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An In Silico Evaluation of Deleterious Nonsynonymous Single Nucleotide Polymorphisms in the ErbB3 Oncogene.

ABSTRACT: ErbB3 is a significant oncogenic target that is involved in the development of numerous malignancies. In the present in silico study, we evaluated the structural and functional impact of single nucleotide polymorphisms (SNPs) on the ErbB3 gene. The nonsynonymous SNPs (nsSNPs) are known to be deleterious or disease-causing variations because they alter protein sequence, structure, and function. Out of a total 531 SNPs in ErbB3, we investigated 77 coding nsSNPs and observed that 20 of them could be expected to alter the protein's function based on the predictions of both sequence homology-based (SIFT) and structural homology-based (Polyphen) algorithms. Thereafter, we computed the stability of mutants in units of free energy using I-Mutant 3.0, MuStab, and iPTree-STAB programs and identified seven crucial point mutations (V89M, V105G, C290Y, I418N, R669C, I744T, and A1131T) in epidermal growth factor receptor 3 that are manifested as nsSNPs. Furthermore, FASTSNP determined 14 synonymous SNPs that may have a profound impact on splicing regulation. The computational study identified seven novel hotspots predicted to maintain the native structural conformation and functional activity of ErbB3 and may account for cancer if mutated.

SUBMITTER: Raghav D

PROVIDER: S-EPMC3666215 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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An In Silico Evaluation of Deleterious Nonsynonymous Single Nucleotide Polymorphisms in the ErbB3 Oncogene.

Raghav Dhwani D Sharma Vinay V

BioResearch open access 20130601 3

ErbB3 is a significant oncogenic target that is involved in the development of numerous malignancies. In the present in silico study, we evaluated the structural and functional impact of single nucleotide polymorphisms (SNPs) on the ErbB3 gene. The nonsynonymous SNPs (nsSNPs) are known to be deleterious or disease-causing variations because they alter protein sequence, structure, and function. Out of a total 531 SNPs in ErbB3, we investigated 77 coding nsSNPs and observed that 20 of them could b ...[more]

PMID: 23741632

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Project description:Hennekam lymphangiectasia-lymphedema syndrome has been linked to single-nucleotide polymorphisms in the CCBE1 (collagen and calcium-binding EGF domains 1) gene. Several bioinformatics methods were used to find the most dangerous nsSNPs that could affect CCBE1 structure and function. Using state-of-the-art in silico tools, this study examined the most pathogenic nonsynonymous single-nucleotide polymorphisms (nsSNPs) that disrupt the CCBE1 protein and extracellular matrix remodeling and migration. Our results indicate that seven nsSNPs, rs115982879, rs149792489, rs374941368, rs121908254, rs149531418, rs121908251, and rs372499913, are deleterious in the CCBE1 gene, four (G330E, C102S, C174R, and G107D) of which are the highly deleterious, two of them (G330E and G107D) have never been seen reported in the context of Hennekam syndrome. Twelve missense SNPs, rs199902030, rs267605221, rs37517418, rs80008675, rs116596858, rs116675104, rs121908252, rs147974432, rs147681552, rs192224843, rs139059968, and rs148498685, are found to revert into stop codons. Structural homology-based methods and sequence homology-based tools revealed that 8.8% of the nsSNPs are pathogenic. SIFT, PolyPhen2, M-CAP, CADD, FATHMM-MKL, DANN, PANTHER, Mutation Taster, LRT, and SNAP2 had a significant score for identifying deleterious nsSNPs. The importance of rs374941368 and rs200149541 in the prediction of post-translation changes was highlighted because it impacts a possible phosphorylation site. Gene-gene interactions revealed CCBE1's association with other genes, showing its role in a number of pathways and coexpressions. The top 16 deleterious nsSNPs found in this research should be investigated further in the future while researching diseases caused CCBE1 gene specifically HS. The FT web server predicted amino acid residues involved in the ligand-binding site of the CCBE1 protein, and two of the substitutions (R167W and T153N) were found to be involved. These highly deleterious nsSNPs can be used as marker pathogenic variants in the mutational diagnosis of the HS syndrome, and this research also offers potential insights that will aid in the development of precision medicines. CCBE1 proteins from Hennekam syndrome patients should be tested in animal models for this purpose.

Project description:BackgroundSingle-nucleotide polymorphisms (SNPs) have a crucial function in affecting the susceptibility of individuals to diseases and also determine how an individual responds to different treatment options. The present study aimed to predict and characterize deleterious missense nonsynonymous SNPs (nsSNPs) of lysozyme C (LYZ C) gene using different computational methods. Lyz C is an important antimicrobial peptide capable of damaging the peptidoglycan layer of bacteria leading to osmotic shock and cell death. The nsSNPs were first analyzed by SIFT and PolyPhen v2 tools. The nsSNPs predicted as deleterious were then assessed by other in silico tools - SNAP, PROVEAN, PhD-SNP, and SNPs & GO. These SNPs were further examined by I-Mutant 3.0 and ConSurf. GeneMANIA and STRING tools were used to study the interaction network of the LYZ C gene. NetSurfP 2.0 was used to predict the secondary structure of Lyz C protein. The impact of variations on the structural characteristics of the protein was studied by HOPE analysis. The structures of wild type and variants were predicted by SWISS-MODEL web server, and energy minimization was carried out using XenoPlot software. TM-align tool was used to predict root-mean-square deviation (RMSD) and template modeling (TM) scores.ResultsEight missense nsSNPs (T88N, I74T, F75I, D67H, W82R, D85H, R80C, and R116S) were found to be potentially deleterious. I-Mutant 3.0 determined that the variants decreased the stability of the protein. ConSurf predicted rs121913547, rs121913549, and rs387906536 nsSNPs to be conserved. Interaction network tools showed that LYZ C protein interacted with lactoferrin (LTF). HOPE tool analyzed differences in physicochemical properties between wild type and variants. TM-align tool predicted the alignment score, and the protein folding was found to be identical. PyMOL was used to visualize the superimposition of variants over wild type.ConclusionThis study ascertained the deleterious missense nsSNPs of the LYZ C gene and could be used in further experimental analysis. These high-risk nsSNPs could be used as molecular targets for diagnostic and therapeutic interventions.

Dataset Information

An In Silico Evaluation of Deleterious Nonsynonymous Single Nucleotide Polymorphisms in the ErbB3 Oncogene.

Publications

An In Silico Evaluation of Deleterious Nonsynonymous Single Nucleotide Polymorphisms in the ErbB3 Oncogene.

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