Structural analysis of tumor-related single amino acid mutations in human MxA protein

Jia-Li Hu1, Yi-Jun Hua2, Yang Chen3

  • 1Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, P.R. China. hujl@sysucc.org.cn.

Chinese Journal of Cancer
|September 29, 2015
PubMed
Abstract

Insights

Human myxovirus resistant protein A (MxA) mutations impact cancer. This study analyzed 22 mutations, identifying seven that significantly alter MxA structure and function, suggesting potential clinical applications for cancer therapy.

Area of Science:

  • Structural biology
  • Cancer research
  • Immunology

Background:

  • Human myxovirus resistant protein A (MxA) is an interferon-induced GTPase crucial for innate immunity.
  • MxA is implicated in various cancers, potentially acting as a tumor suppressor and biomarker for interferon therapy.
  • Mx1 gene mutations altering MxA are found in numerous cancers, suggesting functional relevance.

Purpose of the Study:

  • To systematically analyze cancer-associated Mx1 mutations.
  • To elucidate how specific mutations affect MxA protein structure and function.
  • To assess the clinical significance of mutations impacting MxA.

Main Methods:

  • Collected and screened cancer-associated Mx1 mutations from the COSMIC database.
  • Selected 22 unique single amino acid alteration mutations for analysis.
  • Performed sequence alignment, structural analysis using Coot, and model generation with SWISS-MODEL.

Main Results:

  • Analyzed mutation site conservation and mapped them onto MxA domains.
  • Identified mutations that disrupt MxA stability and function by altering interactions or configurations.
  • Found other mutations with minimal impact due to their location or polarity.

Conclusions:

  • Seven tumor-associated single-point mutations significantly affect MxA structure and function.
  • These seven mutations warrant further investigation for potential clinical applications.
  • The study provides a framework for analyzing cancer-related protein mutations.

Related Concept Videos