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Series GSE140369 Query DataSets for GSE140369
Status Public on Nov 24, 2021
Title Novel biomarkers for a personalized managemnet of Type II Diabetes [islet]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Quantitative measurement of circulating metabolites may help to identify tissue specific metabolic pathways that are modulated by or causal for a disease condition. The aim of the study was to explore associations between plasma lipid concentrations and gene expression in pancreatic β-cells and insulin target tissues in a mouse model of pre-diabetes to uncover molecular mechanisms and biomarkers of diabetes susceptibility.
 
Overall design Murine pancreatic islets transcriptome of three genetically different mouse strains (C57Bl/6, DBA/2J and BALB/cJ), fed with a high fat diet (HFD) or a regular chow (RC) for different periods of time: 5, 13 and 13 days.
 
Contributor(s) Rodriguez Sanchez-Archidona A, Cruciani-Guglielmacci C, Ibberson M, Magnan C, Thorens B
Citation(s) 34634522
Submission date Nov 14, 2019
Last update date Nov 24, 2021
Contact name Ana Rodriguez Sanchez-Archidona
E-mail(s) arsanchezarchidona@gmail.com, Ana.Rodriguez.1@unil.ch
Organization name University of Lausanne
Department CIG
Lab Bernard Thorens
Street address Genopode building - Quartier Sorge
City Lausanne
State/province Vaud
ZIP/Postal code 1015
Country Switzerland
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (72)
GSM4160152 Pancreatic islets, 1HF260
GSM4160153 Pancreatic islets, 1HF261
GSM4160154 Pancreatic islets, 1HF264
This SubSeries is part of SuperSeries:
GSE164673 Novel biomarkers for a personalized managemnet of Type II Diabetes
Relations
BioProject PRJNA589525
SRA SRP229991

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
GSE140369_Normalized_count_matrix.txt.gz 5.4 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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