Liang, Zhanmin, Ye, Haokai, Ma, Jiongming, Wei, Zhen, Wang, Yue, Zhang, Yuxin, Huang, Daiyun, Song, Bowen, Meng, Jia 
ORCID: 0000-0003-3455-205X, Rigden, Daniel J ORCID: 0000-0002-7565-8937 et al (show 1 more authors)
(2023)
m(6) A-Atlas v2.0: updated resources for unraveling the N 6-methyladenosine (m(6)A) epitranscriptome among multiple species.
NUCLEIC ACIDS RESEARCH, 52 (D1).
D194-D202.
Abstract
N 6-Methyladenosine (m6A) is one of the most abundant internal chemical modifications on eukaryote mRNA and is involved in numerous essential molecular functions and biological processes. To facilitate the study of this important post-transcriptional modification, we present here m6A-Atlas v2.0, an updated version of m6A-Atlas. It was expanded to include a total of 797 091 reliable m6A sites from 13 high-resolution technologies and two single-cell m6A profiles. Additionally, three methods (exomePeaks2, MACS2 and TRESS) were used to identify >16 million m6A enrichment peaks from 2712 MeRIP-seq experiments covering 651 conditions in 42 species. Quality control results of MeRIP-seq samples were also provided to help users to select reliable peaks. We also estimated the condition-specific quantitative m6A profiles (i.e. differential methylation) under 172 experimental conditions for 19 species. Further, to provide insights into potential functional circuitry, the m6A epitranscriptomics were annotated with various genomic features, interactions with RNA-binding proteins and microRNA, potentially linked splicing events and single nucleotide polymorphisms. The collected m6A sites and their functional annotations can be freely queried and downloaded via a user-friendly graphical interface at: http://rnamd.org/m6a.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | RNA, Messenger, RNA Processing, Post-Transcriptional, RNA Splicing, Databases, Genetic, Transcriptome, RNA Methylation |
| Divisions: | Faculty of Health and Life Sciences Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Oct 2023 09:33 |
| Last Modified: | 23 Jan 2024 17:58 |
| DOI: | 10.1093/nar/gkad691 |
| Open Access URL: | https://doi.org/10.1093/nar/gkad691 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3173279 |
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