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A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues
Published on: December 5, 2016
Transcriptome-wide mapping of N(6)-methyladenosine by m(6)A-seq based on immunocapturing and massively parallel
Dan Dominissini1, Sharon Moshitch-Moshkovitz, Mali Salmon-Divon
1Cancer Research Center, Chaim Sheba Medical Center, Tel Hashomer, Israel.
Nature Protocols
|January 5, 2013
Summary
N(6)-methyladenosine-sequencing (m(6)A-seq) provides a high-resolution, transcriptome-wide map of RNA methylation. This novel protocol reveals the nonrandom distribution of m(6)A across genes in human and mouse transcriptomes.
Area of Science:
- Molecular Biology
- Epigenetics
- Genomics
Background:
- N(6)-methyladenosine (m(6)A) is a prevalent and crucial RNA modification.
- Understanding the global distribution of m(6)A is essential for deciphering its regulatory roles.
- Existing methods lack the resolution and unbiased nature to map m(6)A comprehensively.
Purpose of the Study:
- To introduce and validate a novel, high-resolution method for transcriptome-wide m(6)A mapping.
- To provide a global view of m(6)A localization across RNA transcripts.
- To identify principles governing the distribution of m(6)A in eukaryotic transcriptomes.
Main Methods:
- N(6)-methyladenosine-sequencing (m(6)A-seq), an immunocapturing approach.
- Antibody-mediated enrichment of methylated RNA fragments followed by massively parallel sequencing.
- Comparison of immunoprecipitated RNA read densities against input controls, analogous to ChIP-seq and MeDIP.
Main Results:
- m(6)A-seq successfully generated comprehensive m(6)A methylation profiles in human and mouse transcriptomes.
- The protocol identified consensus motifs and their precise locations relative to enrichment peaks.
- Analysis revealed nonrandom distribution patterns of m(6)A within and between gene transcripts.
Conclusions:
- m(6)A-seq is a robust and efficient protocol for unbiased, high-resolution mapping of m(6)A.
- The study revealed fundamental principles governing the distribution of m(6)A.
- This method enables a global understanding of m(6)A regulation and function.

