Hsu Paul W C, Huang Hsien-Da, Hsu Sheng-Da, Lin Li-Zen, Tsou Ann-Ping, Tseng Ching-Ping, Stadler Peter F, Washietl Stefan, Hofacker Ivo L
Institute of Bioinformatics, National Chiao Tung University, Hsin-Chu 300, Taiwan, ROC.
Nucleic Acids Res. 2006 Jan 1;34(Database issue):D135-9. doi: 10.1093/nar/gkj135.
Recent work has demonstrated that microRNAs (miRNAs) are involved in critical biological processes by suppressing the translation of coding genes. This work develops an integrated database, miRNAMap, to store the known miRNA genes, the putative miRNA genes, the known miRNA targets and the putative miRNA targets. The known miRNA genes in four mammalian genomes such as human, mouse, rat and dog are obtained from miRBase, and experimentally validated miRNA targets are identified in a survey of the literature. Putative miRNA precursors were identified by RNAz, which is a non-coding RNA prediction tool based on comparative sequence analysis. The mature miRNA of the putative miRNA genes is accurately determined using a machine learning approach, mmiRNA. Then, miRanda was applied to predict the miRNA targets within the conserved regions in 3'-UTR of the genes in the four mammalian genomes. The miRNAMap also provides the expression profiles of the known miRNAs, cross-species comparisons, gene annotations and cross-links to other biological databases. Both textual and graphical web interface are provided to facilitate the retrieval of data from the miRNAMap. The database is freely available at http://mirnamap.mbc.nctu.edu.tw/.
近期研究表明,微小RNA(miRNA)通过抑制编码基因的翻译参与关键生物学过程。这项工作开发了一个综合数据库miRNAMap,用于存储已知的miRNA基因、推测的miRNA基因、已知的miRNA靶标和推测的miRNA靶标。人类、小鼠、大鼠和狗等四种哺乳动物基因组中的已知miRNA基因来自miRBase,并通过文献调研确定了经实验验证的miRNA靶标。推测的miRNA前体通过RNAz进行鉴定,RNAz是一种基于比较序列分析的非编码RNA预测工具。使用机器学习方法mmiRNA准确确定推测的miRNA基因的成熟miRNA。然后,应用miRanda预测四种哺乳动物基因组中基因3'-UTR保守区域内的miRNA靶标。miRNAMap还提供已知miRNA的表达谱、跨物种比较、基因注释以及与其他生物数据库的交叉链接。提供了文本和图形网络界面,以方便从miRNAMap中检索数据。该数据库可从http://mirnamap.mbc.nctu.edu.tw/免费获取。