Distefano Rosario, Nigita Giovanni, Veneziano Dario, Romano Giulia, Croce Carlo M, Acunzo Mario
Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Division of Pulmonary Diseases and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Methods Mol Biol. 2019;1970:211-235. doi: 10.1007/978-1-4939-9207-2_12.
MicroRNAs (miRNAs) are small noncoding RNA molecules (sncRNAs) involved in gene expression regulation. Having been widely studied during last two decades, they have been associated with several diseases, including cancer. Recent improvements in high throughput sequencing technologies have revealed a more complex miRNAome, due to miRNA sequence modification phenomena, such as RNA editing and isomiRs. As a result, a new class of tools is necessary in order to appropriately investigate this emerging complexity. To address such need, we developed isoTar, a high-performance Web-based containerized application designed for miRNA consensus targeting prediction and functional enrichment analyses. In the present chapter, we provide an overview of isoTar ( https://ncrnaome.osumc.edu/isotar/ ), as well as benchmarks and a guide to its usage.
微小RNA（miRNA）是参与基因表达调控的小型非编码RNA分子（sncRNA）。在过去二十年中，它们得到了广泛研究，并与包括癌症在内的多种疾病相关联。由于RNA编辑和异源miRNA等miRNA序列修饰现象，高通量测序技术的最新进展揭示了一个更加复杂的miRNA组。因此，需要一类新的工具来适当地研究这种新出现的复杂性。为满足这一需求，我们开发了isoTar，这是一个基于网络的高性能容器化应用程序，用于miRNA一致性靶向预测和功能富集分析。在本章中，我们概述了isoTar（https://ncrnaome.osumc.edu/isotar/），以及其基准测试和使用指南。
