Yan Hang

Metabolic STAMP reveals GPCR signaling networks that program β-cell insulin secretion

The paper uses Metabolic STAMP to map GPCR signaling pathways in β-cells, revealing distinct kinase programs and phospho-signatures that modulate insulin secretion.

Stromal KITL/SCF promotes pancreas tissue homeostasis and restrains tumor progression

The paper identifies loss of stromal KITL as a mechanism promoting tumor progression in the pancreas by disrupting tissue homeostasis.

Integration of single-cell multiomic measurements across disease states with genetics identifies mechanisms of beta cell dysfunction in type 2 diabetes

The paper integrates single-cell multiomic data with genetics to identify gene regulatory changes in beta cells associated with type 2 diabetes.

Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

The Tabula Sapiens: a multiple organ single cell transcriptomic atlas of humans

Nearly 500,000 cells from 24 human tissues, many from one donor, characterize over 400 cell types and enable within-donor study of T-cell clones, B-cell mutation rates and splicing.

Molecular hallmarks of heterochronic parabiosis at single cell resolution

This study uses single-cell RNA-sequencing to analyze cell type-specific responses to young or aged blood in heterochronic parabiosis, identifying mitochondrial function as a key factor in rejuvenation.

Single nucleus and in situ RNA sequencing reveals cell topographies in the human pancreas

The paper uses single nucleus and in situ RNA sequencing to create a comprehensive atlas of human pancreas cells, revealing cell topographies and differences between adult and neonatal pancreata.

Pancreas patch-seq links physiologic dysfunction in diabetes to single-cell transcriptomic phenotypes

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.