Abstract
To assess the relationship between a reduced nephron number and a particular susceptibility to obesity-induced renal damage, mice underwent uninephrectomy (UNX) followed by either normal chow or high-fat diet (HFD) and were compared with sham-operated control mice. Analysis of gene expression in the mouse kidney by whole genome microarrays indicated that high fat diet led to more changes in gene expression than uninephrectomy. However, the combination of UNX and HFD additionally altered the effects of obesity on gene expression pattern. Here we describe in details the contents and quality controls for the gene expression and related results associated with the data uploaded to Gene Expression Omnibus (accession number GSE53996).
Keywords: High fat diet, Gene regulation, Chronic kidney failure, Microarray
| Specifications | |
| Organism/cell line/tissue | Mus musculus/kidney |
| Strain(s) | C57/BJ |
| Sex | Male |
| Sequencer or array type | Agilent-026655 Mouse GE 4x44K v2 |
| Data format | Raw data: TXT files, normalized data: TXT |
| Experimental factors | Sham vs. UNX, chow vs. HFD |
| Experimental features | A unique microarray dataset of high fat diet induced mouse nephropathy model |
| Consent | All protocols were approved by the Cantonal Veterinary Office in Zurich |
| Sample source location | Zurich, Switzerland |
Direct link to deposited data
Deposited data can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE53996.
Experimental design, materials and methods
Uninephrectomy and kidney function data
Male C57/BJ mice aged 6 weeks were randomly assigned to uninephrectomy (UNX) or sham procedures and fed with a high fat diet (D12331; ResearchDiets, NJ, USA) or control chow diet (Provimi Kliba). Mice were divided into 4 groups of 6: Sham-chow, UNX-chow, sham-HFD and UNX-HFD. For uninephrectomy, the left kidney was surgically removed via a left paramedian incision on the back under anesthesia. The adrenal gland was carefully freed from the upper pole of the renal capsule before the renal pedicle was ligated and the kidney removed. For sham surgery, the kidney was manipulated without ablation. All mice were sacrificed under anesthesia 20 weeks after surgery and the kidneys were harvested. Half of the kidney from each animal was snap frozen in liquid nitrogen and stored at − 80 °C for RNA and protein extraction. All protocols conformed to the Swiss animal protection laws and were approved by the Cantonal Veterinary Office in Zurich, Switzerland. Kidney functions of the different treatment groups are checked and described in Table 1. Both urine albumin/creatinine ratio and urine H2O2/creatinine level are increased in mice fed with HFD for 20 weeks. Moreover, albumin and H2O2 levels were significantly higher in the UNX group after 20 weeks of the high fat diet, indicating much severer kidney damages in such a treatment group.
Table 1.
Baseline markers for kidney function from the different treatment groups.
| Sham |
UNX |
|||
|---|---|---|---|---|
| Chow | HFD | Chow | HFD | |
| Urinary albumin/creatinine ratio (mg/g) | 46.9 ± 15.1 | 728 ± 177.2⁎ | 49.4 ± 18.8 | 1206 ± 260.4⁎, § |
| Urinary H2O2/creatinine ratio (nmol/mg) | 109.5 ± 69.6 | 370.2 ± 20.2⁎ | 83.0 ± 49.7 | 584.1 ± 50.9⁎, § |
Abbreviations: UNX, uninephrectomy; HFD, high fat diet. n = 6–8 mice/group. Data are shown as mean ± SEM.
p < 0.05, comparison between chow and HFD.
p < 0.05, comparison between sham and UNX.
Microarray and gene expression analysis
RNA was extracted from the frozen kidney using RNeasy Microarray Tissue mini kit (73304, Qiagen, Germany), followed by column DNase digestion to remove any contaminating genomic DNA. RNA samples from 4 mice per group were subjected to microarray analysis. Briefly, 100 ng of total RNA was reverse-transcribed into double-stranded cDNA, which was linearly amplified and labeled with Cy3 dye. Following quantification using a Nanodrop spectrophotometer (Witec, Luzern, Switzerland) and quality assessment with Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA), 1.6 μg of the obtained Cy3-labeled cRNA was hybridized to Mouse GE 4x44K v2 Microarrays (Agilent Technologies, Santa Clara, CA) according to the manufacturer's protocol. Arrays were scanned with an Agilent G2565CA Microarray Scanner System (Agilent, Santa Clara, CA). Raw intensity data were obtained using Agilent's Feature Extraction Software version 10.7 for array image analysis and the calculation of spot intensity measurements. All microarray data were submitted to the Gene Expression Omnibus [1] (accession number GSE53996).
Normalization
Data analysis was carried out with R/Bioconductor [2]. The processed intensities and normalized across samples were loaded by using quantile normalization implemented in the Bioconductor package preprocessCore [3]. Differential expression was computed using the limma package [4]. More details on analysis methods can be found at http://fgcz-bfabric.uzh.ch/wiki/tiki-index.php?page=app.two_groups.
Basic analysis
First, gene expression was compared between UNX-chow mice versus sham-chow mice (UNX-chow/sham-chow) and between UNX-HFD mice versus sham-HFD mice (UNX-HFD/sham-HFD). By using a ≥ 1.7-fold change as a cut-off, only 157 genes were differentially expressed between the UNX-chow/sham-chow groups and 136 genes between the UNX-HFD/sham-HFD groups (Table 2). Next, in order to identify the genes altered by HFD, the following datasets were compared: UNX-HFD versus UNX-chow (designated as UNX dataset) and sham-HFD versus sham-chow (designated as sham dataset). Comparison of data from sham-HFD versus sham-chow and data from UNX-HFD versus UNX-chow revealed that 2441 and 2581 genes, respectively, were significantly increased or decreased at least 1.7-fold (Table 2).
Table 2.
Microarray analysis of mRNA expression levels in kidney tissue of the four treatment groups.
| Cooperation between groups | Number of differentially expressed genes |
|---|---|
| UNX-chow vs. sham-chow | 157 |
| UNX-HFD vs. sham-HFD | 136 |
| Sham-HFD vs. sham-chow | 2441 |
| UNX-HFD vs. UNX-chow | 2581 |
Summary of differentially expressed genes between groups. Cut off 1.7-fold, p < 0.05.
Interestingly, a substantial number of genes (1289 genes) overlapped in being differentially expressed in both the UNX-HFD/UNX-chow and the sham-HFD/sham-chow datasets, as shown by the Venn diagram analysis [5] (Fig. 1). The overlapping genes in both of the UNX and sham datasets indicate that these genes are universally changed by high fat diet. However, the genes showed an altered expression only in the UNX-HFD remnant kidneys which suggests that these genes are changed by the synergetic effects of obesity and uninephrectomy (Fig. 1 orange part). Further analysis on the genes differentially expressed in between different groups revealed that more genes related with nephropathy were uniquely expressed in the UNX-HFD dataset. Moreover, genes implicated in renal hypoxia showed an altered expression only in the UNX-HFD remnant kidneys. The altered expression of genes responsive to hypoxia is consistent with the increased urinary H2O2 levels in UNX-HFD mice.
Fig. 1.
Comparison of common and distinct gene expression patterns across the different experimental conditions. The Venn diagram analysis of sham versus UNX datasets indicates that 1289 genes (overlapped) are commonly expressed in both the sham-HFD and UNX-HFD kidneys, whereas 1152 and 1292 genes are distinctly expressed in the sham-HFD kidneys (blue) or UNX-HFD kidneys (orange), respectively. Data were analyzed using Subio platform software.
Discussion
We described here a unique dataset of mouse kidney disease model with obesity. This dataset is composed of genome-wide gene expression profiling data measured by Agilent platform. We showed that obesity induced proteinuria and oxidative stress in mice fed a HFD, and these changes were further enhanced by uninephrectomy. Furthermore, gene-profiling analysis of differentially expressed genes in the kidneys from each group revealed the synergistic effects of UNX and HFD on the gene expression levels. As a consequence, the function of the remnant kidney is more severely impaired.
References
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