Genic insights from integrated human proteomics in GeneCards

Area of Science:

• Genomics
• Proteomics
• Bioinformatics

Background:

• GeneCards is a comprehensive resource for human gene annotations, integrating data from numerous sources.
• Advances in proteomics offer new opportunities to improve gene annotation and functional classification.

Purpose of the Study:

• To enhance GeneCards with proteomic data for improved gene annotation and classification.
• To develop novel metrics for assessing gene function and identifying disease-associated variants.

Main Methods:

• Constructed the Human Integrated Protein Expression Database (HIPED) from mass spectrometry-based proteomics sources.
• Defined protein expression vectors for genes across 69 human tissues.
• Developed pairwise proximity metrics and calculated proteome-based differential expression.
• Defined protein-RNA expression ratios and correlations.

Main Results:

• HIPED integrates data from multiple sources, covering approximately 90% of human protein-coding genes.
• Protein expression data visualized alongside transcriptome data for comparison.
• New metrics facilitate the identification of functional gene partners.
• Proteome-based classification aids in discovering causative disease variants.

Conclusions:

• The integration of proteomics data significantly enhances GeneCards' annotation capabilities.
• This provides a more organized and comprehensive view of human proteome knowledge.
• The enhanced resource aids in functional genomics and disease variant analysis.