Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

M6ADD

General information

URL: http://m6add.edbc.org
Full name:
Description: m6ADD is a database containing manually collected experimentally confirmed m6A-disease data and data obtained from high-throughput disease m6A modification profiles, aimed at exploring the association between m6A modified gene disorders and diseases.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Harbin Institute of Technology
Address:
City: harbin
Province/State: heilongjiang
Country/Region: China
Contact name (PI/Team): Yan Zhang
Contact email (PI/Helpdesk): zhangtyo@hit.edu.cn

Publications

33906563
M6ADD: a comprehensive database of mA modifications in diseases. [PMID: 33906563]
Dianshuang Zhou, Hongli Wang, Fanqi Bi, Jie Xing, Yue Gu, Cong Wang, Menyan Zhang, Yan Huang, Jiaqi Zeng, Qiong Wu, Yan Zhang

N6-methyladenosine (mA) modification is an important regulatory factor affecting diseases, including multiple cancers and it is a developing direction for targeted disease therapy. Here, we present the M6ADD (mA-diseases database) database, a public data resource containing manually curated data on potential mA-disease associations for which some experimental evidence is available; the related high-throughput sequencing data are also provided and analysed by using different computational methods. To give researchers a tool to query the m6A modification data, the M6ADD was designed as a web-based comprehensive resource focusing on the collection, storage and online analysis of m6A modifications, aimed at exploring the associations between m6A modification and gene disorders and diseases. The M6ADD includes 222 experimentally confirmed mA-disease associations, involving 59 diseases from a review of more than 2000 published papers. The M6ADD also includes 409,229 mA-disease associations obtained by computational and statistical methods from 30 high-throughput sequencing datasets. In addition, we provide data on 5239 potential mA regulatory proteins related to 24 cancers based on network analysis prediction methods. In addition, we have developed a tool to explore the function of mA-modified genes through the protein-protein interaction networks. The M6ADD can be accessed at http://m6add.edbc.org/.

RNA Biol. 2021:() | 7 Citations (from Europe PMC, 2026-06-06)

Ranking

All databases:
4561/6932 (34.218%)
Modification:
267/338 (21.302%)
Health and medicine:
1150/1756 (34.567%)
Literature:
392/577 (32.236%)
4561
Total Rank
7
Citations
1.4
z-index

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Record metadata

Created on: 2022-04-20
Curated by:
Lin Liu [2022-06-07]
Qianpeng Li [2022-05-15]
Yuxin Qin [2022-04-20]