Marcela Briššová

The paper integrates multiple scRNA-seq datasets to create a comprehensive atlas of human pancreatic islets, identifying 13 cell populations and providing a resource for diabetes research.

The paper maps the morphological and functional maturation of human endocrine pancreas from birth to age 10 using pediatric tissue samples and imaging techniques.

The paper constructs a healthy human pancreas reference atlas to contextualize disease states and benchmark models.

In 299 islet preparations from donors without diabetes, endocrine cell composition, not donor demographics, tracked insulin secretion, and δ cell percentage rose with type 2 diabetes genetic risk.

CelLink integrates single-cell multi-omics data by addressing weak feature linkage and imbalanced cell populations, outperforming existing methods in imputation accuracy and cell subtype annotation.

The paper identifies islet-specific DNA hypomethylated regions linked to T2D risk by integrating DNA methylation data with GWAS and EHR data.

The paper develops a knowledge graph framework to extract biomedical knowledge from PubMed, creating a database that enhances transparency in biomedical AI applications.

AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics data, showing improved performance over existing methods in diabetic tissue analysis.

The paper identifies combinatorial transcription factor expression in human islet cells and shows it correlates with functional maturity and electrophysiological activity.