Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems

Area of Science:

• Virology
• Systems Biology
• Bioinformatics

Background:

• Human immunodeficiency virus type 1 (HIV-1) replication relies on a complex network of host-pathogen interactions.
• Existing databases like the HIV-1 Human Protein Interaction Database (HHPID) offer detailed interaction data but suffer from errors and inconsistencies.
• A need exists for a refined, interpretable map of HIV-1 host-cell perturbations.

Purpose of the Study:

• To develop a novel methodology for identifying core host-cellular functions perturbed by HIV-1.
• To disentangle complex HIV-1-host protein interactions from the HHPID.
• To reconcile interaction data with functional screens for a clearer understanding of HIV-1 infection.

Main Methods:

• Utilized biclustering to identify 279 significant sets of host proteins with similar interaction patterns.
• Validated functional cohesiveness of protein sets using human protein-protein interaction networks, gene ontology, and sequence similarity.
• Employed a distance measure to group protein sets into 37 higher-level subsystems and cross-referenced with siRNA screens.

Main Results:

• Identified 279 significant host protein sets and 37 distinct higher-level subsystems perturbed during HIV-1 infection.
• Demonstrated biological significance of these subsystems by correlating with siRNA screens for HIV-1 host factors.
• Characterized interaction patterns contributing to host-cell perturbations.

Conclusions:

• Developed a robust methodology to refine HIV-1-host interaction data, overcoming limitations of existing databases.
• Provided an accessible and interpretable map of HIV-1 infection by identifying key perturbed host-cell subsystems.
• Highlighted the importance of specific host-cell subsystems and their interaction patterns in HIV-1 pathogenesis.