PPARγ disease gene network and identification of therapeutic targets for prostate cancer

Autor:	Alan Prem Kumar, Kishore R. Sakharkar, Meena Kishore Sakharkar, Sindhu Thangavel, Gireedhar Venkatachalam, Marie-Veronique Clement
Rok vydání:	2011
Předmět:	Male Gene regulatory network Pharmaceutical Science Peroxisome proliferator-activated receptor Biology Prostate cancer Cell Line Tumor Neoplasms medicine Humans Direct repeat Gene Regulatory Networks Promoter Regions Genetic Gene Protein Kinase C chemistry.chemical_classification Prostatic Neoplasms Cancer Promoter medicine.disease PPAR gamma Phosphoglycerate Kinase Nuclear receptor chemistry Cancer research Nervous System Diseases
Zdroj:	Journal of Drug Targeting. 19:781-796
ISSN:	1029-2330 1061-186X
DOI:	10.3109/1061186x.2011.568062
Popis:	Peroxisome proliferator-activated receptor (PPAR) belongs to the nuclear hormone receptor superfamily. Recently published reports demonstrate the importance of a direct repeat 2 (DR2) as a PPARγ-responsive element in addition to the canonical direct repeat 1 (DR1) Peroxisome proliferator response elements (PPREs). However, a comprehensive and systematic approach to constructing de novo disease-specific gene networks for PPARγ is lacking, especially one that includes PPARγ target genes containing either DR1 or DR2 site within their promoter region. Here, we computationally identified 1154 PPARγ direct target genes and constructed the PPARγ disease gene network, which revealed 138 PPARγ target genes that are associated with 65 unique diseases. The network shows that PPARγ target genes are highly associated with cancer and neurological diseases. Thirty-eight PPARγ direct target genes were found to be involved in prostate cancer and two key (hub) PPARγ direct target genes, PRKCZ and PGK1, were experimentally validated to be repressed upon PPARγ activation by its natural ligand, 15d-PGJ(2) in three prostrate cancer cell lines. We proposed that PRKCZ and PGK1 could be novel therapeutic targets for prostate cancer. These investigations would not only aid in understanding the molecular mechanisms by which PPARγ regulates disease targets but would also lead to the identification of novel PPARγ gene targets.
Databáze:	OpenAIRE
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