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MeT-DB V2.0: Elucidating Context-Specific Functions of N6-Methyl-Adenosine Methyltranscriptome

  • Hui Liu
  • , Jiani Ma
  • , Jia Meng
  • , Lin Zhang*
  • *Corresponding author for this work
    • China University of Mining and Technology

    Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

    5 Citations (Scopus)

    Abstract

    N6-methyladenosine (m6A) is the most prevalent posttranscriptional modification in eukaryotes and plays a pivotal role in various biological processes. 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. In this chapter, we present a comprehensive platform MeT-DB V2.0 for elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Met-DB V2.0 database contains 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 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. The MeT-DB V2.0 web server is freely available at: http://compgenomics.utsa.edu/MeTDB and www.xjtlu.edu.cn/metdb2.

    Original languageEnglish
    Title of host publicationMethods in Molecular Biology
    PublisherHumana Press Inc.
    Pages507-518
    Number of pages12
    DOIs
    Publication statusPublished - 2021

    Publication series

    NameMethods in Molecular Biology
    Volume2284
    ISSN (Print)1064-3745
    ISSN (Electronic)1940-6029

    Keywords

    • Epitranscriptome
    • MicroRNA
    • N6-methyladenosine (mA)
    • RNA modifications
    • Single-nucleotide polymorphisms (SNPs)
    • Splicing factors

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