Literature DB >> 29782154

miCLIP-MaPseq, a Substrate Identification Approach for Radical SAM RNA Methylating Enzymes.

Vanja Stojković1, Tongyue Chu1, Gabriel Therizols1, David E Weinberg1, Danica Galonić Fujimori1,2.   

Abstract

Although present across bacteria, the large family of radical SAM RNA methylating enzymes is largely uncharacterized. Escherichia coli RlmN, the founding member of the family, methylates an adenosine in 23S rRNA and several tRNAs to yield 2-methyladenosine (m2A). However, varied RNA substrate specificity among RlmN enzymes, combined with the ability of certain family members to generate 8-methyladenosine (m8A), makes functional predictions across this family challenging. Here, we present a method for unbiased substrate identification that exploits highly efficient, mechanism-based cross-linking between the enzyme and its RNA substrates. Additionally, by determining that the thermostable group II intron reverse transcriptase introduces mismatches at the site of the cross-link, we have identified the precise positions of RNA modification using mismatch profiling. These results illustrate the capability of our method to define enzyme-substrate pairs and determine modification sites of the largely uncharacterized radical SAM RNA methylating enzyme family.

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Year:  2018        PMID: 29782154      PMCID: PMC7207077          DOI: 10.1021/jacs.8b02618

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  60 in total

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  3 in total

1.  miCLIP-MaPseq Identifies Substrates of Radical SAM RNA-Methylating Enzyme Using Mechanistic Cross-Linking and Mismatch Profiling.

Authors:  Vanja Stojković; David E Weinberg; Danica Galonić Fujimori
Journal:  Methods Mol Biol       Date:  2021

2.  FICC-Seq: a method for enzyme-specified profiling of methyl-5-uridine in cellular RNA.

Authors:  Jean-Michel Carter; Warren Emmett; Igor Rdl Mozos; Annika Kotter; Mark Helm; Jernej Ule; Shobbir Hussain
Journal:  Nucleic Acids Res       Date:  2019-11-04       Impact factor: 16.971

Review 3.  Analysis of RNA Modifications by Second- and Third-Generation Deep Sequencing: 2020 Update.

Authors:  Yuri Motorin; Virginie Marchand
Journal:  Genes (Basel)       Date:  2021-02-16       Impact factor: 4.096

  3 in total

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