Transcriptome-wide detection of differentially expressed coding and non-coding transcripts and their clinical significance in prostate cancer.

ABSTRACT: Prostate cancer is a clinically and biologically heterogeneous disease. Deregulation of splice variants has been shown to contribute significantly to this complexity. High-throughput technologies such as oligonucleotide microarrays allow for the detection of transcripts that play a role in disease progression in a transcriptome-wide level. In this study, we use a publicly available dataset of normal adjacent, primary tumor, and metastatic prostate cancer samples (GSE21034) to detect differentially expressed coding and non-coding transcripts between these disease states. To achieve this, we focus on transcript-specific probe selection regions, that is, those probe sets that correspond unambiguously to a single transcript. Based on this, we are able to pinpoint at the transcript-specific lev

SUBMITTER: Erho N 

PROVIDER: S-EPMC3431106 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature