Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Bioinformatics. 2018 Feb 15;34(4):713-715. doi: 10.1093/bioinformatics/btx627.
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.
The OncomiR website is freely accessible at www.oncomir.org.
Supplementary data are available at Bioinformatics online.
microRNAs(miRNAs)的失调与癌症的发生和发展广泛相关。miRNAs 已被证明是预测肿瘤形成和结果的生物标志物。然而,如果没有适当的生物信息学专业知识,识别 miRNA 表达与肿瘤特征之间的关系可能会很困难且耗时。为了解决这个问题,我们提出了 OncomiR,这是一个用于研究癌症中 miRNA 失调的在线资源。我们使用来自癌症基因组图谱的 miRNA-seq、RNA-seq 和临床数据的组合,系统地进行了统计分析,以确定与大多数主要癌症类型中肿瘤发生和进展相关的失调 miRNA。进一步的分析还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 服务器界面呈现。此外,通过后端生物信息学管道,OncomiR 还可以使用自定义 miRNA 选择进行动态分析,以深入表征癌症中的 miRNA。
OncomiR 网站可在 www.oncomir.org 免费访问。
补充数据可在 Bioinformatics 在线获得。