Identification of Methylated Transcripts Using the TRIBE Approach.

Détails

ID Serval
serval:BIB_B94DC9370F47
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Identification of Methylated Transcripts Using the TRIBE Approach.
Périodique
Methods in molecular biology
Auteur(s)
Worpenberg L., Jakobi T., Dieterich C., Roignant J.Y.
ISSN
1940-6029 (Electronic)
ISSN-L
1064-3745
Statut éditorial
Publié
Date de publication
2019
Peer-reviewed
Oui
Volume
1870
Pages
89-106
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
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.
Mots-clé
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
Création de la notice
28/10/2019 12:32
Dernière modification de la notice
29/10/2019 6:26
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