作者
Wenyu Zhang, Jin Zang, Xinhua Jing, Zhandong Sun, Wenying Yan, Dongrong Yang, Feng Guo, Bairong Shen
发表日期
2014/12
期刊
Journal of translational medicine
卷号
12
页码范围
1-12
出版商
BioMed Central
简介
Background
MicroRNAs (miRNAs) are a class of non-coding regulatory RNAs approximately 22 nucleotides in length that play a role in a wide range of biological processes. Abnormal miRNA function has been implicated in various human cancers including prostate cancer (PCa). Altered miRNA expression may serve as a biomarker for cancer diagnosis and treatment. However, limited data are available on the role of cancer-specific miRNAs. Integrative computational bioinformatics approaches are effective for the detection of potential outlier miRNAs in cancer.
Methods
The human miRNA-mRNA target network was reconstructed by integrating multiple miRNA-mRNA interaction datasets. Paired miRNA and mRNA expression profiling data in PCa versus benign prostate tissue samples were used as another source of information. These datasets were …
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