Chen Wei, Feng Pengmian, Yang Hui, Ding Hui, Lin Hao, Chou Kuo-Chen
Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063000, China; Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China; Gordon Life Science Institute, Boston, MA 02478, USA.
Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan 063000, China.
Mol Ther Nucleic Acids. 2018 Jun 1;11:468-474. doi: 10.1016/j.omtn.2018.03.012. Epub 2018 Mar 30.
RNA modifications are additions of chemical groups to nucleotides or their local structural changes. Knowledge about the occurrence sites of these modifications is essential for in-depth understanding of the biological functions and mechanisms and for treating some genomic diseases as well. With the avalanche of RNA sequences generated in the post-genomic age, many computational methods have been proposed for identifying various types of RNA modifications one by one. However, so far no method whatsoever has been developed for simultaneously identifying several different types of RNA modifications. To address such a challenge, we developed a predictor called "iRNA-3typeA," by which we can simultaneously identify the occurrence sites of the following three most frequently observed modifications in RNA: (1) N-methyladenosine (mA), (2) N-methyladenosine (mA), and (3) adenosine to inosine (A-to-I). It has been shown via rigorous cross-validations for the RNA sequences from Homo sapiens and Mus musculus transcriptomes that the success rates achieved by the powerful new predictor are quite high. For the convenience of broad experimental scientists, a user-friendly web server for iRNA-3typeA has been established at http://lin-group.cn/server/iRNA-3typeA/. It is anticipated that iRNA-3typeA may become a useful high throughput tool for genome analysis.
RNA修饰是指在核苷酸上添加化学基团或使其发生局部结构变化。了解这些修饰的发生位点对于深入理解其生物学功能和机制以及治疗某些基因组疾病至关重要。随着后基因组时代产生的大量RNA序列,人们提出了许多计算方法来逐一识别各种类型的RNA修饰。然而,到目前为止,尚未开发出能够同时识别几种不同类型RNA修饰的方法。为应对这一挑战,我们开发了一种名为“iRNA-3typeA”的预测工具,通过它可以同时识别RNA中以下三种最常见修饰的发生位点:(1)N-甲基腺苷(mA),(2)N-甲基腺苷(mA),以及(3)腺苷到肌苷(A-to-I)。通过对来自智人和小鼠转录组的RNA序列进行严格的交叉验证表明,这种强大的新预测工具取得的成功率相当高。为方便广大实验科学家使用,已在http://lin-group.cn/server/iRNA-3typeA/建立了一个用户友好的iRNA-3typeA网络服务器。预计iRNA-3typeA可能成为基因组分析中一种有用的高通量工具。