MeT-DB V2.0: Elucidating context-specific functions of N 6 -methyl-adenosine methyltranscriptome

Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao Wu Zhang, Lin Zhang, Shou Jiang Gao, Jia Meng, Xing Chen, Yufei Huang*

*Corresponding author for this work

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99 Citations (Scopus)


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 N 6 -methyl-adenosine (m 6 A) 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 m 6 A functions. Met-DB v2.0 has a major increase in context-specific m 6 A 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 m 6 A 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 m 6 A functions. Met-DB V2.0 will be a valuable resource for m 6 A methyltranscriptome research. The Met-DB V2.0 database is available at and

Original languageEnglish
Pages (from-to)D281-D287
JournalNucleic Acids Research
Issue numberD1
Publication statusPublished - 1 Jan 2018

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