Recent advances in functional annotation and prediction of the epitranscriptome



Zhang, Song-Yao, Zhang, Shao-Wu, Zhang, Teng, Fan, Xiao-Nan and Meng, Jia ORCID: 0000-0003-3455-205X
(2021) Recent advances in functional annotation and prediction of the epitranscriptome. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 19. pp. 3015-3026.

Access the full-text of this item by clicking on the Open Access link.
[img] Text
Recent advances in functional annotation and prediction of the epitranscriptome.pdf - Published version

Download (959kB) | Preview

Abstract

RNA modifications, in particular <i>N</i> <sup>6</sup>-methyladenosine (m<sup>6</sup>A), participate in every stages of RNA metabolism and play diverse roles in essential biological processes and disease pathogenesis. Thanks to the advances in sequencing technology, tens of thousands of RNA modification sites can be identified in a typical high-throughput experiment; however, it remains a major challenge to decipher the functional relevance of these sites, such as, affecting alternative splicing, regulation circuit in essential biological processes or association to diseases. As the focus of RNA epigenetics gradually shifts from site discovery to functional studies, we review here recent progress in functional annotation and prediction of RNA modification sites from a bioinformatics perspective. The review covers naïve annotation with associated biological events, e.g., single nucleotide polymorphism (SNP), RNA binding protein (RBP) and alternative splicing, prediction of key sites and their regulatory functions, inference of disease association, and mining the diagnosis and prognosis value of RNA modification regulators. We further discussed the limitations of existing approaches and some future perspectives.

Item Type: Article
Uncontrolled Keywords: Functional epitranscriptome, RNA modification, Bioinformatics approaches, Recent advances, Future perspective
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 17 Jan 2022 16:37
Last Modified: 18 Jan 2023 21:15
DOI: 10.1016/j.csbj.2021.05.030
Open Access URL: https://www.sciencedirect.com/science/article/pii/...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3147051