Andrés-León Eduardo, González Peña Daniel, Gómez-López Gonzalo, Pisano David G
Bioinformatics Unit (UBio), Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain and High Technical School of Computer Engineering, University of Vigo, Ourense, Spain
Bioinformatics Unit (UBio), Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain and High Technical School of Computer Engineering, University of Vigo, Ourense, Spain.
Database (Oxford). 2015 Apr 8;2015:bav035. doi: 10.1093/database/bav035. Print 2015.
MicroRNAs (miRNAs) are small non-coding elements involved in the post-transcriptional down-regulation of gene expression through base pairing with messenger RNAs (mRNAs). Through this mechanism, several miRNA-mRNA pairs have been described as critical in the regulation of multiple cellular processes, including early embryonic development and pathological conditions. Many of these pairs (such as miR-15 b/BCL2 in apoptosis or BART-6/BCL6 in diffuse large B-cell lymphomas) were experimentally discovered and/or computationally predicted. Available tools for target prediction are usually based on sequence matching, thermodynamics and conservation, among other approaches. Nevertheless, the main issue on miRNA-mRNA pair prediction is the little overlapping results among different prediction methods, or even with experimentally validated pairs lists, despite the fact that all rely on similar principles. To circumvent this problem, we have developed miRGate, a database containing novel computational predicted miRNA-mRNA pairs that are calculated using well-established algorithms. In addition, it includes an updated and complete dataset of sequences for both miRNA and mRNAs 3'-Untranslated region from human (including human viruses), mouse and rat, as well as experimentally validated data from four well-known databases. The underlying methodology of miRGate has been successfully applied to independent datasets providing predictions that were convincingly validated by functional assays. miRGate is an open resource available at http://mirgate.bioinfo.cnio.es. For programmatic access, we have provided a representational state transfer web service application programming interface that allows accessing the database at http://mirgate.bioinfo.cnio.es/API/ Database URL: http://mirgate.bioinfo.cnio.es
微小RNA(miRNA)是一类小的非编码元件,通过与信使RNA(mRNA)碱基配对参与基因表达的转录后下调。通过这种机制,一些miRNA-mRNA对已被描述为在多种细胞过程的调控中起关键作用,包括早期胚胎发育和病理状况。其中许多对(如凋亡中的miR-15b/BCL2或弥漫性大B细胞淋巴瘤中的BART-6/BCL6)是通过实验发现和/或通过计算预测的。现有的靶标预测工具通常基于序列匹配、热力学和保守性等方法。然而,miRNA-mRNA对预测的主要问题是不同预测方法之间甚至与实验验证的对列表之间的重叠结果很少,尽管事实上所有方法都依赖于相似的原理。为了解决这个问题,我们开发了miRGate,一个包含使用成熟算法计算出的新型计算预测miRNA-mRNA对的数据库。此外,它还包括来自人类(包括人类病毒)、小鼠和大鼠的miRNA和mRNA 3'非翻译区的更新且完整的序列数据集,以及来自四个知名数据库的实验验证数据。miRGate的基础方法已成功应用于独立数据集,其提供的预测通过功能测定得到了令人信服的验证。miRGate是一个开放资源,可在http://mirgate.bioinfo.cnio.es获取。对于编程访问,我们提供了一个代表性状态转移网络服务应用程序编程接口,允许在http://mirgate.bioinfo.cnio.es/API/访问数据库。数据库网址:http://mirgate.bioinfo.cnio.es