An Overview of Current Detection Methods for RNA Methylation

Int J Mol Sci. 2024 Mar 7;25(6):3098. doi: 10.3390/ijms25063098.

Abstract

Epitranscriptomic mechanisms, which constitute an important layer in post-transcriptional gene regulation, are involved in numerous cellular processes under health and disease such as stem cell development or cancer. Among various such mechanisms, RNA methylation is considered to have vital roles in eukaryotes primarily due to its dynamic and reversible nature. There are numerous RNA methylations that include, but are not limited to, 2'-O-dimethyladenosine (m6Am), N7-methylguanosine (m7G), N6-methyladenosine (m6A) and N1-methyladenosine (m1A). These biochemical modifications modulate the fate of RNA by affecting the processes such as translation, target site determination, RNA processing, polyadenylation, splicing, structure, editing and stability. Thus, it is highly important to quantitatively measure the changes in RNA methylation marks to gain insight into cellular processes under health and disease. Although there are complicating challenges in identifying certain methylation marks genome wide, various methods have been developed recently to facilitate the quantitative measurement of methylated RNAs. To this end, the detection methods for RNA methylation can be classified in five categories such as antibody-based, digestion-based, ligation-based, hybridization-based or direct RNA-based methods. In this review, we have aimed to summarize our current understanding of the detection methods for RNA methylation, highlighting their advantages and disadvantages, along with the current challenges in the field.

Keywords: RNA methylation; detection of site-specific methylation; detection of total RNA methylation; epitranscriptomics; m1A; m5C; m6A.

Publication types

  • Review

MeSH terms

  • Eukaryota / metabolism
  • Gene Expression Regulation
  • Methylation
  • RNA Methylation*
  • RNA Processing, Post-Transcriptional
  • RNA* / genetics
  • RNA* / metabolism

Substances

  • RNA