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Updated: Jul 26, 2025

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

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Published on: March 5, 2022

Single-cell m⁶A mapping in vivo using picoMeRIP-seq.

Yanjiao Li^1,2, Yunhao Wang^3,4, Maria Vera-Rodriguez^1,5

¹Department of Microbiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.

Nature Biotechnology

|June 22, 2023

Summary

This summary is machine-generated.

We developed picogram-scale m6A RNA immunoprecipitation and sequencing (picoMeRIP-seq) to map RNA methylation in single cells and scarce samples. This method requires minimal RNA, overcoming limitations of current techniques for in vivo studies.

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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

Area of Science:

Molecular Biology
Genomics
Epigenetics

Background:

Current N6-methyladenosine (m6A) mapping techniques require substantial RNA quantities.
Existing methods are often restricted to cultured cell lines, limiting in vivo applications.
There is a need for sensitive m6A detection in scarce biological samples.

Purpose of the Study:

To develop a highly sensitive method for m6A mapping.
To enable m6A profiling in single cells and low-input biological samples.
To facilitate in vivo studies of m6A modification.

Main Methods:

Optimized sample recovery and signal-to-noise ratio for immunoprecipitation.
Developed picogram-scale m6A RNA immunoprecipitation and sequencing (picoMeRIP-seq).
Utilized standard laboratory equipment for accessibility.

Main Results:

Successfully mapped m6A at picogram RNA levels.
Demonstrated the method's efficacy in titrations of poly(A) RNA and embryonic stem cells.
Applied picoMeRIP-seq to single zebrafish zygotes, mouse oocytes, and embryos.

Conclusions:

picoMeRIP-seq significantly reduces the RNA input requirement for m6A mapping.
The method allows for in vivo m6A profiling in single cells and rare cell populations.
picoMeRIP-seq provides a valuable tool for studying m6A dynamics in diverse biological contexts.