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M6ADD: a comprehensive database of m6A modifications in diseases
Dianshuang Zhou1, Hongli Wang1, Fanqi Bi1
1School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin, Heilongjiang, China.
RNA Biology
|April 28, 2021
Summary
N6-methyladenosine (m6A) modification impacts diseases, including cancer. The M6ADD database provides curated and predicted m6A-disease associations, aiding research into targeted therapies.
Area of Science:
- Epigenetics and Molecular Biology
- Computational Biology and Bioinformatics
- Genomics and Disease Research
Background:
- N6-methyladenosine (m6A) is a crucial epitranscriptomic modification regulating gene expression and implicated in various diseases, notably cancers.
- Understanding m6A-disease associations is vital for developing novel therapeutic strategies.
- Existing resources lack comprehensive, integrated data on m6A modifications and their links to human diseases.
Purpose of the Study:
- To establish a public, web-based database, M6ADD (m6A-diseases database), for curated and predicted m6A-disease associations.
- To provide researchers with a comprehensive tool for querying, analyzing, and exploring m6A modification data.
- To facilitate the investigation of the functional roles of m6A modifications in gene disorders and diseases.
Main Methods:
- Manual curation of over 2000 publications to identify experimentally confirmed m6A-disease associations.
- Application of computational and statistical methods to analyze 30 high-throughput sequencing datasets for predicted m6A-disease associations.
- Network analysis prediction methods to identify potential m6A regulatory proteins in 24 cancers.
- Development of a tool for exploring m6A-modified gene functions via protein-protein interaction networks.
Main Results:
- The M6ADD database contains 222 experimentally validated m6A-disease associations across 59 diseases.
- An additional 409,229 m6A-disease associations were computationally predicted from 30 high-throughput sequencing datasets.
- Data on 5,239 potential m6A regulatory proteins linked to 24 cancers are included.
- A functional exploration tool based on protein-protein interaction networks is available.
Conclusions:
- M6ADD serves as a valuable, publicly accessible resource for m6A-disease association research.
- The database integrates experimental and computational findings, offering a broad perspective on m6A's role in disease.
- M6ADD supports the exploration of m6A modifications as potential therapeutic targets for various diseases, including cancers.
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