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Updated: Sep 5, 2025

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

Resolving m⁶A epitranscriptome with stoichiometry.

Ki-Jun Yoon¹, Yoon Ki Kim²

¹Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; KAIST Stem Cell Center, KAIST, Daejeon 34141, Republic of Korea.

Trends in Genetics : TIG

|July 6, 2022

Summary

This summary is machine-generated.

A new method called m6A-SAC-seq enables precise measurement of N6-methyladenosine (m6A) RNA modifications. This technique allows quantitative analysis of m6A stoichiometry across the entire transcriptome.

Keywords:

chemical-assisted sequencing m(6)A modification m(6)A-SAC-seq quantitative analysis stoichiometry

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2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

Published on: July 10, 2020

Area of Science:

Molecular Biology
Epigenetics
Transcriptomics

Background:

N6-methyladenosine (m6A) is a crucial RNA modification involved in gene regulation.
Understanding m6A dynamics is essential for deciphering cellular processes.
Existing methods have limitations in quantifying m6A stoichiometry and positional information.

Purpose of the Study:

To introduce a novel technique, m6A-selective allyl chemical labeling and sequencing (m6A-SAC-seq).
To enable quantitative, stoichiometric, and single-nucleotide resolution analysis of m6A modifications.
To facilitate comprehensive transcriptome-wide m6A profiling.

Main Methods:

Development of m6A-selective allyl chemical labeling.
Application of sequencing technology for m6A detection.
Integration of quantitative and stoichiometric analysis.

Main Results:

m6A-SAC-seq provides accurate quantification of m6A modification levels.
The method achieves single-nucleotide resolution for m6A mapping.
Transcriptome-wide analysis of m6A stoichiometry is now feasible.

Conclusions:

m6A-SAC-seq is a powerful tool for studying m6A RNA modifications.
Stoichiometric information of m6A enhances understanding of gene regulation.
This technique opens new avenues for investigating m6A-mediated biological events.