研究期間：10108~10207;In this project, we propose an analysis flow to combine genome databases, analysis tools and methods to identify transcription factors, regulation targets and relationship between transcription factors and targets. We plan to collect gene expression profiles and to examine dependency between a transcription factor and feasible regulation targets. Several positive samples contains transcription factor and its known regulation targets are successful identified in our pilot study. This system can also report a group of genes potentially regulated by the transcription factors. The putative targets are also verified by biological experiments in our pilot study. We will also develop an approach to identify regulation partners that cause of the differentially regulation in different cell-lines. The approach will use discriminate analysis to build classification models and select discriminate transcription factor from the discriminate models to be the candidates the regulation partner in the regulation module. In our pilot study in liver cancer cell-lines, several putative cofactors are known related to various cancers. It shows the proposed approach is sufficient to identify regulation module and regulation targets. In this project, we will completely examine the proposed approaches at first. Then we will develop a system to identity regulation modules and downstream regulation targets based on the proposed approach.
