Vira V. Kravets

Computational modelling of natural cell-to-cell heterogeneity reveals key parameters that control the diversity of human pancreatic islet β-cell excitability in response to glucose

The paper uses computational modeling to identify key parameters controlling glucose-induced excitability diversity in human pancreatic β-cells.

Diminished gap junction coupling under diabetogenic conditions does not drive loss of functional beta-cell sub-populations

This study shows that restoring gap junction coupling does not fully recover functional beta-cell sub-populations under diabetogenic conditions.

Exploring the intrinsic and extrinsic determinants of heterogeneity in a β-cell network

This study evaluates two β-cell network models, introduces heterogeneity based on single-cell gene expression, and incorporates paracrine signaling to improve physiological realism.

Differentiating the Roles of Metabolic Similarity and Ionic Coupling in Determining the Beta Hub Cell Phenotype

This study investigates how intrinsic metabolic and electrophysiologic properties and ionic coupling contribute to the beta hub cell phenotype in pancreatic islets.

Network approach reveals preferential T-cell and macrophage association with α-linked β-cells in early stage of insulitis in NOD mice.

The paper uses network analysis to show that in early insulitis, immune cells preferentially interact with β-cells in specific regions of pancreatic islets in NOD mice.