m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome

Author:

Ma Jiongming12,Song Bowen34,Wei Zhen25,Huang Daiyun26,Zhang Yuxin2,Su Jionglong7,de Magalhães João Pedro5,Rigden Daniel J4,Meng Jia284ORCID,Chen Kunqi1ORCID

Affiliation:

1. Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China

2. Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China

3. Department of Mathematical Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China

4. Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 7ZB, Liverpool, UK

5. Institute of Ageing & Chronic Disease, University of Liverpool, L69 7ZB, Liverpool, UK

6. Department of Computer Science, University of Liverpool, L69 7ZB, Liverpool, UK

7. School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China

8. AI University Research Centre, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China

Abstract

Abstract 5-Methylcytosine (m5C) is one of the most prevalent covalent modifications on RNA. It is known to regulate a broad variety of RNA functions, including nuclear export, RNA stability and translation. Here, we present m5C-Atlas, a database for comprehensive collection and annotation of RNA 5-methylcytosine. The database contains 166 540 m5C sites in 13 species identified from 5 base-resolution epitranscriptome profiling technologies. Moreover, condition-specific methylation levels are quantified from 351 RNA bisulfite sequencing samples gathered from 22 different studies via an integrative pipeline. The database also presents several novel features, such as the evolutionary conservation of a m5C locus, its association with SNPs, and any relevance to RNA secondary structure. All m5C-atlas data are accessible through a user-friendly interface, in which the m5C epitranscriptomes can be freely explored, shared, and annotated with putative post-transcriptional mechanisms (e.g. RBP intermolecular interaction with RNA, microRNA interaction and splicing sites). Together, these resources offer unprecedented opportunities for exploring m5C epitranscriptomes. The m5C-Atlas database is freely accessible at https://www.xjtlu.edu.cn/biologicalsciences/m5c-atlas.

Funder

National Natural Science Foundation of China

XJTLU Key Program Special Fund

School of Basic Medical Sciences, Fujian Medical University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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