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Methods Mol Biol. 2019;1870:89-106. doi: 10.1007/978-1-4939-8808-2_7.

Identification of Methylated Transcripts Using the TRIBE Approach.

Author information

1
Laboratory of RNA Epigenetics, Institute of Molecular Biology (IMB), Mainz, Germany.
2
Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany.
3
DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany.
4
Department of Internal Medicine III, University Hospital Heidelberg, Heidelberg, Germany. christoph.dieterich@uni-heidelberg.de.
5
DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany. christoph.dieterich@uni-heidelberg.de.
6
Laboratory of RNA Epigenetics, Institute of Molecular Biology (IMB), Mainz, Germany. j.roignant@imb-mainz.de.

Abstract

m6A is the most abundant internal modification on mRNA. Recent improvements of high-throughput sequencing techniques enables its detection at the transcriptome level, even at the nucleotide resolution. However most current techniques require large amounts of starting material to detect the modification. Here, we describe a complementary technique of standard meRIP-seq/miCLIP-seq approaches to identify methylated RNA using a low amount of material. We believe this approach can be applied in vivo to identify methylated targets in specific tissues or subpopulations of cells.

KEYWORDS:

Editing; TRIBE; dAdar; m6A; mRNA modification

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