Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes

Area of Science:

• Genomics
• Proteomics
• Molecular Biology

Background:

• Genomic data is rapidly expanding, identifying disease-associated mutations.
• Understanding the molecular mechanisms of these mutations is challenging.

Purpose of the Study:

• To develop a multilayered proteomic workflow to investigate how genetic lesions impact the proteome and cellular phenotypes.
• To explore the effects of disease-associated Dyrk2 protein kinase mutations on its complex, activity, and cellular phosphorylation.

Main Methods:

• Development of a multilayered proteomic workflow.
• Expression analysis of disease-associated Dyrk2 mutations.
• Assessment of protein complex composition, topology, and kinase activity.
• Phosphoproteomic profiling of cells.

Main Results:

• Dyrk2 mutations altered protein-protein interactions, complex topology, and kinase activity.
• Mutations affected the phosphorylation of known cancer driver proteins.
• These changes link Dyrk2 mutations to cancer-related biochemical pathways.

Conclusions:

• The developed proteomic workflow effectively reveals mutation-specific molecular changes.
• Genetic lesions exhibit extensive plasticity in their molecular responses.
• Dyrk2 mutations have significant functional consequences relevant to cancer development.