Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from renal cysts of autosomal dominant polycystic kidney disease (ADPKD) patients

ABSTRACT: To elucidate the molecular pathways that modulate renal cyst growth in autosomal dominant polycystic kidney disease (ADPKD) Keywords: Disease state analysis We performed global gene profiling on renal cysts of different size (small cysts: less than 1 ml, n=5; medium cysts: between 10-25 ml, n=5; large cysts: greater than 50 ml, n=3) and minimally cystic tissue (MCT, n=5) from five PKD1 polycystic kidneys. Additionally, non-cancerous renal cortical tissue from three nephrectomized kidneys with isolated renal cell carcinoma was used as normal control tissue (n=3). This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: York Pei

PROVIDER: E-GEOD-7869 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Systems biology of autosomal dominant polycystic kidney disease (ADPKD): computational identification of gene expression pathways and integrated regulatory networks.

Song Xuewen X Di Giovanni Valeria V He Ning N Wang Kairong K Ingram Alistair A Rosenblum Norman D ND Pei York Y

Human molecular genetics 20090403 13

To elucidate the molecular pathways that modulate renal cyst growth in ADPKD, we performed global gene profiling on cysts of different size (<1 ml, n = 5; 10-20 ml, n = 5; >50 ml, n = 3) and minimally cystic tissue (MCT, n = 5) from five PKD1 human polycystic kidneys using Affymetrix HG-U133 Plus 2.0 arrays. We used gene set enrichment analysis to identify overrepresented signaling pathways and key transcription factors (TFs) between cysts and MCT. We found down-regulation of kidney epithelial r ...[more]

PMID: 19346236

Publication: 1/2

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Project description:Polycystic Kidney Disease is characterized by the formation of large fluid-filled cysts that eventually destroy the renal parenchyma leading to end-stage renal failure. Although remarkable progress has been made in understanding the pathologic mechanism of the disease, the precise orchestration of the early events leading to cyst formation is still unclear. Abnormal cellular proliferation was traditionally considered to be one of the primary irregularities leading to cyst initiation and growth. Consequently, many therapeutic interventions have focused on targeting this abnormal proliferation, and some have even progressed to clinical trials. However, the role of proliferation in cyst development was primarily examined at stages where cysts are already visible in the kidneys and therefore at later stages of disease development. In this study we focused on the cystic phenotype since birth in an attempt to clarify the temporal contribution of cellular proliferation in cyst development. Using a PKD2 transgenic rat model (PKD2 (1-703)) of different ages (0-60 days after birth) we performed gene expression profiling and phenotype analysis by measuring various kidney parameters. Phenotype analysis demonstrated that renal cysts appear immediately after birth in the PKD2 transgenic rat model (PKD2 (1-703)). On the other hand, abnormal proliferation occurs at later stages of the disease as identified by gene expression profiling. Interestingly, other pathways appear to be deregulated at early stages of the disease in this PKD model. Our data suggest that cystogenesis precedes deregulation of proliferation-related pathways, suggesting that proliferation abnormalities may contribute in cyst growth rather than cyst formation. In this study we focused on the cystic phenotype since birth in an attempt to clarify the temporal contribution of cellular proliferation in cyst development. Using a PKD2 transgenic rat model (PKD2 (1-703)) of different ages (0,6 and 24 days after birth) we performed gene expression profiling of kidney cells.

Dataset Information

Expression data from renal cysts of autosomal dominant polycystic kidney disease (ADPKD) patients

Publications

Systems biology of autosomal dominant polycystic kidney disease (ADPKD): computational identification of gene expression pathways and integrated regulatory networks.

Similar Datasets

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