MeT-DB: A database of transcriptome methylation in mammalian cells

Hui Liu, Mario A. Flores, Jia Meng, Lin Zhang, Xinyu Zhao, Manjeet K. Rao, Yidong Chen, Yufei Huang

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Methyltranscriptome is an exciting new area that studies the mechanisms and functions of methylation in transcripts. The MethylTranscriptome DataBase (MeT-DB, is the first comprehensive resource for N6-methyladenosine (m6A) in mammalian transcriptome. It includes a database that records publicaly available data sets frommethylated RNA immunoprecipitation sequencing (MeRIP-Seq), a recently developed technology for interrogating m6A methyltranscriptome. MeT-DB includes ∼300k m6A methylation sites in 74 MeRIP-Seq samples from 22 different experimental conditions predicted by exomePeak and MACS2 algorithms. To explore this rich information, MeT-DB also provides a genome browser to query and visualize context-specific m6A methylation under different conditions. MeT-DB also includes the binding site data of microRNA, splicing factor and RNA binding proteins in the browser windowfor comparison withm6A sites and for exploring the potential functions of m6A. Analysis of differential m6Amethylation and the related differential gene expression under two conditions is also available in the browser. A global perspective of the genome-wide distribution ofm6A methylation in all the data is provided in circular ideograms, which also act as a navigation portal. The query results and the entire data set can be exported to assist publication and additional analysis.

Original languageEnglish (US)
Pages (from-to)D197-D203
JournalNucleic acids research
Issue numberD1
StatePublished - Jan 28 2015

ASJC Scopus subject areas

  • Genetics


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