Integrating mutation data and structural analysis of the TP53 tumor-suppressor protein

Area of Science:

• Molecular Biology
• Genetics
• Biochemistry

Background:

• The TP53 gene encodes the p53 protein, a crucial nuclear phosphoprotein with tumor-suppressing functions.
• p53 activation by DNA damage triggers antiproliferative responses like cell-cycle arrest and apoptosis.
• TP53 gene mutations are found in over 50% of human cancers, often impairing p53's DNA binding and transactivation capabilities.

Purpose of the Study:

• To systematically analyze the structural impact of TP53 core domain mutations using an automated method.
• To determine the proportion of mutations explainable by predicted effects on protein folding and DNA interactions.
• To assess the added value of considering evolutionary conservation of amino acids.

Main Methods:

• A systematic automated analysis was performed on reported mutations in the TP53 core domain.
• Predicted effects of mutations on protein folding and p53-DNA contacts were evaluated.
• The analysis incorporated substitutions of evolutionarily conserved amino acids.

Main Results:

• Out of 882 distinct mutations in the TP53 core domain, 304 (34.4%) were structurally explained by their effects on folding or DNA binding.
• This proportion increased to 55.6% when mutations involving conserved amino acids were included.
• The developed automated method provides structural insights into mutation consequences.

Conclusions:

• Automated structural analysis effectively explains a significant portion of TP53 mutations.
• Considering protein structure and evolutionary conservation enhances the understanding of mutation impact.
• This methodology can be applied to analyze mutations in other frequently mutated genes like dystrophin, BRCA1, and G6PD.