RMBase v3.0: decode the landscape, mechanisms and functions of RNA modifications

Author:

Xuan Jiajia12,Chen Lifan1,Chen Zhirong1,Pang Junjie1,Huang Junhong1,Lin Jinran13,Zheng Lingling1ORCID,Li Bin1ORCID,Qu Lianghu1ORCID,Yang Jianhua1ORCID

Affiliation:

1. MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University , Guangzhou  510275 , China

2. MOE Key Laboratory of Tumor Molecular Biology and Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University , Guangzhou  510632 , China

3. Human Phenome Institute, Fudan University , 825 Zhangheng Road , Shanghai  201203 , China

Abstract

Abstract Although over 170 chemical modifications have been identified, their prevalence, mechanism and function remain largely unknown. To enable integrated analysis of diverse RNA modification profiles, we have developed RMBase v3.0 (http://bioinformaticsscience.cn/rmbase/), a comprehensive platform consisting of eight modules. These modules facilitate the exploration of transcriptome-wide landscape, biogenesis, interactome and functions of RNA modifications. By mining thousands of epitranscriptome datasets with novel pipelines, the ‘RNA Modifications’ module reveals the map of 73 RNA modifications of 62 species. the ‘Genes’ module allows to retrieve RNA modification profiles and clusters by gene and transcript. The ‘Mechanisms’ module explores 23 382 enzyme-catalyzed or snoRNA-guided modified sites to elucidate their biogenesis mechanisms. The ‘Co-localization’ module systematically formulates potential correlations between 14 histone modifications and 6 RNA modifications in various cell-lines. The ‘RMP’ module investigates the differential expression profiles of 146 RNA-modifying proteins (RMPs) in 18 types of cancers. The ‘Interactome’ integrates the interactional relationships between 73 RNA modifications with RBP binding events, miRNA targets and SNPs. The ‘Motif’ illuminates the enriched motifs for 11 types of RNA modifications identified from epitranscriptome datasets. The ‘Tools’ introduces a novel web-based ‘modGeneTool’ for annotating modifications. Overall, RMBase v3.0 provides various resources and tools for studying RNA modifications.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Youth science and technology innovation talent of guangdong TeZhi plan

Guangzhou city

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

Genetics

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