Bhattacharya Anindya, Cui Yan
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, WB 700108, India
Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN 38163, USA Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
Nucleic Acids Res. 2016 Jan 4;44(D1):D1005-10. doi: 10.1093/nar/gkv1220. Epub 2015 Nov 17.
SomamiR 2.0 (http://compbio.uthsc.edu/SomamiR) is a database of cancer somatic mutations in microRNAs (miRNA) and their target sites that potentially alter the interactions between miRNAs and competing endogenous RNAs (ceRNA) including mRNAs, circular RNAs (circRNA) and long noncoding RNAs (lncRNA). Here, we describe the recent major updates to the SomamiR database. We expanded the scope of the database by including somatic mutations that impact the interactions between miRNAs and two classes of non-coding RNAs, circRNAs and lncRNAs. Recently, a large number of miRNA target sites have been discovered by newly emerged high-throughput technologies for mapping the miRNA interactome. We have mapped 388 247 somatic mutations to the experimentally identified miRNA target sites. The updated database also includes a list of somatic mutations in the miRNA seed regions, which contain the most important guiding information for miRNA target recognition. A recently developed webserver, miR2GO, was integrated with the database to provide a seamless pipeline for assessing functional impacts of somatic mutations in miRNA seed regions. Data and functions from multiple sources including biological pathways and genome-wide association studies were updated and integrated with SomamiR 2.0 to make it a better platform for functional analysis of somatic mutations altering miRNA-ceRNA interactions.
SomamiR 2.0(http://compbio.uthsc.edu/SomamiR)是一个关于微小RNA(miRNA)及其靶位点的癌症体细胞突变数据库,这些突变可能会改变miRNA与包括信使核糖核酸(mRNA)、环状核糖核酸(circRNA)和长链非编码核糖核酸(lncRNA)在内的竞争性内源RNA(ceRNA)之间的相互作用。在此,我们描述了SomamiR数据库最近的主要更新情况。我们通过纳入影响miRNA与两类非编码RNA(circRNA和lncRNA)之间相互作用的体细胞突变,扩大了数据库的范围。最近,新出现的用于绘制miRNA相互作用组图谱的高通量技术发现了大量的miRNA靶位点。我们已将388247个体细胞突变定位到通过实验确定的miRNA靶位点上。更新后的数据库还包括miRNA种子区域中的体细胞突变列表,该区域包含miRNA靶标识别中最重要的指导信息。最近开发的一个网络服务器miR2GO与该数据库进行了整合,以提供一个无缝流程来评估miRNA种子区域中体细胞突变的功能影响。来自包括生物途径和全基因组关联研究在内的多个来源的数据和功能都进行了更新,并与SomamiR 2.0进行了整合,使其成为一个更好的用于分析改变miRNA-ceRNA相互作用的体细胞突变功能的平台。