Martha Campbell‐Thompson

This study identifies transcriptional impairments in mitochondrial and protein homeostasis pathways in islets during type 1 diabetes pathogenesis, independent of T-cell infiltration.

This study uses spatial transcriptomics to identify inflammation signatures in pancreas and lymph node tissues of T1D patients, highlighting LTB and other genes involved in disease pathogenesis.

The paper uses 3D imaging to analyze pancreatic islets in healthy and type 1 diabetes (T1D) individuals, finding that islet size and composition influence their loss in T1D.

The paper uses single-islet proteomics to analyze pseudo-temporal immune responses and beta-cell dysfunction in stage 1 T1D, identifying key pathways involved in islet dysfunction.

The paper analyzes endothelial cell environments across organs using spatially resolved omics data and provides an interactive tool for visualizing cell distances and neighborhoods.

This study shows that beta cell dysfunction occurs in type 1 diabetes independently of T cell infiltration, using human pancreas tissue slices from recently diagnosed patients.

Laser-microdissected islets of 3 multiple-autoantibody-positive stage 1 type 1 diabetes donors versus matched controls show 202 altered proteins: immune and glycolytic up, translation and ER-stress proteins down.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

This study benchmarks label-free and TMT-MS2 methods for spatial proteome mapping, showing label-free provides deeper coverage and higher dynamic range, while TMT-MS2 offers faster throughput.

The paper develops a spatial proteomics method to map the human pancreatic islet microenvironment and identifies spatial gradients in RNA processing proteins.