Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

tModBase

General information

URL: https://www.tmodbase.com/
Full name: tRNA modification database
Description: tModBase is designed for deciphering the landscape of tRNA modification profiles from epitranscriptome data. It provide new insights into the features of tRNA modifications and the biological pathways in which they participate.
Year founded: 2022
Last update:
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Sun Yat-Sen University
Address: MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China.
City: Guangzhou
Province/State:
Country/Region: China
Contact name (PI/Team): Ling-Ling Zheng
Contact email (PI/Helpdesk): zhengll33@mail.sysu.edu.cn

Publications

36408909
tModBase: deciphering the landscape of tRNA modifications and their dynamic changes from epitranscriptome data. [PMID: 36408909]
Hao-Tian Lei, Zhang-Hao Wang, Bin Li, Yang Sun, Shi-Qiang Mei, Jian-Hua Yang, Liang-Hu Qu, Ling-Ling Zheng

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.

Nucleic Acids Res. 2023:51(D1) | 21 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
1395/6895 (79.782%)
Modification:
78/337 (77.151%)
Pathway:
84/451 (81.596%)
1395
Total Rank
20
Citations
10
z-index

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Record metadata

Created on: 2023-08-23
Curated by:
Yuxin Qin [2023-09-12]
Xinyu Zhou [2023-09-08]
Yue Qi [2023-08-23]