Mutation-Structure-Function Relationship Based Integrated Strategy Reveals the Potential Impact of Deleterious...

Area of Science:

• Molecular Biology
• Genetics
• Oncology

Background:

• Autophagy is a crucial cellular process involved in liver pathologies, including hepatocellular carcinoma (HCC).
• Post-translational modifications (PTMs) and genetic variations in autophagy-related proteins significantly influence their function.
• Understanding these variations is key to deciphering autophagy-based regulation in disease.

Purpose of the Study:

• To identify high-risk missense mutations in autophagy-related proteins (LC3A, LC3B, BECN1, SCD1) that are damaging to structure and function.
• To pinpoint residues involved in PTMs within these critical autophagy components.
• To investigate the impact of these genetic variations on hepatocellular carcinoma development.

Main Methods:

• In silico mutational analysis of LC3A, LC3B, BECN1, and SCD1 proteins.
• Prioritization of high-risk single nucleotide polymorphisms (SNPs) based on predicted damaging effects.
• Integration of mutation data with known post-translational modification sites.

Main Results:

• Identified numerous high-risk SNPs across LC3A, LC3B, BECN1, and SCD1.
• Several prioritized mutations were found to coincide with potential PTM sites.
• LC3B Y113C, BECN1 I403T, SCD1 R126S, and SCD1 Y218C were identified as highly deleterious HCC-associated mutations.

Conclusions:

• This study provides the first extensive in silico mutational analysis of key autophagy proteins in the context of HCC.
• The findings highlight specific deleterious mutations and their overlap with PTM sites, offering valuable insights.
• The results serve as a resource for future mechanistic investigations into pathological missense SNPs.