Ruth M. Elgamal

This study identifies cell type-specific eQTLs in the human pancreas using single-cell RNA-seq data and deconvoluted bulk RNA-seq data, revealing new genetic signals and associations with metabolic disease.

The paper identifies gene regulators of ER stress in beta cells and links them to type 2 diabetes risk through functional genomics and CRISPR screening.

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.

The paper integrates single-cell multi-omics and 3D genome data from human hearts to identify gene regulatory changes and causal genetic contributors in heart failure.

The paper examines sex and race differences in human pancreatic islets using scRNA-seq and snATAC-seq, finding sex-specific gene expression and chromatin accessibility differences in β cells that change with type 2 diabetes.

The paper identifies causal biomarkers for type 1 diabetes using protein QTLs and GWAS, revealing roles of pancreatic enzymes and immune processes in disease risk.

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.

The paper identifies T1D risk genes and regulatory elements that influence beta cell survival under proinflammatory cytokine exposure using functional genomics and genetics.