OncomiR: an online resource for exploring pan-cancer microRNA dysregulation
OncomiR: an online resource for exploring pan-cancer microRNA dysregulation
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DOI：
10.1093/bioinformatics/btx627
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发表时间：
2018-02-15
期刊：
影响因子：
5.8
通讯作者：
Wang, Xiaowei
中科院分区：
文献类型：
--
作者：
Wong, Nathan W.;Chen, Yuhao;Wang, Xiaowei
microRNAs （miRNAs）的失调与癌症的发生和进展广泛相关。mirna已被证明是预测肿瘤形成和预后的生物标志物。然而，如果没有适当的生物信息学专业知识，鉴定miRNA表达与肿瘤特征之间的关系可能是困难和耗时的。为了解决这个问题，我们提出了OncomiR，一个在线资源，用于探索miRNA在癌症中的失调。利用联合miRNA-seq、RNA-seq和来自癌症基因组图谱的临床数据，我们系统地进行了统计分析，以确定在大多数主要癌症类型中与肿瘤发生和进展相关的失调mirna。其他分析进一步确定了肿瘤中潜在的mirna -基因靶相互作用。这些结果存储在后端数据库中，并通过web服务器接口显示。此外，通过后端生物信息学管道，OncomiR还可以使用定制的miRNA选择进行动态分析，以深入表征癌症中的miRNA。
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.