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Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL

机译:在人类前列腺癌易感基因RNASEL中破坏单个核苷酸多态性的功能和结构后果。

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摘要

A commonly diagnosed cancer, prostate cancer (PrCa), is being regulated by the gene RNASEL previously known as PRCA1 codes for ribonuclease L which is an integral part of interferon regulated system that mediates antiviral and antiproliferative role of the interferons. Both somatic and germline mutations have been implicated to cause prostate cancer. With an array of available Single Nucleotide Polymorphism data on dbSNP this study is designed to sort out functional SNPs in RNASEL by implementing different authentic computational tools such as SIFT, PolyPhen, SNPs&GO, Fathmm, ConSurf, UTRScan, PDBsum, Tm-Align, I-Mutant, and Project HOPE for functional and structural assessment, solvent accessibility, molecular dynamics, and energy minimization study. Among 794 RNASEL SNP entries 124 SNPs were found nonsynonymous from which SIFT predicted 13 nsSNPs as nontolerable whereas PolyPhen-2 predicted 28. SNPs found on the 3′ and 5′ UTR were also assessed. By analyzing six tools having different perspectives an aggregate result was produced where nine nsSNPs were found to be most likely to exert deleterious effect. 3D models of mutated proteins were generated to determine the functional and structural effect of the mutations on ribonuclease L. The initial findings were reinforced by the results from I-Mutant and Project HOPE as these tools predicted significant structural and functional instability of the mutated proteins. Expasy-ProSit tool defined the mutations to be situated in the functional domains of the protein. Considering previous analysis this study revealed a conclusive result deducing the available SNP data on the database by identifying the most damaging three nsSNP rs151296858 (G59S), rs145415894 (A276V), and rs35896902 (R592H). As such studies involving polymorphisms of RNASEL were none to be found, the results of the current study would certainly be helpful in future prospects concerning prostate cancer in males.
机译:常见诊断为前列腺癌(PrCa)的基因由RNASEL调控,该基因以前称为PRCA1核糖核酸酶L编码,它是干扰素调节系统的组成部分,该系统介导干扰素的抗病毒和抗增殖作用。体细胞和种系突变均涉及引起前列腺癌。利用dbSNP上的一系列可用单核苷酸多态性数据,本研究旨在通过实施不同的可信计算工具(例如SIFT,PolyPhen,SNPs&GO,Fathmm,ConSurf,UTRScan,PDBsum,Tm-Align,I-)来分类RNASEL中的功能性SNP。突变体和HOPE项目,用于功能和结构评估,溶剂可及性,分子动力学和能量最小化研究。在794个RNASEL SNP条目中,发现124个SNP是同义的,SIFT预测其中的13个nsSNP是不可忍受的,而PolyPhen-2预测为28个。还评估了在3'和5'UTR上发现的SNP。通过分析具有不同观点的六个工具,得出了一个汇总结果,发现九个nsSNP最有可能发挥有害作用。生成了突变蛋白的3D模型,以确定突变对核糖核酸酶L的功能和结构作用。I-Mutant和Project HOPE的结果加强了最初的发现,因为这些工具预测了突变蛋白的显着结构和功能不稳定性。 Expasy-ProSit工具将突变定义为位于蛋白质的功能域中。考虑到以前的分析,该研究揭示了一个结论性结果,该结果通过确定最具破坏性的三个nsSNP rs151296858(G59S),rs145415894(A276V)和rs35896902(R592H)来推导数据库中的可用SNP数据。由于尚未发现涉及RNASEL多态性的此类研究,因此本研究的结果无疑将对男性前列腺癌的未来前景有所帮助。

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