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Related Experiment Video

Updated: Dec 23, 2025

A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues

A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues

Published on: December 5, 2016

A metabolic labeling method detects m⁶A transcriptome-wide at single base resolution.

Xiao Shu¹, Jie Cao¹, Mohan Cheng¹

¹MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.

Nature Chemical Biology

|April 29, 2020

Summary

This summary is machine-generated.

A new method called m6A-label-seq enables precise mapping of N6-methyladenosine (m6A) modifications across the entire transcriptome. This breakthrough allows for a deeper understanding of m6A

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Last Updated: Dec 23, 2025

A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues

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Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

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Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

Area of Science:

Epigenetics
RNA Biology
Molecular Biology

Background:

N6-methyladenosine (m6A) is a crucial epitranscriptomic modification.
Accurate transcriptome-wide mapping of m6A at base resolution is challenging.
Understanding m6A's nucleotide-level roles requires precise detection methods.

Purpose of the Study:

To develop a novel metabolic labeling method for base-resolution m6A mapping.
To introduce 'm6A-label-seq' for transcriptome-wide m6A detection.
To overcome limitations of existing m6A sequencing techniques.

Main Methods:

Metabolic labeling of human and mouse cells with Se-allyl-L-selenohomocysteine, a methionine analog.
Incorporation of N6-allyladenosine (a6A) into cellular RNAs at potential m6A sites.
Detection of a6A via iodination-induced misincorporation during complementary DNA synthesis in reverse transcription.

Main Results:

Identification of thousands of mRNA m6A sites in human and mouse cell lines.
Demonstration of m6A-label-seq's capability to detect clustered m6A sites.
Validation of identified sites using an orthogonal method and comparison with existing m6A sequencing techniques.

Conclusions:

m6A-label-seq provides base-resolution transcriptome-wide m6A mapping.
The method facilitates the study of m6A roles at the nucleotide level.
m6A-label-seq shows potential for mapping m6A modifications in nuclear nascent RNA.