PDmethDB

PDmethDB aggregates and curates published DNA methylation data associated with Parkinson's disease to support epigenetic research on methylation changes and their relationship to disease mechanisms.

Key Features:

• Literature aggregation: Curated data compiled from approximately 1,600 published studies.
• Data scope and coverage: Contains over 97,077 entries covering 12,308 molecules, 37,944 CpG sites, 31 tissues, and three species.
• Annotation depth: Entries are annotated with gene/molecule names, CpG site information, types of methylation alterations, expression changes, tissue specificity, PubMed IDs (PMID), experimental methodologies, and concise descriptions.
• Gene interaction networks: Integrates protein–protein interaction and miRNA–target interaction networks and highlights Parkinson's disease–associated genes sourced from DisGeNET.
• Biological context: Includes literature and annotations related to α-synuclein, DNMT1 sequestration, and global DNA hypomethylation in human brain tissues.

Scientific Applications:

• Epigenetic association discovery: Enables identification and compilation of methylation changes linked to Parkinson's disease.
• Biomarker and target exploration: Supports exploration of potential methylation-based biomarkers and therapeutic targets for PD.
• Cross-tissue and cross-species analysis: Facilitates comparative analysis of methylation patterns across 31 tissues and three species.
• Network-level prioritization: Enables investigation of protein–protein and miRNA–target interaction contexts and prioritization of PD-associated genes using DisGeNET annotations.

Methodology:

Aggregated curated data from ~1,600 published studies and integrated gene interaction networks (protein–protein and miRNA–target interactions), with PD-associated genes highlighted using DisGeNET.