A model of technical variation of microarray signals
A model of technical variation of microarray signals
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DOI：
10.1089/cmb.2006.13.996
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发表时间：
2006-05-01
影响因子：
1.7
通讯作者：
McDaniel, T. K.
中科院分区：
文献类型：
--
作者：
Chudin, E.;Kruglyak, S.;McDaniel, T. K.
我们描述了单通道直接杂交微阵列平台信号的数学模型。该模型从最小假设集建立了微阵列信号与其标准差之间的线性关系。我们使用该模型精确定义重要的微阵列质量特征：可分辨折叠变化和动态范围。当靶与探针的特异性和非特异性结合均受Langmuir杂交等温线控制时，这些定义导致这些特征与微阵列实验的物理参数相关的封闭形式表达式。该模型的预测与从峰值实验中获得的数据非常吻合。鉴于模型的通用性，引入的动态范围和可分辨浓度折叠变化的定义可用于跨平台比较，并指导微阵列平台的改进。
We describe a mathematical model of signal from single-channel direct hybridization microarray platforms. The model establishes a linear relationship between microarray signals and their standard deviations from a minimum set of assumptions. We use the model to precisely define important microarray quality characteristics: resolved fold change and dynamic range. The definitions lead to closed form expressions relating these characteristics to physical parameters of the microarray experiment in the case when both specific and nonspecific binding of target to probe are governed by the Langmuir hybridization isotherm. The predictions of the model are in close agreement to data obtained from spike-in experiments. Given the generality of the model, the introduced definitions of dynamic range and resolved concentration fold-change can be used to conduct cross-platform comparisons and to guide improvement of the microarray platform.