DR-391 Identifying cancer causing regulators using high throughput transcriptomics and whole-genomics data

Here, we propose to identify the link between noncoding regulatory mutations and the aberrantly activated regulatory proteins in cancer cells that implement the dysregulatory programs, using both whole genome and gene expression datasets. Previous studies have focused primarily on coding mutations, but the dysregulatory cellular programs that create and sustain cancer are not well studied. Through combined whole-genome and -transcriptome analyses, we aim to identify the key regulatory proteins orchestrating dysregulation in cancer cells. The findings will elucidate novel mechanistic details of dysregulation in cancer and facilitate drug development and precision medicine.

Felix Dietlein, Chidren’s Hospital Boston, USA