James G. Lyon

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 examines islet isolation and culture outcomes at the Alberta Diabetes Institute IsletCore, finding islet loss occurs within 24 hours of isolation with no further loss after extended culture.

HumanIslets.com provides an open platform for accessing and analyzing human islet data, enabling research on diabetes through integrated molecular and cellular phenotyping.

A genome-wide CRISPR screen in human pancreatic beta cells identifies 580 genes influencing insulin content, supporting 20 candidate type 2 diabetes effector transcripts.

This study links transcriptomic heterogeneity in pancreatic islet cells to their physiological function using a combined electrophysiological and single-cell RNA sequencing approach, identifying genes and pathways associated with diabetes-related dysfunction.