RNA-seq for dual BET/p300 inhibitors in pancreactic cancer cells

The goals of this study are to compare transcriptome profiling (RNA-seq) of seletive BET inhibitior, combiantion of BET and p300 inhibitor, and dual BET/p300 inhibitor in pancreatic cancer model (PANC1 cells) and study the anticancer mechanism. Using an optimized data analysis workflow, we mapped about 20 million sequence reads per sample to the human genome (build hg38) using Burrows Wheeler Aligner- Maximum Exact Match (BWA MEM) algorithm. The raw count for each gene was quantified using the general purpose read summarization function, featureCounts gainst ENSEMBL genes. Differential analysis was performed using edgeR, including a batch effect correction for batch effects. Geneset enrichment analysis based on the differential analysis idenfied few essential pathways that was the mechansim of action, including KRAS, TGFb, etc. Retinal mRNA profiles of 21-day old wild type (WT) and Nrl-/- mice