Transcriptomic profiling of pancreatic cancer cells and tissues from genetically engineered mouse models

Total RNA was extracted from two types of samples: (1) pancreatic cancer cells isolated from KPC and KPNiC tumors, and (2) whole pancreatic tissue lysates from WT, NiC, KC, and KNiC mice. RNA-seq libraries were polyA-selected and strand-specific, sequenced on the DNBSEQ-G400 platform (BGI Genomics).

Bioinformatic analyses included read alignment (HISAT2), quantification (RSEM), differential gene expression (DESeq2), and gene set enrichment analysis (GSEA). This dataset provides insights into the impact of NIK deletion on pancreatic tumor biology.