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Links from GEO DataSets

Items: 3

1.

Connectivity mapping of a chronic kidney disease progression signature identified lysine deacetylases as novel therapeutic targets

(Submitter supplied) Motivation and design: Renal tubulointerstitial injury is an important determinant of chronic kidney disease (CKD) progression, yet treatment is limited to renin angiotensin system blockade. Accordingly, we performed global expression profiling in a 2 × 2 factorial design (N = 8 in each group) on RNA extracted from male Col4a3–/– mice and littermate controls on a 129X1/SvJ background at 4 and 7 weeks of age. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL16570
32 Samples
Download data: CEL, CHP
Series
Accession:
GSE137086
ID:
200137086
2.

Development of gene expression profiles in human chronic kidney disease

(Submitter supplied) A microarray analysis with renal biopsy specimens from CKD patients was conducted in order to identify the responsible genes associated with tubulointerstitial fibrosis and tubular cell injury in CKD. This study showed microarray profiles in total 53 biopsy specimens of CKD patients. In the discovery set, 554 down-regulated and 226 up-regulated signatures were identified. Then, the expressional changes of these genes were examined in the validation set.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
61 Samples
Download data: TXT
Series
Accession:
GSE66494
ID:
200066494
3.

Secretory Leukocyte Peptidase Inhibitor (SLPI) is a Novel Predictor of Tubulointerstitial Injury and Renal Outcome in Patients with Diabetic Nephropathy

(Submitter supplied) Tubulointerstitial injury plays an important role in diabetic nephropathy (DN) progression; however, no reliable urinary molecule has been used to predict tubulointerstitial injury and renal outcome of DN clinically. In this study, based on tubulointerstitial transcriptome, we identified secretory leukocyte peptidase inhibitor (SLPI) as the molecule associated with renal fibrosis and prognosis of DN. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
6 Samples
Download data: TXT
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