Analytical screening of polymorphic variants of 20S proteasome genes when planning a study of pathogenetic effects of modification of NFKB1 post-translational processing

A. V. Meyer, M. V. Ulyanova, D. O. Imekina, A. D. Padyukova, T. A. Tolochko, E. A. Astafieva, M. Lavryashina
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Abstract

Aim. Formation of polymorphic variants panel of the proteasome genes 20S, potentially significant for the study as balance modifier factors of p105/p50 NFKB1.Materials and methods. Determination of genes that encode proteins of the multisubunit proteasome complex prospective for research purposes, was carried out on the basis of information retrieved from eLIBRARY and PubMed. The source of information for the formation of polymorphic variants panel of genes (SNP, single nucleotide polymorphism) was the Ensembl genomic browser, http://www.ensembl.org. The structure of genes is described by the NCBI (databases Gene, http:// www.ncbi.nlm.nih.gov/gene). The panel was filled with the minor allelic frequency in the population (MAF), the localization of SNP in the gene structure and the availability of data on the relationship with multifactorial diseases and other effects in mind. To calculate the genetic distances between populations, we used the methord of comparing the populations by frequencies of polymorphic marker alleles proposed by Ney, the obtained matrices are illustrated by the method of multidimensional scaling in space using Statistica v.8.0.Results. Discussion of the algorithm and results of analytical screening of polymorphic variants of 14 genes (PSMA1-PSMA7, PSMB1–PSMB7) encoding proteasome subunits 20S. The characteristics of the SNP panel are given, compiled with the selection criteria taken into account. According to the data on the frequencies of polymorphic gene variants, the features of global and European population gene pools (283 SNP), as well as samples from Russian populations (20 SNP) are analyzed. Based on the results of the analysis of information on the associations of selected SNPs with various diseases, a panel (42 SNPs) of 20S proteasome genes was formed, potentially significant for the study as factors modifying the p105/p50 NFKB1 balance.Conclusion. Annotation of the formed panel of SNP genes of the 20S proteasome with MAF>0.1 indicates the potential role of polymorphism in the pathogenesis of diseases of various profiles. This may be of research interest to the formed panel in context of implementation of traditional approaches – the search for candidate genes based on the analysis of associations with diseases, as well as the analysis of the influence of SNP on the level of genetic expression, synthesis of gene products, NFKB1 processing and p105/p50 balance in silico and on model objects.
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在计划研究NFKB1翻译后加工修饰的致病作用时,分析筛选20S蛋白酶体基因的多态性变异
的目标。蛋白酶体基因20S的多态性变异组的形成,作为p105/p50 NFKB1的平衡调节因子,对研究具有潜在的重要意义。材料和方法。基于从图书馆和PubMed检索的信息,对多亚基蛋白酶体复合体的蛋白质编码基因进行了研究。形成基因多态性变异面板(SNP,单核苷酸多态性)的信息来源是Ensembl基因组浏览器,http://www.ensembl.org。基因结构由NCBI(数据库Gene, http:// www.ncbi.nlm.nih.gov/gene)描述。该小组讨论了群体中的次要等位基因频率(MAF),基因结构中SNP的定位以及与多因素疾病和其他影响的关系数据的可用性。为了计算群体间的遗传距离,我们使用了Ney提出的多态标记等位基因频率比较群体的方法,得到的矩阵用Statistica v.8.0.Results在空间上的多维标度方法表示。编码蛋白酶体亚基20S的14个基因(PSMA1-PSMA7, PSMB1-PSMB7)多态性变异分析筛选算法及结果探讨给出了SNP面板的特征,并考虑了选择标准。根据多态性基因变异频率数据,分析了全球和欧洲人群基因库(283个SNP)以及俄罗斯人群样本(20个SNP)的特征。根据所选snp与各种疾病的关联信息分析结果,形成了一个由42个20S蛋白酶体基因组成的小组,作为调节p105/p50 NFKB1平衡的因素,对本研究具有潜在的重要意义。对MAF>0.1的20S蛋白酶体形成的SNP基因面板的注释表明多态性在各种疾病发病机制中的潜在作用。在实施传统方法的背景下,这可能对成立的小组有研究兴趣——根据与疾病的关联分析寻找候选基因,以及分析SNP对遗传表达水平、基因产物合成、NFKB1加工和p105/p50平衡的影响,以及对模型对象的影响。
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