Research Project
Grant-in-Aid for Young Scientists (B)
We have developed a novel method to characterize potential promoter activities of proximal promoters of human genes at a single-base resolution. We introduced an average of 1-2 % mutations at random positions and subjected them to systematic reporter gene assays. Their sequences and encoding promoter activities were characterized by the next generation sequencing technology. We could extract information on transcriptional regulation at a single-base resolution from the multiple linear regression model. We consider that it is possible to design of the promoter sequence from the promoter prediction model.
All 2016 2015 2014
All Presentation (4 results) (of which Invited: 1 results) Book (1 results)
