| 摘要: |
| RNA编辑是一个十分重要的生物细胞分子机制。作为转录后修饰的一步,它可以增加蛋白质组学多样性,改变转录产物的稳定性,调节基因表达等。RNA编辑失调会导致各种疾病,包括神经疾病和癌症。在动物中,腺苷到肌苷(A-to-I)的编辑是最普遍的。高通量测序技术的进步大大提高了在全局范围内检测和量化RNA编辑的能力,使得RNA编辑的大规模全基因组分析变得可行,产生了一系列基于高通量测序技术的RNA编辑位点预测方法。通过对这些方法进行介绍、总结和分析,为RNA编辑的进一步研究提供一些思路。 |
| 关键词: RNA编辑 高通量测序 A-to-I 机器学习 |
| DOI：10.12113/j.issn.1672-5565.201809002 |
| 分类号:Q522+.6 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(No.11631014; No.91730301;No.11661141019). |
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| Review: prediction of RNA editing sites based on machine learning |
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LENG Jiacheng1,2,WU Lingyun1,2
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( 1. Academy of Mathematics and Systems Science, Institute of Applied Mathematics, Chinese Academy of Science, Key Laboratory of Management, Decision and Information Systems, National Center for Mathematics and Interdisciplinary Sciences, Beijing 100190, China;2.School of Mathematics Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)
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| Abstract: |
| RNA editing is an important molecular mechanism of biological cells. As a step of post-transcriptional modification, it can increase proteomic diversity, alter the stability of transcription products, regulate gene expression, and so on. RNA editing disorders can lead to a variety of diseases, including neurological diseases and cancer. Among animals, the editing of adenosine to inosine (A-to-I) is the commonest. Advances in high-throughput sequencing technology have greatly improved the ability to detect and quantify RNA editing globally, which can make large-scale genome-wide analysis of RNA editing feasible, thereby resulting in a series of prediction methods of RNA editing sites based on high-throughput sequencing technology. This article will introduce and summarize these methods and provide new perspectives for further research of RNA editing. |
| Key words: RNA editing High-throughput sequencing A-to-I Machine learning |
