MitoMiner

MitoMiner integrates mitochondrial proteomics data from mass spectrometry and green fluorescent protein tagging to aggregate and contextualize mitochondrial protein annotations across species.

Key Features:

• Data Integration: MitoMiner amalgamates mitochondrial proteomics data with UniProt, Gene Ontology, Online Mendelian Inheritance in Man (OMIM), HomoloGene, Kyoto Encyclopedia of Genes and Genomes (KEGG), and PubMed.
• Dataset Coverage: The resource encompasses proteomics data from 46 studies across 11 species spanning eumetazoa, viridiplantae, fungi, and protista.
• Experimental Input Types: The database includes proteomic datasets derived from mass spectrometry and green fluorescent protein tagging studies.
• Query Flexibility: The system supports flexible querying of its data model to enable tailored searches across integrated annotations and experimental evidence.
• Mitochondrial Proteome Reference Sets: MitoMiner provides reference sets that list proteins with substantial experimental evidence supporting mitochondrial localization.

Scientific Applications:

• Mitochondrial Dysfunction: Characterize proteomic variability to investigate mechanisms underlying mitochondrial dysfunction.
• Disease Associations: Investigate mitochondrial roles in diseases including cancer, neurodegenerative disorders, obesity, diabetes, heart failure, and aging.
• Comparative Proteomics: Perform cross-species and evolutionary analyses of mitochondrial protein conservation and diversity.

Methodology:

Implemented using the open-source InterMine data warehouse system and integrating proteomics datasets with UniProt, Gene Ontology, OMIM, HomoloGene, KEGG, and PubMed.