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An Experimental Verification of the Predicted Effects of Promoter TATA-Box Polymorphisms Associated with Human Diseases on Interactions between the TATA Boxes and TATA-Binding Protein

机译:与人类疾病相关的启动子TATA-Box多态性对TATA盒与TATA结合蛋白相互作用的预测作用的实验验证

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摘要

Human genome sequencing has resulted in a great body of data, including a stunningly large number of single nucleotide polymorphisms (SNPs) with unknown phenotypic manifestations. Identification and comprehensive analysis of regulatory SNPs in human gene promoters will help quantify the effects of these SNPs on human health. Based on our experimental and computer-aided study of SNPs in TATA boxes and the use of literature data, we have derived an equation for TBP/TATA equilibrium binding in three successive steps: TATA-binding protein (TBP) sliding along DNA due to their nonspecific affinity for each other ↔ recognition of the TATA box ↔ stabilization of the TBP/TATA complex. Using this equation, we have analyzed TATA boxes containing SNPs associated with human diseases and made in silico predictions of changes in TBP/TATA affinity. An electrophoretic mobility shift assay (EMSA)-based experimental study performed under the most standardized conditions demonstrates that the experimentally measured values are highly correlated with the predicted values: the coefficient of linear correlation, r, was 0.822 at a significance level of α<10−7 for equilibrium K D values, (-ln K D), and 0.785 at a significance level of α<10−3 for changes in equilibrium K D (δ) due to SNPs in the TATA boxes (). It has been demonstrated that the SNPs associated with increased risk of human diseases such as α-, β- and δ-thalassemia, myocardial infarction and thrombophlebitis, changes in immune response, amyotrophic lateral sclerosis, lung cancer and hemophilia B Leyden cause 2–4-fold changes in TBP/TATA affinity in most cases. The results obtained strongly suggest that the TBP/TATA equilibrium binding equation derived can be used for analysis of TATA-box sequences and identification of SNPs with a potential of being functionally important.
机译:人类基因组测序已产生大量数据,包括数量惊人的单核苷酸多态性(SNP),具有未知的表型表现。鉴定和全面分析人类基因启动子中调节性SNP有助于量化这些SNP对人类健康的影响。基于我们对TATA盒中SNP的实验和计算机辅助研究,并利用文献数据,我们在三个连续的步骤中得出了TBP / TATA平衡结合的方程式:TATA结合蛋白(TBP)由于其沿着DNA滑动彼此之间具有非特异性亲和力↔识别TATA盒↔稳定TBP / TATA复合物。使用该方程式,我们分析了包含与人类疾病相关的SNP的TATA盒,并对TBP / TATA亲和力的变化进行了计算机预测。在最标准的条件下进行的基于电泳迁移率变动分析(EMSA)的实验研究表明,实验测量值与预测值高度相关:在显着性水平α<10时,线性相关系数r为0.822。 −7 表示平衡KD值(-ln KD)和0.785,在显着性水平α<10 -3 表示因SNP引起的平衡KD(δ)的变化在TATA框中()。已经证明,与人类疾病(如α-,β-和δ-地中海贫血,心肌梗塞和血栓性静脉炎)的风险增加相关的SNP,免疫应答的改变,肌萎缩性侧索硬化,肺癌和血友病B Leyden引起2-4在大多数情况下,TBP / TATA亲和力变化两倍。获得的结果强烈表明,导出的TBP / TATA平衡结合方程可用于TATA-box序列分析和SNP鉴定,具有潜在的功能重要性。

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