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Series GSE117249 Query DataSets for GSE117249
Status Public on Jul 18, 2018
Title Novel differences in renal gene expression in a diet-induced obesity model
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Obesity is a significant risk factor for both chronic kidney disease and end-stage renal disease. To better understand disease development, we sought to identify novel genes differentially expressed early in disease progression. We first confirmed that mice fed a high-fat (HF) diet exhibit early signs of renal injury including hyperfiltration. We then performed RNA-Seq using renal cortex RNA from C57BL6/J male mice fed either HF or control (Ctrl) diet. We identified 1,134 genes differentially expressed in the cortex on HF vs. Ctrl, of which 31 genes were selected for follow-up analysis. This included the 9 most upregulated, the 11 most downregulated, and 11 genes of interest (primarily sensory receptors and G proteins). Quantitative (q)RT-PCR for these 31 genes was performed on additional male renal cortex and medulla samples, and 11 genes (including all 9 upregulated genes) were selected for further study based on qRT-PCR. We then examined expression of these 11 genes in Ctrl and HF male heart and liver samples, which demonstrated that these changes are relatively specific to the renal cortex. These 11 genes were also examined in female renal cortex, where we found that the expression changes seen in males on a HF diet are not replicated in females, even when the females are started on the diet sooner to match weight gain of the males. In sum, these data demonstrate that in a HF-diet model of early disease, novel transcriptional changes occur that are both sex specific and specific to the renal cortex.
 
Overall design Identification of differentially expressed genes in the renal cortex of 15 week old mice fed control vs high fat diet for 9 weeks
 
Contributor(s) Halperin Kuhns VL, Pluznick JL
Citation(s) 29141937
Submission date Jul 17, 2018
Last update date Mar 19, 2019
Contact name Jennifer L. Pluznick
E-mail(s) jpluznick@jhmi.edu
Organization name Johns Hopkins University
Department Physiology
Street address 725 N. Wolfe Street, WBSB 205
City Baltimore
State/province Maryland
ZIP/Postal code 21205
Country USA
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (8)
GSM3289892 HF_M_A
GSM3289893 HF_M_B
GSM3289894 HF_M_F
Relations
BioProject PRJNA481536
SRA SRP154207

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Supplementary file Size Download File type/resource
GSE117249_JHUJP04001_comparisons_with_annotation_and_fpkm.csv.gz 95.5 Kb (ftp)(http) CSV
GSE117249_JHUJP04001_differential_expression.csv.gz 26.2 Kb (ftp)(http) CSV
GSE117249_JHUJP04001_isoform_abundance.csv.gz 484.0 Kb (ftp)(http) CSV
GSE117249_JHUJP04001_results_matrix.txt.gz 439.8 Kb (ftp)(http) TXT
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Processed data are available on Series record

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