Cancer missense mutations alter binding properties of proteins and their interaction networks

Area of Science:

• Genomics and Bioinformatics
• Molecular Biology
• Cancer Research

Background:

• Missense mutations are implicated in cancer development.
• The impact of cancer mutations on biomolecular interactions is not fully understood.
• Glioblastoma serves as a model for studying mutation effects on protein interactions.

Purpose of the Study:

• To map glioblastoma missense mutations onto the human protein interactome.
• To investigate the structural and energetic consequences of these mutations on binding interfaces.
• To identify novel cancer biomarkers and understand mutation effects on cellular networks.

Main Methods:

• Mapping missense mutations from glioblastoma onto the human protein interactome.
• Computational modeling of affected protein complex structures.
• Analysis of mutation effects on protein-protein, protein-nucleic acid, and protein-ion binding interfaces.
• Assessment of changes in amino acid physicochemical properties and network properties.

Main Results:

• Missense mutations primarily destabilize protein complexes, affecting electrostatic binding energy.
• Mutations at binding interfaces cause more significant physicochemical changes than off-interface mutations.
• Analysis identified potential driver genes and proposed new cancer biomarkers, including nervous system-specific ones.
• Interactions with interface mutations exhibit higher network bottleneck properties, suggesting critical roles in signaling.

Conclusions:

• Missense mutations in glioblastoma significantly alter protein interaction interfaces, predominantly through destabilization.
• Interface mutations provide insights into molecular mechanisms of cancer and identify potential biomarkers.
• Genes with mutations affecting protein binding are often central in cellular networks, influencing signal transduction.