PRES
PRES analyzes functional perturbations associated with adenosine-to-inosine (A-to-I) RNA editing sites to characterize their downstream regulatory, structural, and pathway impacts.
Key Features:
- Editome Profiling: Accepts editome profiles derived from RNA-Seq across sample groups and annotates RNA editing sites with respect to genomic elements.
- Differential Editing Site Detection: Identifies differential A-to-I RNA editing sites across samples using user-selected methods and thresholds.
- Functional Perturbation Characterization: Assesses impacts of differential editing on miRNA and RNA-binding protein regulation, RNA and protein structure modifications, and disrupted biological pathways.
- Gene Prioritization: Ranks genes based on the predicted functional impacts of their associated RNA editing events.
- Annotation Integration: Integrates genomic annotations with RNA editing data to contextualize editing events relative to genes and regulatory elements.
Scientific Applications:
- Regulatory Mechanism Studies: Dissects how A-to-I RNA editing alters miRNA and RBP interactions and RNA/protein structure to affect regulation.
- Disease Mechanism and Progression Analysis: Supports investigation of editing perturbations observed across human diseases to explore their contributions to pathology and progression.
- Biomarker and Target Prioritization: Enables prioritization of genes and editing events as candidate biomarkers or therapeutic targets based on functional impact.
Methodology:
Performs editome profiling, differential RNA editing site detection, and functional perturbation analysis by integrating genomic annotations with computational analyses of RNA editing data.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 9/4/2022
- Last Updated:
- 9/4/2022
Operations
Publications
Lv D, Xu K, Yang C, Liu Y, Luo Y, Zhou W, Zou H, Cai Y, Ding N, Li X, Shao T, Li Y, Xu J. PRES: a webserver for decoding the functional perturbations of RNA editing sites. Briefings in Bioinformatics. 2022;23(4). doi:10.1093/bib/bbac242. PMID:35722704.
DOI: 10.1093/BIB/BBAC242
PMID: 35722704
Funding: - National Natural Science Foundation of China: 31871338, 31970646, 32060152, 32070673, 32170676, 61873075
- Hainan Province Science and Technology Special Fund: ZDYF2021SHFZ051
- Hainan Provincial Natural Science Foundation of China: 820MS053
- Major Science and Technology Program of Hainan Province: ZDKJ202003
- HMU MarshalI Initiative Funding: HMUMIF-21024
- Marshal Initiative Funding of Hainan Medical University: JBGS202103
- Hainan Province Clinical Medical Center: QWYH202175
- National Key Research and Development Program of China: 2018YFC2000100
- Natural Science Foundation for Distinguished Young Scholars of Heilongjiang Province: JQ2019C004