Hekstra Doeke, Taussig Alexander R, Magnasco Marcelo, Naef Felix
Center for Studies in Physics and Biology, Laboratory of Mathematical Physics, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA.
Nucleic Acids Res. 2003 Apr 1;31(7):1962-8. doi: 10.1093/nar/gkg283.
Oligonucleotide microarrays are based on the hybridization of labeled mRNA molecules to short length oligonucleotide probes on a glass surface. Two effects have been shown to affect the raw data: the sequence dependence of the probe hybridization properties and the chemical saturation resulting from surface adsorption processes. We address both issues simultaneously using a physically motivated hybridization model. Based on publicly available calibration data sets, we show that Langmuir adsorption accurately describes GeneChip hybridization, with model parameters that we predict from the sequence composition of the probes. Because these parameters have physical units, we are able to estimate absolute mRNA concentrations in picomolar. Additionally, by accounting for chemical saturation, we substantially reduce the compressive bias of differential expression estimates that normally occurs toward high concentrations.
寡核苷酸微阵列基于标记的mRNA分子与玻璃表面上短长度寡核苷酸探针的杂交。已表明有两种效应会影响原始数据:探针杂交特性的序列依赖性以及表面吸附过程导致的化学饱和。我们使用一个基于物理原理的杂交模型同时解决这两个问题。基于公开可用的校准数据集,我们表明朗缪尔吸附能准确描述基因芯片杂交,其模型参数可从探针的序列组成预测得出。由于这些参数具有物理单位,我们能够以皮摩尔为单位估计绝对mRNA浓度。此外,通过考虑化学饱和,我们大幅降低了通常在高浓度时出现的差异表达估计的压缩偏差。