Jong-Eun Park

HARP integrates PBMC data from multiple studies to create a reference atlas with consensus annotations and identifies age, sex, and disease-related cellular modules.

The paper shows that eosinophils modulate neutrophil differentiation into pathogenic Siglec-Fhi neutrophils via GPR43, exacerbating allergic airway inflammation.

This study creates a proteome-wide gain-of-function atlas to map chemotherapy responses and identifies drug combinations to overcome resistance.

The paper identifies a new subpopulation of aged muscle stem cells (GERI-MuSCs) that are senolytic-sensitive and rejuvenation-responsive, characterized by CD200 and CD63 markers.

The paper identifies CLCN4 variants causing neuronal cell death and autophagy impairment, showing MEG3 restoration rescues these defects in human neurons.

The paper constructs a single-cell atlas of developing human brains to analyze the temporal and cellular specificity of neurological disorder genes across 393,060 cells.

Genes2Genes aligns single-cell trajectories using a Bayesian DP framework, revealing gene-level mismatches and highlighting differences in T cell differentiation between in vitro and in vivo states.

This study creates a prenatal human skin cell atlas, revealing immune cells' role in skin development and showing their impact on vascular and hair follicle formation.

This study uses single-cell transcriptomics to identify gene regulatory networks and lineage trajectories in human fetal thymic epithelial cells, revealing interferon response pathways that distinguish thymic epithelium from other anterior foregut-derived organs.

The paper generates a molecular map of human in vitro myelopoiesis from iPSC to macrophages, revealing conserved regulatory networks and new myeloid progenitors.

This study maps the temporal and spatial dynamics of the human endometrium using single-cell and spatial reference maps, identifying key signaling pathways regulating cell fate in vivo and in vitro.

MultiMAP integrates multimodal data by reducing dimensionality and preserving structure, outperforming existing methods in various tasks.

BBKNN integrates multiple mouse single cell RNA-Seq datasets into a unified landscape by efficiently removing batch effects and revealing cell type and organ-specific markers.

The paper uses single-cell transcriptomics to map hematopoiesis in human fetal liver, identifying cell differentiation trajectories and shifts in hematopoietic composition during development.

The paper profiles single-cell transcriptomes from the human first trimester fetal-maternal interface, revealing cellular composition and interactions critical for placentation.