Application of Structure Equation Modeling for Inferring a Serial Transcriptional Regulation in Yeast

被引：9

作者：

Aburatani, Sachiyo ^{[1
]}

机构：

[1] Natl Inst Adv Ind Sci & Technol, Computat Biol Res Ctr, Koto Ku, 2-4-7 Aomi, Tokyo 1350064, Japan

来源：

GENE REGULATION AND SYSTEMS BIOLOGY | 2011年 / 5卷

关键词：

Structural equation modeling; transcriptional regulation; gene regulatory network; expression profile;

D O I：

10.4137/GRSB.S7569

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学]; 090102 [作物遗传育种];

摘要：

Revealing the gene regulatory systems among DNA and proteins in living cells is one of the central aims of systems biology. In this study, I used Structural Equation Modeling (SEM) in combination with stepwise factor analysis to infer the protein-DNA interactions for gene expression control from only gene expression profiles, in the absence of protein information. I applied my approach to infer the causalities within the well-studied serial transcriptional regulation composed of GAL-related genes in yeast. This allowed me to reveal the hierarchy of serial transcriptional regulation, including previously unclear protein-DNA interactions. The validity of the constructed model was demonstrated by comparing the results with previous reports describing the regulation of the transcription factors. Furthermore, the model revealed combinatory regulation by Gal4p and Gal80p. In this study, the target genes were divided into three types: those regulated by one factor and those controlled by a combination of two factors.

引用

页码：75 / 88

页数：14

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