Ono Naoaki, Suzuki Shingo, Furusawa Chikara, Agata Tomoharu, Kashiwagi Akiko, Shimizu Hiroshi, Yomo Tetsuya
Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Bioinformatics. 2008 May 15;24(10):1278-85. doi: 10.1093/bioinformatics/btn109. Epub 2008 Mar 31.
High-density DNA microarrays provide useful tools to analyze gene expression comprehensively. However, it is still difficult to obtain accurate expression levels from the observed microarray data because the signal intensity is affected by complicated factors involving probe-target hybridization, such as non-linear behavior of hybridization, non-specific hybridization, and folding of probe and target oligonucleotides. Various methods for microarray data analysis have been proposed to address this problem. In our previous report, we presented a benchmark analysis of probe-target hybridization using artificially synthesized oligonucleotides as targets, in which the effect of non-specific hybridization was negligible. The results showed that the preceding models explained the behavior of probe-target hybridization only within a narrow range of target concentrations. More accurate models are required for quantitative expression analysis.
The experiments showed that finiteness of both probe and target molecules should be considered to explain the hybridization behavior. In this article, we present an extension of the Langmuir model that reproduces the experimental results consistently. In this model, we introduced the effects of secondary structure formation, and dissociation of the probe-target duplex during washing after hybridization. The results will provide useful methods for the understanding and analysis of microarray experiments.
The method was implemented for the R software and can be downloaded from our website (http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/FHarray/).
高密度DNA微阵列提供了全面分析基因表达的有用工具。然而,由于信号强度受涉及探针-靶标杂交的复杂因素影响,如杂交的非线性行为、非特异性杂交以及探针和靶标寡核苷酸的折叠,从观察到的微阵列数据中获得准确的表达水平仍然很困难。已经提出了各种微阵列数据分析方法来解决这个问题。在我们之前的报告中,我们使用人工合成的寡核苷酸作为靶标对探针-靶标杂交进行了基准分析,其中非特异性杂交的影响可以忽略不计。结果表明,先前的模型仅在较窄的靶标浓度范围内解释了探针-靶标杂交的行为。定量表达分析需要更准确的模型。
实验表明,为了解释杂交行为,应考虑探针和靶标分子的有限性。在本文中,我们提出了朗缪尔模型的扩展,该扩展能够一致地重现实验结果。在这个模型中,我们引入了二级结构形成以及杂交后洗涤过程中探针-靶标双链体解离的影响。这些结果将为理解和分析微阵列实验提供有用的方法。
该方法已在R软件中实现,可从我们的网站(http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/FHarray/)下载。