COVID-19冠状病毒mirna的注释

Tie-Ying Yu , Min Chen , Chun-De Wang
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引用次数: 13

摘要

COVID-19冠状病毒是一种以前未在人类中发现的新型冠状病毒。由于其严重的致病性,对其进行彻底的研究以帮助发现治疗方法是很重要的。本研究对COVID-19的microRNAs (miRNAs)进行了注释,为研究这种新型冠状病毒提供了有力的工具。我们从microRNA数据库(miRbase)中获得了16个新型冠状病毒基因组序列和所有病毒的成熟序列,然后利用该病毒的miRNA成熟序列在冠状病毒基因组中进行基本局部比对搜索工具(BLAST)分析,将大约20 bp的匹配区域扩展到两个片段200 bp。删除冗余序列后得到6个序列。然后,利用RNAfold测定成熟mirna的发夹结构。选取一个发夹臂上的成熟序列共4个序列,最后利用相关的miRNA前体预测工具验证所选序列是否为新型冠状病毒的miRNA前体序列。利用新方法对新型冠状病毒的mirna进行了注释,为进一步研究该病毒奠定了基础。
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Annotation of miRNAs in COVID-19 coronavirus

The COVID-19 coronavirus is a new strain of coronavirus that had not been previously detected in humans. As its severe pathogenicity is concerned, it is important to study it thoroughly to aid in the discovery of a cure. In this study, the microRNAs (miRNAs) of COVID-19 were annotated to provide a powerful tool for the study of this novel coronavirus. We obtained 16 novel coronavirus genome sequences and the mature sequences of all viruses in the microRNA database (miRbase), and then used the miRNA mature sequences of the virus to perform the Basic Local Alignment Search Tool (BLAST) analysis in the coronavirus genome, extending the matched regions of approximately 20 bp to two segments by 200 bp. Six sequences were obtained after deleting redundant sequences. Then, the hairpin structures of the mature miRNAs were determined using RNAfold. The mature sequence on one hairpin arm was selected into a total of 4 sequences, and finally the relevant miRNA precursor prediction tools were used to verify whether the selected sequences are miRNA precursor sequences of the novel coronavirus. The miRNAs of the novel coronavirus were annotated by our newly developed method, which will lay the foundation for further study of this virus.

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来源期刊
Journal of Electronic Science and Technology
Journal of Electronic Science and Technology Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
0.00%
发文量
1362
审稿时长
99 days
期刊介绍: JEST (International) covers the state-of-the-art achievements in electronic science and technology, including the most highlight areas: ¨ Communication Technology ¨ Computer Science and Information Technology ¨ Information and Network Security ¨ Bioelectronics and Biomedicine ¨ Neural Networks and Intelligent Systems ¨ Electronic Systems and Array Processing ¨ Optoelectronic and Photonic Technologies ¨ Electronic Materials and Devices ¨ Sensing and Measurement ¨ Signal Processing and Image Processing JEST (International) is dedicated to building an open, high-level academic journal supported by researchers, professionals, and academicians. The Journal has been fully indexed by Ei INSPEC and has published, with great honor, the contributions from more than 20 countries and regions in the world.
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