Gene interaction network suggests dioxin induces a significant linkage between aryl hydrocarbon receptor and retinoic acid receptor beta

被引:32
作者
Toyoshiba, H [1 ]
Yamanaka, T [1 ]
Sone, H [1 ]
Parham, FM [1 ]
Walker, NJ [1 ]
Martinez, J [1 ]
Portier, CJ [1 ]
机构
[1] NIEHS, Lab Computat Biol & Risk Anal, Res Triangle Pk, NC 27709 USA
关键词
D O I
10.1289/txg.7020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Gene expression arrays (gene chips) have enabled researchers to roughly quantify the level of mRNA expression for a large number of genes in a single sample. Several methods have been developed for the analysis of gene array data including clustering, outlier detection, and correlation studies. Most of these analyses are aimed at a qualitative identification of what is different between two samples and/or the relationship between two genes. We propose a quantitative, statistically sound methodology for the analysis of gene regulatory networks using gene expression data sets. The method is based on Bayesian networks for direct quantification of gene expression networks. Using the gene expression changes in HPL1A lung airway epithelial cells after exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin at levels of 0.1, 1.0, and 10.0 nM for 24 hr, a gene expression network was hypothesized and analyzed. The method clearly demonstrates support for the assumed network and the hypothesis linking the usual dioxin expression changes to the retinoic acid receptor system. Simulation studies demonstrated the method works well, even for small samples.
引用
收藏
页码:1217 / 1224
页数:8
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