Yuliangzi Sun

This study compares sixteen iPSC-CM differentiation protocols to identify how protocol-dependent cell states affect disease modeling capacity for cardiovascular conditions.

This paper benchmarks 20 methods for mapping trait-cell type associations by integrating GWAS and scRNA-seq data, finding CATCH to be the most robust approach.

This study uses spatial transcriptomics to analyze liver fibrosis stages in MASLD, identifying metabolic reprogramming and senescence signatures linked to fibrosis progression.

The paper introduces TRIAGE-Cluster and TRIAGE-ParseR to define cell diversity in scRNA-seq data using epigenetic data as a biological anchor.

The paper creates an iPSC differentiation atlas and identifies TMEM88 as a regulator of mesendodermal development and blood pressure.

This study identifies HOPX as a molecular switch regulating cardiomyocyte progenitor and maturation gene programs, linking it to cardiac function and genetic variation.