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The epitranscriptome toolbox
Author(s) -
Sharon Moshitch-Moshkovitz,
Dan Dominissini,
Gideon Rechavi
Publication year - 2022
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2022.02.007
Subject(s) - biology , toolbox , computational biology , evolutionary biology , computer science , programming language
In the last decade, the notion that mRNA modifications are involved in regulation of gene expression was demonstrated in thousands of studies. To date, new technologies and methods allow accurate identification, transcriptome-wide mapping, and functional characterization of a growing number of RNA modifications, providing important insights into the biology of these marks. Most of the methods and approaches were developed for studying m 6 A, the most prevalent internal mRNA modification. However, unique properties of other RNA modifications stimulated the development of additional approaches. In this technical primer, we will discuss the available tools and approaches for detecting and studying different RNA modifications.

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