Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China.
Center of Bioinformatics, Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Sci Rep. 2019 Jul 31;9(1):11112. doi: 10.1038/s41598-019-47594-7.
N4-acetylcytidine (ac4C) is a highly conserved RNA modification and is the first acetylation event described in mRNA. ac4C in mRNA has been demonstrated to be involved in the regulation of mRNA stability, processing and translation, but the exact means by which ac4C works remain unclear. In addition, ac4C is widely distributed within the human transcriptome at physiologically relevant levels and so far only a small fraction of modified sequences have been detected by experiments. In this study, we developed a predictor of ac4C sites in human mRNA named PACES to help mining possible modified motifs. PACES combines two random forest classifiers, position-specific dinucleotide sequence profile and K-nucleotide frequencies. With genomic sequences as input, PACES gives possible modified sequences based on the training model. PACES is freely available at http://www.rnanut.net/paces/.
N4-乙酰胞苷(ac4C)是一种高度保守的 RNA 修饰,是在 mRNA 中描述的第一个乙酰化事件。在 mRNA 中的 ac4C 已被证明参与调节 mRNA 的稳定性、加工和翻译,但 ac4C 的确切作用方式仍不清楚。此外,ac4C 在生理相关水平上广泛分布于人类转录组中,到目前为止,只有一小部分修饰序列通过实验检测到。在这项研究中,我们开发了一种预测人 mRNA 中 ac4C 位点的工具 PACES,以帮助挖掘可能的修饰基序。PACES 结合了两个随机森林分类器,即位置特异性二核苷酸序列特征和 K-核苷酸频率。PACES 将基因组序列作为输入,根据训练模型给出可能的修饰序列。PACES 可在 http://www.rnanut.net/paces/ 免费获得。