与急性髓系白血病相关的人TERT基因功能单核苷酸改变的计算机翻译后分析

Anam Munir, A. Akram, Khansa Jamil, Asma I Tahir
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摘要

急性髓系白血病(AML)是一种由外周血和骨髓中未成熟髓系祖细胞克隆扩增而形成的多种血液系统恶性肿瘤。TERT基因确保端粒的维持,染色体的稳定和恶性肿瘤的预防。TERT基因有几个单核苷酸多态性(snp),与包括AML在内的许多疾病有关。目的:从结构、功能和翻译表达水平对TERT有害基因突变进行分类,并采用多种计算方法进行分析。方法:利用国家生物技术信息中心(NCBI)数据库检索AML中报道的TERT基因(Q53H、V170M、A184T、S255Y、A288V、H412Y、I540M、R631W)的非单核苷酸多态性,并采用多种生物信息学工具进行分析。结果:在这个计算机分析中,观察到8个snp中有7个具有破坏性作用;它们可以影响蛋白质的稳定性、蛋白质-蛋白质相互作用、疏水性、蛋白质折叠、三维结构、二级结构和保护剖面。通过各种工具生成和验证3D模型,观察到这些改变对蛋白质功能的结构影响,这些影响对RNA折叠,蛋白质-蛋白质相互作用和其他功能相关蛋白质不稳定。翻译后修饰分析显示这些突变没有显著影响。结论:这些snp可作为疾病诊断、生物标志物和蛋白质研究的潜在靶点。
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In Silico Post Translational Analysis of Functional Single Nucleotide Alterations in Human TERT Gene Associated with Acute Myeloid Leukemia
Acute myeloid leukemia (AML) refers to a diverse assemblage of hematological malignancies that constitute clonal expansion of immature myeloid progenitor cells in the peripheral blood and bone marrow. TERT gene ensures telomeres maintenance, chromosome stability and prevention of malignancy. The TERT gene has several single nucleotide polymorphisms (SNPs) that have been linked to a number of diseases, including AML. Objective: To classify the harmful TERT gene mutations, and to analyze them using various computational approaches at structural, functional and translational expression levels Methods: National Centre for Biotechnology Information (NCBI) database was used to retrieve nsSNPs of TERT gene (Q53H, V170M, A184T, S255Y, A288V, H412Y, I540M, R631W) reported in AML and they were analyzed using various bioinformatics tools. Results: In this in silico analysis, it was observed that seven out of eight SNPs had a damaging effect; they could affect the protein stability, protein-protein interactions, hydrophobicity, protein folding, three-dimensional structure, secondary structure and conservation profile. 3D models were generated and validated by various tools and the structural effect of these alterations was observed on protein function that was destabilizing to the RNA folding, protein-protein interactions and other functionally associated proteins. Analysis of post translational modifications showed no significant effect of these mutations. Conclusions: These SNPs could be used in future as potential targets in disease diagnosis, biological markers and protein studies.
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