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首页> 外文期刊>Analytical Biochemistry: An International Journal of Analytical and Preparative Methods >A dual-probe hybridization method for reducing variability in single nucleotide polymorphism analysis with oligonucleotide microarrays
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A dual-probe hybridization method for reducing variability in single nucleotide polymorphism analysis with oligonucleotide microarrays

机译:利用寡核苷酸微阵列降低单核苷酸多态性分析变异性的双探针杂交方法

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摘要

DNA microarray technology has become powerful and popular in mutation/single nucleotide polymorphism (SNP) discovery and genotyping. However, this method is often associated with considerable signal noise of nonbiological origin that may compromise the data quality and interpretation. To achieve a high degree of reliability, accuracy, and sensitivity in data analysis, an effective normalization method to minimize the technical variability is highly desired. In the current study, a simple and robust normalization method is described. The method is based on introduction of a reference probe coimmobilized with SNP probes on the microarray for a dual-probe hybridization (DPH) reaction. The reference probe is used as an intraspot control for the customized microarrays. Using this method, the interassay coefficient of variation (CV) was reduced significantly by approximately 10%. After DPH normalization, the CVs and ranges of the ratios were reduced by two to five times. The relative magnitudes of variation of different sources were also analyzed by analysis of variance. Glass slides were shown to contribute the most to the variance, whereas sampling and residual errors had relatively modest contribution. The results showed that this DPH-based spot-dependent normalization method is an effective solution for reducing experimental variation associated with microarray genotyping data. (C) 2008 Elsevier Inc. All rights reserved.
机译:DNA芯片技术已在突变/单核苷酸多态性(SNP)发现和基因分型中变得强大而流行。但是,此方法通常与非生物来源的大量信号噪声相关联,这可能会损害数据质量和解释。为了在数据分析中实现高度的可靠性,准确性和灵敏性,迫切需要一种有效的标准化方法以最小化技术差异。在当前的研究中,描述了一种简单而强大的归一化方法。该方法基于在微阵列上引入与SNP探针共固定的参考探针,以进行双探针杂交(DPH)反应。参考探针用作定制微阵列的斑点内对照。使用这种方法,批间变异系数(CV)大大降低了约10%。 DPH归一化后,CV和比率范围减小了2到5倍。还通过方差分析来分析不同来源的相对变化幅度。载玻片对方差的贡献最大,而采样误差和残留误差的贡献相对较小。结果表明,这种基于DPH的斑点依赖性归一化方法是减少与微阵列基因分型数据相关的实验变异的有效解决方案。 (C)2008 Elsevier Inc.保留所有权利。

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