OncomiR: an online resource for exploring pan-cancer microRNA dysregulation

被引:150
作者
Wong, Nathan W. [1 ,2 ]
Chen, Yuhao [2 ,3 ]
Chen, Shuai [2 ]
Wang, Xiaowei [1 ,2 ]
机构
[1] Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA
[2] Washington Univ, Dept Radiat Oncol, Sch Med, St Louis, MO 63108 USA
[3] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
基金
美国国家卫生研究院;
关键词
TARGET PREDICTION; DATABASE;
D O I
10.1093/bioinformatics/btx627
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Dysregulation of microRNAs (miRNAs) is extensively associated with cancer development and progression. miRNAs have been shown to be biomarkers for predicting tumor formation and outcome. However, identification of the relationships between miRNA expression and tumor characteristics can be difficult and time-consuming without appropriate bioinformatics expertise. To address this issue, we present OncomiR, an online resource for exploring miRNA dysregulation in cancer. Using combined miRNA-seq, RNA-seq and clinical data from The Cancer Genome Atlas, we systematically performed statistical analyses to identify dysregulated miRNAs that are associated with tumor development and progression in most major cancer types. Additional analyses further identified potential miRNA-gene target interactions in tumors. These results are stored in a backend database and presented through a web server interface. Moreover, through a backend bioinformatics pipeline, OncomiR can also perform dynamic analysis with custom miRNA selections for in-depth characterization of miRNAs in cancer.
引用
收藏
页码:713 / 715
页数:3
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