Project description:Mammalian genome encodes approximately 1,700 transcription factors (TFs), 1,300 out of which have sequence specific binding motifs. Transcription in mammalian cells is regulated by the recruitment of TFs to specific cis-regulatory elements. In spite of consistent efforts on the function of individual TF, the question still remains how TFs bind to DNA and form enhancer. Here, we try to solve this problem by investigating the relationship between TF binding pattern and chromatin accessibility (ATAC-Seq). We first systematically acquired ATAC-Seq dataset as well as matched RNA-Seq dataset from different mouse primary tissues. A comprehensive TF binding map was built for each tissue/cell type by genomic approaches.
Project description:Mammalian genome encodes approximately 1,700 transcription factors (TFs), 1,300 out of which have sequence specific binding motifs. Transcription in mammalian cells is regulated by the recruitment of TFs to specific cis-regulatory elements. In spite of consistent efforts on the function of individual TF, the question still remains how TFs bind to DNA and form enhancer. Here, we try to solve this problem by investigating the relationship between TF binding pattern and chromatin accessibility (ATAC-Seq). We first systematically acquired ATAC-Seq dataset as well as matched RNA-Seq dataset from different mouse primary tissues. A comprehensive TF binding map was built for each tissue/cell type by genomic approaches.
Project description:Mammalian genome encodes approximately 1,700 transcription factors (TFs), 1,300 out of which have sequence specific binding motifs. Transcription in mammalian cells is regulated by the recruitment of TFs to specific cis-regulatory elements. In spite of consistent efforts on the function of individual TF, the question still remains how TFs bind to DNA and form enhancer. Here, we try to solve this problem by investigating the relationship between TF binding pattern and chromatin accessibility (ATAC-Seq). We first systematically acquired ATAC-Seq dataset as well as matched RNA-Seq dataset from different mouse primary tissues. A comprehensive TF binding map was built for each tissue/cell type by genomic approaches.
Project description:Mithramycin A in known to bind DNA but its exact cellular mechanism of action is still unclear. We used Affymatrix GenFlex_Tag_16K_V2 microarrays to profile sensitivity of genetically barcoded S. cerevisiae gene deletion strains to mithramycin A