses of insulin. Here, we demonstrate that under euglycemic-clamp conditions, physiological levels of insulin regulate over 1500 transcripts in muscle and 1000 transcripts in liver. These include expected pathways related to glucose and lipid utilization, mitochondrial function and autophagy in muscle, and glucose production and steroidogenesis in liver, as well as unexpected pathways, such as mRNA splicing, chromatin remodeling, and regulation of hepatocyte nuclear factors. Insulin also regulates over 100 non-coding RNAs in muscle and liver. These changes in coding and non-coding RNAs, refined by alternative splicing, provide an integrated transcriptional network underlying the complexity of insulin action in vivo.
 
Overall design Three month-old male C57BL/6J mice (n = 6 per condition) were anestethized and had an indwelling catheter placed in the right internal jugular vein. After recovery (4-5 days), conscious mice were continuously perfused with either 4 or 12 mU/kg/min insulin or saline as control. Blood glucose was verified every 5-30 min and adjusted with infusion of a 20% glucose solution. At 20 min or 3 h of clamp, mice were euthanized by cervical dislocation, and tissues were harvested, snap frozen in liquid nitrogen and kept at -80 oC. Total RNA was isolated from quadriceps muscle and liver fragments. Stranded cDNA libraries with unique index tags for each sample (48 multiplexed) were made using a directional RNA-seq kit (Wafergen). Sequencing was performed on an Illumina HiSeq 2500 run on rapid mode (2x50).
 
Contributor(s) Batista TM, Kahn CR
Citation(s) 30893613, 34031123
BioProject PRJNA482469
Submission date Jul 26, 2018
Last update date Jun 07, 2021
Contact name Hui Pan
E-mail(s) Hui.Pan@joslin.harvard.edu
Organization name Joslin Diabetes Center
Department Bioinformatics and Biostatistics Core
Street address 1 Joslin Place
City Boston
ZIP/Postal code 02215
Country USA
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (72)
GSM3308048 1 Liver.Basal_20
GSM3308049 2 Liver.Low_20
GSM3308050 3 Liver.High_20
Relations
SRA SRP154942

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Supplementary file Size Download File type/resource
GSE117741_count_table.txt.gz 1.8 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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