Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases.

ABSTRACT: Disease risk prediction based on genomic sequence and transcriptional profile can improve disease screening and prevention. Despite identifying many disease-associated DNA variants, distinguishing deleterious non-coding DNA variations remains poor for most common diseases. In this study, we designed in vitro experiments to uncover the significance of occupancy and competitive binding between P53 and cMYC on common target genes. Analyzing publicly available ChIP-seq data for P53 and cMYC in embryonic stem cells showed that ~344-366 regions are co-occupied, and on average, two cis-overlapping motifs (CisOMs) per region were identified, suggesting that co-occupancy is evolutionarily conserved. Using U2OS and Raji cells untreated and treated with doxorubicin to increase P53 protein level while

SUBMITTER: Kin K 

PROVIDER: S-EPMC11413647 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature