Abstract

Notch signaling plays a crucial role in cell development and proliferation. The Notch receptor is an inducible transcription factor found on the cell surface which is cleaved resulting in the release of the intracellular domain (NICD). The NICD enters the nucleus and complexes with CBF1 and Mastermind (MAM) to activate target genes. CBF1 recognizes the binding motif RTGRGAR (R=G or A), and this is referred to an NRE (Notch Response Element). Recent studies have shown that a paired CBF1 binding site is also important for target gene activation. While individual genes regulated by SPS are known, the extent to which an SPS vs individual NREs are responsible for Notch‐mediated transcription on a genomic level remains an active area of research. It is hypothesized that the majority of Notch‐mediated transcription occurs as a result of a dimeric Notch complex in the promoters or enhancers of transcribed genes. Recently, high‐throughput techniques have allowed the study of Notch complex assembly and their effects on transcription. Here, we use an Oxford Nanopore Platform was used.To identify genes regulated by Notch transcriptional complexes, RNA‐Seq was performed. Total RNA was isolated from SUPT1 cells treated with 5 µM of the Notch inhibitor DAPT for 24 hours, or DMSO as a control. Poly‐A RNA was purified using an oligo‐dT column and double‐stranded cDNA generated. PCR adapters were nonspecifically ligated to cDNA and amplified to increase library yield. Sequencing was performed using an Oxford Nanopore Minion, and results were mapped to the human reference genome to identify genes significantly downregulated when Notch was inhibited. To identify NREs and SPS in the regulatory elements of these genes, ChIP‐Seq was performed for Notch. ChIP was performed in DAPT and DMSO treated cells, and ChIP DNA used to prepare a sequencing library as above. Sequenced fragments were aligned to a known regulatory elements dataset, and genes with significant Notch binding identified.RNA‐Seq data shows significant downregulation of known Notch targets genes, such as Hes1, Hey1, and Hes4. Sequenced mRNA fragments, however, averaged 1kb suggesting size selectivity during the purification or amplification steps of library preparation. Additionally, underrepresentation of other Notch known targets such as Hes5 may suggest that computational stringency may have to be adjusted. We are currently pursuing ChIP‐Seq experiments that will be presented at the conference to identify the locations of SPS in the genome. Identified SPS in regulatory elements will then be correlated with the genes they activate, and the downstream effects on transcription analyzed. It is expected that a large number of genes that are inactivated under Notch inhibition conditions will exhibit a SPS in a corresponding regulatory element.

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