tModBase: deciphering the landscape of tRNA modifications and their dynamic changes from epitranscriptome data.

tModBase: deciphering the landscape of tRNA modifications and their dynamic changes from epitranscriptome data.
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tModBase:从表观转录组数据中解读 tRNA 修饰的概况及其动态变化

DOI:
10.1093/nar/gkac1087
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发表时间:
2023-01-06
影响因子:
14.9
通讯作者:
Zheng, Ling-Ling
Zheng, Ling-Ling
中科院分区:
生物学2区
文献类型:
--
作者:
Lei, Hao-Tian;Wang, Zhang-Hao;Li, Bin;Sun, Yang;Mei, Shi-Qiang;Yang, Jian-Hua;Qu, Liang-Hu;Zheng, Ling-Ling

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tRNA molecules contain dense, abundant modifications that affect tRNA structure, stability, mRNA decoding and tsRNA formation. tRNA modifications and related enzymes are responsive to environmental cues and are associated with a range of physiological and pathological processes. However, there is a lack of resources that can be used to mine and analyse these dynamically changing tRNA modifications. In this study, we established tModBase (https://www.tmodbase.com/) for deciphering the landscape of tRNA modification profiles from epitranscriptome data. We analysed 103 datasets generated with second- and third-generation sequencing technologies and illustrated the misincorporation and termination signals of tRNA modification sites in ten species. We thus systematically demonstrate the modification profiles across different tissues/cell lines and summarize the characteristics of tRNA-associated human diseases. By integrating transcriptome data from 32 cancers, we developed novel tools for analysing the relationships between tRNA modifications and RNA modification enzymes, the expression of 1442 tRNA-derived small RNAs (tsRNAs), and 654 DNA variations. Our database will provide new insights into the features of tRNA modifications and the biological pathways in which they participate.
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