M6ADD

M6ADD catalogs associations between N6-methyladenosine (m^6A) modifications and diseases by integrating manually curated experimental evidence with computational analyses of high-throughput sequencing datasets.

Key Features:

• Manually Curated Data: 222 experimentally confirmed m^6A-disease associations extracted from a review of over 2000 published studies covering 59 distinct diseases.
• High-Throughput Sequencing Integration: 409,229 potential m^6A-disease associations obtained via computational and statistical analyses of 30 high-throughput sequencing datasets.
• Regulatory Protein Data: 5,239 potential m^6A regulatory proteins associated with 24 types of cancers identified using network analysis prediction methods.
• Protein-Protein Interaction Networks: Protein-protein interaction (PPI) networks provided to investigate functional implications of m^6A-modified genes.

Scientific Applications:

• Disease association mapping: Investigating the role of m^6A modifications in disease pathogenesis across 59 diseases.
• Cancer epigenetics: Analyzing potential m^6A regulatory proteins and their associations in 24 cancer types.
• Biomarker and therapeutic target discovery: Prioritizing experimentally validated and computationally predicted m^6A-associated biomarkers and therapeutic targets.

Methodology:

Manual literature curation from published studies; computational and statistical analyses of 30 high-throughput sequencing datasets yielding 409,229 potential associations; network analysis prediction methods to identify 5,239 potential regulatory proteins; analysis of protein-protein interaction networks.