ADeditome
ADeditome maps A-to-I RNA editing events in Alzheimer's disease to annotate their genomic locations and potential functional impacts.
Key Features:
- Extensive Database: catalogs 1,676,363 A-to-I RNA editing sites detected across 1,524 samples from nine brain regions using data from ROSMAP, MayoRNAseq, and MSBB.
- Functional Annotations: provides annotations linking edits to AD stages and to effects on gene expression, protein recoding, alternative splicing, and miRNA regulation, with emphasis on Alzheimer's-related genes.
- Pathological Insights: identifies 108,010 editing events predicted to promote AD progression, 26,168 events predicted to inhibit progression, and 5,582 brain-region-specific events with dual roles.
- Multi-layer Data Integration: integrates multiple layers of genomic data to support comprehensive functional annotation of RNA edits.
- Systematic Detection: applies advanced bioinformatics techniques for systematic detection and annotation of A-to-I editing events.
Scientific Applications:
- Pathology Exploration: enables investigation of molecular mechanisms underlying AD by linking specific RNA edits to gene function and brain-region specificity.
- Precision Medicine: supports identification of individualized therapeutic targets by associating particular RNA edits with disease progression and region-specific effects.
- Drug Research: facilitates discovery of therapeutic strategies aimed at modulating A-to-I RNA editing processes relevant to AD.
Methodology:
Employs advanced bioinformatics techniques to systematically detect and annotate A-to-I RNA editing events and integrates multiple layers of genomic data for comprehensive functional annotation.
Topics
Details
- Tool Type:
- web application
- Added:
- 3/19/2021
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Alternative splicing prediction
Publications
Wu S, Yang M, Kim P, Zhou X. ADeditome provides the genomic landscape of A-to-I RNA editing in Alzheimer’s disease. Briefings in Bioinformatics. 2021;22(5). doi:10.1093/bib/bbaa384. PMID:33401309. PMCID:PMC8424397.
DOI: 10.1093/bib/bbaa384
PMID: 33401309
PMCID: PMC8424397
Funding: - National Institutes of Health: R01CA241930, R01GM123037, U01AR069395-01A1