Related Experiment Video
Updated: Jan 2, 2026

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
Published on: June 22, 2017
An in silico approach to characterize nonsynonymous SNPs and regulatory SNPs in human TOX3 gene
Mehran Akhtar1, Tazkira Jamal, Jalal Ud Din
1Department of Biotechnology, Abdul Wali Khan University, Mardan 23200, Pakistan. fazaljalil@awkum.edu.pk.
Abstract:
Cancer is one of the deadliest complex diseases having multigene nature where the role of single-nucleotide polymorphism (SNP) has been well explored in multiple genes. TOX high mobility group box family member 3 (TOX3) is one such gene, in which SNPs have been found to be associated with breast cancer. In this study, we have examined the potentially damaging nonsynonymous SNPs(nsSNPs) in TOX3 gene using in silico tools, namely PolyPhen2, SNP&GO, PhD-SNP and PROVEAN, which were further confirmed by I-Mutant, MutPred1.2 and ConSurf for their stability, functional and structural effects. nsSNPs rs368713418 (A266D), rs751141352 (P273S, P273T), rs200878352 (A275T) have been found to be the most deleterious that may have a vital role in breast cancer. Premature stop codon producing SNPs (Q527STOP), rs1259790811 (G495STOP), rs1294465822 (S395STOP) and rs1335372738 (G8STOP) were also found having prime importance in truncated and malfunctional protein formation. We also characterized regulatory SNPs for its potential effect on TOX3 gene regulation and found nine SNPs that may affect the gene regulation. Further, we have also designed 3D models using I-TASSER for the wild type and four mutant TOX3 proteins. Our study concludes that these SNPs can be of prime importance while studying breast cancer and other associated diseases as well. They are required to be studied in model organisms and cell cultures, and may have potential importance in personalized medicines and gene therapy.
Insights
This study identifies damaging single-nucleotide polymorphisms (SNPs) in the TOX3 gene linked to breast cancer. These genetic variations may impact protein function and gene regulation, offering potential for personalized medicine.
Area of Science:
- Genetics
- Molecular Biology
- Bioinformatics
Background:
- Cancer is a complex, multigene disease where single-nucleotide polymorphisms (SNPs) play a significant role.
- The TOX3 gene is implicated in breast cancer, with previous research exploring SNP associations.
Purpose of the Study:
- To computationally identify and analyze potentially damaging nonsynonymous SNPs (nsSNPs) in the TOX3 gene.
- To investigate the functional and structural impact of these nsSNPs on TOX3 protein.
- To characterize regulatory SNPs affecting TOX3 gene expression.
Main Methods:
- Utilized in silico tools (PolyPhen2, SNP&GO, PhD-SNP, PROVEAN) to predict nsSNP deleteriousness.
- Employed I-Mutant, MutPred1.2, and ConSurf to assess stability, functional, and structural effects.
- Designed 3D protein models using I-TASSER for wild-type and mutant TOX3.
Main Results:
- Identified rs368713418 (A266D), rs751141352 (P273S/T), and rs200878352 (A275T) as highly deleterious nsSNPs.
- Found premature stop codon SNPs (e.g., Q527STOP) crucial for truncated protein formation.
- Characterized nine regulatory SNPs with potential to affect TOX3 gene regulation.
Conclusions:
- Identified specific nsSNPs and regulatory SNPs in TOX3 with significant implications for breast cancer.
- These findings highlight the importance of studying these SNPs in model organisms and cell cultures.
- The identified SNPs may hold potential for personalized medicine and gene therapy approaches in breast cancer treatment.
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Exon Recombination
Exon shuffling follows “splice frame rules.” Each exon...

