Identification of biological targets of therapeutic intervention for clear cell renal cell carcinoma based on bioinformatics approach.

ABSTRACT:

Background

We aimed to discover the potential microRNA (miRNA) targets and to explore the underlying molecular mechanisms of clear cell renal cell carcinoma (ccRCC).

Methods

Microarray data of GSE16441 was downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) and differentially expressed miRNAs between ccRCC tumors and matched non-tumor samples were analyzed. Target genes of differentially expressed miRNAs were screened. Besides, functional enrichment analysis of DEGs was performed, followed by protein-protein interaction (PPI) network construction and sub-module analysis. Finally, the integrated miRNA-DEGs network was constructed.

Results

A total of 1758 up- and 2465 down-regulated DEGs were identified. Moreover, 15 up- and 12 down-r

SUBMITTER: Chen Y 

PROVIDER: S-EPMC4776412 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature