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Updated: Oct 4, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Influence of PRKCE non-synonymous variants on protein dynamics and functionality
Khushbukhat Khan1, Hania Shah1, Areeba Rehman1
1Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Sector H-12, Islamabad 44000, Pakistan.
Genetic variations in protein kinase C epsilon (PKCε) are linked to cancer. This study identifies hotspots for mutations and their effects on PKCε function, aiding disease diagnosis and therapy design.
Area of Science:
- Biochemistry
- Molecular Biology
- Genetics
Background:
- Protein kinase C epsilon (PKCε), a member of the novel protein kinase C (nPKC) family and AGC kinase superfamily, is implicated in neurological disorders, metabolic diseases, and cancers.
- No prior research has investigated genetic variations affecting PKCε folding and function.
Purpose of the Study:
- To identify mutational hotspots and disease-causing non-synonymous single nucleotide polymorphisms (nsSNPs) in PKCε.
- To investigate the impact of nsSNPs on PKCε protein dynamics and function.
- To predict post-translational modification (PTM) sites in PKCε.
Main Methods:
- Utilized twenty-nine in silico tools to analyze nsSNP deleteriousness, disease association, and impact on protein dynamics.
- Predicted PTM sites within the PKCε protein.
Main Results:
- Identified nsSNP clustering in the PKCε hinge region and C-terminal tail, with most pathogenic variants located in the kinase domain.
- Observed that regulatory domain variants affect molecular interactions, while kinase domain variants impact phosphorylation and protein-protein interactions.
- Localized most PTM sites to the hinge region.
Conclusions:
- PKCε nsSNPs are associated with oncogenicity, and their dysregulation contributes to poor survival rates.
- Understanding the structural impact of nsSNPs is crucial for linking genetic variations to protein phenotypes.
- This research provides foundational knowledge for developing diagnostic and therapeutic strategies for PKCε-related diseases.
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