Liu, Hui, Wang, Huaizhi, Wei, Zhen, Zhang, Songyao, Hua, Gang, Zhang, Shao-Wu, Zhang, Lin, Gao, Shou-Jiang, Meng, Jia 
ORCID: 0000-0003-3455-205X, Chen, Xing et al (show 1 more authors)
(2018)
MeT-DB V2.0: elucidating context-specific functions of <i>N</i><SUP>6</SUP>-methyl-adenosine methyltranscriptome.
NUCLEIC ACIDS RESEARCH, 46 (D1).
D281-D287.
Abstract
Methyltranscriptome is an exciting new area that studies the mechanisms and functions of methylation in transcripts. A knowledge base with the systematic collection and curation of context specific transcriptome-wide methylations is critical for elucidating their biological functions as well as for developing bioinformatics tools. Since its inception in 2014, the Met-DB (Liu, H., Flores, M.A., Meng, J., Zhang, L., Zhao, X., Rao, M.K., Chen, Y. and Huang, Y. (2015) MeT-DB: a database of transcriptome methylation in mammalian cells. Nucleic Acids Res., 43, D197-D203), has become an important resource for methyltranscriptome, especially in the N6-methyl-adenosine (m6A) research community. Here, we report Met-DB v2.0, the significantly improved second version of Met-DB, which is entirely redesigned to focus more on elucidating context-specific m6A functions. Met-DB v2.0 has a major increase in context-specific m6A peaks and single-base sites predicted from 185 samples for 7 species from 26 independent studies. Moreover, it is also integrated with a new database for targets of m6A readers, erasers and writers and expanded with more collections of functional data. The redesigned Met-DB v2.0 web interface and genome browser provide more friendly, powerful, and informative ways to query and visualize the data. More importantly, MeT-DB v2.0 offers for the first time a series of tools specifically designed for understanding m6A functions. Met-DB V2.0 will be a valuable resource for m6A methyltranscriptome research. The Met-DB V2.0 database is available at http://compgenomics.utsa.edu/MeTDB/ and http://www.xjtlu.edu.cn/metdb2.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Animals, Humans, Mice, RNA-Binding Proteins, MicroRNAs, RNA, RNA, Messenger, Adenosine, Methylation, Databases, Genetic, Transcriptome |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Feb 2019 10:58 |
| Last Modified: | 07 Oct 2023 16:24 |
| DOI: | 10.1093/nar/gkx1080 |
| Open Access URL: | https://doi.org/10.1093/nar/gkx1080 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3033143 |
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