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Updated: Jun 13, 2026

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

Quantitative analysis of RNA modifications.

John Karijolich¹, Athena Kantartzis, Yi-Tao Yu

¹Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY, USA.

Methods in Molecular Biology (Clifton, N.J.)

|April 14, 2010

Summary

This summary is machine-generated.

This study details a novel procedure for detecting and quantifying RNA base modifications, crucial for understanding cellular processes like pre-mRNA splicing and protein synthesis.

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Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry

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Last Updated: Jun 13, 2026

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

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

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Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry

Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry

Published on: April 21, 2022

Area of Science:

Molecular Biology
Biochemistry
Genetics

Background:

RNA modifications play critical roles in regulating gene expression and protein synthesis.
Understanding the functional impact of RNA modifications requires precise detection and quantification methods.

Purpose of the Study:

To present a detailed methodology for the detection and quantification of RNA base modifications.
To provide researchers with a reliable protocol for analyzing RNA modification patterns.

Main Methods:

Oligonucleotide-affinity selection for isolating modified RNA species.
Site-specific cleavage and radiolabeling for precise localization.
Nuclease digestion to break down RNA into manageable fragments.
Thin-layer chromatography for separation and quantification of modified bases.

Main Results:

The developed procedure enables accurate detection of RNA base modifications.
The protocol allows for the quantification of the extent of RNA modifications.
This method provides a robust tool for studying RNA modification dynamics.

Conclusions:

The presented procedure offers a comprehensive approach to studying RNA base modifications.
This methodology is essential for elucidating the mechanisms by which RNA modifications influence cellular functions.
The ability to detect and quantify RNA modifications advances our understanding of gene regulation and disease.