Identification of Methylated Transcripts Using the TRIBE Approach.

Details

Serval ID
serval:BIB_B94DC9370F47
Type
Article: article from journal or magazin.
Collection
Publications
Title
Identification of Methylated Transcripts Using the TRIBE Approach.
Journal
Methods in molecular biology
Author(s)
Worpenberg L., Jakobi T., Dieterich C., Roignant J.Y.
ISSN
1940-6029 (Electronic)
ISSN-L
1064-3745
Publication state
Published
Issued date
2019
Peer-reviewed
Oui
Volume
1870
Pages
89-106
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
m <sup>6</sup> A 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
Cloning, Molecular, Computational Biology/methods, Gene Editing, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Methylation, RNA Processing, Post-Transcriptional, RNA, Messenger/genetics, RNA, Messenger/isolation & purification, RNA, Messenger/metabolism, Software, Transcriptome, Editing, TRIBE, dAdar, m6A, mRNA modification
Pubmed
Create date
28/10/2019 12:32
Last modification date
29/10/2019 6:26
Usage data