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Identification of the Cooperation Patterns among Transcription Factors in Gene Expression Regulation by the Multiple Stepwise Regression Analysis
Dan Sha, Hai-Yan Xu, Gang Niu2, He-Liang Fei, Rong-Xian Yue, Jian Fei1*
Mathematics and Science College, Shanghai Normal University, Shanghai 200234, China; 1College of Life Science and Technology, Tongji University, Shanghai 200092, China; 2Institute of Biochemistry and Cell Biology, Shanghai Institutes
Abstract: The cooperative relations among transcription factors and the cis-regulatory logic are both fundamental in DNA transcription activation. To predict the functional cooperative relationship patterns among trans-cooperative factors existing in a gene expression regulation， we propose a new method， which is based on the multiple stepwise regression analysis， to identify cooperation among NF-κB (p65)， AP1， and CREB in transcription activation of human cytomegalovirus major IE1 promoter/enhancer (MIEP). The computational results show that the method is effective and can be applied on understanding the transcription control systems.
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