Yang Longlong, Allen Bruce C, Thomas Russell S
The Hamner Institutes for Health Sciences, 6 Davis Drive, Research Triangle Park, NC 27709-2137, USA.
BMC Genomics. 2007 Oct 25;8:387. doi: 10.1186/1471-2164-8-387.
Dose-dependent processes are common within biological systems and include phenotypic changes following exposures to both endogenous and xenobiotic molecules. The use of microarray technology to explore the molecular signals that underlie these dose-dependent processes has become increasingly common; however, the number of software tools for quantitatively analyzing and interpreting dose-response microarray data has been limited.
We have developed BMDExpress, a Java application that combines traditional benchmark dose methods with gene ontology classification in the analysis of dose-response data from microarray experiments. The software application is designed to perform a stepwise analysis beginning with a one-way analysis of variance to identify the subset of genes that demonstrate significant dose-response behavior. The second step of the analysis involves fitting the gene expression data to a selection of standard statistical models (linear, 2 degrees polynomial, 3 degrees polynomial, and power models) and selecting the model that best describes the data with the least amount of complexity. The model is then used to estimate the benchmark dose at which the expression of the gene significantly deviates from that observed in control animals. Finally, the software application summarizes the statistical modeling results by matching each gene to its corresponding gene ontology categories and calculating summary values that characterize the dose-dependent behavior for each biological process and molecular function. As a result, the summary values represent the dose levels at which genes in the corresponding cellular process show transcriptional changes.
The application of microarray technology together with the BMDExpress software tool represents a useful combination in characterizing dose-dependent transcriptional changes in biological systems. The software allows users to efficiently analyze large dose-response microarray studies and identify reference doses at which particular cellular processes are altered. The software is freely available at http://sourceforge.net/projects/bmdexpress/ and is distributed under the MIT Public License.
剂量依赖性过程在生物系统中很常见,包括内源性和外源性分子暴露后的表型变化。利用微阵列技术探索这些剂量依赖性过程背后的分子信号变得越来越普遍;然而,用于定量分析和解释剂量反应微阵列数据的软件工具数量有限。
我们开发了BMDExpress,这是一个Java应用程序,在分析微阵列实验的剂量反应数据时,它将传统的基准剂量方法与基因本体分类相结合。该软件应用程序旨在进行逐步分析,首先进行单因素方差分析,以识别显示出显著剂量反应行为的基因子集。分析的第二步涉及将基因表达数据拟合到一系列标准统计模型(线性、二次多项式、三次多项式和幂模型),并选择以最少复杂性最佳描述数据的模型。然后使用该模型估计基因表达与对照动物中观察到的表达显著偏离时的基准剂量。最后,该软件应用程序通过将每个基因与其相应的基因本体类别进行匹配,并计算表征每个生物学过程和分子功能的剂量依赖性行为的汇总值,来总结统计建模结果。因此,汇总值代表了相应细胞过程中的基因显示转录变化的剂量水平。
微阵列技术与BMDExpress软件工具的应用是表征生物系统中剂量依赖性转录变化的有用组合。该软件允许用户有效地分析大型剂量反应微阵列研究,并识别特定细胞过程发生改变时的参考剂量。该软件可从http://sourceforge.net/projects/bmdexpress/免费获得,并根据麻省理工学院公共许可证分发。