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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Bioinformatics-driven identification of pathogenic missense nsSNPs in the human proto-oncogene SRC and cancer
Md Shakil Ahamed1, Roksana Khanam1, K M Tanjida Islam1
1Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.
Abstract:
SRC is a proto-oncogene that regulates cell proliferation and survival, and its dysregulation is commonly observed in diverse cancers. While SRC kinase dysregulation is well-established as a cancer driver, the functional consequences of its genetic variants, particularly non-synonymous single-nucleotide polymorphisms (nsSNPs) are not fully understood. Therefore, we employed an integrative computational approach to identify nsSNPs in SRC and analyze their impact on protein function and structure. Out of the 512 missense nsSNPs analyzed, 42 were predicted to be deleterious, with 12 likely to destabilize protein structure. Among these, three mutations, namely W151C (rs746439256), Y419N (rs2147125119), and P465S (rs1251532695), were particularly significant, causing substantial physicochemical changes. Molecular dynamics simulations revealed that these variations reduce protein stability and flexibility, resulting in conformational alterations. Docking study demonstrated that these mutations disrupt the binding interface residues of the SRC-FAK complex and affect dasatinib binding affinity. Additionally, gene expression analysis linked mutated SRC to dysregulation of cancer-related genes, especially in multiple myeloma and uterine cancer, and suggested reciprocal regulation by other mutated genes across malignancies. These findings highlight the oncogenic potential of SRC mutations and pave the way for future population-based studies exploring their role as diagnostic biomarkers, therapeutic targets, and modulators of drug response in personalized cancer treatment.
Insights
Genetic variations in the SRC proto-oncogene can drive cancer. This study identifies specific SRC mutations, like W151C, Y419N, and P465S, that impact protein function and may serve as cancer biomarkers.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- SRC is a proto-oncogene critical for cell growth and survival.
- SRC dysregulation is a known driver in various cancers.
- The functional impact of SRC genetic variants, especially nsSNPs, remains unclear.
Purpose of the Study:
- To computationally identify and analyze the functional and structural consequences of nsSNPs in the SRC gene.
- To investigate the effect of identified SRC mutations on protein stability, protein-protein interactions, and drug binding.
- To explore the association of mutated SRC with cancer-related gene expression patterns.
Main Methods:
- Integrative computational analysis of 512 missense nsSNPs in SRC.
- Prediction of deleterious nsSNPs and their impact on protein structure stability.
- Molecular dynamics simulations to assess protein stability and conformational changes.
- Protein-protein docking studies to evaluate SRC-FAK complex disruption and dasatinib binding.
- Gene expression analysis to link mutated SRC to cancer-related genes.
Main Results:
- 42 out of 512 nsSNPs were predicted as deleterious, with 12 destabilizing protein structure.
- Three key mutations (W151C, Y419N, P465S) caused significant physicochemical changes and reduced protein stability.
- Mutations disrupted SRC-FAK binding and reduced dasatinib affinity.
- Mutated SRC correlated with dysregulated cancer genes, particularly in multiple myeloma and uterine cancer.
Conclusions:
- Identified SRC nsSNPs possess oncogenic potential, altering protein function and interactions.
- These mutations may serve as diagnostic biomarkers and therapeutic targets for personalized cancer treatment.
- Further population studies are warranted to validate the role of SRC mutations in cancer progression and drug response.
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