A proteome-scale map of the human interactome network.

Area of Science:

• Genomics
• Proteomics
• Systems Biology

Background:

• Reference genome sequences transformed human genetics.
• Understanding genotype-phenotype relationships requires comprehensive interactome network maps.
• Existing protein-protein interaction data is limited and biased.

Purpose of the Study:

• To create a systematic, high-quality map of human binary protein-protein interactions.
• To provide a more comprehensive and homogeneous view of the human interactome.
• To reveal the functional landscape of cancer by analyzing gene product interconnectivity.

Main Methods:

• Systematic mapping of human binary protein-protein interactions.
• Quality assessment of interaction data.
• Comparative analysis with existing literature data.

Main Results:

• A map of approximately 14,000 high-quality human binary protein-protein interactions was generated.
• This map is ~30% larger than previously available data at equivalent quality.
• The map reveals a more homogeneous and broader human interactome than previously appreciated.
• Significant interconnectivity was found between known and candidate cancer gene products.

Conclusions:

• High-quality interactome maps are essential for advancing genotype-phenotype relationship studies.
• The generated map offers an unbiased view of the human interactome, expanding our understanding of its scope.
• This resource provides critical insights into the functional landscape of cancer, highlighting expanded roles for gene products.