Protein dynamics analysis reveals that missense mutations in cancer-related genes appear frequently on hinge-neighboring residues
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Published on: May 20, 2020
Jan Fehmi Sayılgan1, Türkan Haliloğlu2,3, Mehmet Gönen4,5,6
1Graduate School of Sciences and Engineering, Koç University, İstanbul, Turkey.
Abstract:
Missense mutations have various effects on protein structures, also leading to distorted protein dynamics that plausibly affects the function. We hypothesized that missense mutations in cancer-related genes selectively target hinge-neighboring residues that orchestrate collective structural dynamics. To test our hypothesis, we selected 69 cancer-related genes from the Cancer Gene Census database and their representative protein structures from the Protein Data Bank. We first identified the hinge residues in two global modes of motion by applying the Gaussian Network Model. We then showed that missense mutations are significantly enriched on hinge-neighboring residues in oncogenes and tumor suppressor genes. We observed that several oncogenes (eg, MAP2K1, PTPN11, and KRAS) and tumor suppressor genes (eg, EZH2, CDKN2C, and RHOA) strongly exhibit this phenomenon. This study highlights and rationalizes the functional importance of missense mutations on hinge-neighboring residues in cancer.
Insights
Missense mutations in cancer genes often affect hinge-neighboring residues critical for protein dynamics and function. This study reveals a significant enrichment of these mutations in key cancer-related genes.
Area of Science:
- Structural biology
- Cancer genomics
- Protein dynamics
Background:
- Missense mutations can alter protein structure and dynamics, potentially impacting cellular function.
- Understanding mutation patterns in cancer-related genes is crucial for identifying disease mechanisms.
Purpose of the Study:
- To investigate whether missense mutations in cancer-related genes preferentially occur at hinge-neighboring residues.
- To explore the role of these residues in orchestrating collective protein structural dynamics.
Main Methods:
- Selected 69 cancer-related genes and their protein structures from the Cancer Gene Census and Protein Data Bank.
- Utilized the Gaussian Network Model to identify hinge residues in global protein motion modes.
- Analyzed the distribution of missense mutations relative to identified hinge residues.
Main Results:
- Demonstrated a significant enrichment of missense mutations on hinge-neighboring residues in both oncogenes and tumor suppressor genes.
- Observed this phenomenon in specific genes, including MAP2K1, PTPN11, KRAS, EZH2, CDKN2C, and RHOA.
Conclusions:
- Missense mutations in cancer genes frequently target hinge-neighboring residues.
- These findings highlight the functional significance of mutations affecting protein dynamics in cancer development.
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