Data-driven and technical approaches to understand spatial gene regulation
2020年1月16日 14:00 - 15:00

セミナー

神戸

DB Bldg. SeminarRoom A7F

Shinya Oki

Graduate School of Medical Science, Kyushu University

ポスターをダウンロード

Gene expression is precisely regulated by transcription factors (TFs) and chromatin structures, but their combinatorial actions for cell type-specific expression are not fully understood. Here, I developed a database designated ChIP-Atlas (https://chip-atlas.org), which integrates all of public ChIP-seq data including more than 120,000 experiments. The integrated data were further analyzed to identify TFs associated with tissue-specific gene expression and disease risk. In addition, I established a high-resolution spatial genomics technology, named photo-isolation chemistry, which allows to isolate gene expression profiles only from photo-irradiated regions out of whole tissues. This chemistry has a potential to be applied for other genomics technologies such as ATAC-seq and Bisulfite-seq. Combination of those data-driven and technical approaches will accelerate to gain deeper insight into the mechanisms of spatial gene regulation.

Hiroshi Hamada