Suppr超能文献

miRror2.0:一个用于评估微小RNA在细胞调控中联合作用的平台。

miRror2.0: a platform for assessing the joint action of microRNAs in cell regulation.

作者信息

Friedman Yitzhak, Linial Michal

机构信息

Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel.

出版信息

J Bioinform Comput Biol. 2013 Dec;11(6):1343012. doi: 10.1142/S0219720013430129.

Abstract

microRNAs (miRNAs) are short, noncoding RNAs that negatively regulate the levels of mRNA post-transcriptionally. Recent experiments revealed thousands of mRNA-miRNA pairs in which multiple miRNAs may bind the same transcript. These results raised the notion of miRNAs teamwork for a wide range of cellular context. miRror2.0 utilizes the miRNA-target predictions from over a dozen programs and resources and unifies them under a common statistical basis. The platform, called miRror2.0, considers the combinatorial regulation by miRNAs in different tissues, cell lines and under a broad range of conditions. A flexible setting permits the selection of the preferred combination of miRNA-target prediction resources as well as the statistical parameters for the analysis. miRror2.0 covers six major model organisms including human and mouse. Importantly, the system is capable of analyzing hundreds of genes that were subjected to miRNAs' regulation. Activating miRror2.0 by introducing thousands of genes from miRNA overexpression experiments successfully identified the objective miRNAs. The output from miRror2.0 is a list of genes that is optimally regulated by a defined set of miRNAs. A symmetric application of miRror2.0 starts with a set of miRNAs, and the system then seeks the preferred set of genes that are regulated by that miRNA composition. The results from miRror2.0 are empowered by an iterative procedure called PSI-miRror. PSI-miRror tests the robustness of miRror2.0 prediction. It allows a refinement of the initial list of genes in view of the miRNAs that optimally regulate this list. We present miRror2.0 as a valuable resource for supporting cellular experimentalists that seek recovery of combinatorial regulation by miRNAs from noisy experimental data. miRror2.0 is available at http://www.mirrorsuite.cs.huji.ac.il .

摘要

微小RNA(miRNA)是短链非编码RNA,可在转录后水平对mRNA水平进行负调控。最近的实验揭示了数千个mRNA-miRNA对,其中多个miRNA可能结合同一转录本。这些结果提出了miRNA在广泛细胞环境中协同作用的概念。miRror2.0利用了来自十几个程序和资源的miRNA靶标预测,并将它们统一在一个共同的统计基础上。这个名为miRror2.0的平台考虑了不同组织、细胞系以及广泛条件下miRNA的组合调控。灵活的设置允许选择miRNA靶标预测资源的首选组合以及分析的统计参数。miRror2.0涵盖了包括人类和小鼠在内的六种主要模式生物。重要的是,该系统能够分析数百个受miRNA调控的基因。通过引入来自miRNA过表达实验的数千个基因激活miRror2.0,成功鉴定出了目标miRNA。miRror2.0的输出是一组由特定miRNA组合最佳调控的基因列表。miRror2.0的对称应用从一组miRNA开始,然后系统寻找受该miRNA组成调控的首选基因集。miRror2.0的结果通过一个名为PSI-miRror的迭代程序得到增强。PSI-miRror测试miRror2.0预测的稳健性。它允许根据最佳调控该列表的miRNA对初始基因列表进行优化。我们将miRror2.0作为一种有价值的资源呈现给细胞实验人员,他们试图从嘈杂的实验数据中恢复miRNA的组合调控。可通过http://www.mirrorsuite.cs.huji.ac.il获取miRror2.0。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验