Integrative identification of deregulated miRNA/TF-mediated gene regulatory loops and networks in prostate cancer.

ABSTRACT: MicroRNAs (miRNAs) have attracted a great deal of attention in biology and medicine. It has been hypothesized that miRNAs interact with transcription factors (TFs) in a coordinated fashion to play key roles in regulating signaling and transcriptional pathways and in achieving robust gene regulation. Here, we propose a novel integrative computational method to infer certain types of deregulated miRNA-mediated regulatory circuits at the transcriptional, post-transcriptional and signaling levels. To reliably predict miRNA-target interactions from mRNA/miRNA expression data, our method collectively utilizes sequence-based miRNA-target predictions obtained from several algorithms, known information about mRNA and miRNA targets of TFs available in existing databases, certain molecular structures

SUBMITTER: Afshar AS 

PROVIDER: S-EPMC4072696 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature