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LEAD-m6 A-seq for Locus-Specific Detection of N6 -Methyladenosine and Quantification of Differential Methylation.


ABSTRACT: N6 -methyladenosine (m6 A) is a crucial RNA chemical mark which plays important roles in various biological processes. The development of highly multiplexed, cost-effective, and easy-to-operate methodologies for locus-specific analysis of m6 A is critical for advancing our understanding of the roles of this modification. Herein, we report a method which builds upon the principle of the previously reported SELECT approach by significantly improving its efficiency and coupling it to next generation sequencing technology for high-throughput validation and detection of m6 A modification at selected sites (LEAD-m6 A-seq). Through probing cDNA extension mediated by Bst DNA polymerase at and near target cellular sites by sequencing, we evaluated m6 A modification at these sites, and estimated differential methylation levels (0-84 %) upon in vitro demethylation by the m6 A demethylase FTO with high reproducibility. We envision that this strategy can be readily used for testing a greater number of sites with a broad dynamic range and modified to study other RNA modifications.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC7902341 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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LEAD-m<sup>6</sup> A-seq for Locus-Specific Detection of N<sup>6</sup> -Methyladenosine and Quantification of Differential Methylation.

Wang Yuru Y   Zhang Zijie Z   Sepich-Poore Caraline C   Zhang Lisheng L   Xiao Yu Y   He Chuan C  

Angewandte Chemie (International ed. in English) 20201110 2


N<sup>6</sup> -methyladenosine (m<sup>6</sup> A) is a crucial RNA chemical mark which plays important roles in various biological processes. The development of highly multiplexed, cost-effective, and easy-to-operate methodologies for locus-specific analysis of m<sup>6</sup> A is critical for advancing our understanding of the roles of this modification. Herein, we report a method which builds upon the principle of the previously reported SELECT approach by significantly improving its efficiency  ...[more]

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