Friedman Yitzhak, Karsenty Solange, Linial Michal
Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Sudarsky Center for Computational Biology and The Selim and Rachel Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.
Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, Sudarsky Center for Computational Biology and The Selim and Rachel Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
Database (Oxford). 2014 Jun 6;2014. doi: 10.1093/database/bau043. Print 2014.
MicroRNAs (miRNAs) are short, non-coding RNAs that negatively regulate post-transcriptional mRNA levels. Recent data from cross-linking and immunoprecipitation technologies confirmed the combinatorial nature of the miRNA regulation. We present the miRror-Suite platform, developed to yield a robust and concise explanation for miRNA regulation from a large collection of differentially expressed transcripts and miRNAs. The miRror-Suite platform includes the miRror2.0 and Probability Supported Iterative miRror (PSI-miRror) tools. Researchers who performed large-scale transcriptomics or miRNA profiling experiments from cells and tissues will benefit from miRror-Suite. Our platform provides a concise, plausible explanation for the regulation of miRNAs in such complex settings. The input for miRror2.0 may include hundreds of differentially expressed genes or miRNAs. In the case of miRNAs as input, the algorithm seeks the statistically most likely set of genes regulated by this input. Alternatively, for a set of genes, the miRror algorithm seeks a collection of miRNAs that best explains their regulation. The miRror-Suite algorithm designates statistical criteria that were uniformly applied to a dozen miRNA-target prediction databases. Users select the preferred databases for predictions and numerous optional filters/parameters that restrict the search to the desired tissues, cell lines, level of expression and predictor scores. PSI-miRror is an advanced application for refining the input set by gradually enhancing the degree of pairing of the sets of miRNAs with the sets of targets. The iterations of PSI-miRror probe the interlinked nature of miRNAs and targets within cells. miRror-Suite serves experimentalists in facilitating the understanding of miRNA regulation through combinatorial- cooperative activity. The platform applies to human, mouse, rat, fly, worm and zebrafish. Database URL: http://www.mirrorsuite.cs.huji.ac.il.
微小RNA(miRNA)是短链非编码RNA,可对转录后mRNA水平进行负调控。交联和免疫沉淀技术的最新数据证实了miRNA调控的组合性质。我们展示了miRror-Suite平台,该平台旨在从大量差异表达的转录本和miRNA中,对miRNA调控给出可靠且简洁的解释。miRror-Suite平台包括miRror2.0和概率支持迭代miRror(PSI-miRror)工具。对细胞和组织进行大规模转录组学或miRNA谱分析实验的研究人员将从miRror-Suite中受益。我们的平台为如此复杂环境下的miRNA调控提供了简洁、合理的解释。miRror2.0的输入可能包括数百个差异表达的基因或miRNA。以miRNA作为输入时,该算法会寻找受此输入调控的统计学上最可能的基因集。或者,对于一组基因,miRror算法会寻找最能解释其调控的miRNA集合。miRror-Suite算法指定了统一应用于十几个miRNA靶标预测数据库的统计标准。用户选择用于预测的首选数据库以及众多可选过滤器/参数,这些过滤器/参数将搜索限制在所需的组织、细胞系、表达水平和预测分数上。PSI-miRror是一种高级应用程序,可通过逐步增强miRNA集与靶标集的配对程度来优化输入集。PSI-miRror的迭代探究了细胞内miRNA与靶标的相互联系性质。miRror-Suite通过组合协同活性,帮助实验人员更好地理解miRNA调控。该平台适用于人类、小鼠、大鼠、果蝇、线虫和斑马鱼。数据库网址:http://www.mirrorsuite.cs.huji.ac.il 。