Jimin Min

The paper identifies four epithelial transcription states in pancreatic cancer and links their origins to early developmental processes.

This study uses AI-driven proteomics to identify molecular transitions in pancreatic cancer precursors, revealing early molecular changes in histologically normal tissue.

UniST reconstructs dense 3D spatial transcriptomics data from sparse serial sections, restoring structural continuity and biologically meaningful expression patterns in multiple tissue contexts.

This study identifies cellular and microenvironmental factors contributing to radiation therapy resistance in pancreatic cancer using spatial transcriptomics and single-cell RNA sequencing.

PIVOT is an open-source tool for nonlinear registration of multi-omic spatial data, demonstrating improved throughput compared to existing workflows.

This study shows that mutant GNAS drives a gastric metaplasia gene signature and glycolytic dependency in IPMNs, offering a therapeutic target.