Hannah M Mummey

This study uses single-cell and spatial profiling to identify cellular and molecular drivers of beta cell dysfunction in the pancreas of cystic fibrosis patients.

This study shows that ATM-deficient pancreatic cancers reprogram the tumor microenvironment via TGF-β-driven myCAF enrichment, and targeting this stromal axis with chemotherapy improves therapeutic efficacy.

This study uses single-cell multiomics and spatial transcriptomics to identify gene regulatory programs in pancreatic cell types that drive type 1 diabetes progression.

This study uses single-cell multi-omics to identify cell type-specific regulatory networks and novel therapeutic targets in MASLD.

This study investigates islet cell dysfunction in type 1 diabetes by integrating electrophysiological, transcriptomic, and machine learning analyses of human islet cells from T1D donors.

The paper uses single-cell multiome profiling to identify gene regulatory changes in pancreatic islets linked to diabetes risk factors like age, sex, and genetic variants.

The paper creates an integrated gene expression map of pancreatic islet cell types from healthy and diabetic donors, identifying marker genes and differential expression patterns.