article · Molecular Omics · 2020
Unraveling the RNA modification code with mass spectrometry
Richard Lauman, Benjamin A. García
Cited by 39Open access
Abstract
The discovery and analysis of modifications on proteins and nucleic acids has provided functional information that has rapidly accelerated the field of epigenetics. While protein post-translational modifications (PTMs), especially on histones, have been highlighted as critical components of epigenetics, the post-transcriptional modification of RNA has been a subject of more recently emergent interest. Multiple RNA modifications have been known to be present in tRNA and rRNA since the 1960s, but the exploration of mRNA, small RNA, and inducible tRNA modifications remains nascent. Sequencing-based methods have been essential to the field by creating the first epitranscriptome maps of m<sup>6</sup>A, m<sup>5</sup>C, hm<sup>5</sup>C, pseudouridine, and inosine; however, these methods possess significant limitations. Here, we discuss the past, present, and future of the application of mass spectrometry (MS) to the study of RNA modifications.
Cite this paper
Lauman, R., & García, B. A. (2020). Unraveling the RNA modification code with mass spectrometry. Molecular Omics, 16(4), 305–315. https://doi.org/10.1039/c8mo00247a
Lauman, Richard, and Benjamin A. García. “Unraveling the RNA modification code with mass spectrometry.” Molecular Omics, vol. 16, no. 4, 2020, pp. 305–15, https://doi.org/10.1039/c8mo00247a.
Lauman, Richard, and Benjamin A. García. 2020. “Unraveling the RNA modification code with mass spectrometry.” Molecular Omics 16 (4): 305–15. https://doi.org/10.1039/c8mo00247a.
Lauman, R. and García, B.A. (2020) ‘Unraveling the RNA modification code with mass spectrometry’, Molecular Omics, 16(4), pp. 305–315. Available at: https://doi.org/10.1039/c8mo00247a.
@article{lauman2020unraveling,
title = {{Unraveling the RNA modification code with mass spectrometry}},
author = {Lauman, Richard and García, Benjamin A.},
journal = {Molecular Omics},
volume = {16},
number = {4},
pages = {305--315},
year = {2020},
doi = {10.1039/c8mo00247a}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.